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<article xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:oasis="http://docs.oasis-open.org/ns/oasis-exchange/table" dtd-version="3.0">
  <front>
    <journal-meta>
<journal-id journal-id-type="publisher">WES</journal-id>
<journal-title-group>
<journal-title>Wind Energy Science</journal-title>
<abbrev-journal-title abbrev-type="publisher">WES</abbrev-journal-title>
<abbrev-journal-title abbrev-type="nlm-ta">Wind Energ. Sci.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">2366-7451</issn>
<publisher><publisher-name>Copernicus Publications</publisher-name>
<publisher-loc>Göttingen, Germany</publisher-loc>
</publisher>
</journal-meta>

    <article-meta>
      <article-id pub-id-type="doi">10.5194/wes-2-317-2017</article-id><title-group><article-title>Vortex particle-mesh simulations of vertical axis wind turbine flows: from the airfoil performance to the <?xmltex \hack{\break}?> very far wake</article-title>
      </title-group><?xmltex \runningtitle{VPM simulations of VAWT flows}?><?xmltex \runningauthor{P.~Chatelain et al.}?>
      <contrib-group>
        <contrib contrib-type="author" corresp="yes" rid="aff1">
          <name><surname>Chatelain</surname><given-names>Philippe</given-names></name>
          <email>philippe.chatelain@uclouvain.be</email>
        <ext-link>https://orcid.org/0000-0001-9891-5265</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1">
          <name><surname>Duponcheel</surname><given-names>Matthieu</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1">
          <name><surname>Caprace</surname><given-names>Denis-Gabriel</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1 aff2">
          <name><surname>Marichal</surname><given-names>Yves</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1">
          <name><surname>Winckelmans</surname><given-names>Grégoire</given-names></name>
          
        </contrib>
        <aff id="aff1"><label>1</label><institution>Institute of Mechanics, Materials and Civil Engineering, Université catholique de Louvain, 1348 Louvain-la-Neuve, Belgium</institution>
        </aff>
        <aff id="aff2"><label>2</label><institution>Wake Prediction Technologies (WaPT), Rue Louis de Geer 6, 1348 Louvain-la-Neuve, Belgium</institution>
        </aff>
      </contrib-group>
      <author-notes><corresp id="corr1">Philippe Chatelain (philippe.chatelain@uclouvain.be)</corresp></author-notes><pub-date><day>19</day><month>June</month><year>2017</year></pub-date>
      
      <volume>2</volume>
      <issue>1</issue>
      <fpage>317</fpage><lpage>328</lpage>
      <history>
        <date date-type="received"><day>15</day><month>December</month><year>2016</year></date>
           <date date-type="rev-request"><day>2</day><month>January</month><year>2017</year></date>
           <date date-type="rev-recd"><day>10</day><month>April</month><year>2017</year></date>
           <date date-type="accepted"><day>16</day><month>May</month><year>2017</year></date>
      </history>
      <permissions>
<license license-type="open-access">
<license-p>This work is licensed under the Creative Commons Attribution 3.0 Unported License. To view a copy of this licence, visit <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/3.0/">https://creativecommons.org/licenses/by/3.0/</ext-link></license-p>
</license>
</permissions><self-uri xlink:href="https://wes.copernicus.org/articles/.html">This article is available from https://wes.copernicus.org/articles/.html</self-uri>
<self-uri xlink:href="https://wes.copernicus.org/articles/.pdf">The full text article is available as a PDF file from https://wes.copernicus.org/articles/.pdf</self-uri>


      <abstract>
    <p>A vortex particle-mesh (VPM) method with immersed lifting lines has been
developed and validated. Based on the vorticity–velocity formulation of the
Navier–Stokes equations, it combines the advantages of a particle method and
of a mesh-based approach. The immersed lifting lines handle the creation of
vorticity from the blade elements and its early development. Large-eddy simulation (LES) of vertical axis wind turbine (VAWT) flows is performed. The complex wake development is
captured in detail and over up to <inline-formula><mml:math id="M1" display="inline"><mml:mn mathvariant="normal">15</mml:mn></mml:math></inline-formula> diameters downstream: from the
blades to the near-wake coherent vortices and then through the transitional ones
to the fully developed turbulent far wake (beyond <inline-formula><mml:math id="M2" display="inline"><mml:mn mathvariant="normal">10</mml:mn></mml:math></inline-formula> rotor diameters). The
statistics and topology of the mean flow are studied. The computational sizes
also allow insights into the detailed unsteady vortex dynamics and
topological flow features, such as a recirculation region influenced by the
tip speed ratio and the rotor geometry.</p>
  </abstract>
    </article-meta>
  </front>
<body>
      

<sec id="Ch1.S1" sec-type="intro">
  <title>Introduction</title>
      <p>The aerodynamics of vertical axis wind turbines (VAWTs) are inherently
unsteady, which leads to vorticity shedding mechanisms due to both the lift
distribution along the blade and its time evolution. This translates into a
wake topology that is far more complex and unsteady than for VAWTs' horizontal axis counterparts (HAWTs), a characteristic which could be indicative of more
intense wake decay mechanisms for VAWTs. Additionally, their inherent
insensitivity to wind direction changes suggests a more robust efficiency in
turbulent conditions. Naturally, both traits have led to several claims of an
advantage of VAWTs over HAWTs in wind
farms <xref ref-type="bibr" rid="bib1.bibx29 bib1.bibx20" id="paren.1"><named-content content-type="pre">e.g.,</named-content></xref> and thus to promises of
higher power extraction densities. These, together with potential operational
gains (maintenance costs, the disappearance of yawing actuation), have
led to some definite research momentum in VAWT aerodynamics, in the shape of
experimental <xref ref-type="bibr" rid="bib1.bibx14 bib1.bibx1" id="paren.2"/> and
numerical <xref ref-type="bibr" rid="bib1.bibx33 bib1.bibx15" id="paren.3"/> studies. However, because of
their unsteady aerodynamics, VAWT simulation and modeling tools have not
reached yet the level of development of those for HAWTs, e.g., the blade  element momentum method. Numerical investigations of VAWT wake phenomena have
only been tackled recently <xref ref-type="bibr" rid="bib1.bibx34" id="paren.4"/>, but the volume of these
efforts is quite underwhelming when compared to all the comparable works on
HAWTs <xref ref-type="bibr" rid="bib1.bibx36" id="paren.5"/>, and the computational domains and resolutions of
existing studies are quite limited. In this paper, we perform large-scale,
highly resolved large-eddy simulation of the flows past vertical axis wind turbines by means of a state-of-the-art vortex particle-mesh (VPM) method
combined with immersed lifting lines <xref ref-type="bibr" rid="bib1.bibx7" id="paren.6"/>. We focus on the
intrinsic vortex dynamics and wake decay mechanisms; all simulations are thus
carried out without turbulence in the wind. The simulation tool is validated
against experimental aerodynamic data and is then run for a standard,
medium-solidity, H-shaped machine: mean flow and turbulence statistics are
computed over more than <inline-formula><mml:math id="M3" display="inline"><mml:mn mathvariant="normal">15</mml:mn></mml:math></inline-formula> diameters downstream of the machine. The
sensitivity of the wake behavior to the operating conditions (tip speed
ratio, TSR) and to the machine aspect ratio (AR) is also assessed. This paper
is structured as follows. We briefly call to mind the VPM method in Sect. <xref ref-type="sec" rid="Ch1.S2"/> and present some of the advances that enabled
the large-eddy simulation of wind turbines within this VPM context: the
multiscale sub-grid scale model and the modeling of blades through immersed
lifting lines. Section <xref ref-type="sec" rid="Ch1.S3"/> presents some validation of our
methodology and then moves to the study of a standard VAWT from the perspectives
of its aerodynamics and its wake dynamics. We close this paper in
Sect. <xref ref-type="sec" rid="Ch1.S4"/> with our conclusions and perspectives.</p>
</sec>
<sec id="Ch1.S2">
  <title>Methodology</title>
<sec id="Ch1.S2.SS1">
  <title>The vortex particle-mesh method</title>
      <p>The coarse-scale aerodynamics and the wake of the VAWT are simulated using a
massively parallel implementation of a vortex particle-mesh flow solver. The
present method relies on the large-eddy simulation in the vorticity–velocity
formulation for incompressible flows (<inline-formula><mml:math id="M4" display="inline"><mml:mrow><mml:mi mathvariant="normal">∇</mml:mi><mml:mo>⋅</mml:mo><mml:mi mathvariant="bold-italic">u</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">0</mml:mn></mml:mrow></mml:math></inline-formula>):
            <disp-formula id="Ch1.E1" content-type="numbered"><mml:math id="M5" display="block"><mml:mrow><mml:mstyle displaystyle="true"><mml:mfrac style="display"><mml:mrow><mml:mi>D</mml:mi><mml:mi mathvariant="bold-italic">ω</mml:mi></mml:mrow><mml:mrow><mml:mi>D</mml:mi><mml:mi>t</mml:mi></mml:mrow></mml:mfrac></mml:mstyle><mml:mo>=</mml:mo><mml:mfenced open="(" close=")"><mml:mi mathvariant="bold-italic">ω</mml:mi><mml:mo>⋅</mml:mo><mml:mi mathvariant="normal">∇</mml:mi></mml:mfenced><mml:mi mathvariant="bold-italic">u</mml:mi><mml:mo>+</mml:mo><mml:mi mathvariant="italic">ν</mml:mi><mml:msup><mml:mi mathvariant="normal">∇</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msup><mml:mi mathvariant="bold-italic">ω</mml:mi><mml:mo>+</mml:mo><mml:mi mathvariant="normal">∇</mml:mi><mml:mo>⋅</mml:mo><mml:msup><mml:mi mathvariant="bold">T</mml:mi><mml:mi>M</mml:mi></mml:msup><mml:mo>,</mml:mo></mml:mrow></mml:math></disp-formula>
          where <inline-formula><mml:math id="M6" display="inline"><mml:mi mathvariant="italic">ν</mml:mi></mml:math></inline-formula> is the kinematic viscosity and <inline-formula><mml:math id="M7" display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="bold">T</mml:mi><mml:mi>M</mml:mi></mml:msup></mml:mrow></mml:math></inline-formula> is the sub-grid scale (SGS) model. The velocity field is recovered from the vorticity by
solving the Poisson equation
            <disp-formula id="Ch1.E2" content-type="numbered"><mml:math id="M8" display="block"><mml:mrow><mml:msup><mml:mi mathvariant="normal">∇</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msup><mml:mi mathvariant="bold-italic">u</mml:mi><mml:mo>=</mml:mo><mml:mo>-</mml:mo><mml:mi mathvariant="normal">∇</mml:mi><mml:mo>×</mml:mo><mml:mi mathvariant="bold-italic">ω</mml:mi><mml:mspace width="0.25em" linebreak="nobreak"/><mml:mo>.</mml:mo></mml:mrow></mml:math></disp-formula>
          The advection of vorticity is handled in a Lagrangian fashion using
particles, characterized by a position <inline-formula><mml:math id="M9" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="bold-italic">x</mml:mi><mml:mi mathvariant="normal">p</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>, a volume
<inline-formula><mml:math id="M10" display="inline"><mml:mrow><mml:msub><mml:mi>V</mml:mi><mml:mi mathvariant="normal">p</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>, and a vorticity integral <inline-formula><mml:math id="M11" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="bold-italic">α</mml:mi><mml:mi mathvariant="normal">p</mml:mi></mml:msub><mml:mo>=</mml:mo><mml:msub><mml:mo>∫</mml:mo><mml:mrow><mml:msub><mml:mi>V</mml:mi><mml:mi mathvariant="normal">p</mml:mi></mml:msub></mml:mrow></mml:msub><mml:mi mathvariant="bold-italic">ω</mml:mi><mml:mi mathvariant="normal">d</mml:mi><mml:mi mathvariant="bold-italic">x</mml:mi></mml:mrow></mml:math></inline-formula>:

