A Novel Data-Driven Method to Estimate Invisible Solar Power Generation: A Case Study in Taiwan

Nguyen, Thi Bich Phuong; Wu, Yuan‐Kang; Pham, Manh-Hai

doi:10.1109/tia.2022.3201810

Cited by 3 publications

(2 citation statements)

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“…27 Various case studies on the PV performance are accomplished by researchers by considering certain locations, 28 , 29 based on techno-economic assessment, 30 , 31 feasibility studies, 32 , 33 comparative studies, 34 optimizing the performance, 35 solar insolation studies and estimations 36 – 38 and several other factors. 39 – 46 …”

Section: Introductionmentioning

confidence: 99%

“…These global solar radiation maps are downloaded from Solargis, where several collections of solar resource maps are available for research purposes. 27 Various case studies on the PV performance are accomplished by researchers by considering certain locations, 28,29 based on techno-economic assessment, 30,31 feasibility studies, 32,33 comparative studies, 34 optimizing the performance, 35 solar insolation studies and estimations [36][37][38] and several other factors. [39][40][41][42][43][44][45][46]…”

Section: Introductionmentioning

confidence: 99%

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Performance evaluation and comparative study of three 52-kW PV plants in India: a case study

Navamani Jayachandran,

Kadhirvel,

Anbazhagan

et al. 2023

F1000Res

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Developing countries like India are rapidly transitioning from traditional energy sources to sustainable energy sources, due to the increase in demand and the depletion of fossil fuels. Grid-connected photovoltaic (PV) systems attract many investors, organizations, and institutions for deployment. This article studies and compares the performance evaluations of three 52-kW PV plants installed at an educational institution, SRMIST (SRM Institute of Science and Technology), in Tamil Nadu, India. This site receives an annual average temperature of 28.5°C and an average global horizontal irradiation of 160 kWh/m2/m. The prediction model for the 52-kW power plant is obtained using solar radiation, temperature, and wind speed. Linear regression model-based prediction equations are derived using the Minitab 16.2.1 software, and the results are compared with the real-time AC energy yield acquired from the three 52-kW plants for the year 2020. Furthermore, this 52-kW plant is designed using PVsyst V7.1.8 version software. The simulation results are compared with the energy yield from the plants in 2020 to identify the shortfall in the plant performance. The loss analysis for the plant is performed by obtaining the loss diagram from the PVsyst software. This study also proposes a methodology to study the commissioned PV plant's performance and determine the interaction between variables such as direct and diffused solar radiations, air temperature, and wind speed for forecasting hourly produced power. This article will motivate researchers to analyze installed power plants using modern technical tools.

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