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Development of typical solar years and typical wind years for efficient assessment of renewable energy systems across the U.S

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  • Zeng, Zhaoyun
  • Stackhouse, Paul
  • Kim, Ji-Hyun (Jeannie)
  • Muehleisen, Ralph T.

Abstract

Weather data plays a critical role in renewable energy analysis. Compared to using multiple Actual Meteorological Years, simulations using a single typical year require significantly fewer computational resources. Previous efforts to create typical weather datasets for renewable energy analysis either lack justified or optimized strategies for selecting and weighting different weather parameters or are limited to a few specific locations. In this study, we developed a dataset comprising Typical Solar Years (TSYs) and Typical Wind Years (TWYs) for over 2000 locations across the U.S., based on data from NASA's POWER project. The strategies for creating TSYs and TWYs were optimized based on the simulated outputs of various PV systems and wind turbines in 16 representative cities. This dataset provides an efficient means for the rapid evaluation and optimization of renewable energy systems throughout the entire U.S. Additionally, the optimal strategies identified in this study can be directly applied to create near-optimal TSYs and TWYs for most locations worldwide. However, readers can also employ the optimization approach presented in this work to develop optimal strategies tailored for particular regions.

Suggested Citation

  • Zeng, Zhaoyun & Stackhouse, Paul & Kim, Ji-Hyun (Jeannie) & Muehleisen, Ralph T., 2025. "Development of typical solar years and typical wind years for efficient assessment of renewable energy systems across the U.S," Applied Energy, Elsevier, vol. 377(PD).
  • Handle: RePEc:eee:appene:v:377:y:2025:i:pd:s0306261924020816
    DOI: 10.1016/j.apenergy.2024.124698
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    References listed on IDEAS

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    1. Sailor, David J. & Smith, Michael & Hart, Melissa, 2008. "Climate change implications for wind power resources in the Northwest United States," Renewable Energy, Elsevier, vol. 33(11), pages 2393-2406.
    2. Ma, Tao & Yang, Hongxing & Lu, Lin, 2014. "Solar photovoltaic system modeling and performance prediction," Renewable and Sustainable Energy Reviews, Elsevier, vol. 36(C), pages 304-315.
    3. Pfenninger, Stefan & Staffell, Iain, 2016. "Long-term patterns of European PV output using 30 years of validated hourly reanalysis and satellite data," Energy, Elsevier, vol. 114(C), pages 1251-1265.
    4. Becker, Sarah & Frew, Bethany A. & Andresen, Gorm B. & Zeyer, Timo & Schramm, Stefan & Greiner, Martin & Jacobson, Mark Z., 2014. "Features of a fully renewable US electricity system: Optimized mixes of wind and solar PV and transmission grid extensions," Energy, Elsevier, vol. 72(C), pages 443-458.
    5. Barstad, Idar & Sorteberg, Asgeir & Mesquita, Michel dos-Santos, 2012. "Present and future offshore wind power potential in northern Europe based on downscaled global climate runs with adjusted SST and sea ice cover," Renewable Energy, Elsevier, vol. 44(C), pages 398-405.
    6. Sengupta, Manajit & Xie, Yu & Lopez, Anthony & Habte, Aron & Maclaurin, Galen & Shelby, James, 2018. "The National Solar Radiation Data Base (NSRDB)," Renewable and Sustainable Energy Reviews, Elsevier, vol. 89(C), pages 51-60.
    7. Carl-Friedrich Schleussner & Joeri Rogelj & Michiel Schaeffer & Tabea Lissner & Rachel Licker & Erich M. Fischer & Reto Knutti & Anders Levermann & Katja Frieler & William Hare, 2016. "Science and policy characteristics of the Paris Agreement temperature goal," Nature Climate Change, Nature, vol. 6(9), pages 827-835, September.
    8. Isabelle Tobin & Robert Vautard & Irena Balog & François-Marie Bréon & Sonia Jerez & Paolo Ruti & Françoise Thais & Mathieu Vrac & Pascal Yiou, 2015. "Assessing climate change impacts on European wind energy from ENSEMBLES high-resolution climate projections," Climatic Change, Springer, vol. 128(1), pages 99-112, January.
    9. Kulesza, Kinga, 2017. "Comparison of typical meteorological year and multi-year time series of solar conditions for Belsk, central Poland," Renewable Energy, Elsevier, vol. 113(C), pages 1135-1140.
    10. Murphy, Sean, 2017. "The construction of a modified Typical Meteorological Year for photovoltaic modeling in India," Renewable Energy, Elsevier, vol. 111(C), pages 447-454.
    11. Thapar, Vinay & Agnihotri, Gayatri & Sethi, Vinod Krishna, 2011. "Critical analysis of methods for mathematical modelling of wind turbines," Renewable Energy, Elsevier, vol. 36(11), pages 3166-3177.
    12. Polo, Jesús & Alonso-Abella, Miguel & Martín-Chivelet, Nuria & Alonso-Montesinos, Joaquín & López, Gabriel & Marzo, Aitor & Nofuentes, Gustavo & Vela-Barrionuevo, Nieves, 2020. "Typical Meteorological Year methodologies applied to solar spectral irradiance for PV applications," Energy, Elsevier, vol. 190(C).
    Full references (including those not matched with items on IDEAS)

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