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Assessment of the Carbon Footprint, Social Benefit of Carbon Reduction, and Energy Payback Time of a High-Concentration Photovoltaic System

Author

Listed:
  • Allen H. Hu

    (Institute of Environmental Engineering and Management, National Taipei University of Technology, Taipei 106, Taiwan)

  • Lance Hongwei Huang

    (Institute of Environmental Engineering and Management, National Taipei University of Technology, Taipei 106, Taiwan)

  • Sylvia Lou

    (Environmental Science Technology Consultants Corporation, Taipei 106, Taiwan)

  • Chien-Hung Kuo

    (Institute of Environmental Engineering and Management, National Taipei University of Technology, Taipei 106, Taiwan)

  • Chin-Yao Huang

    (Institute of Environmental Engineering and Management, National Taipei University of Technology, Taipei 106, Taiwan)

  • Ke-Jen Chian

    (Physics Division, Institute of Nuclear Energy Research, Taoyuan 325, Taiwan)

  • Hao-Ting Chien

    (Physics Division, Institute of Nuclear Energy Research, Taoyuan 325, Taiwan)

  • Hwen-Fen Hong

    (Physics Division, Institute of Nuclear Energy Research, Taoyuan 325, Taiwan)

Abstract

Depleting fossil fuel sources and worsening global warming are two of the most serious world problems. Many renewable energy technologies are continuously being developed to overcome these challenges. Among these technologies, high-concentration photovoltaics (HCPV) is a promising technology that reduces the use of expensive photovoltaic materials to achieve highly efficient energy conversion. This reduction process is achieved by adopting concentrating and tracking technologies. This study intends to understand and assess the carbon footprint and energy payback time (EPBT) of HCPV modules during their entire life cycles. The social benefit of carbon reduction is also evaluated as another indicator to assess the energy alternatives. An HCPV module and a tracker from the Institute of Nuclear Energy Research (INER) were applied, and SimaPro 8.0.2 was used for the assessment. The functional unit used in this study was 1 kWh, which is produced by HCPV, and inventory data was sourced from Ecoinvent 3.0 and the Taiwan carbon footprint calculation database. The carbon footprint, EPBT, and social benefit of carbon reduction were evaluated as 107.69 g CO 2 eq/kWh, 2.61 years, and 0.022 USD/kWh, respectively. Direct normal irradiation (DNI), life expectancy, and the degradation rate of HCPV system were subjected to sensitivity analysis. Results show that the influence of lifetime assumption under a low DNI value is greater than those under high DNI values. Degradation rate is also another important factor when assessing the carbon footprint of HCPV under a low DNI value and a long lifetime assumption. The findings of this study can provide several insights for the development of the Taiwanese solar industry.

Suggested Citation

  • Allen H. Hu & Lance Hongwei Huang & Sylvia Lou & Chien-Hung Kuo & Chin-Yao Huang & Ke-Jen Chian & Hao-Ting Chien & Hwen-Fen Hong, 2016. "Assessment of the Carbon Footprint, Social Benefit of Carbon Reduction, and Energy Payback Time of a High-Concentration Photovoltaic System," Sustainability, MDPI, vol. 9(1), pages 1-20, December.
    • Handle: RePEc:gam:jsusta:v:9:y:2016:i:1:p:27-:d:86127
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    References listed on IDEAS

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    1. Xiaohua Song & Yun Long & Zhongfu Tan & Xubei Zhang & Leming Li, 2016. "The Optimization of Distributed Photovoltaic Comprehensive Efficiency Based on the Construction of Regional Integrated Energy Management System in China," Sustainability, MDPI, vol. 8(11), pages 1-19, November.
    2. Nishimura, A. & Hayashi, Y. & Tanaka, K. & Hirota, M. & Kato, S. & Ito, M. & Araki, K. & Hu, E.J., 2010. "Life cycle assessment and evaluation of energy payback time on high-concentration photovoltaic power generation system," Applied Energy, Elsevier, vol. 87(9), pages 2797-2807, September.
    3. Editorial Article, 0. "The Information for Authors," Economics of Contemporary Russia, Regional Public Organization for Assistance to the Development of Institutions of the Department of Economics of the Russian Academy of Sciences, issue 2.
    4. Reichelstein, Stefan & Yorston, Michael, 2013. "The prospects for cost competitive solar PV power," Energy Policy, Elsevier, vol. 55(C), pages 117-127.
    5. Federica Cucchiella & Idiano D’Adamo & Paolo Rosa, 2015. "Industrial Photovoltaic Systems: An Economic Analysis in Non-Subsidized Electricity Markets," Energies, MDPI, vol. 8(11), pages 1-16, November.
    6. Editorial Article, 0. "The Information for Authors," Economics of Contemporary Russia, Regional Public Organization for Assistance to the Development of Institutions of the Department of Economics of the Russian Academy of Sciences, issue 4.
    7. Raugei, Marco & Bargigli, Silvia & Ulgiati, Sergio, 2007. "Life cycle assessment and energy pay-back time of advanced photovoltaic modules: CdTe and CIS compared to poly-Si," Energy, Elsevier, vol. 32(8), pages 1310-1318.
    8. Editorial Article, 0. "The Information for Authors," Economics of Contemporary Russia, Regional Public Organization for Assistance to the Development of Institutions of the Department of Economics of the Russian Academy of Sciences, issue 3.
    9. Editorial Article, 0. "The Information for Authors," Economics of Contemporary Russia, Regional Public Organization for Assistance to the Development of Institutions of the Department of Economics of the Russian Academy of Sciences, issue 1.
    10. Editorial Article, 0. "The Information for Authors," Economics of Contemporary Russia, Regional Public Organization for Assistance to the Development of Institutions of the Department of Economics of the Russian Academy of Sciences, issue 4.
    11. Peng, Jinqing & Lu, Lin & Yang, Hongxing, 2013. "Review on life cycle assessment of energy payback and greenhouse gas emission of solar photovoltaic systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 19(C), pages 255-274.
    12. Editorial Article, 0. "The Information for Authors," Economics of Contemporary Russia, Regional Public Organization for Assistance to the Development of Institutions of the Department of Economics of the Russian Academy of Sciences, issue 3.
    13. Branker, K. & Pathak, M.J.M. & Pearce, J.M., 2011. "A review of solar photovoltaic levelized cost of electricity," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(9), pages 4470-4482.
    14. Editorial Article, 0. "The Information for Authors," Economics of Contemporary Russia, Regional Public Organization for Assistance to the Development of Institutions of the Department of Economics of the Russian Academy of Sciences, issue 2.
    15. Laleman, Ruben & Albrecht, Johan & Dewulf, Jo, 2011. "Life Cycle Analysis to estimate the environmental impact of residential photovoltaic systems in regions with a low solar irradiation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(1), pages 267-281, January.
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    1. Parlikar, Anupam & Truong, Cong Nam & Jossen, Andreas & Hesse, Holger, 2021. "The carbon footprint of island grids with lithium-ion battery systems: An analysis based on levelized emissions of energy supply," Renewable and Sustainable Energy Reviews, Elsevier, vol. 149(C).

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