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Carbon pay back period for solar and wind energy project installed in India: A critical review

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  • Marimuthu, C.
  • Kirubakaran, V.

Abstract

All renewable energy systems make some contribution to climate change. This is due to fuel combusted for their construction and as back up energy during their operation. Accurate calculation of greenhouse gas emission per kilowatt hour of electricity is difficult but is an important part of policy making and planning. This study, an attempt has been made to analyze and review the development and potential of wind and solar energy in India. LCA has been carried out for the on shore wind turbine and poly crystalline PV module. Based on the past studies, life cycle inventory data has been collected for the investigation. Using that data, the detailed investigation has been made for the existing grid connected 1.65MW wind turbine project in and around Udumalpet, Tamil Nadu and 25kW Roof top solar PV Power plant at Sewa Bhawan, New Delhi. Carbon intensity, energy pay back period and carbon pay back period for the above system have been calculated and compared with each other.

Suggested Citation

  • Marimuthu, C. & Kirubakaran, V., 2013. "Carbon pay back period for solar and wind energy project installed in India: A critical review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 23(C), pages 80-90.
    • Handle: RePEc:eee:rensus:v:23:y:2013:i:c:p:80-90
    DOI: 10.1016/j.rser.2013.02.045
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    References listed on IDEAS

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    Cited by:

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    2. Carnevale, E. & Lombardi, L. & Zanchi, L., 2014. "Life Cycle Assessment of solar energy systems: Comparison of photovoltaic and water thermal heater at domestic scale," Energy, Elsevier, vol. 77(C), pages 434-446.
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    5. Shen, Ge & Xu, Bin & Jin, Yunxiang & Chen, Shi & Zhang, Wenbo & Guo, Jian & Liu, Hang & Zhang, Yujing & Yang, Xiuchun, 2017. "Monitoring wind farms occupying grasslands based on remote-sensing data from China’s GF-2 HD satellite—A case study of Jiuquan city, Gansu province, China," Resources, Conservation & Recycling, Elsevier, vol. 121(C), pages 128-136.
    6. Nugent, Daniel & Sovacool, Benjamin K., 2014. "Assessing the lifecycle greenhouse gas emissions from solar PV and wind energy: A critical meta-survey," Energy Policy, Elsevier, vol. 65(C), pages 229-244.
    7. Nagashima, Shin & Uchiyama, Yohji & Okajima, Keiichi, 2017. "Hybrid input–output table method for socioeconomic and environmental assessment of a wind power generation system," Applied Energy, Elsevier, vol. 185(P2), pages 1067-1075.
    8. Pinto, Mauricio Almeida & Frate, Cláudio Albuquerque & Rodrigues, Thiago Oliveira & Caldeira-Pires, Armando, 2020. "Sensitivity analysis of the carbon payback time for a Brazilian photovoltaic power plant," Utilities Policy, Elsevier, vol. 63(C).
    9. Asdrubali, Francesco & Baldinelli, Giorgio & D’Alessandro, Francesco & Scrucca, Flavio, 2015. "Life cycle assessment of electricity production from renewable energies: Review and results harmonization," Renewable and Sustainable Energy Reviews, Elsevier, vol. 42(C), pages 1113-1122.

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