A New Model for Estimation of Energy Extraction from Bifacial Photovoltaic Modules
Preeti Kumari Sahu,
J. N. Roy,
Chandan Chakraborty and
Senthilarasu Sundaram
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Preeti Kumari Sahu: School of Energy Science and Engineering (SESE), IIT Kharagpur, Kharagpur 721302, India
J. N. Roy: Advanced Technology Developement Center (ATDC), IIT Kharagpur, Kharagpur 721302, India
Chandan Chakraborty: Department of Electrical Engineering, IIT Kharagpur, Kharagpur 721302, India
Senthilarasu Sundaram: Renewable Energy, University of Exeter, Exeter EX4 4PY, UK
Energies, 2021, vol. 14, issue 16, 1-16
Abstract:
The energy yield from bifacial solar photovoltaic (PV) systems can be enhanced by optimizing the tilt angle. Bifacial modules boost the energy yield by 4% to 15% depending on the module type and ground reflectivity with an average of 9%. The selection of tilt angle depends on several factors, including the geographical location, weather variation, etc. Compared to the variable tilt angle, a constant angle is preferred from the point of view of the cost of installation and the cost of maintenance. This paper proposes a new method for analysing bifacial modules. A simpler rear-side irradiance model is presented to estimate the energy yield of a bifacial solar photovoltaic module. The detailed analysis also explores the optimum tilt angle for the inclined south–north orientation to obtain the maximum possible yield from the module. Taking four regions into account, i.e., Kharagpur, Ahmedabad, Delhi, and Thiruvananthapuram, in the Indian climate, we studied several cases. The Kharagpur system showed a monthly rear irradiance gain of 13%, and the Delhi climate showed an average performance ratio of 19.5%. We studied the impact of albedo and GCR on the tilt angle. Finally, the estimated model was validated with the PVSyst version 6.7.6 as well as real field test measurements taken from the National Renewable Energy Laboratory (NREL) located in the USA.
Keywords: bifacial PV module; irradiance modelling; spherical solar coordinate geometry (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:14:y:2021:i:16:p:5089-:d:616929
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