                <disp-formula specific-use="eqnarray" content-type="numbered"><mml:math id="M12" display="block"><mml:mtable displaystyle="true"><mml:mlabeledtr id="Ch1.E3"><mml:mtd/><mml:mtd><mml:mrow><mml:mstyle displaystyle="true"><mml:mfrac style="display"><mml:mrow><mml:mi mathvariant="normal">d</mml:mi><mml:msub><mml:mi mathvariant="bold-italic">x</mml:mi><mml:mi mathvariant="normal">p</mml:mi></mml:msub></mml:mrow><mml:mrow><mml:mi mathvariant="normal">d</mml:mi><mml:mi>t</mml:mi></mml:mrow></mml:mfrac></mml:mstyle></mml:mrow></mml:mtd><mml:mtd><mml:mrow><mml:mstyle displaystyle="true" class="stylechange"/><mml:mo>=</mml:mo></mml:mrow></mml:mtd><mml:mtd><mml:mrow><mml:mstyle displaystyle="true" class="stylechange"/><mml:msub><mml:mi mathvariant="bold-italic">u</mml:mi><mml:mi mathvariant="normal">p</mml:mi></mml:msub><mml:mo>,</mml:mo></mml:mrow></mml:mtd></mml:mlabeledtr><mml:mlabeledtr id="Ch1.E4"><mml:mtd/><mml:mtd><mml:mrow><mml:mstyle displaystyle="true"><mml:mfrac style="display"><mml:mrow><mml:mi mathvariant="normal">d</mml:mi><mml:msub><mml:mi mathvariant="bold-italic">α</mml:mi><mml:mi mathvariant="normal">p</mml:mi></mml:msub></mml:mrow><mml:mrow><mml:mi mathvariant="normal">d</mml:mi><mml:mi>t</mml:mi></mml:mrow></mml:mfrac></mml:mstyle></mml:mrow></mml:mtd><mml:mtd><mml:mrow><mml:mstyle class="stylechange" displaystyle="true"/><mml:mo>=</mml:mo></mml:mrow></mml:mtd><mml:mtd><mml:mrow><mml:mstyle class="stylechange" displaystyle="true"/><mml:msub><mml:mfenced open="(" close=")"><mml:mo>(</mml:mo><mml:mi mathvariant="bold-italic">ω</mml:mi><mml:mo>⋅</mml:mo><mml:mi mathvariant="normal">∇</mml:mi><mml:mo>)</mml:mo><mml:mi mathvariant="bold-italic">u</mml:mi><mml:mo>+</mml:mo><mml:mi mathvariant="italic">ν</mml:mi><mml:msup><mml:mi mathvariant="normal">∇</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msup><mml:mi mathvariant="bold-italic">ω</mml:mi><mml:mo>+</mml:mo><mml:mi mathvariant="normal">∇</mml:mi><mml:mo>⋅</mml:mo><mml:msup><mml:mi mathvariant="bold">T</mml:mi><mml:mi>M</mml:mi></mml:msup></mml:mfenced><mml:mi mathvariant="normal">p</mml:mi></mml:msub><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msub><mml:mi>V</mml:mi><mml:mi mathvariant="normal">p</mml:mi></mml:msub><mml:mspace width="0.25em" linebreak="nobreak"/><mml:mo>,</mml:mo></mml:mrow></mml:mtd></mml:mlabeledtr></mml:mtable></mml:math></disp-formula>

