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Third generation of photovoltaic panels: A life cycle assessment

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  • Krebs-Moberg, Miles
  • Pitz, Mandy
  • Dorsette, Tiara L.
  • Gheewala, Shabbir H.

Abstract

This study analyzed the impacts from multi-crystalline silicon (m-Si), organic thin-film (OPV), and perovskite thin-film (PSC) panels over each products’ lifetime using a cradle-to-grave system model. The rate of panel installation each year was modeled to account for efficiency, functional lifetime, and degradation. Landfill and recycling scenarios were used to compare end-of-life impacts and the overall environmental impacts were determined using life cycle impact assessment at the midpoint and endpoint levels. Impact calculations revealed that the production and use of m-Si panels resulted in the worst impacts for all categories. OPV panels produced drastically lower impacts comparatively, with PSC designs falling at mid-range. Recycling lowered the impacts for all module types and showed the largest decrease in the impacts of m-Si panels. Although moderately sensitive to the energy production mix, the results can be applied to other regions for the comparison between panel types.

Suggested Citation

  • Krebs-Moberg, Miles & Pitz, Mandy & Dorsette, Tiara L. & Gheewala, Shabbir H., 2021. "Third generation of photovoltaic panels: A life cycle assessment," Renewable Energy, Elsevier, vol. 164(C), pages 556-565.
  • Handle: RePEc:eee:renene:v:164:y:2021:i:c:p:556-565
    DOI: 10.1016/j.renene.2020.09.054
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    1. Lei Meng & Jingbi You & Yang Yang, 2018. "Addressing the stability issue of perovskite solar cells for commercial applications," Nature Communications, Nature, vol. 9(1), pages 1-4, December.
    2. Eskew, John & Ratledge, Meredith & Wallace, Michael & Gheewala, Shabbir H. & Rakkwamsuk, Pattana, 2018. "An environmental Life Cycle Assessment of rooftop solar in Bangkok, Thailand," Renewable Energy, Elsevier, vol. 123(C), pages 781-792.
    3. Das, Utpal Kumar & Tey, Kok Soon & Seyedmahmoudian, Mehdi & Mekhilef, Saad & Idris, Moh Yamani Idna & Van Deventer, Willem & Horan, Bend & Stojcevski, Alex, 2018. "Forecasting of photovoltaic power generation and model optimization: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P1), pages 912-928.
    4. Hou, Guofu & Sun, Honghang & Jiang, Ziying & Pan, Ziqiang & Wang, Yibo & Zhang, Xiaodan & Zhao, Ying & Yao, Qiang, 2016. "Life cycle assessment of grid-connected photovoltaic power generation from crystalline silicon solar modules in China," Applied Energy, Elsevier, vol. 164(C), pages 882-890.
    5. Junming Li & Hai-Lei Cao & Wen-Bin Jiao & Qiong Wang & Mingdeng Wei & Irene Cantone & Jian Lü & Antonio Abate, 2020. "Biological impact of lead from halide perovskites reveals the risk of introducing a safe threshold," Nature Communications, Nature, vol. 11(1), pages 1-5, December.
    6. Annick Anctil & Vasilis Fthenakis, 2012. "Life Cycle Assessment of Organic Photovoltaics," Chapters, in: Vasilis Fthenakis (ed.), Third Generation Photovoltaics, IntechOpen.
    7. Xun Li & Fei Zhang & Haiying He & Joseph J. Berry & Kai Zhu & Tao Xu, 2020. "On-device lead sequestration for perovskite solar cells," Nature, Nature, vol. 578(7796), pages 555-558, February.
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    2. Li, Qingxiang & Monticelli, Carol & Zanelli, Alessandra, 2022. "Life cycle assessment of organic solar cells and perovskite solar cells with graphene transparent electrodes," Renewable Energy, Elsevier, vol. 195(C), pages 906-917.
    3. Özdemir, Samed & Yavuzdoğan, Ahmet & Bilgilioğlu, Burhan Baha & Akbulut, Zeynep, 2023. "SPAN: An open-source plugin for photovoltaic potential estimation of individual roof segments using point cloud data," Renewable Energy, Elsevier, vol. 216(C).
    4. Alizadeh, Sadegh & Avami, Akram, 2021. "Development of a framework for the sustainability evaluation of renewable and fossil fuel power plants using integrated LCA-emergy analysis: A case study in Iran," Renewable Energy, Elsevier, vol. 179(C), pages 1548-1564.

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