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Design and analysis of rooftop grid tied 50kW capacity Solar Photovoltaic (SPV) power plant

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  • Berwal, Anil K.
  • Kumar, Sanjay
  • Kumari, Nisha
  • Kumar, Virender
  • Haleem, Abid

Abstract

Renewable energy is a viable alternative to meet growing energy demand of the country. Realizing this fact, Indian government has recently expressed an intention towards achieving 100GW of solar capacity by 2022; out of which 40% is being expected through decentralized and roof top scale solar projects. One such Photovoltaic (PV) plant of 50kW capacity installed at the roof top of Saraswati library building of Deenbandhu Chhotu Ram University of Science & Technology has been analyzed for its technical and financial viability. We have also analyzed the mix of technicalities involved in this PV plant. This PV plant is generating more than 5200kWh/month of electricity and reducing 4070kg/month of GHG emissions. Further, this plant is installed with govt. subsidy and found that the subsidy amount makes it lucrative by reducing pay back duration to 5.7 years and increasing the IRR to 16.97%. But even without subsidy, the pay back duration comes out to be 10.3 years and IRR equals to 8.22% to make it financially viable. Thus it is observe that if govt continued to provide subsidy up to 30% to such projects for next 2 to 3 years, then it will help to attract the domestic sector to get install more and more PV plant on their rooftop. Further attempt have been made to present a generic framework for providing SPV power system.

Suggested Citation

  • Berwal, Anil K. & Kumar, Sanjay & Kumari, Nisha & Kumar, Virender & Haleem, Abid, 2017. "Design and analysis of rooftop grid tied 50kW capacity Solar Photovoltaic (SPV) power plant," Renewable and Sustainable Energy Reviews, Elsevier, vol. 77(C), pages 1288-1299.
    • Handle: RePEc:eee:rensus:v:77:y:2017:i:c:p:1288-1299
    DOI: 10.1016/j.rser.2017.03.017
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    References listed on IDEAS

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    1. Garg, Amit & Naswa, Prakriti & Shukla, P.R., 2015. "Energy infrastructure in India: Profile and risks under climate change," Energy Policy, Elsevier, vol. 81(C), pages 226-238.
    2. 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.
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    Cited by:

    1. Zhang, Kai & Chen, Min & Yang, Yue & Zhong, Teng & Zhu, Rui & Zhang, Fan & Qian, Zhen & Lü, Guonian & Yan, Jinyue, 2022. "Quantifying the photovoltaic potential of highways in China," Applied Energy, Elsevier, vol. 324(C).
    2. Zhong, Teng & Zhang, Kai & Chen, Min & Wang, Yijie & Zhu, Rui & Zhang, Zhixin & Zhou, Zixuan & Qian, Zhen & Lv, Guonian & Yan, Jinyue, 2021. "Assessment of solar photovoltaic potentials on urban noise barriers using street-view imagery," Renewable Energy, Elsevier, vol. 168(C), pages 181-194.
    3. Zhang, Kai & Wang, Dajiang & Chen, Min & Zhu, Rui & Zhang, Fan & Zhong, Teng & Qian, Zhen & Wang, Yazhou & Li, Hengyue & Wang, Yijie & Lü, Guonian & Yan, Jinyue, 2024. "Power generation assessment of photovoltaic noise barriers across 52 major Chinese cities," Applied Energy, Elsevier, vol. 361(C).
    4. Yajing Gao & Fushen Xue & Wenhai Yang & Yanping Sun & Yongjian Sun & Haifeng Liang & Peng Li, 2017. "A Three-Part Electricity Price Mechanism for Photovoltaic-Battery Energy Storage Power Plants Considering the Power Quality and Ancillary Service," Energies, MDPI, vol. 10(9), pages 1-21, August.
    5. Zhong, Teng & Zhang, Zhixin & Chen, Min & Zhang, Kai & Zhou, Zixuan & Zhu, Rui & Wang, Yijie & Lü, Guonian & Yan, Jinyue, 2021. "A city-scale estimation of rooftop solar photovoltaic potential based on deep learning," Applied Energy, Elsevier, vol. 298(C).

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