            where we identify the roles of the velocity field in the advection and of
the vortex stretching, diffusion and SGS terms for the evolution of
vorticity.</p>
      <p>The right-hand sides of these equations are evaluated efficiently on an
underlying mesh <xref ref-type="bibr" rid="bib1.bibx6" id="paren.7"/>. The stretching and diffusion
operators use fourth-order finite differences, and Eq. (<xref ref-type="disp-formula" rid="Ch1.E2"/>) is
solved efficiently with a Fourier-based solver. In this work, we rely on the
technique used by <xref ref-type="bibr" rid="bib1.bibx5" id="text.8"/>, which handled a combination of
periodic and unbounded directions through the approach of
<xref ref-type="bibr" rid="bib1.bibx17" id="text.9"/>. It is here extended to an inflow–outflow direction, say
<inline-formula><mml:math id="M13" display="inline"><mml:mi>x</mml:mi></mml:math></inline-formula>, and two unbounded directions, <inline-formula><mml:math id="M14" display="inline"><mml:mi>y</mml:mi></mml:math></inline-formula> and <inline-formula><mml:math id="M15" display="inline"><mml:mi>z</mml:mi></mml:math></inline-formula>. A Fourier transform along <inline-formula><mml:math id="M16" display="inline"><mml:mi>x</mml:mi></mml:math></inline-formula>
yields
            <disp-formula id="Ch1.E5" content-type="numbered"><mml:math id="M17" display="block"><mml:mrow><mml:msubsup><mml:mi mathvariant="normal">∇</mml:mi><mml:mrow><mml:mi>y</mml:mi><mml:mi>z</mml:mi></mml:mrow><mml:mn mathvariant="normal">2</mml:mn></mml:msubsup><mml:mover accent="true"><mml:mi mathvariant="bold-italic">u</mml:mi><mml:mo mathvariant="normal">̃</mml:mo></mml:mover><mml:mo>-</mml:mo><mml:msubsup><mml:mi>k</mml:mi><mml:mi>x</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msubsup><mml:mover accent="true"><mml:mi mathvariant="bold-italic">u</mml:mi><mml:mo mathvariant="normal">̃</mml:mo></mml:mover><mml:mo>=</mml:mo><mml:mo>-</mml:mo><mml:mover accent="true"><mml:mrow><mml:mi mathvariant="normal">∇</mml:mi><mml:mo>×</mml:mo><mml:mi mathvariant="bold-italic">ω</mml:mi></mml:mrow><mml:mo mathvariant="normal">̃</mml:mo></mml:mover><mml:mspace linebreak="nobreak" width="0.25em"/><mml:mo>,</mml:mo></mml:mrow></mml:math></disp-formula>
          where <inline-formula><mml:math id="M18" display="inline"><mml:mrow><mml:mover accent="true"><mml:mi mathvariant="bold-italic">u</mml:mi><mml:mo mathvariant="normal">̃</mml:mo></mml:mover><mml:mo>(</mml:mo><mml:msub><mml:mi>k</mml:mi><mml:mi>x</mml:mi></mml:msub><mml:mo>,</mml:mo><mml:mi>y</mml:mi><mml:mo>,</mml:mo><mml:mi>z</mml:mi><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> stands for the <inline-formula><mml:math id="M19" display="inline"><mml:mi>x</mml:mi></mml:math></inline-formula>-transformed field. For a
given <inline-formula><mml:math id="M20" display="inline"><mml:mrow><mml:msub><mml:mi>k</mml:mi><mml:mi>x</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> mode, this is a two-dimensional Helmholtz equation in an
unbounded <inline-formula><mml:math id="M21" display="inline"><mml:mrow><mml:mo>(</mml:mo><mml:mi>y</mml:mi><mml:mo>,</mml:mo><mml:mi>z</mml:mi><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula>-domain; it is solved through a convolution with the
corresponding Green's function in Fourier space through the domain-doubling
technique of <xref ref-type="bibr" rid="bib1.bibx17" id="text.10"/>; see <xref ref-type="bibr" rid="bib1.bibx5" id="text.11"/> for details.
The wave numbers <inline-formula><mml:math id="M22" display="inline"><mml:mrow><mml:msub><mml:mi>k</mml:mi><mml:mi>x</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> are here constrained to produce inflow–outflow
conditions or equivalently to only permit adequately phased sine or cosine
modes. The following conditions on the streamwise velocity are then imposed:
<inline-formula><mml:math id="M23" display="inline"><mml:mrow><mml:msub><mml:mi>u</mml:mi><mml:mi>x</mml:mi></mml:msub><mml:mo>(</mml:mo><mml:mn mathvariant="normal">0</mml:mn><mml:mo>,</mml:mo><mml:mi>y</mml:mi><mml:mo>,</mml:mo><mml:mi>z</mml:mi><mml:mo>)</mml:mo><mml:mo>=</mml:mo><mml:msub><mml:mi>U</mml:mi><mml:mi mathvariant="normal">∞</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> at the inflow and <inline-formula><mml:math id="M24" display="inline"><mml:mrow><mml:mstyle displaystyle="false"><mml:mfrac style="text"><mml:mrow><mml:mo>∂</mml:mo><mml:msub><mml:mi>u</mml:mi><mml:mi>x</mml:mi></mml:msub></mml:mrow><mml:mrow><mml:mo>∂</mml:mo><mml:mi>x</mml:mi></mml:mrow></mml:mfrac></mml:mstyle><mml:mo>(</mml:mo><mml:msub><mml:mi>L</mml:mi><mml:mi>x</mml:mi></mml:msub><mml:mo>,</mml:mo><mml:mi>y</mml:mi><mml:mo>,</mml:mo><mml:mi>z</mml:mi><mml:mo>)</mml:mo><mml:mo>=</mml:mo><mml:mn mathvariant="normal">0</mml:mn></mml:mrow></mml:math></inline-formula> at the outflow. These are completed with the conditions on the
transverse components: <inline-formula><mml:math id="M25" display="inline"><mml:mrow><mml:mstyle displaystyle="false"><mml:mfrac style="text"><mml:mrow><mml:mo>∂</mml:mo><mml:msub><mml:mi>u</mml:mi><mml:mi>y</mml:mi></mml:msub></mml:mrow><mml:mrow><mml:mo>∂</mml:mo><mml:mi>x</mml:mi></mml:mrow></mml:mfrac></mml:mstyle><mml:mo>(</mml:mo><mml:mn mathvariant="normal">0</mml:mn><mml:mo>,</mml:mo><mml:mi>y</mml:mi><mml:mo>,</mml:mo><mml:mi>z</mml:mi><mml:mo>)</mml:mo><mml:mo>=</mml:mo><mml:mstyle displaystyle="false"><mml:mfrac style="text"><mml:mrow><mml:mo>∂</mml:mo><mml:msub><mml:mi>u</mml:mi><mml:mi>z</mml:mi></mml:msub></mml:mrow><mml:mrow><mml:mo>∂</mml:mo><mml:mi>x</mml:mi></mml:mrow></mml:mfrac></mml:mstyle><mml:mo>(</mml:mo><mml:mn mathvariant="normal">0</mml:mn><mml:mo>,</mml:mo><mml:mi>y</mml:mi><mml:mo>,</mml:mo><mml:mi>z</mml:mi><mml:mo>)</mml:mo><mml:mo>=</mml:mo><mml:mn mathvariant="normal">0</mml:mn></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math id="M26" display="inline"><mml:mrow><mml:msub><mml:mi>u</mml:mi><mml:mi>y</mml:mi></mml:msub><mml:mo>(</mml:mo><mml:msub><mml:mi>L</mml:mi><mml:mi>x</mml:mi></mml:msub><mml:mo>,</mml:mo><mml:mi>y</mml:mi><mml:mo>,</mml:mo><mml:mi>z</mml:mi><mml:mo>)</mml:mo><mml:mo>=</mml:mo><mml:msub><mml:mi>u</mml:mi><mml:mi>z</mml:mi></mml:msub><mml:mo>(</mml:mo><mml:msub><mml:mi>L</mml:mi><mml:mi>x</mml:mi></mml:msub><mml:mo>,</mml:mo><mml:mi>y</mml:mi><mml:mo>,</mml:mo><mml:mi>z</mml:mi><mml:mo>)</mml:mo><mml:mo>=</mml:mo><mml:mn mathvariant="normal">0</mml:mn></mml:mrow></mml:math></inline-formula>.</p>
      <p>The SGS model is a simplified version of the variational multiscale (VM)
model <xref ref-type="bibr" rid="bib1.bibx18" id="paren.12"/>, known as the regularized version
(RVM) <xref ref-type="bibr" rid="bib1.bibx19" id="paren.13"/>. In that variant, the SGS model is designed as an
eddy viscosity model acting only on the small-scale field
            <disp-formula id="Ch1.E6" content-type="numbered"><mml:math id="M27" display="block"><mml:mrow><mml:msup><mml:mi mathvariant="bold">T</mml:mi><mml:mi>M</mml:mi></mml:msup><mml:mo>=</mml:mo><mml:msub><mml:mi mathvariant="italic">ν</mml:mi><mml:mi mathvariant="normal">SGS</mml:mi></mml:msub><mml:mfenced close=")" open="("><mml:mi mathvariant="normal">∇</mml:mi><mml:msup><mml:mi mathvariant="bold-italic">ω</mml:mi><mml:mi mathvariant="normal">s</mml:mi></mml:msup><mml:mo>+</mml:mo><mml:msup><mml:mi mathvariant="normal">∇</mml:mi><mml:mi>t</mml:mi></mml:msup><mml:msup><mml:mi mathvariant="bold-italic">ω</mml:mi><mml:mi mathvariant="normal">s</mml:mi></mml:msup></mml:mfenced><mml:mo>,</mml:mo></mml:mrow></mml:math></disp-formula>
          where <inline-formula><mml:math id="M28" display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="bold-italic">ω</mml:mi><mml:mi mathvariant="normal">s</mml:mi></mml:msup></mml:mrow></mml:math></inline-formula> represents the small-scale part of the
vorticity field obtained by high-pass filtering. The eddy viscosity is taken
as <inline-formula><mml:math id="M29" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">ν</mml:mi><mml:mi mathvariant="normal">SGS</mml:mi></mml:msub><mml:mo>=</mml:mo><mml:msubsup><mml:mi>C</mml:mi><mml:mi>r</mml:mi><mml:mrow><mml:mo>(</mml:mo><mml:mi>n</mml:mi><mml:mo>)</mml:mo></mml:mrow></mml:msubsup><mml:msup><mml:mi mathvariant="normal">Δ</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msup><mml:msup><mml:mfenced open="(" close=")"><mml:mn mathvariant="normal">2</mml:mn><mml:mi mathvariant="bold">S</mml:mi><mml:mo>:</mml:mo><mml:mi mathvariant="bold">S</mml:mi></mml:mfenced><mml:mrow><mml:mn mathvariant="normal">1</mml:mn><mml:mo>/</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>, where the strain rate <inline-formula><mml:math id="M30" display="inline"><mml:mi mathvariant="bold">S</mml:mi></mml:math></inline-formula> is evaluated using the
complete velocity field. We refer to <xref ref-type="bibr" rid="bib1.bibx8 bib1.bibx9 bib1.bibx10" id="text.14"/>
for implementation details and for the values of the coefficients <inline-formula><mml:math id="M31" display="inline"><mml:mrow><mml:msubsup><mml:mi>C</mml:mi><mml:mi>r</mml:mi><mml:mrow><mml:mo>(</mml:mo><mml:mi>n</mml:mi><mml:mo>)</mml:mo></mml:mrow></mml:msubsup></mml:mrow></mml:math></inline-formula>
when using filtering of the order <inline-formula><mml:math id="M32" display="inline"><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mi>n</mml:mi></mml:mrow></mml:math></inline-formula>.</p>
      <p>In order to carry out the computational steps above, information is made
available on the mesh, and recuperated from the mesh, by interpolating back
and forth between the particles and the grid using high-order interpolation
schemes. Fortunately, this hybridization does not affect the good
numerical accuracy (in terms of diffusion and dispersion errors) and the
stability properties of a particle method. The present method does indeed still
waive the typical Courant–Friedrichs–Lewy (CFL) constraint for the explicit time integration of
advection, <inline-formula><mml:math id="M33" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>t</mml:mi><mml:mo>&lt;</mml:mo><mml:msub><mml:mi>C</mml:mi><mml:mi>u</mml:mi></mml:msub><mml:mi>h</mml:mi><mml:mo>/</mml:mo><mml:mo>‖</mml:mo><mml:mi mathvariant="bold-italic">u</mml:mi><mml:msub><mml:mo>‖</mml:mo><mml:mtext>max</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula>, and instead involves
higher-order constraints <xref ref-type="bibr" rid="bib1.bibx22" id="paren.15"/>, e.g., <inline-formula><mml:math id="M34" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>t</mml:mi><mml:mo>&lt;</mml:mo><mml:msub><mml:mi>C</mml:mi><mml:mrow><mml:mi mathvariant="normal">∇</mml:mi><mml:mi>u</mml:mi></mml:mrow></mml:msub><mml:mo>/</mml:mo><mml:mo>‖</mml:mo><mml:mi mathvariant="normal">∇</mml:mi><mml:mi mathvariant="bold-italic">u</mml:mi><mml:msub><mml:mo>‖</mml:mo><mml:mtext>max</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula>; this essentially
corresponds to preventing particle trajectories from crossing each other. The
time integration scheme used in the present work is a low-storage third-order
Runge–Kutta <xref ref-type="bibr" rid="bib1.bibx39" id="paren.16"/>.</p>
      <p>This last discussion actually pertains to the issue of Lagrangian distortion
in particle methods. If left alone, particles can be seen to deplete regions
of the flow or cluster in regions. Several remedies have been proposed.
Dissipative terms can be added to the particle ordinary differential equations (ODEs) in order to limit the
particle deformations <xref ref-type="bibr" rid="bib1.bibx27" id="paren.17"/>; this comes at the price of
artificial bulk and shear viscosities. State-of-the-art particle methods,
such as the present one, rely on a procedure called
remeshing <xref ref-type="bibr" rid="bib1.bibx11 bib1.bibx21 bib1.bibx30 bib1.bibx40" id="paren.18"/>,
which consists of the periodic regularization of the particle set onto a
mesh. This procedure typically relies on high-order interpolation
formulas <xref ref-type="bibr" rid="bib1.bibx28 bib1.bibx38" id="paren.19"/> which involve well-controlled
levels of artificial viscosity. All the simulations of Sect. <xref ref-type="sec" rid="Ch1.S3"/>
have involved a remeshing operation every five time steps that uses the third-order accurate <inline-formula><mml:math id="M35" display="inline"><mml:mrow><mml:msubsup><mml:mi>M</mml:mi><mml:mn mathvariant="normal">4</mml:mn><mml:mo>′</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> scheme of <xref ref-type="bibr" rid="bib1.bibx28" id="text.20"/>; the same scheme is
used for the particle-to-mesh and mesh-to-particle interpolation operations.</p>
</sec>
<sec id="Ch1.S2.SS2">
  <title>Immersed lifting lines</title>
      <p>The generation of vorticity along the blades is accounted for through an
immersed lifting line approach <xref ref-type="bibr" rid="bib1.bibx7" id="paren.21"/>. The approach is very
much akin to a vortex lattice method and relies on the Kutta–Joukowski
theorem (see, e.g., <xref ref-type="bibr" rid="bib1.bibx32" id="altparen.22"/>) that relates the developed lift
<inline-formula><mml:math id="M36" display="inline"><mml:mi mathvariant="bold-italic">L</mml:mi></mml:math></inline-formula> to the relative flow <inline-formula><mml:math id="M37" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="bold-italic">V</mml:mi><mml:mtext>rel</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> and the circulation
bound around the local 2-D airfoil
            <disp-formula id="Ch1.E7" content-type="numbered"><mml:math id="M38" display="block"><mml:mrow><mml:mi mathvariant="bold-italic">L</mml:mi><mml:mo>=</mml:mo><mml:mi mathvariant="italic">ρ</mml:mi><mml:msub><mml:mi mathvariant="bold-italic">V</mml:mi><mml:mtext>rel</mml:mtext></mml:msub><mml:mo>×</mml:mo><mml:mi mathvariant="bold">Γ</mml:mi><mml:mspace linebreak="nobreak" width="0.25em"/><mml:mo>.</mml:mo></mml:mrow></mml:math></disp-formula>
          Lift can also be obtained from the relative flow, its angle of attack
<inline-formula><mml:math id="M39" display="inline"><mml:mi mathvariant="italic">α</mml:mi></mml:math></inline-formula> and the airfoil lift coefficient <inline-formula><mml:math id="M40" display="inline"><mml:mrow><mml:msub><mml:mi>C</mml:mi><mml:mi mathvariant="normal">l</mml:mi></mml:msub><mml:mo>(</mml:mo><mml:mi mathvariant="italic">α</mml:mi><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula>; equating
this aerodynamics-provided expression to Eq. (<xref ref-type="disp-formula" rid="Ch1.E7"/>) allows us to solve
for the instantaneous circulation <inline-formula><mml:math id="M41" display="inline"><mml:mi mathvariant="bold">Γ</mml:mi></mml:math></inline-formula> at a blade location. The
solenoidal property of vorticity then imposes that streamwise and spanwise
vorticities be shed from the lifting line in order to account for spanwise
and temporal variations of <inline-formula><mml:math id="M42" display="inline"><mml:mi mathvariant="bold">Γ</mml:mi></mml:math></inline-formula>, respectively. Over a time step,
the shed vorticity is constructed thanks to Lagrangian tracers released along
the blade. The vorticity bound to the blade and the newly generated vorticity
are discretized by means of particles immersed in the mesh and in the bulk-flow-representing particles; their treatment thus fits within the present
particle-mesh framework. Unlike the mesh-only Vorticity Transport
Model <xref ref-type="bibr" rid="bib1.bibx3" id="paren.23"/> or an actuator line technique <xref ref-type="bibr" rid="bib1.bibx36" id="paren.24"/>,
this treatment of vorticity sources is Lagrangian and well suited for the
large time steps enabled by the rest of the method. The aerodynamic behavior
of the lifting lines sections, i.e., <inline-formula><mml:math id="M43" display="inline"><mml:mrow><mml:msub><mml:mi>C</mml:mi><mml:mi mathvariant="normal">l</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math id="M44" display="inline"><mml:mi mathvariant="bold">Γ</mml:mi></mml:math></inline-formula>,
account for unsteady effects through a Leishman–Beddoes dynamic stall
model <xref ref-type="bibr" rid="bib1.bibx23" id="paren.25"/>. This semiempirical model shows a good trade-off
between simplicity and accuracy, provided that the model coefficients are
validated with relevant experimental data. In this work, we follow the
indications of <xref ref-type="bibr" rid="bib1.bibx12" id="text.26"/> and
<xref ref-type="bibr" rid="bib1.bibx33" id="text.27"/>, who present coefficients for various
airfoils validated in the particular case of a VAWT.</p>
      <p>The standard lifting line and the actuator line techniques are not able to
capture flow curvature effects. Indeed, if the flow relative to the blade is
curved, as is the case here for a blade in rotation through essentially
straight streamlines, the airfoil behaves as an airfoil with an additional
camber <xref ref-type="bibr" rid="bib1.bibx26 bib1.bibx1" id="paren.28"/>. We consider a blade with a chord
<inline-formula><mml:math id="M45" display="inline"><mml:mi>c</mml:mi></mml:math></inline-formula> tangentially positioned at a radius <inline-formula><mml:math id="M46" display="inline"><mml:mi>R</mml:mi></mml:math></inline-formula> for its quarter-chord position; this additional camber can be modeled in a straightforward manner by pitching
the blade inwards by an angle <inline-formula><mml:math id="M47" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">α</mml:mi><mml:mn mathvariant="normal">0</mml:mn></mml:msub><mml:mo>=</mml:mo><mml:mi>arctan⁡</mml:mi><mml:mfenced open="(" close=")"><mml:mo>(</mml:mo><mml:mn mathvariant="normal">1</mml:mn><mml:mo>-</mml:mo><mml:mi>cos⁡</mml:mi><mml:mo>(</mml:mo><mml:mi mathvariant="italic">β</mml:mi><mml:mo>/</mml:mo><mml:mn mathvariant="normal">2</mml:mn><mml:mo>)</mml:mo><mml:mo>)</mml:mo><mml:mo>/</mml:mo><mml:mi>sin⁡</mml:mi><mml:mo>(</mml:mo><mml:mi mathvariant="italic">β</mml:mi><mml:mo>/</mml:mo><mml:mn mathvariant="normal">2</mml:mn><mml:mo>)</mml:mo></mml:mfenced></mml:mrow></mml:math></inline-formula> where <inline-formula><mml:math id="M48" display="inline"><mml:mrow><mml:mi mathvariant="italic">β</mml:mi><mml:mo>=</mml:mo><mml:mi>arctan⁡</mml:mi><mml:mo>(</mml:mo><mml:mi>c</mml:mi><mml:mo>/</mml:mo><mml:mn mathvariant="normal">2</mml:mn><mml:mspace linebreak="nobreak" width="0.125em"/><mml:mi>R</mml:mi><mml:mo>)</mml:mo><mml:mo>+</mml:mo><mml:mi>arctan⁡</mml:mi><mml:mo>(</mml:mo><mml:mi>c</mml:mi><mml:mo>/</mml:mo><mml:mn mathvariant="normal">2</mml:mn><mml:mspace linebreak="nobreak" width="0.125em"/><mml:mi>R</mml:mi><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula>. In
the validation section below (Sect. 3.1), we verify the positive effect of
such a correction. Finally, we note that these methods (immersed lifting
line or actuator line) in their standard versions do not capture the internal
turbulent fluctuations of the structures actually shed.</p>
</sec>
</sec>
<sec id="Ch1.S3">
  <title>Results</title>
<sec id="Ch1.S3.SS1">
  <title>Validation</title>
      <p>We first present validation results against recent
work <xref ref-type="bibr" rid="bib1.bibx4" id="paren.29"/> for a low-solidity two-bladed H-shaped machine
with NACA0018 airfoils. The parameters for the Leishman–Beddoes dynamic stall
model are based on those for a NACA0015 in <xref ref-type="bibr" rid="bib1.bibx33" id="text.30"/>; they are
here tuned to fit the static behavior of the polar at the Reynolds number of
the experiment at the design point, <inline-formula><mml:math id="M49" display="inline"><mml:mrow><mml:mi>R</mml:mi><mml:mi>e</mml:mi><mml:mo>=</mml:mo><mml:msub><mml:mi>U</mml:mi><mml:mtext>rel</mml:mtext></mml:msub><mml:mi>c</mml:mi><mml:mo>/</mml:mo><mml:mi mathvariant="italic">ν</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">1.5</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn mathvariant="normal">10</mml:mn><mml:mn mathvariant="normal">5</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>.
Throughout this paper, we use the following axes convention: <inline-formula><mml:math id="M50" display="inline"><mml:mi>x</mml:mi></mml:math></inline-formula> is the
streamwise direction; <inline-formula><mml:math id="M51" display="inline"><mml:mi>y</mml:mi></mml:math></inline-formula> is cross-stream and orthogonal to the VAWT axis,
which <inline-formula><mml:math id="M52" display="inline"><mml:mi>z</mml:mi></mml:math></inline-formula> is parallel to. The origin for the blade angular position <inline-formula><mml:math id="M53" display="inline"><mml:mi mathvariant="italic">θ</mml:mi></mml:math></inline-formula>
is set to the position moving upwind. Figure <xref ref-type="fig" rid="Ch1.F1"/> presents the
profiles of the normal and tangential forces developed by a blade over a
revolution, nondimensionalized with respect to the profile chord <inline-formula><mml:math id="M54" display="inline"><mml:mi>c</mml:mi></mml:math></inline-formula> and the
dynamic pressure <inline-formula><mml:math id="M55" display="inline"><mml:mrow><mml:msub><mml:mi>q</mml:mi><mml:mn mathvariant="normal">0</mml:mn></mml:msub><mml:mo>=</mml:mo><mml:mn mathvariant="normal">1</mml:mn><mml:mo>/</mml:mo><mml:mn mathvariant="normal">2</mml:mn><mml:mspace linebreak="nobreak" width="0.125em"/><mml:mi mathvariant="italic">ρ</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msubsup><mml:mi>U</mml:mi><mml:mi mathvariant="normal">∞</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msubsup></mml:mrow></mml:math></inline-formula>.</p>

