Thotakura, Sandhya and Kondamudi, Sri Chandan and Xavier, J. Francis and Quanjin, Ma and Reddy, Guduru Ramakrishna and Gangwar, Pavan and Davuluri, Sri Lakshmi (2020) Operational performance of megawatt-scale grid integrated rooftop solar PV system in tropical wet and dry climates of India. Case Studies in Thermal Engineering, 18 (100602). pp. 1-11. ISSN 2214-157X. (Published)
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Abstract
This case study presents the performance of a megawatt-scale grid-connected rooftop solar photovoltaic (PV) plant installed on the building rooftops of an educational institute (GITAM Deemed to be University) located in coastal regions (longitude 83° 23' 6.54'' E and latitude 17° 48' 8.208'' N) of Andhra Pradesh. A framework is proposed to validate the existing simulation models that are used for PV project modeling. The validation is done by comparing the simulated performance with the real-time monitored performance. The studied PV plant consists of 3078 solar panels and 23 inverters. For the analysis, we recorded the PV plant operational data for 12 months from 1st October 2018 to 30th September 2019. Based on the monitored data and by following the proposed framework, performance analysis is carried out. The results include the estimated parameters like energy outputs, yield factor, capacity factor, performance ratio, and the error matrices. The solar PV plant supplied energy of 1325.42 MWh to the grid during the monitored period. The expected outcomes of the solar PV plant are assessed using PVGIS, PV Watts, and PV Syst simulation tools. We observed an average mean bias error (MBE) of 5.33% (PVGIS), 12.33% (PV Watts) and 30.64% (PV Syst) and average normalized mean bias error (NMBE) of 2.954% (PVGIS), 7.88% (PV watts) and 22.75% (PV Syst). Overall, it is observed that there is a deviation between the simulated and monitored energy performance.
Item Type: | Article |
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Additional Information: | Indexed by Scopus |
Uncontrolled Keywords: | Solar PV plants; PV performance; PVGIS; PV watts; PV Syst; Simulation tools |
Subjects: | T Technology > TJ Mechanical engineering and machinery T Technology > TK Electrical engineering. Electronics Nuclear engineering |
Faculty/Division: | Institute of Postgraduate Studies Faculty of Mechanical and Automotive Engineering Technology |
Depositing User: | Mrs Norsaini Abdul Samat |
Date Deposited: | 15 Oct 2021 08:29 |
Last Modified: | 15 Oct 2021 08:29 |
URI: | http://umpir.ump.edu.my/id/eprint/30085 |
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