Articles | Volume 4, issue 3
https://doi.org/10.5194/wes-4-515-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/wes-4-515-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
12 Sep 2019
Research article |
| 12 Sep 2019
| 12 Sep 2019
Significant multidecadal variability in German wind energy generation
Forschungszentrum Jülich, Institute for Energy and Climate Research, Systems Analysis and Technology Evaluation, 52428 Jülich, Germany
University of Cologne, Institute for Theoretical Physics, 50937 Cologne, Germany
Nour Eddine Omrani
University of Bergen, Geophysical Institute and Bjerknes
Centre for Climate Research, Bergen, Norway
Noel Keenlyside
University of Bergen, Geophysical Institute and Bjerknes
Centre for Climate Research, Bergen, Norway
Dirk Witthaut
Forschungszentrum Jülich, Institute for Energy and Climate Research, Systems Analysis and Technology Evaluation, 52428 Jülich, Germany
University of Cologne, Institute for Theoretical Physics, 50937 Cologne, Germany
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25 citations as recorded by crossref.
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- How Sampling and Averaging Historical Solar and Wind Data Can Distort Resource Adequacy C. Bothwell & B. Hobbs 10.1109/TSTE.2022.3156869
- Quantifying the sensitivity of european power systems to energy scenarios and climate change projections H. Bloomfield et al. 10.1016/j.renene.2020.09.125
- Unlocking the potential: A review of artificial intelligence applications in wind energy S. Dörterler et al. 10.1111/exsy.13716
- Identification of reliable locations for wind power generation through a global analysis of wind droughts E. Antonini et al. 10.1038/s43247-024-01260-7
- The climatological renewable energy deviation index (credi) L. Stoop et al. 10.1088/1748-9326/ad27b9
- Prospects for Using Hydrogen in Various Branches of the World Economy as One of the Directions of Its Decarbonization K. Yakubson 10.1134/S1070427222030016
- Long-term changes in offshore wind power density and wind turbine capacity factor in the Iberian Peninsula (1900–2010) S. Carreno-Madinabeitia et al. 10.1016/j.energy.2021.120364
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- Open database analysis of scaling and spatio-temporal properties of power grid frequencies L. Rydin Gorjão et al. 10.1038/s41467-020-19732-7
- Assessing low frequency variations in solar and wind power and their climatic teleconnections E. Bianchi et al. 10.1016/j.renene.2022.03.080
- Historical trends of floating wind turbine fatigue loads (Ireland 1920–2010) A. Ulazia et al. 10.1016/j.oceaneng.2024.117424
25 citations as recorded by crossref.
- Predicting precipitation on the decadal timescale: A prototype climate service for the hydropower sector E. Tsartsali et al. 10.1016/j.cliser.2023.100422
- Mitigating a century of European renewable variability with transmission and informed siting J. Wohland et al. 10.1088/1748-9326/abff89
- Wind speed stilling and its recovery due to internal climate variability J. Wohland et al. 10.5194/esd-12-1239-2021
- Greenhouse Gas Savings Potential under Repowering of Onshore Wind Turbines and Climate Change: A Case Study from Germany L. Sander et al. 10.3390/wind1010001
- Assessing Low Frequency Variations in Solar and Wind Power and Their Climatic Teleconnections E. Bianchi et al. 10.2139/ssrn.3918155
- Methods for assessing climate uncertainty in energy system models — A systematic literature review L. Plaga & V. Bertsch 10.1016/j.apenergy.2022.120384
- Probabilistic modeling of future electricity systems with high renewable energy penetration using machine learning M. Mayer et al. 10.1016/j.apenergy.2023.120801
- Site-dependent levelized cost assessment for fully renewable Power-to-Methane systems S. Morgenthaler et al. 10.1016/j.enconman.2020.113150
- Wind speed prediction using LSTM and ARIMA time series analysis models: A case study of Gelibolu A. Demirtop & O. Sevli 10.31127/tuje.1431629
- How Sampling and Averaging Historical Solar and Wind Data Can Distort Resource Adequacy C. Bothwell & B. Hobbs 10.1109/TSTE.2022.3156869
- Quantifying the sensitivity of european power systems to energy scenarios and climate change projections H. Bloomfield et al. 10.1016/j.renene.2020.09.125
- Unlocking the potential: A review of artificial intelligence applications in wind energy S. Dörterler et al. 10.1111/exsy.13716
- Identification of reliable locations for wind power generation through a global analysis of wind droughts E. Antonini et al. 10.1038/s43247-024-01260-7
- The climatological renewable energy deviation index (credi) L. Stoop et al. 10.1088/1748-9326/ad27b9
- Prospects for Using Hydrogen in Various Branches of the World Economy as One of the Directions of Its Decarbonization K. Yakubson 10.1134/S1070427222030016
- Long-term changes in offshore wind power density and wind turbine capacity factor in the Iberian Peninsula (1900–2010) S. Carreno-Madinabeitia et al. 10.1016/j.energy.2021.120364
- Overcoming the disconnect between energy system and climate modeling M. Craig et al. 10.1016/j.joule.2022.05.010
- Collective effects and synchronization of demand in real-time demand response C. Han et al. 10.1088/2632-072X/ac6477
- Extreme events in the European renewable power system: Validation of a modeling framework to estimate renewable electricity production and demand from meteorological data L. van der Most et al. 10.1016/j.rser.2022.112987
- Multi-decadal offshore wind power variability can be mitigated through optimized European allocation C. Neubacher et al. 10.5194/adgeo-54-205-2021
- A review of very short-term wind and solar power forecasting R. Tawn & J. Browell 10.1016/j.rser.2021.111758
- Collective nonlinear dynamics and self-organization in decentralized power grids D. Witthaut et al. 10.1103/RevModPhys.94.015005
- Open database analysis of scaling and spatio-temporal properties of power grid frequencies L. Rydin Gorjão et al. 10.1038/s41467-020-19732-7
- Assessing low frequency variations in solar and wind power and their climatic teleconnections E. Bianchi et al. 10.1016/j.renene.2022.03.080
- Historical trends of floating wind turbine fatigue loads (Ireland 1920–2010) A. Ulazia et al. 10.1016/j.oceaneng.2024.117424
Latest update: 03 Nov 2024
Short summary
Wind park planning and power system design require robust wind resource information. While most assessments are restricted to the last four decades, we use centennial reanalyses to study wind energy generation variability in Germany. We find that statistically significant multi-decadal variability exists. These long-term effects must be considered when planning future highly renewable power systems. Otherwise, there is a risk of inefficient system design and ill-informed investments.
Wind park planning and power system design require robust wind resource information. While most...
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