      <fig id="Ch1.F1" specific-use="star"><caption><p>Validation: evolution of the normal, <inline-formula><mml:math id="M56" display="inline"><mml:mrow><mml:msub><mml:mi>F</mml:mi><mml:mi mathvariant="normal">n</mml:mi></mml:msub><mml:mo>/</mml:mo><mml:mo>(</mml:mo><mml:mi>c</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msub><mml:mi>q</mml:mi><mml:mn mathvariant="normal">0</mml:mn></mml:msub><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula>, and
tangential, <inline-formula><mml:math id="M57" display="inline"><mml:mrow><mml:msub><mml:mi>F</mml:mi><mml:mi mathvariant="normal">t</mml:mi></mml:msub><mml:mo>/</mml:mo><mml:mo>(</mml:mo><mml:mi>c</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msub><mml:mi>q</mml:mi><mml:mn mathvariant="normal">0</mml:mn></mml:msub><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula>, force coefficients at mid-height vs. the blade
angular position <inline-formula><mml:math id="M58" display="inline"><mml:mi mathvariant="italic">θ</mml:mi></mml:math></inline-formula>; VPM simulation without curvature correction (blue
solid line) and with curvature correction (red solid line); experimental
results (<inline-formula><mml:math id="M59" display="inline"><mml:mi>o</mml:mi></mml:math></inline-formula>) with two techniques of force computation from particle image velocimetry (PIV) flow
fields <xref ref-type="bibr" rid="bib1.bibx4" id="paren.31"/>.</p></caption>
          <?xmltex \igopts{width=497.923228pt}?><graphic xlink:href="https://wes.copernicus.org/articles/2/317/2017/wes-2-317-2017-f01.pdf"/>

        </fig>

      <p>We report on VPM simulations with and without a curvature correction, which
here amounts to an inward pitch <inline-formula><mml:math id="M60" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">α</mml:mi><mml:mn mathvariant="normal">0</mml:mn></mml:msub><mml:mo>=</mml:mo><mml:msup><mml:mn mathvariant="normal">1.72</mml:mn><mml:mo>∘</mml:mo></mml:msup></mml:mrow></mml:math></inline-formula>. This correction
appears to bring a notable improvement of the results, particularly for the
moderate <inline-formula><mml:math id="M61" display="inline"><mml:mrow><mml:mtext>TSR</mml:mtext><mml:mo>=</mml:mo><mml:mi mathvariant="normal">Ω</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:mi>R</mml:mi><mml:mo>/</mml:mo><mml:msub><mml:mi>U</mml:mi><mml:mi mathvariant="normal">∞</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> : the explored angles of attack
are indeed smaller than at low TSR. While the results at an intermediate TSR
show good agreement (Fig. <xref ref-type="fig" rid="Ch1.F1"/>b), there is a clear departure
at the lower TSR (Fig. <xref ref-type="fig" rid="Ch1.F1"/>a). The experimental points suggest a stall happening later on the upstream stretch, at around <inline-formula><mml:math id="M62" display="inline"><mml:mrow><mml:msup><mml:mn mathvariant="normal">90</mml:mn><mml:mo>∘</mml:mo></mml:msup></mml:mrow></mml:math></inline-formula>, and more
abruptly than for the simulation; we report here that the authors of the
experiment advised circumspection when using the <inline-formula><mml:math id="M63" display="inline"><mml:mrow><mml:msub><mml:mi>F</mml:mi><mml:mi mathvariant="normal">n</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> data at
<inline-formula><mml:math id="M64" display="inline"><mml:mrow><mml:msup><mml:mn mathvariant="normal">135</mml:mn><mml:mo>∘</mml:mo></mml:msup></mml:mrow></mml:math></inline-formula> and clearly question the validity of their results for <inline-formula><mml:math id="M65" display="inline"><mml:mrow><mml:msub><mml:mi>F</mml:mi><mml:mi mathvariant="normal">t</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>
through the whole rotation. We, nevertheless, compare our simulations to all
their results in Fig. <xref ref-type="fig" rid="Ch1.F1"/>. This mismatch in the upstream
part has a direct influence on the predictions for the downstream stretch
(<inline-formula><mml:math id="M66" display="inline"><mml:mrow><mml:mi mathvariant="italic">θ</mml:mi><mml:mo>∈</mml:mo><mml:mo>[</mml:mo><mml:mn mathvariant="normal">210</mml:mn><mml:mo>,</mml:mo><mml:msup><mml:mn mathvariant="normal">270</mml:mn><mml:mo>∘</mml:mo></mml:msup><mml:mo>]</mml:mo></mml:mrow></mml:math></inline-formula>), as the stall-generated structures are
advected through the rotor; this may explain the marked differences observed
there. These results are satisfactory: they are indeed very sensitive to the
dynamic stall model, here probably still misadapted, and to some unquantified
uncertainties for the experimental facility (the TU Delft Open Jet Wind
Tunnel), namely its blockage and secondary flows in the test section.</p>
</sec>
<sec id="Ch1.S3.SS2">
  <title>Aerodynamics</title>
      <p>The remainder of this section focuses on a low-solidity H-VAWT studied
numerically by <xref ref-type="bibr" rid="bib1.bibx35" id="text.32"/> and <xref ref-type="bibr" rid="bib1.bibx33" id="text.33"/>. For the sake of
completeness, we here briefly recall its main parameters: an aspect ratio AR
<inline-formula><mml:math id="M67" display="inline"><mml:mrow><mml:mo>=</mml:mo><mml:mi>H</mml:mi><mml:mo>/</mml:mo><mml:mi>D</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">1.5</mml:mn></mml:mrow></mml:math></inline-formula>, a solidity <inline-formula><mml:math id="M68" display="inline"><mml:mrow><mml:mi mathvariant="italic">σ</mml:mi><mml:mo>=</mml:mo><mml:mi>n</mml:mi><mml:mi>c</mml:mi><mml:mo>/</mml:mo><mml:mi>D</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">0.1725</mml:mn></mml:mrow></mml:math></inline-formula>, and constant-chord
NACA0015 airfoils. Simulations were run without the curvature correction
investigated above (or equivalently, the simulated corresponds to a machine
with a blade pitched outwards by <inline-formula><mml:math id="M69" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">α</mml:mi><mml:mn mathvariant="normal">0</mml:mn></mml:msub><mml:mo>=</mml:mo><mml:msup><mml:mn mathvariant="normal">1.65</mml:mn><mml:mo>∘</mml:mo></mml:msup></mml:mrow></mml:math></inline-formula>).</p>
      <p>Figure <xref ref-type="fig" rid="Ch1.F2"/> shows this machine's power coefficient
(<inline-formula><mml:math id="M70" display="inline"><mml:mrow><mml:msub><mml:mi>C</mml:mi><mml:mi mathvariant="normal">p</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>) curve as a function of the TSR. In order to be
computationally affordable, the whole curve has been produced using an
intermediate resolution of <inline-formula><mml:math id="M71" display="inline"><mml:mrow><mml:mi>D</mml:mi><mml:mo>/</mml:mo><mml:mi>h</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">48</mml:mn></mml:mrow></mml:math></inline-formula> mesh points or particles per diameter; it
allows us to identify the optimum power operating point at <inline-formula><mml:math id="M72" display="inline"><mml:mrow><mml:mtext>TSR</mml:mtext><mml:mo>=</mml:mo><mml:mn mathvariant="normal">3.21</mml:mn></mml:mrow></mml:math></inline-formula>.
We investigate the behaviors of the aerodynamics and wake topology of this
baseline point, two off-design points (<inline-formula><mml:math id="M73" display="inline"><mml:mrow><mml:mi mathvariant="normal">TSR</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">2.14</mml:mn></mml:mrow></mml:math></inline-formula>, <inline-formula><mml:math id="M74" display="inline"><mml:mn mathvariant="normal">4.28</mml:mn></mml:math></inline-formula>), and
also different aspect ratios AR <inline-formula><mml:math id="M75" display="inline"><mml:mrow><mml:mo>=</mml:mo><mml:mn mathvariant="normal">1.0</mml:mn></mml:mrow></mml:math></inline-formula>, <inline-formula><mml:math id="M76" display="inline"><mml:mn mathvariant="normal">3.0</mml:mn></mml:math></inline-formula>. These configurations have
been simulated at a fine resolution <inline-formula><mml:math id="M77" display="inline"><mml:mrow><mml:mi>D</mml:mi><mml:mo>/</mml:mo><mml:mi>h</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">96</mml:mn></mml:mrow></mml:math></inline-formula> and in domains that extended up
to <inline-formula><mml:math id="M78" display="inline"><mml:mn mathvariant="normal">17</mml:mn></mml:math></inline-formula> diameters downstream of the rotor axis.</p>

      <fig id="Ch1.F2"><caption><p>H-type VAWT with AR <inline-formula><mml:math id="M79" display="inline"><mml:mrow><mml:mo>=</mml:mo><mml:mn mathvariant="normal">1.5</mml:mn></mml:mrow></mml:math></inline-formula>: power coefficient curve obtained at
intermediate resolution (<inline-formula><mml:math id="M80" display="inline"><mml:mrow><mml:mi>D</mml:mi><mml:mo>/</mml:mo><mml:mi>h</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">48</mml:mn></mml:mrow></mml:math></inline-formula>, solid line) and configurations
investigated at high resolution (<inline-formula><mml:math id="M81" display="inline"><mml:mrow><mml:mi>D</mml:mi><mml:mo>/</mml:mo><mml:mi>h</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">96</mml:mn></mml:mrow></mml:math></inline-formula>, circles).</p></caption>
          <?xmltex \igopts{width=241.848425pt}?><graphic xlink:href="https://wes.copernicus.org/articles/2/317/2017/wes-2-317-2017-f02.pdf"/>

        </fig>

      <?xmltex \floatpos{t}?><fig id="Ch1.F3" specific-use="star"><caption><p>H-type VAWT with AR <inline-formula><mml:math id="M82" display="inline"><mml:mrow><mml:mo>=</mml:mo><mml:mn mathvariant="normal">1.5</mml:mn></mml:mrow></mml:math></inline-formula>: evolution of the angle of attack and of
the normal, <inline-formula><mml:math id="M83" display="inline"><mml:mrow><mml:msub><mml:mi>F</mml:mi><mml:mi mathvariant="normal">n</mml:mi></mml:msub><mml:mo>/</mml:mo><mml:mo>(</mml:mo><mml:mi>c</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msub><mml:mi>q</mml:mi><mml:mn mathvariant="normal">0</mml:mn></mml:msub><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula>, and tangential, <inline-formula><mml:math id="M84" display="inline"><mml:mrow><mml:msub><mml:mi>F</mml:mi><mml:mi mathvariant="normal">t</mml:mi></mml:msub><mml:mo>/</mml:mo><mml:mo>(</mml:mo><mml:mi>c</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msub><mml:mi>q</mml:mi><mml:mn mathvariant="normal">0</mml:mn></mml:msub><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula>, force
coefficients at mid-span versus the blade angular position <inline-formula><mml:math id="M85" display="inline"><mml:mi mathvariant="italic">θ</mml:mi></mml:math></inline-formula> at
TSR <inline-formula><mml:math id="M86" display="inline"><mml:mrow><mml:mo>=</mml:mo><mml:mn mathvariant="normal">2.14</mml:mn></mml:mrow></mml:math></inline-formula> (dotted), <inline-formula><mml:math id="M87" display="inline"><mml:mn mathvariant="normal">3.21</mml:mn></mml:math></inline-formula> (solid), and <inline-formula><mml:math id="M88" display="inline"><mml:mn mathvariant="normal">4.28</mml:mn></mml:math></inline-formula> (dash-dotted); an
intermediate resolution (<inline-formula><mml:math id="M89" display="inline"><mml:mrow><mml:mi>D</mml:mi><mml:mo>/</mml:mo><mml:mi>h</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">48</mml:mn></mml:mrow></mml:math></inline-formula>) result for TSR <inline-formula><mml:math id="M90" display="inline"><mml:mrow><mml:mo>=</mml:mo><mml:mn mathvariant="normal">3.21</mml:mn></mml:mrow></mml:math></inline-formula> is also shown
(dash).</p></caption>
          <?xmltex \igopts{width=497.923228pt}?><graphic xlink:href="https://wes.copernicus.org/articles/2/317/2017/wes-2-317-2017-f03.pdf"/>

