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020			_aTHE0009623 (Local) _qHardback
040			_aUMP _beng _cUMP _erda
090			_aFTKMA .A35 2022 r Thesis
100	0		_aAjith Gopi, _eauthor.
245	1	0	_aPerformance modelling and analysis of a utility scale solar photovoltaic power plant in a tropical region / _cAjith Gopi
246		4	_aPerformance modeling and analysis of a utility scale solar photovoltaic power plant in a tropical region
264		1	_aKuantan, Pahang : _bUMP, _c2022
264		4	_c© 2022
300			_axv, 149 pages : _billustrations (some color) ; _c30 cm. + _e1 CD-ROM
336			_2rdacontent _atext
336			_2rdacontent _atext
337			_2rdamedia _aunmediated
337			_2rdamedia _acomputer
338			_2rdacarrier _avolume
338			_2rdacarrier _acomputer disc
347			_2rda _atext file _bPDF
500			_aFaculty of Mechanical and Automotive Engineering Technology
502			_aThesis (Doctor of Philosophy) -- Universiti Malaysia Pahang – 2022
504			_aIncludes bibliographical references
520	3		_aSolar photovoltaics has emerged as the major renewable energy technology for generating power. Tropical regions are the hotspots for utility-scale PV power plants and are highly influenced by the prevailing weather parameters like solar radiation, temperature variations, wind speed, humidity, atmospheric pressure, etc. The performance assessment of PV plants is influenced by the quality of data and the accuracy of instrumentation. The normal performance ratio (PR) metric has limitations when used for performance assessments of utility-scale PV plants. The influence of weather on the performance and the associated advanced prediction models are rarely studied in operational plants. Literature provides only limited examples of economic and environmental analysis of utility PV plants installed in tropical regions. The objective of this research includes the performance analysis of utility-scale PV power plants installed in tropical regions utilizing advanced weather station data, modeling the performance based on important weather parameters and economic & environmental assessment based on long-term measured data. The performance assessment of the solar farm is carried out based on IEC 61724 standards and on a normal performance ratio. Further, the weather corrected performance ratio is estimated by incorporating the local weather characteristics of the site. Performance modeling is accomplished using Minitab and AI tools like Response Surface methodology (RSM), Artificial Neural Network (ANN), and Adaptive Neuro-Fuzzy Inference System (ANFIS). Economic and Environmental aspects are assessed utilizing the RETScreen software platform. The energy analysis of a utility scale PV power plant revealed that the southwest monsoon (SWM) season prevailing in a tropical humid region has a substantial influence on the generation pattern of the plant resulting in a 36% drop in annual energy generation. The solar PV plant’s average performance ratio (PR) is 74.45 %, with a 15.55 % capacity utilization factor (CUF) and an average daily generation of 2728.215 kWh over the study period (2017-2020). A comparative study of normal PR and weather-corrected PR revealed less variation on tropical regions for the studied plant compared to the colder regions. A unique performance model has been developed for predicting the generation for different weather seasons. Global tilted irradiation-based soar energy prediction model is also formulated with less than 4 % error. Among the AI-based models, the ANFIS model is observed to be more efficient for performance prediction. The analyzed solar farm installed in the tropical region has an annual life cycle savings of 35,312 USD/Yr. The environmental analysis revealed the capability of solar plants in mitigating 2827 tonnes of carbon per year. The outcome of this research work will contribute to the performance assessment and benchmarking of utility-scale PV power plants installed worldwide. It will also directly benefit the policymakers, consultants, utilities agencies, and developers.
610	2	0	_aFaculty of Mechanical and Automotive Engineering Technology _xDissertations
650		0	_aUniversities and colleges _xDissertations
650		0	_aTheses
942			_2lcc _cTHESIS