Rooftop Photovoltaic Energy Production Management in India Using Earth-Observation Data and Modeling Techniques

被引:8
作者
Masoom, Akriti [1 ]
Kosmopoulos, Panagiotis [2 ]
Kashyap, Yashwant [3 ]
Kumar, Shashi [4 ]
Bansal, Ankit [1 ]
机构
[1] Indian Inst Technol Roorkee, Mech & Ind Engn Dept, Roorkee 247667, Uttar Pradesh, India
[2] Natl Observ Athens, Inst Environm Res & Sustainable Dev, Athens 15236, Greece
[3] Natl Inst Technol Surathkal, Elect & Elect Engn Dept, Surathkal 575025, Karnataka, India
[4] CleanMax Solar Energy Solut Ltd, Bengaluru 560082, Karnataka, India
关键词
solar radiation estimation; PV energy production; clouds and aerosols impact; financial losses; rooftop photovoltaic; azimuthal shadows; SURFACE SOLAR IRRADIANCE; PERFORMANCE; RADIATION; VALIDATION; STRATEGIES; AEROSOLS; VERIFICATION; GENERATION; RETRIEVAL; MODULES;
D O I
10.3390/rs12121921
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
This study estimates the photovoltaic (PV) energy production from the rooftop solar plant of the National Institute of Technology Karnataka (NITK) and the impact of clouds and aerosols on the PV energy production based on earth observation (EO)-related techniques and solar resource modeling. The post-processed satellite remote sensing observations from the INSAT-3D have been used in combination with Copernicus Atmosphere Monitoring Service (CAMS) 1-day forecasts to perform the Indian Solar Irradiance Operational System (INSIOS) simulations. NITK experiences cloudy conditions for a major part of the year that attenuates the solar irradiance available for PV energy production and the aerosols cause performance issues in the PV installations and maintenance. The proposed methodology employs cloud optical thickness (COT) and aerosol optical depth (AOD) to perform the INSIOS simulations and quantify the impact of clouds and aerosols on solar energy potential, quarter-hourly monitoring, forecasting energy production and financial analysis. The irradiance forecast accuracy was evaluated for 15 min, monthly, and seasonal time horizons, and the correlation was found to be 0.82 with most of the percentage difference within 25% for clear-sky conditions. For cloudy conditions, 27% of cases were found to be within +/- 50% difference of the percentage difference between the INSIOS and silicon irradiance sensor (SIS) irradiance and it was 60% for clear-sky conditions. The proposed methodology is operationally ready and is able to support the rooftop PV energy production management by providing solar irradiance simulations and realistic energy production estimations.
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页数:27
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