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Design and Performance Analysis of Grid-Connected Solar Photovoltaic System with Performance Forecasting Approach (PFA)
Solar Energy utilization is picking up speed globally due to its intermittent characteristics and ecofriendly inexhaustible nature. Electricity from the solar energy has always been a matter of great concern for engineers who always face hurdles due to its reliability aspects and techno-economic concerns. Solar Photovoltaic (PV) technology has emerged rapidly in recent past in standalone as well as grid-connected mode of operation. This paper discusses the performance forecasting analysis of grid-connected 12.5kWP Solar PV Power plant based on Mayo hospital metro station, Nagpur data. The paper includes design of PV system based on panel orientation, ratings of accessories, detailed losses, energy management parameters carried out in PVSyst 7.0 software. The analysis of the PV system was carried out based on Daily output (KWh) diagram, Performance ratio, power output distribution into the grid, Irradiance-Effective array temperature and others graphical results. The significance of this forecasting studies is to estimate the suitability of PV System at a location based on the availability of irradiance level and the forecasted results can give guidelines to the design engineers on design and performance aspects of the system like net power production, performance ratio, etc. where the decision making on real-time installation of the system can be taken based on the techno-economic evaluations. Feasibility evaluation to evaluate the system based on CO2 emission count for solar installation is also done. This paper serves as a guideline for the design engineers and researchers working on solar PV power performance forecasting studies and provides and an approach to exploratory analyze the results and derive the perspectives which can enable decision making on real-time design and implementation of ON grid PV systems.
Design and Performance Analysis of Grid-Connected Solar Photovoltaic System with Performance Forecasting Approach (PFA)
Solar Energy utilization is picking up speed globally due to its intermittent characteristics and ecofriendly inexhaustible nature. Electricity from the solar energy has always been a matter of great concern for engineers who always face hurdles due to its reliability aspects and techno-economic concerns. Solar Photovoltaic (PV) technology has emerged rapidly in recent past in standalone as well as grid-connected mode of operation. This paper discusses the performance forecasting analysis of grid-connected 12.5kWP Solar PV Power plant based on Mayo hospital metro station, Nagpur data. The paper includes design of PV system based on panel orientation, ratings of accessories, detailed losses, energy management parameters carried out in PVSyst 7.0 software. The analysis of the PV system was carried out based on Daily output (KWh) diagram, Performance ratio, power output distribution into the grid, Irradiance-Effective array temperature and others graphical results. The significance of this forecasting studies is to estimate the suitability of PV System at a location based on the availability of irradiance level and the forecasted results can give guidelines to the design engineers on design and performance aspects of the system like net power production, performance ratio, etc. where the decision making on real-time installation of the system can be taken based on the techno-economic evaluations. Feasibility evaluation to evaluate the system based on CO2 emission count for solar installation is also done. This paper serves as a guideline for the design engineers and researchers working on solar PV power performance forecasting studies and provides and an approach to exploratory analyze the results and derive the perspectives which can enable decision making on real-time design and implementation of ON grid PV systems.
Design and Performance Analysis of Grid-Connected Solar Photovoltaic System with Performance Forecasting Approach (PFA)
J. Inst. Eng. India Ser. B
Deshmukh, Akshay Narendra (Autor:in) / Chandrakar, Vinod K. (Autor:in)
Journal of The Institution of Engineers (India): Series B ; 103 ; 1521-1532
01.10.2022
12 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
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