        </fig>

      <p>Figure <xref ref-type="fig" rid="Ch1.F3"/> presents the aerodynamic behavior at mid-height.
A lower-resolution result (<inline-formula><mml:math id="M91" display="inline"><mml:mrow><mml:mi>D</mml:mi><mml:mo>/</mml:mo><mml:mi>h</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">48</mml:mn></mml:mrow></mml:math></inline-formula>) is also shown for the baseline TSR and
demonstrates the converged state of our simulations. The aspect ratio only marginally affects the aerodynamics in the middle of the blades; its effects
will be discussed further below. A positive angle of attack corresponds to a
relative velocity coming from outside of the cylinder swept by the blades.
The angle of attack evolution during a revolution is not symmetrical for the
upstream and downstream legs because of the reduced velocity encountered
downstream. At the baseline TSR, it reaches a maximum just after the most
upstream position (<inline-formula><mml:math id="M92" display="inline"><mml:mrow><mml:msup><mml:mn mathvariant="normal">15</mml:mn><mml:mo>∘</mml:mo></mml:msup></mml:mrow></mml:math></inline-formula> around <inline-formula><mml:math id="M93" display="inline"><mml:mrow><mml:mi mathvariant="italic">θ</mml:mi><mml:mo>=</mml:mo><mml:msup><mml:mn mathvariant="normal">120</mml:mn><mml:mo>∘</mml:mo></mml:msup></mml:mrow></mml:math></inline-formula>) and the
downstream region is characterized by a plateau close to <inline-formula><mml:math id="M94" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:msup><mml:mn mathvariant="normal">7</mml:mn><mml:mo>∘</mml:mo></mml:msup></mml:mrow></mml:math></inline-formula>. Also of
note are the oscillations around <inline-formula><mml:math id="M95" display="inline"><mml:mn mathvariant="normal">210</mml:mn></mml:math></inline-formula> and <inline-formula><mml:math id="M96" display="inline"><mml:mrow><mml:msup><mml:mn mathvariant="normal">330</mml:mn><mml:mo>∘</mml:mo></mml:msup></mml:mrow></mml:math></inline-formula>, in the angle of
attack and the force coefficients. These are quite well-resolved and
physical: as discussed in Sect. <xref ref-type="sec" rid="Ch1.S3.SS3"/>, the vortex sheets shed
during the upstream leg do indeed impinge upon the blade in its downstream leg;
the velocity jumps associated with these sheets then cause variations in the
velocity relative to the blade.</p>
      <p>The off-design operating points exhibit the expected behaviors: a high TSR
will lead to smaller angles of attack and a decreased torque production, while
the low TSR causes a distinctive stall in the upstream region and also in the
downstream one. It is visible in the sharp transitions of the force
coefficients at <inline-formula><mml:math id="M97" display="inline"><mml:mn mathvariant="normal">90</mml:mn></mml:math></inline-formula> and <inline-formula><mml:math id="M98" display="inline"><mml:mrow><mml:msup><mml:mn mathvariant="normal">270</mml:mn><mml:mo>∘</mml:mo></mml:msup></mml:mrow></mml:math></inline-formula>. The angle of attack (AoA) exhibits different
behaviors but is consistent with the physics. In the upstream region, the flow is
dominated by the blockage effect: as the loading decreases because of stall,
the AoA increases even faster; downstream, the blade initially sees a flow
less impacted by the stalled upstream part but then encounters the wake of
the unstalled part (<inline-formula><mml:math id="M99" display="inline"><mml:mrow><mml:mi mathvariant="italic">θ</mml:mi><mml:mo>∈</mml:mo><mml:mo>[</mml:mo><mml:mn mathvariant="normal">0</mml:mn><mml:mo>,</mml:mo><mml:msup><mml:mn mathvariant="normal">90</mml:mn><mml:mo>∘</mml:mo></mml:msup><mml:mo>]</mml:mo></mml:mrow></mml:math></inline-formula>) and drops rapidly (<inline-formula><mml:math id="M100" display="inline"><mml:mrow><mml:mi mathvariant="italic">θ</mml:mi><mml:mo>=</mml:mo><mml:msup><mml:mn mathvariant="normal">270</mml:mn><mml:mo>∘</mml:mo></mml:msup></mml:mrow></mml:math></inline-formula>). Finally, we summarize the effects of TSR, AR, and simulation
resolution on the estimation of global performance figures in
Table <xref ref-type="table" rid="Ch1.T1"/>. As expected, the power, thrust, and side force
coefficients are quite sensitive to the TSR. The machine aspect ratio,
however, does not seem to have a major impact on them: going from AR <inline-formula><mml:math id="M101" display="inline"><mml:mrow><mml:mo>=</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:math></inline-formula> to
<inline-formula><mml:math id="M102" display="inline"><mml:mn mathvariant="normal">3</mml:mn></mml:math></inline-formula> only improves the <inline-formula><mml:math id="M103" display="inline"><mml:mrow><mml:msub><mml:mi>C</mml:mi><mml:mi mathvariant="normal">p</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> by less than <inline-formula><mml:math id="M104" display="inline"><mml:mn mathvariant="normal">2</mml:mn></mml:math></inline-formula> %.</p>

<?xmltex \floatpos{t}?><table-wrap id="Ch1.T1"><caption><p>H-VAWT global performance: effects of aspect ratio, TSR, and spatial
resolution.</p></caption><oasis:table frame="topbot"><?xmltex \begin{scaleboxenv}{.87}[.87]?><oasis:tgroup cols="9">
     <oasis:colspec colnum="1" colname="col1" align="left"/>
     <oasis:colspec colnum="2" colname="col2" align="left"/>
     <oasis:colspec colnum="3" colname="col3" align="left"/>
     <oasis:colspec colnum="4" colname="col4" align="right"/>
     <oasis:colspec colnum="5" colname="col5" align="right" colsep="1"/>
     <oasis:colspec colnum="6" colname="col6" align="right"/>
     <oasis:colspec colnum="7" colname="col7" align="right" colsep="1"/>
     <oasis:colspec colnum="8" colname="col8" align="right"/>
     <oasis:colspec colnum="9" colname="col9" align="right"/>
     <oasis:thead>
       <oasis:row>  
         <oasis:entry colname="col1">AR</oasis:entry>  
         <oasis:entry namest="col2" nameend="col3" align="center" colsep="1">TSR </oasis:entry>  
         <oasis:entry rowsep="1" namest="col4" nameend="col5" align="center" colsep="1"><inline-formula><mml:math id="M105" display="inline"><mml:mrow><mml:msub><mml:mi>C</mml:mi><mml:mi mathvariant="normal">p</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry rowsep="1" namest="col6" nameend="col7" align="center" colsep="1"><inline-formula><mml:math id="M106" display="inline"><mml:mrow><mml:msub><mml:mi>C</mml:mi><mml:mi>x</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry rowsep="1" namest="col8" nameend="col9" align="center"><inline-formula><mml:math id="M107" display="inline"><mml:mrow><mml:msub><mml:mi>C</mml:mi><mml:mi>y</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">  
         <oasis:entry colname="col1"/>  
         <oasis:entry namest="col2" nameend="col3" align="center" colsep="1"><inline-formula><mml:math id="M108" display="inline"><mml:mrow><mml:mi>D</mml:mi><mml:mo>/</mml:mo><mml:mi>h</mml:mi></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col4">48</oasis:entry>  
         <oasis:entry colname="col5">96</oasis:entry>  
         <oasis:entry colname="col6">48</oasis:entry>  
         <oasis:entry colname="col7">96</oasis:entry>  
         <oasis:entry colname="col8">48</oasis:entry>  
         <oasis:entry colname="col9">96</oasis:entry>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row>  
         <oasis:entry colname="col1"><inline-formula><mml:math id="M109" display="inline"><mml:mn mathvariant="normal">1.0</mml:mn></mml:math></inline-formula></oasis:entry>  
         <oasis:entry namest="col2" nameend="col3" colsep="1"><inline-formula><mml:math id="M110" display="inline"><mml:mn mathvariant="normal">3.21</mml:mn></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col4"/>  
         <oasis:entry colname="col5"><inline-formula><mml:math id="M111" display="inline"><mml:mn mathvariant="normal">0.338</mml:mn></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col6"/>  
         <oasis:entry colname="col7"><inline-formula><mml:math id="M112" display="inline"><mml:mn mathvariant="normal">0.844</mml:mn></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col8"/>  
         <oasis:entry colname="col9"><inline-formula><mml:math id="M113" display="inline"><mml:mn mathvariant="normal">0.0344</mml:mn></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1"><inline-formula><mml:math id="M114" display="inline"><mml:mn mathvariant="normal">1.5</mml:mn></mml:math></inline-formula></oasis:entry>  
         <oasis:entry namest="col2" nameend="col3" colsep="1"><inline-formula><mml:math id="M115" display="inline"><mml:mn mathvariant="normal">2.14</mml:mn></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col4"><inline-formula><mml:math id="M116" display="inline"><mml:mn mathvariant="normal">0.184</mml:mn></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col5"><inline-formula><mml:math id="M117" display="inline"><mml:mn mathvariant="normal">0.182</mml:mn></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col6"><inline-formula><mml:math id="M118" display="inline"><mml:mn mathvariant="normal">0.556</mml:mn></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col7"><inline-formula><mml:math id="M119" display="inline"><mml:mn mathvariant="normal">0.557</mml:mn></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col8"><inline-formula><mml:math id="M120" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">0.0518</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col9"><inline-formula><mml:math id="M121" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">0.0376</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1"><inline-formula><mml:math id="M122" display="inline"><mml:mn mathvariant="normal">1.5</mml:mn></mml:math></inline-formula></oasis:entry>  
         <oasis:entry namest="col2" nameend="col3" colsep="1"><inline-formula><mml:math id="M123" display="inline"><mml:mn mathvariant="normal">3.21</mml:mn></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col4"><inline-formula><mml:math id="M124" display="inline"><mml:mn mathvariant="normal">0.353</mml:mn></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col5"><inline-formula><mml:math id="M125" display="inline"><mml:mn mathvariant="normal">0.339</mml:mn></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col6"><inline-formula><mml:math id="M126" display="inline"><mml:mn mathvariant="normal">0.863</mml:mn></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col7"><inline-formula><mml:math id="M127" display="inline"><mml:mn mathvariant="normal">0.845</mml:mn></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col8"><inline-formula><mml:math id="M128" display="inline"><mml:mn mathvariant="normal">0.0193</mml:mn></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col9"><inline-formula><mml:math id="M129" display="inline"><mml:mn mathvariant="normal">0.0435</mml:mn></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1"><inline-formula><mml:math id="M130" display="inline"><mml:mn mathvariant="normal">1.5</mml:mn></mml:math></inline-formula></oasis:entry>  
         <oasis:entry namest="col2" nameend="col3" colsep="1"><inline-formula><mml:math id="M131" display="inline"><mml:mn mathvariant="normal">4.28</mml:mn></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col4"><inline-formula><mml:math id="M132" display="inline"><mml:mn mathvariant="normal">0.267</mml:mn></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col5"><inline-formula><mml:math id="M133" display="inline"><mml:mn mathvariant="normal">0.250</mml:mn></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col6"><inline-formula><mml:math id="M134" display="inline"><mml:mn mathvariant="normal">0.910</mml:mn></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col7"><inline-formula><mml:math id="M135" display="inline"><mml:mn mathvariant="normal">0.887</mml:mn></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col8"><inline-formula><mml:math id="M136" display="inline"><mml:mn mathvariant="normal">0.0390</mml:mn></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col9"><inline-formula><mml:math id="M137" display="inline"><mml:mn mathvariant="normal">0.0683</mml:mn></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1"><inline-formula><mml:math id="M138" display="inline"><mml:mn mathvariant="normal">3.0</mml:mn></mml:math></inline-formula></oasis:entry>  
         <oasis:entry namest="col2" nameend="col3" colsep="1"><inline-formula><mml:math id="M139" display="inline"><mml:mn mathvariant="normal">3.21</mml:mn></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col4"/>  
         <oasis:entry colname="col5"><inline-formula><mml:math id="M140" display="inline"><mml:mn mathvariant="normal">0.344</mml:mn></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col6"/>  
         <oasis:entry colname="col7"><inline-formula><mml:math id="M141" display="inline"><mml:mn mathvariant="normal">0.852</mml:mn></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col8"/>  
         <oasis:entry colname="col9"><inline-formula><mml:math id="M142" display="inline"><mml:mn mathvariant="normal">0.0616</mml:mn></mml:math></inline-formula></oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup><?xmltex \end{scaleboxenv}?></oasis:table></table-wrap>

<?xmltex \hack{\newpage}?>
</sec>
<sec id="Ch1.S3.SS3">
  <title>Wakes</title>
<sec id="Ch1.S3.SS3.SSS1">
  <title>Vortex dynamics</title>

      <?xmltex \floatpos{t}?><fig id="Ch1.F4"><caption><p>H-type VAWT with AR <inline-formula><mml:math id="M143" display="inline"><mml:mrow><mml:mo>=</mml:mo><mml:mn mathvariant="normal">1.5</mml:mn></mml:mrow></mml:math></inline-formula>: volume rendering of the vorticity
magnitude <inline-formula><mml:math id="M144" display="inline"><mml:mrow><mml:mo>‖</mml:mo><mml:mi mathvariant="bold-italic">ω</mml:mi><mml:mo>‖</mml:mo></mml:mrow></mml:math></inline-formula>; the lifting lines are also shown as 3-D
blades.</p></caption>
            <?xmltex \igopts{width=236.157874pt}?><graphic xlink:href="https://wes.copernicus.org/articles/2/317/2017/wes-2-317-2017-f04.pdf"/>

