The Solar Power Plant Prediction A case Study in Phitsanulok, Thailand

2018 2nd International Conference on Power and Energy Engineering

Srisuriyajan, W.^1 ; Thongchaisuratkrul, C.^1

King Mongkut's University of Technology North Bangkok, Bangkok, Thailand^1

关键词: Energy generations;    Module temperature;    Multiple linear regressions;    Real power;    Simple regression analysis;    Thailand;    Wind speed;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/192/1/012047/pdf
DOI  :  10.1088/1755-1315/192/1/012047

来源: IOP

【 摘 要 】

This research aims to find ways to predict the generated solar energy of 800 kW solar power plants. The investigated factors affecting on the plant consisted of irradiance, humidity, wind speed, ambient temperature, module temperature and real power. The plant located in Phitsanulok province, Thailand. Simple Regression Analysis and Multiple Linear Regression were used to analyse correlation. From the results, it is clear that solar energy directly depended on irradiance. Moreover it was an inverse of the module temperature. It is investigated that humidity and wind speed had not effect on solar energy generation. Furthermore real power value had little effect. Finally, the four correlations between generated solar energy and variables were used to predict. Four correlations were classified by temperature.