Operational performance of megawatt-scale grid integrated rooftop solar PV system in tropical wet and dry climates of India. (April 2020)

• Record Type: Journal Article
• Authors: Thotakura, Sandhya; Chandan Kondamudi, Sri; Xavier, J. Francis; Quanjin, Ma; Reddy, Guduru Ramakrishna; Gangwar, Pavan; Davuluri, Sri Lakshmi
• Is Part Of: Case studies in thermal engineering. Volume 18(2020)
• Publication Date: 2020-04
• Subjects: Solar PV plants -- PV performance -- PVGIS -- PV watts -- PV Syst -- Simulation tools; Heat engineering -- Case studies -- Periodicals; 621.40205
• DOI: 10.1016/j.csite.2020.100602
• Languages: English
• ISSNs: 2214-157X

Abstract

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 1 st October 2018 to 30 th 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.