          </fig>

      <p>The instantaneous wakes of the AR <inline-formula><mml:math id="M145" display="inline"><mml:mrow><mml:mo>=</mml:mo><mml:mn mathvariant="normal">1.5</mml:mn></mml:mrow></mml:math></inline-formula> machine at the three considered
TSRs are visualized through volume rendering of the vorticity magnitude in
Fig. <xref ref-type="fig" rid="Ch1.F4"/>. They allow several insights into the complex
vortical structure of the wake, which is significantly different from that of
a HAWT. We first consider the design TSR (Fig. <xref ref-type="fig" rid="Ch1.F4"/>b). The
vorticity shed in the wake consists of (i) the blade tip vortices, which
constitute the top and bottom sides of the wake, and (ii) the vortex sheets,
shed due to the time variation of the circulation of the blades, which form
the lateral sides. The tip vortices are the strongest in the vicinity of the
upstream- and downstream-most positions of the blades (around <inline-formula><mml:math id="M146" display="inline"><mml:mrow><mml:mi mathvariant="italic">θ</mml:mi><mml:mo>=</mml:mo><mml:msup><mml:mn mathvariant="normal">90</mml:mn><mml:mo>∘</mml:mo></mml:msup></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math id="M147" display="inline"><mml:mrow><mml:msup><mml:mn mathvariant="normal">270</mml:mn><mml:mo>∘</mml:mo></mml:msup></mml:mrow></mml:math></inline-formula>) where the blades operate at their maximum angle
of attack. There, depending on the appearance of stall, or delayed stall
effects, the blade will achieve its maximum circulation and then lose it either
abruptly or progressively, depending on whether the blade is stalled or not.
At the design TSR, the blade exploits the delayed stall to the greatest extent: its
circulation keeps increasing, well past <inline-formula><mml:math id="M148" display="inline"><mml:mrow><mml:mi mathvariant="italic">θ</mml:mi><mml:mo>=</mml:mo><mml:msup><mml:mn mathvariant="normal">90</mml:mn><mml:mo>∘</mml:mo></mml:msup></mml:mrow></mml:math></inline-formula>, and then smoothly
decreases. This is explained by two phenomena: (1) the airfoil experiences
the highest delay in the circulation development (beneficial in this case as
it widens the extent of torque production by the blade); (2) the leading-edge
vortex does not introduce a sharp drop in circulation yet (which clearly
happens at lower TSR, see Fig. <xref ref-type="fig" rid="Ch1.F3"/>b). The
<inline-formula><mml:math id="M149" display="inline"><mml:mrow><mml:mi mathvariant="normal">d</mml:mi><mml:mi mathvariant="normal">Γ</mml:mi><mml:mo>/</mml:mo><mml:mi mathvariant="normal">d</mml:mi><mml:mi>t</mml:mi></mml:mrow></mml:math></inline-formula> vorticity shedding is maximal when the blades
are close to their lateral positions <inline-formula><mml:math id="M150" display="inline"><mml:mrow><mml:mi mathvariant="italic">θ</mml:mi><mml:mo>=</mml:mo><mml:msup><mml:mn mathvariant="normal">0</mml:mn><mml:mo>∘</mml:mo></mml:msup></mml:mrow></mml:math></inline-formula> (upwind leg) and
<inline-formula><mml:math id="M151" display="inline"><mml:mrow><mml:msup><mml:mn mathvariant="normal">180</mml:mn><mml:mo>∘</mml:mo></mml:msup></mml:mrow></mml:math></inline-formula> (downwind leg). The corners of the wake, i.e., the intersections
of the two types of vortical structures described above, give rise to the
fastest-growing vortical instabilities, which quickly propagate and cause the
pairing of vortices of unequal circulations. Indeed, the unsteady
aerodynamics have produced vortices with a varying circulation and the shed
vortices will interact with a different section of a preceding/succeeding
vortex. In this kind of event, the stronger vortex distorts the weaker one,
leading to intense stretching, enstrophy production, and the propagation of
disturbances along the vortex cores, therefore bringing an overwhelming
contribution to the transition to turbulence. This mechanism, most visible
in Fig. <xref ref-type="fig" rid="Ch1.F4"/>a and isolated in
Fig. <xref ref-type="fig" rid="Ch1.F5"/>, is well known in vortex dynamics and
has already been identified on aircraft
wakes <xref ref-type="bibr" rid="bib1.bibx2 bib1.bibx24" id="paren.34"/>. As a direct consequence, the
turbulent regions of the wake grow from the corners and the wake only reaches
a fully turbulent state once these regions have merged: the distance to reach
this state will be governed directly by the aspect ratio of the machine.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F5"><caption><p>H-type VAWT with AR <inline-formula><mml:math id="M152" display="inline"><mml:mrow><mml:mo>=</mml:mo><mml:mn mathvariant="normal">1.5</mml:mn></mml:mrow></mml:math></inline-formula>: volume rendering of the vorticity
magnitude <inline-formula><mml:math id="M153" display="inline"><mml:mrow><mml:mo>‖</mml:mo><mml:mi mathvariant="bold-italic">ω</mml:mi><mml:mo>‖</mml:mo></mml:mrow></mml:math></inline-formula>; vortex reconnections are visible on the side of
the wake, here illustrated in the area behind the bottom left corner of the
VAWT, at successive times. The turbine is on the right, and the velocity is
directed to the left.</p></caption>
            <?xmltex \igopts{width=236.157874pt}?><graphic xlink:href="https://wes.copernicus.org/articles/2/317/2017/wes-2-317-2017-f05.pdf"/>

          </fig>

      <p>The VAWT wake decay is of course also governed by the TSR in a fashion very
similar to that of the HAWT: a high TSR (Fig. <xref ref-type="fig" rid="Ch1.F4"/>c)
induces narrower vortex separations, which directly condition the growth rate
of the instabilities and the time to the reconnection events. This directly,
and very geometrically, translates into an increasing opening angle for the
envelopes of the corner vortical structures, going from
Fig. <xref ref-type="fig" rid="Ch1.F4"/>a to c. Decreasing the
TSR below the design point actually affects the wake even more dramatically.
The stall event on the upstream part of the revolution weakens the upstream
wake contribution (between <inline-formula><mml:math id="M154" display="inline"><mml:mrow><mml:mi mathvariant="italic">θ</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">90</mml:mn></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math id="M155" display="inline"><mml:mrow><mml:msup><mml:mn mathvariant="normal">180</mml:mn><mml:mo>∘</mml:mo></mml:msup></mml:mrow></mml:math></inline-formula>), generating a
stopping vortex that will be advected through the rotor
(Fig. <xref ref-type="fig" rid="Ch1.F4"/>a). One can thus expect a two-lobed wake.
Conversely, higher TSRs exhibit weaker vortical structures being advected
through the rotor. As discussed in Sect. <xref ref-type="sec" rid="Ch1.S3.SS2"/>, the
<inline-formula><mml:math id="M156" display="inline"><mml:mrow><mml:mi mathvariant="normal">d</mml:mi><mml:mi mathvariant="normal">Γ</mml:mi><mml:mo>/</mml:mo><mml:mi mathvariant="normal">d</mml:mi><mml:mi>t</mml:mi></mml:mrow></mml:math></inline-formula> sheets shed on the upstream leg will cross the
rotor and impact the blade aerodynamics on the downstream leg, with an
extreme case being the stall event discussed above.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F6" specific-use="star"><caption><p>Effect of aspect ratio at <inline-formula><mml:math id="M157" display="inline"><mml:mrow><mml:mtext>TSR</mml:mtext><mml:mo>=</mml:mo><mml:mn mathvariant="normal">3.21</mml:mn></mml:mrow></mml:math></inline-formula>: contours of the
instantaneous cross-stream vorticity component <inline-formula><mml:math id="M158" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">ω</mml:mi><mml:mi>y</mml:mi></mml:msub><mml:mi>D</mml:mi><mml:mo>/</mml:mo><mml:msub><mml:mi>U</mml:mi><mml:mi mathvariant="normal">∞</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>.</p></caption>
            <?xmltex \igopts{width=341.433071pt}?><graphic xlink:href="https://wes.copernicus.org/articles/2/317/2017/wes-2-317-2017-f06.pdf"/>

          </fig>

      <p>The behaviors of the upstream tip vortices within the rotor are more complex
to apprehend, as they are affected by several factors: the intrinsic roll-up
dynamics of a vortex sheet (with a time-varying strength) and the velocities
induced by the surrounding vortical structures, including the bound vortices
on the blades. To some degree, the latter can be crudely linked to the
overall rotor loading (the <inline-formula><mml:math id="M159" display="inline"><mml:mrow><mml:msub><mml:mi>C</mml:mi><mml:mi>x</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> values of Table <xref ref-type="table" rid="Ch1.T1"/>). For a
highly loaded rotor (<inline-formula><mml:math id="M160" display="inline"><mml:mrow><mml:mtext>TSR</mml:mtext><mml:mo>=</mml:mo><mml:mn mathvariant="normal">3.21</mml:mn></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math id="M161" display="inline"><mml:mn mathvariant="normal">4.28</mml:mn></mml:math></inline-formula>), the generated blockage
effects will push the vortices shed upstream vertically and away from the
downstream blade tips. One only sees the upstream tip vortices impinging upon
the downstream blades at a low rotor loading, as is the case for
<inline-formula><mml:math id="M162" display="inline"><mml:mrow><mml:mtext>TSR</mml:mtext><mml:mo>=</mml:mo><mml:mn mathvariant="normal">2.14</mml:mn></mml:mrow></mml:math></inline-formula>. This observation does not agree with the results of
Scheurich and Brown <xref ref-type="bibr" rid="bib1.bibx34" id="paren.35"/>, which showed upstream vortices
colliding with the blades at high TSRs. A possible explanation might lie in the
relatively short domain and the direct use of the unbounded Biot–Savart law
in their work. One needs to add additional terms to enforce an outflow
condition for this otherwise clipped vorticity field; the present study does
precisely that by enforcing a normal outflow velocity (<inline-formula><mml:math id="M163" display="inline"><mml:mrow><mml:mo>∂</mml:mo><mml:mi>u</mml:mi><mml:mo>/</mml:mo><mml:mo>∂</mml:mo><mml:mi>x</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">0</mml:mn></mml:mrow></mml:math></inline-formula>, <inline-formula><mml:math id="M164" display="inline"><mml:mrow><mml:mi>v</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">0</mml:mn></mml:mrow></mml:math></inline-formula>, <inline-formula><mml:math id="M165" display="inline"><mml:mrow><mml:mi>w</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">0</mml:mn></mml:mrow></mml:math></inline-formula>) through its Fourier-based solver <xref ref-type="bibr" rid="bib1.bibx5" id="paren.36"/>.
Other explanations could also be found in a mismatch in the achieved loading
by the VAWT and the use of a curvature correction; these effects should be
further investigated.</p>
      <p>Blockage is but one factor, however, and it is a global one. The discussion can be
refined as additional, and less immediate, effects are to be expected from
the machine geometry. The aspect ratio, as indicated by <inline-formula><mml:math id="M166" display="inline"><mml:mrow><mml:msub><mml:mi>C</mml:mi><mml:mi>x</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> in
Table <xref ref-type="table" rid="Ch1.T1"/>, has a small effect on the blockage and one can also
expect an influence on the 3-D topology of this blockage effect: a higher AR
thus leads to an increased clearance between the vortices and the blade, as
shown in Fig. <xref ref-type="fig" rid="Ch1.F6"/>. The number of blades also has a
strong influence; the two-bladed machine of Sect. <xref ref-type="sec" rid="Ch1.S3.SS1"/> (not
shown here; see also <xref ref-type="bibr" rid="bib1.bibx16" id="altparen.37"/>) exhibits such vortex–blade collisions,
in spite of its high loading <inline-formula><mml:math id="M167" display="inline"><mml:mrow><mml:msub><mml:mi>C</mml:mi><mml:mi>x</mml:mi></mml:msub><mml:mo>=</mml:mo><mml:mn mathvariant="normal">0.874</mml:mn></mml:mrow></mml:math></inline-formula>. Finally, beyond the rotor, the
instantaneous vorticity fields of Fig. <xref ref-type="fig" rid="Ch1.F6"/> also offer
some insights into the pairing phenomenon of the tip vortices, the generation
of a turbulent wake, and the recirculation region.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F7" specific-use="star"><caption><p>H-type VAWT with AR <inline-formula><mml:math id="M168" display="inline"><mml:mrow><mml:mo>=</mml:mo><mml:mn mathvariant="normal">1.5</mml:mn></mml:mrow></mml:math></inline-formula>: mean streamwise velocity
<inline-formula><mml:math id="M169" display="inline"><mml:mrow><mml:mover accent="true"><mml:mi>u</mml:mi><mml:mo mathvariant="normal">¯</mml:mo></mml:mover><mml:mo>/</mml:mo><mml:msub><mml:mi>U</mml:mi><mml:mi mathvariant="normal">∞</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> and resolved turbulent kinetic energy
<inline-formula><mml:math id="M170" display="inline"><mml:mrow><mml:mover accent="true"><mml:mi>k</mml:mi><mml:mo mathvariant="normal">¯</mml:mo></mml:mover><mml:mo>=</mml:mo><mml:mstyle displaystyle="false"><mml:mfrac style="text"><mml:mrow><mml:mover accent="true"><mml:mrow><mml:msup><mml:mi>u</mml:mi><mml:mo>′</mml:mo></mml:msup><mml:msup><mml:mi>u</mml:mi><mml:mo>′</mml:mo></mml:msup></mml:mrow><mml:mo mathvariant="normal">‾</mml:mo></mml:mover><mml:mo>+</mml:mo><mml:mover accent="true"><mml:mrow><mml:msup><mml:mi>v</mml:mi><mml:mo>′</mml:mo></mml:msup><mml:msup><mml:mi>v</mml:mi><mml:mo>′</mml:mo></mml:msup></mml:mrow><mml:mo mathvariant="normal">‾</mml:mo></mml:mover><mml:mo>+</mml:mo><mml:mover accent="true"><mml:mrow><mml:msup><mml:mi>w</mml:mi><mml:mo>′</mml:mo></mml:msup><mml:msup><mml:mi>w</mml:mi><mml:mo>′</mml:mo></mml:msup></mml:mrow><mml:mo mathvariant="normal">‾</mml:mo></mml:mover></mml:mrow><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:msubsup><mml:mi>U</mml:mi><mml:mi mathvariant="normal">∞</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msubsup></mml:mrow></mml:mfrac></mml:mstyle></mml:mrow></mml:math></inline-formula> in the <inline-formula><mml:math id="M171" display="inline"><mml:mrow><mml:mi>y</mml:mi><mml:mo>/</mml:mo><mml:mi>D</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">0</mml:mn></mml:mrow></mml:math></inline-formula> plane.</p></caption>
            <?xmltex \igopts{width=341.433071pt}?><graphic xlink:href="https://wes.copernicus.org/articles/2/317/2017/wes-2-317-2017-f07.pdf"/>

