Effect of evapotranspiration on performance improvement of photovoltaic-green roof integrated system

Authors

  • Souradeep Gupta Department of Building, School of Design and Environment, National University of Singapore
  • Prashant Anand Department of Building, School of Design and Environment, National University of Singapore
  • Suveera Kakkar Department of Building, School of Design and Environment, National University of Singapore
  • Pratyusha Sagar Department of Building, School of Design and Environment, National University of Singapore
  • Akanksha Dubey Department of Building, School of Design and Environment, National University of Singapore

Keywords:

PV output, green roof, PV cell temperature, PV efficiency, evapotranspiration

Abstract

The purpose of the research is to evaluate performance improvement of photovoltaic (PV) integrated with green roof system due to evapotranspiration from plants. Evapotranspiration rate (ET) has been modeled by regression method to calculate latent heat flux generated which is responsible for reduction of cell temperature and improving efficiency of PV on green roof. ET rates have been generated by using developed regression model and its effect on power output and cell temperature was studied.  Experimental results showed that power output of PV-green roof system can be higher than reference PV installed on bare concrete roof by about 8.60% whereas maximum improvement in efficiency can be up to 3%. It is found that ET plays significant role in reducing cell temperature and improving output on days with clear sky and fairly high and constant solar irradiance. However, ET rate may fluctuate on days when irradiance level is low due to which the efficiency and power output improvement of PV-green roof system may be minimal compared to PV on bare concrete roof.

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Published

21 June 2017

How to Cite

Gupta, S., Anand, P., Kakkar, S., Sagar, P., & Dubey, A. (2017). Effect of evapotranspiration on performance improvement of photovoltaic-green roof integrated system. Journal of Renewable Energy and Smart Grid Technology, 12(1), 63–76. Retrieved from https://ph01.tci-thaijo.org/index.php/RAST/article/view/90334