Abstract
Currently, power generation using solar PV source is in advance stage in India. Government policies and subsidies attract citizens of India to install solar PV system at their commercial and domestic places. Some of the design models and tariffs are also very favorable for them, such as RESCO and CAPEX. To cope with the world in the field of power generation using renewable sources, Integral University opt a RESCO model to install 1 MW rooftop grid-interactive solar PV system. In this paper, a feasibility study of 500kWp is done under adverse weather condition, i.e., in every month of January for last 3 years because maximum variation of temperature and insolation takes place in this month and that is why the system generates minimum amount of energy. Comparison of real data through SCADA with solar PVGIS and PVSYST is also presented in this paper with the complete description of installed system and detailed results at different temperature and insolation at the end.
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References
Dondariya, C., Porwal, D., Awasthi, A., Shukla, A, K., Sudhakar, K., Manohar, S.R.M., Bhimte, A.: Performance simulation of grid-connected rooftop solar PV system for small households: a case study of Ujjain, India. Energy Rep. 4, 546–553 (2018)
Goura, R.: Analyzing the on-field performance of a 1–641 megawatt-grid –tied PV system in South India. Int. J. Sustain. Energy 34, 1–9 (2015)
Hioki, A.T., da Silva, V.R.G.R., Vilela Junior, J.A., Loures, E.D.F.R.: Performance analysis of small grid connected photovoltaic systems. Braz. Arch. Biol. Technol. 62(spe), e19190018 (2019). ISSN 1678-4324 Online Edition
Kumar, S.B., Sudhakar K.: Performance evaluation of 10 MW grid connected solar photovoltaic power plant in India. Energy Rep. 1, 184–192 (2015)
Ministry of New and Renewable Energy, Solar energy in India. https://mnre.gov.in/schemes/decentralized-systems/solar-systems. 12 Feb 2014
NASA Homepage: https://power.larc.nasa.gov/downloads/POWER_SinglePoint_Daily_20190101_20190131_026d88N_080d93E_30bd2446.txt
Sudhakar, K., Srivastava, T., Satpathy, G., Premalatha, M.: Modelling and estimation of photosynthetically active incident radiation based on global irradiance in Indian latitudes. Int. J. Energy Environ. Eng. 4(21), 2–8 (2013)
Shuvho, M.B.A., Chowdhury, M.A., Ahmed, S., Kashem, M.A.: Prediction of solar irradiation and performance evaluation of grid connected solar 80KWp PV plant in Bangladesh. Energy Rep. 5, 714–722 (2019)
Minai, A.F., et al.: Metaheuristics paradigms for renewable energy systems: advances in optimization algorithms. In: Springer Nature Book: Metaheuristic and Evolutionary Computation: Algorithms and Applications. Studies in Computational Intelligence (2020). https://doi.org/10.1007/978-981-15-7571-6_2
Mahto, T., et al.: Condition monitoring and fault detection & diagnostics of wind energy conversion system (WECS). In: Springer Nature Book: Soft Computing in Condition Monitoring and Diagnostics of Electrical and Mechanical Systems, pp. 121–154 (2019). https://doi.org/10.1007/978-981-15-1532-3_5
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Minai, A.F., Usmani, T., Iqbal, A. (2021). Performance Evaluation of a 500 kWp Rooftop Grid-Interactive SPV System at Integral University, Lucknow: A Feasible Study Under Adverse Weather Condition. In: Malik, H., Fatema, N., Alzubi, J.A. (eds) AI and Machine Learning Paradigms for Health Monitoring System. Studies in Big Data, vol 86. Springer, Singapore. https://doi.org/10.1007/978-981-33-4412-9_24
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