          </fig>

</sec>
<sec id="Ch1.S3.SS3.SSS2">
  <title>Average flow statistics</title>
      <p>The average behavior of these wakes is studied through the mean axial
velocity <inline-formula><mml:math id="M172" display="inline"><mml:mover accent="true"><mml:mi>u</mml:mi><mml:mo mathvariant="normal">¯</mml:mo></mml:mover></mml:math></inline-formula> and the turbulent kinetic energy <inline-formula><mml:math id="M173" display="inline"><mml:mover accent="true"><mml:mi>k</mml:mi><mml:mo mathvariant="normal">¯</mml:mo></mml:mover></mml:math></inline-formula>; these
statistics were collected over a period <inline-formula><mml:math id="M174" display="inline"><mml:mrow><mml:msub><mml:mi>T</mml:mi><mml:mtext>avg</mml:mtext></mml:msub><mml:mo>=</mml:mo><mml:mn mathvariant="normal">30</mml:mn><mml:mspace linebreak="nobreak" width="0.125em"/><mml:mi>D</mml:mi><mml:mo>/</mml:mo><mml:msub><mml:mi>U</mml:mi><mml:mi mathvariant="normal">∞</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>.
Figure <xref ref-type="fig" rid="Ch1.F7"/> shows a horizontal slice of these
statistics for the AR <inline-formula><mml:math id="M175" display="inline"><mml:mrow><mml:mo>=</mml:mo><mml:mn mathvariant="normal">1.5</mml:mn></mml:mrow></mml:math></inline-formula> machine. This averaged wake exhibits several
prominent features that reflect the phenomena identified in the discussion
above. In all the conditions, we observe the generation of turbulent kinetic energy (TKE) on the sides
of the wake and the associated smearing of the velocity deficit. This is
consistent with our discussion of the vortical instabilities in the corner
structures and the subsequent propagation of the turbulent regions. At low
TSR, the averaged velocity field exhibits the expected two-lobed
structure, with a stronger deficit on the side of the
rotor on which the blade is traveling upwind (<inline-formula><mml:math id="M176" display="inline"><mml:mrow><mml:mi mathvariant="italic">θ</mml:mi><mml:mo>∈</mml:mo><mml:mo>[</mml:mo><mml:mn mathvariant="normal">270</mml:mn><mml:mo>,</mml:mo><mml:msup><mml:mn mathvariant="normal">90</mml:mn><mml:mo>∘</mml:mo></mml:msup><mml:mo>]</mml:mo></mml:mrow></mml:math></inline-formula>). For the higher TSRs
(Fig. <xref ref-type="fig" rid="Ch1.F7"/>b and c), a backflow region lies inside the
wake at a position that varies with the TSR: it is centered at <inline-formula><mml:math id="M177" display="inline"><mml:mrow><mml:mi>x</mml:mi><mml:mo>/</mml:mo><mml:mi>D</mml:mi><mml:mo>≃</mml:mo><mml:mn mathvariant="normal">5.5</mml:mn></mml:mrow></mml:math></inline-formula> for TSR <inline-formula><mml:math id="M178" display="inline"><mml:mrow><mml:mo>=</mml:mo><mml:mn mathvariant="normal">3.21</mml:mn></mml:mrow></mml:math></inline-formula> and at <inline-formula><mml:math id="M179" display="inline"><mml:mrow><mml:mi>x</mml:mi><mml:mo>/</mml:mo><mml:mi>D</mml:mi><mml:mo>≃</mml:mo><mml:mn mathvariant="normal">4</mml:mn></mml:mrow></mml:math></inline-formula> for TSR <inline-formula><mml:math id="M180" display="inline"><mml:mrow><mml:mo>=</mml:mo><mml:mn mathvariant="normal">4.28</mml:mn></mml:mrow></mml:math></inline-formula>. The location of
this feature clearly coincides with the production of TKE and an accelerated
smearing of the wake velocity deficit; this too agrees with our vortex
dynamics discussion. The topology of the associated recirculation bubbles is
clearly three-dimensional and will not be discussed here.</p>
      <p>Finally, the averaged wakes exhibit a slight deviation in this midplane. As
expected, the behaviors of the three TSRs do correlate with the signs and
values of the side forces produced by the rotor (see <inline-formula><mml:math id="M181" display="inline"><mml:mrow><mml:msub><mml:mi>C</mml:mi><mml:mi>y</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> in
Table <xref ref-type="table" rid="Ch1.T1"/>). These side forces also appear in the average
behavior as observed in cross-flow slices
(Fig. <xref ref-type="fig" rid="Ch1.F8"/>). The deformation of the velocity
deficit clearly suggests the presence of mean streamwise vortices along the
corners of the wake (Fig. <xref ref-type="fig" rid="Ch1.F8"/>a and b), a clear
departure from a HAWT wake with no side slip angle.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F8" specific-use="star"><caption><p>H-type VAWT with AR <inline-formula><mml:math id="M182" display="inline"><mml:mrow><mml:mo>=</mml:mo><mml:mn mathvariant="normal">1.5</mml:mn></mml:mrow></mml:math></inline-formula>: mean streamwise velocity
<inline-formula><mml:math id="M183" display="inline"><mml:mrow><mml:mover accent="true"><mml:mi>u</mml:mi><mml:mo mathvariant="normal">¯</mml:mo></mml:mover><mml:mo>/</mml:mo><mml:msub><mml:mi>U</mml:mi><mml:mi mathvariant="normal">∞</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> and turbulent kinetic energy <inline-formula><mml:math id="M184" display="inline"><mml:mover accent="true"><mml:mi>k</mml:mi><mml:mo mathvariant="normal">¯</mml:mo></mml:mover></mml:math></inline-formula> in cross-flow
slices.</p></caption>
            <?xmltex \igopts{width=426.791339pt}?><graphic xlink:href="https://wes.copernicus.org/articles/2/317/2017/wes-2-317-2017-f08.pdf"/>

          </fig>

      <p>The mean streamwise vorticity at three transverse slices is shown in
Fig. <xref ref-type="fig" rid="Ch1.F9"/>. Even though the statistics are converged,
the near-perfect periodicity of the flow leads to a pattern of positive and
negative patches, signatures of the advection of tip vortices shed on the
upstream and downstream parts of the rotation, respectively. The dominant
streamwise vorticity is thus difficult to identify in the near-wake, but large-scale structures can be identified further downstream, also thanks to the
induced deformation of the wake.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F9" specific-use="star"><caption><p>H-type VAWT with AR <inline-formula><mml:math id="M185" display="inline"><mml:mrow><mml:mo>=</mml:mo><mml:mn mathvariant="normal">1.5</mml:mn></mml:mrow></mml:math></inline-formula>: mean streamwise vorticity
<inline-formula><mml:math id="M186" display="inline"><mml:mrow><mml:mover accent="true"><mml:mi mathvariant="italic">ω</mml:mi><mml:mo mathvariant="normal">¯</mml:mo></mml:mover><mml:mo>/</mml:mo><mml:mo>(</mml:mo><mml:msub><mml:mi>U</mml:mi><mml:mi mathvariant="normal">∞</mml:mi></mml:msub><mml:mo>/</mml:mo><mml:mi>L</mml:mi><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula>.</p></caption>
            <?xmltex \igopts{width=455.244094pt}?><graphic xlink:href="https://wes.copernicus.org/articles/2/317/2017/wes-2-317-2017-f09.pdf"/>

          </fig>

      <?xmltex \floatpos{t}?><fig id="Ch1.F10" specific-use="star"><caption><p>H-type VAWT: dimensionless displacement and momentum surfaces as
functions of the streamwise coordinate.</p></caption>
            <?xmltex \igopts{width=426.791339pt}?><graphic xlink:href="https://wes.copernicus.org/articles/2/317/2017/wes-2-317-2017-f10.pdf"/>

          </fig>

</sec>
<sec id="Ch1.S3.SS3.SSS3">
  <title>Decay diagnostics</title>
      <p>We apply classical turbulent wake diagnostics to the characterization of the
wake decay. More specifically, we adapt integral quantities, such as the
displacement and momentum widths, to the present context; the wakes considered do indeed lack symmetry and exhibit strong secondary flow structures,
which makes the definition of a velocity deficit evolution based upon a
single characteristic point unsuitable. Thus, we define dimensionless
displacement and momentum surfaces, respectively, as

