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The construction of a modified Typical Meteorological Year for photovoltaic modeling in India

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  • Murphy, Sean

Abstract

Typical Meteorological Years (TMY) provide a basis for modeling solar photovoltaics. Their use, however, assumes continued historical norms inconsistent with climate change. Modifying TMYs with Regional Climate Models (RCMs) responds to this issue and has applications in renewable energy evaluations. This paper provides perspective on using modified TMYs for solar resource assessments, offers methodological improvements, and analyzes the impacts of insolation and irradiation changes on photovoltaic performance. For Ahmedabad, India, a TMY is constructed from Indian Meteorological Department measurements and modified with two Regional Climate Models - REGCM4 and REMO 2009. For each modified TMY and baseline, the performances of three photovoltaic technologies (monocrystalline, polycrystalline, and double-junction amorphous silicon) are considered for 2015–2050. Increases in ambient temperature are found to have small (<1.0%) but increasing negative impacts on monocrystalline and polycrystalline performance through 2050. A less significant positive trend (<0.1%) was observed for double-junction amorphous silicon. Insolation adjustments for REGCM4 were excluded after an error analysis. Insolation changes from REMO 2009 projected a 4% decrease in photovoltaic output by 2050, but should be considered cautiously given concerns over cloud modeling. A sensitivity analysis of monthly insolation modifications on photovoltaic performance revealed the relative impact of insolation changes in different months.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:renene:v:111:y:2017:i:c:p:447-454
    DOI: 10.1016/j.renene.2017.04.033
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    Cited by:

    1. 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).
    2. Li, Honglian & Yang, Yi & Lv, Kailin & Liu, Jing & Yang, Liu, 2020. "Compare several methods of select typical meteorological year for building energy simulation in China," Energy, Elsevier, vol. 209(C).
    3. Alaaeddin, M.H. & Sapuan, S.M. & Zuhri, M.Y.M. & Zainudin, E.S. & AL- Oqla, Faris M., 2019. "Photovoltaic applications: Status and manufacturing prospects," Renewable and Sustainable Energy Reviews, Elsevier, vol. 102(C), pages 318-332.
    4. Abreu, Edgar F.M. & Canhoto, Paulo & Prior, Victor & Melicio, R., 2018. "Solar resource assessment through long-term statistical analysis and typical data generation with different time resolutions using GHI measurements," Renewable Energy, Elsevier, vol. 127(C), pages 398-411.

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