                  <disp-formula specific-use="eqnarray" content-type="numbered"><mml:math id="M187" display="block"><mml:mtable displaystyle="true"><mml:mlabeledtr id="Ch1.E8"><mml:mtd/><mml:mtd><mml:mrow><mml:mstyle displaystyle="true" class="stylechange"/><mml:msub><mml:mi>S</mml:mi><mml:mn mathvariant="normal">1</mml:mn></mml:msub><mml:mo>(</mml:mo><mml:mi>x</mml:mi><mml:mo>)</mml:mo></mml:mrow></mml:mtd><mml:mtd><mml:mrow><mml:mstyle displaystyle="true" class="stylechange"/><mml:mo>=</mml:mo></mml:mrow></mml:mtd><mml:mtd><mml:mrow><mml:mstyle displaystyle="true"><mml:mfrac style="display"><mml:mn mathvariant="normal">1</mml:mn><mml:mrow><mml:mi>H</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mi>D</mml:mi></mml:mrow></mml:mfrac></mml:mstyle><mml:munderover><mml:mo movablelimits="false">∫</mml:mo><mml:mrow><mml:mo>-</mml:mo><mml:mi mathvariant="normal">∞</mml:mi></mml:mrow><mml:mi mathvariant="normal">∞</mml:mi></mml:munderover><mml:munderover><mml:mo movablelimits="false">∫</mml:mo><mml:mrow><mml:mo>-</mml:mo><mml:mi mathvariant="normal">∞</mml:mi></mml:mrow><mml:mi mathvariant="normal">∞</mml:mi></mml:munderover><mml:mfenced open="(" close=")"><mml:mn mathvariant="normal">1</mml:mn><mml:mo>-</mml:mo><mml:mstyle displaystyle="true"><mml:mfrac style="display"><mml:mrow><mml:msub><mml:mi>u</mml:mi><mml:mi>x</mml:mi></mml:msub><mml:mo>(</mml:mo><mml:mi>x</mml:mi><mml:mo>,</mml:mo><mml:mi>y</mml:mi><mml:mo>,</mml:mo><mml:mi>z</mml:mi><mml:mo>)</mml:mo></mml:mrow><mml:mrow><mml:msub><mml:mi>U</mml:mi><mml:mi mathvariant="normal">∞</mml:mi></mml:msub></mml:mrow></mml:mfrac></mml:mstyle></mml:mfenced><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mi mathvariant="normal">d</mml:mi><mml:mi>y</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mi mathvariant="normal">d</mml:mi><mml:mi>z</mml:mi></mml:mrow></mml:mtd></mml:mlabeledtr><mml:mtr><mml:mtd><mml:mrow><mml:mstyle class="stylechange" displaystyle="true"/><mml:msub><mml:mi>S</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub><mml:mo>(</mml:mo><mml:mi>x</mml:mi><mml:mo>)</mml:mo></mml:mrow></mml:mtd><mml:mtd><mml:mrow><mml:mstyle class="stylechange" displaystyle="true"/><mml:mo>=</mml:mo></mml:mrow></mml:mtd><mml:mtd><mml:mrow><mml:mstyle displaystyle="true"><mml:mfrac style="display"><mml:mn mathvariant="normal">2</mml:mn><mml:mrow><mml:mi>H</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:mi>D</mml:mi></mml:mrow></mml:mfrac></mml:mstyle><mml:munderover><mml:mo movablelimits="false">∫</mml:mo><mml:mrow><mml:mo>-</mml:mo><mml:mi mathvariant="normal">∞</mml:mi></mml:mrow><mml:mi mathvariant="normal">∞</mml:mi></mml:munderover><mml:munderover><mml:mo movablelimits="false">∫</mml:mo><mml:mrow><mml:mo>-</mml:mo><mml:mi mathvariant="normal">∞</mml:mi></mml:mrow><mml:mi mathvariant="normal">∞</mml:mi></mml:munderover><mml:mfenced close=")" open="("><mml:mn mathvariant="normal">1</mml:mn><mml:mo>-</mml:mo><mml:mstyle displaystyle="true"><mml:mfrac style="display"><mml:mrow><mml:msub><mml:mi>u</mml:mi><mml:mi>x</mml:mi></mml:msub><mml:mo>(</mml:mo><mml:mi>x</mml:mi><mml:mo>,</mml:mo><mml:mi>y</mml:mi><mml:mo>,</mml:mo><mml:mi>z</mml:mi><mml:mo>)</mml:mo></mml:mrow><mml:mrow><mml:msub><mml:mi>U</mml:mi><mml:mi mathvariant="normal">∞</mml:mi></mml:msub></mml:mrow></mml:mfrac></mml:mstyle></mml:mfenced></mml:mrow></mml:mtd></mml:mtr><mml:mlabeledtr id="Ch1.E9"><mml:mtd/><mml:mtd><mml:mstyle class="stylechange" displaystyle="true"/></mml:mtd><mml:mtd><mml:mstyle displaystyle="true" class="stylechange"/></mml:mtd><mml:mtd><mml:mrow><mml:mstyle class="stylechange" displaystyle="true"/><mml:mfenced close=")" open="("><mml:mstyle displaystyle="true"><mml:mfrac style="display"><mml:mrow><mml:msub><mml:mi>u</mml:mi><mml:mi>x</mml:mi></mml:msub><mml:mo>(</mml:mo><mml:mi>x</mml:mi><mml:mo>,</mml:mo><mml:mi>y</mml:mi><mml:mo>,</mml:mo><mml:mi>z</mml:mi><mml:mo>)</mml:mo></mml:mrow><mml:mrow><mml:msub><mml:mi>U</mml:mi><mml:mi mathvariant="normal">∞</mml:mi></mml:msub></mml:mrow></mml:mfrac></mml:mstyle></mml:mfenced><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mi mathvariant="normal">d</mml:mi><mml:mi>y</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mi mathvariant="normal">d</mml:mi><mml:mi>z</mml:mi><mml:mspace linebreak="nobreak" width="0.25em"/><mml:mo>.</mml:mo></mml:mrow></mml:mtd></mml:mlabeledtr></mml:mtable></mml:math></disp-formula>

              These diagnostics correspond to integrals of flux quantities in cross-stream
sections located at a distance <inline-formula><mml:math id="M188" display="inline"><mml:mi>x</mml:mi></mml:math></inline-formula> downstream of the turbine axis; their
practical implementation approximates these integrals through quadrature over
finite square sections <inline-formula><mml:math id="M189" display="inline"><mml:mrow><mml:mo>[</mml:mo><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn><mml:mspace linebreak="nobreak" width="0.125em"/><mml:mi>D</mml:mi><mml:mo>,</mml:mo><mml:mn mathvariant="normal">3</mml:mn><mml:mspace linebreak="nobreak" width="0.125em"/><mml:mi>D</mml:mi><mml:mo>]</mml:mo><mml:mo>×</mml:mo><mml:mo>[</mml:mo><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn><mml:mspace linebreak="nobreak" width="0.125em"/><mml:mi>D</mml:mi><mml:mo>,</mml:mo><mml:mn mathvariant="normal">3</mml:mn><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mi>D</mml:mi><mml:mo>]</mml:mo></mml:mrow></mml:math></inline-formula>. Because our
Biot–Savart solver enforces transverse unbounded conditions exactly, it
allows a transverse mass flow due to blockage. As a consequence, <inline-formula><mml:math id="M190" display="inline"><mml:mrow><mml:msub><mml:mi>S</mml:mi><mml:mn mathvariant="normal">1</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula>, shown
in Fig. <xref ref-type="fig" rid="Ch1.F10"/>a, does not vanish (as it would have for a solver
with no through-flow boundaries); it quantifies the blockage effect caused by
the wake on the flow. As a reference, <inline-formula><mml:math id="M191" display="inline"><mml:mrow><mml:msub><mml:mi>S</mml:mi><mml:mn mathvariant="normal">1</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> should be compared with the
square of the displacement width (<inline-formula><mml:math id="M192" display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>) of an axisymmetric wake for
which classical similarity theory <xref ref-type="bibr" rid="bib1.bibx37" id="paren.38"/> predicts a behavior
<inline-formula><mml:math id="M193" display="inline"><mml:mrow><mml:msub><mml:mi>S</mml:mi><mml:mn mathvariant="normal">1</mml:mn></mml:msub><mml:mo>∼</mml:mo><mml:msup><mml:mi>x</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn><mml:mo>/</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> in the far wake. The asymmetry of the wake generator and
its proximity are such that we cannot observe the self-similarity region:
classical results for bluff bodies indicate a development distance of
<inline-formula><mml:math id="M194" display="inline"><mml:mrow><mml:mi>x</mml:mi><mml:mo>/</mml:mo><mml:mi>D</mml:mi><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">50</mml:mn></mml:mrow></mml:math></inline-formula> to obtain the theoretical far-wake
self-similarity <xref ref-type="bibr" rid="bib1.bibx31" id="paren.39"/>. The decay observed for <inline-formula><mml:math id="M195" display="inline"><mml:mrow><mml:mi>x</mml:mi><mml:mo>/</mml:mo><mml:mi>D</mml:mi><mml:mo>&gt;</mml:mo><mml:mn mathvariant="normal">5</mml:mn></mml:mrow></mml:math></inline-formula> for most
of the configurations does, however, suggest a power-law-like behavior. For
HAWTs, it has been observed that the decay deviates significantly from the
bluff body behavior in the presence of a turbulence inflow
<xref ref-type="bibr" rid="bib1.bibx25" id="paren.40"/>; similarly, it will be interesting to assess the
sensitivity of VAWT wake decay with respect to the turbulence intensity. Still,
the evolution of <inline-formula><mml:math id="M196" display="inline"><mml:mrow><mml:msub><mml:mi>S</mml:mi><mml:mn mathvariant="normal">1</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> does provide a signature of the recirculation region:
the magnitude and the extent of the overshoot <inline-formula><mml:math id="M197" display="inline"><mml:mrow><mml:msub><mml:mi>S</mml:mi><mml:mn mathvariant="normal">1</mml:mn></mml:msub><mml:mo>&gt;</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:math></inline-formula> correlate with the
location and the size of the recirculation bubble for the design and high
TSRs (Fig. <xref ref-type="fig" rid="Ch1.F7"/>b and c). This correspondence also
agrees with the effect of the aspect ratio: an increasing AR pushes both the
recirculation (indicated by the merging of vortical structures in the center
of the wake in Fig. <xref ref-type="fig" rid="Ch1.F6"/>) and the <inline-formula><mml:math id="M198" display="inline"><mml:mrow><mml:msub><mml:mi>S</mml:mi><mml:mn mathvariant="normal">1</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> overshoot
further downstream.</p>
      <p>The dimensionless momentum surface <inline-formula><mml:math id="M199" display="inline"><mml:mrow><mml:msub><mml:mi>S</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> is related to the deficit in the
flux of momentum in these planes. In the absence of secondary flows and
pressure gradients, it should in fact correspond to the thrust coefficient
<inline-formula><mml:math id="M200" display="inline"><mml:mrow><mml:msub><mml:mi>S</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub><mml:mo>≃</mml:mo><mml:msub><mml:mi>C</mml:mi><mml:mi>x</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> at large distances behind the VAWT when a factor <inline-formula><mml:math id="M201" display="inline"><mml:mn mathvariant="normal">2</mml:mn></mml:math></inline-formula> is used
in the definition of <inline-formula><mml:math id="M202" display="inline"><mml:mrow><mml:msub><mml:mi>S</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula>, as here in Eq. (<xref ref-type="disp-formula" rid="Ch1.E9"/>). This is confirmed
by our results of Fig. <xref ref-type="fig" rid="Ch1.F10"/>b: after a transition, the curves
tend towards the corresponding <inline-formula><mml:math id="M203" display="inline"><mml:mrow><mml:msub><mml:mi>C</mml:mi><mml:mi>x</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> values of Table <xref ref-type="table" rid="Ch1.T1"/>.</p>
      <p>Finally, the case <inline-formula><mml:math id="M204" display="inline"><mml:mrow><mml:mtext>TSR</mml:mtext><mml:mo>=</mml:mo><mml:mn mathvariant="normal">2.14</mml:mn></mml:mrow></mml:math></inline-formula> constitutes an outlier in the
discussions above. This is not unexpected: the instability growth is slower
than for the other cases and does not allow the transition to a well-mixed
fully turbulent wake within the computational domain.</p>
</sec>
</sec>
</sec>
<sec id="Ch1.S4" sec-type="conclusions">
  <title>Conclusions</title>
      <p>A vortex particle-mesh method, here briefly presented, has been applied to
large-scale and high-resolution large-eddy simulation (LES) of VAWT wakes. The method is capable of
tracking vortical structures over very long times and distances. This has led
to several insights into the vortex dynamics at work inside the wakes of
VAWTs. The mean flow topology has been extracted; unsteady flow aspects,
three-dimensional effects and classical wake diagnostics have also been
studied. The impact of several of these flow features for the deployment of
VAWTs in wind farms is considerable: the aspect ratio and the operating
conditions of the machine greatly affect the wake decay and even allow the
presence of a recirculation region. The present study merely constitutes a
preliminary study of VAWT wakes. Direct follow-up work will investigate the
3-D topology of the averaged wake and its unsteadiness. We will then also
consider the behavior of these machines and of their wakes in a turbulent
wind. Our methodology can also accommodate rotor dynamics models and
realistic controllers; this will bring definitive answers to the smoothness
of torque generation for H-type VAWTs and their performances in wind farms.</p>
</sec>

      
      </body>
    <back><notes notes-type="codeavailability">

      <p>The immersed lifting line VPM code and its Fourier-based
solver library are proprietary. The Parallel Particle-Mesh (PPM) library is
an open-source library <xref ref-type="bibr" rid="bib1.bibx13" id="paren.41"/>.</p>
  </notes><notes notes-type="dataavailability">

      <p>The data sets involved in this study consist of massive 3-D
and time-dependent data sets, the handling of which is not tractable on a
data registry. Readers interested in the raw simulation data or the
post-processed statistics are invited to contact the authors.</p>
  </notes><app-group>
        <supplementary-material position="anchor"><p><bold>The Supplement related to this article is available online at <inline-supplementary-material xlink:href="https://doi.org/10.5194/wes-2-317-2017-supplement" xlink:title="zip">https://doi.org/10.5194/wes-2-317-2017-supplement</inline-supplementary-material>.</bold></p></supplementary-material>
        </app-group><notes notes-type="authorcontribution">

      <p>PC and MD prepared and ran the simulations, and DGC
performed their post-processing. PC and MD developed the code; YM and DGC
developed the dynamic stall model inside the code. PC, MD, and GW contributed
to the analysis and the discussion of the results. PC prepared the paper with contributions from all co-authors.</p>
  </notes><notes notes-type="competinginterests">

      <p>The authors declare that they have no conflict of interest.</p>
  </notes><ack><title>Acknowledgements</title><p>The authors acknowledge the fruitful discussions with Thierry Maeder, Stefan
Kern, and Dominic von Terzi at the Aerodynamics and Acoustic Lab at GE Global
Research, Garching bei München. Matthieu Duponcheel was partially supported
by the ENGIE-funded research project Small Wind Turbines. The
development work benefited from the computational resources provided by the
supercomputing facilities of the Université catholique de Louvain
(CISM/UCL) and the Consortium des Équipements de Calcul Intensif (CÉCI)
en Fédération Wallonie Bruxelles (FWB) funded by the Fond de la Recherche
Scientifique de Belgique (F.R.S.-FNRS) under convention no. 2.5020.11. The
production simulations used computational resources made available on the
Tier-1 supercomputer of the FWB, infrastructure funded by the Walloon Region
under grant agreement no. 1117545.<?xmltex \hack{\newline}?><?xmltex \hack{\newline}?> Edited
by: Carlo L. Bottasso<?xmltex \hack{\newline}?> Reviewed by: two anonymous referees</p></ack><ref-list>
    <title>References</title>

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