Model identification of photovoltaic power generation efficiency with hot spot

With the increasing consumption of fossil energy and changes in the ecological environment, meeting the energy demands required for industrial and economic development with clean and efficient power generation is a major challenge of our society. Solar energy is considered to be one of the most renewable and sustainable energy sources, and photovoltaic power generation has become an important research topic. This study combines data envelopment analysis (DEA) with Tobit regression analysis to assess the efficiency of photovoltaic power generation in China and analyze factors affecting efficiency to improve the efficiency of photovoltaic power generation. The results show that there are obvious regional differences in photovoltaic power generation efficiency in China. The phenomenon of focusing on economic development at the expense of the use of solar power generation still exists. The establishment of photovoltaic demonstration projects, the implementation of differential electricity price policies, and the promotion of photovoltaic precision poverty alleviation can alleviate economic pressure and effectively improve the efficiency of photovoltaic power generation.

Download Full-text

PV Cells Power Generation System Modeling Based on Heat Energy Efficiency

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.986-987.1977 ◽

2014 ◽

Vol 986-987 ◽

pp. 1977-1983

Author(s):

Feng Feng Li ◽

Qiu Xuan Wu ◽

Li Juan Huang ◽

Yu Jie Huang

Keyword(s):

Power Generation ◽

Energy Efficiency ◽

Photovoltaic Cell ◽

Utilization Efficiency ◽

System Model ◽

Generation System ◽

Generation Efficiency ◽

Photovoltaic Power ◽

Environment Temperature ◽

Power Generation System

Temperature is one of the important factors affecting the power generation efficiency of PV cells. In order to improve the efficiency of photovoltaic power generation systems and heat utilization efficiency, we used Matlab/Simulink to build photovoltaic power system analysis model based on thermal power. By changing the heat and illumination input to the photovoltaic cell model and the heat generated by the battery we got the characteristics and temperature characteristics of the photovoltaic cell the system model, the photovoltaic power generation system model and the output power correction, etc. We got the environmental temperature change equation through the actual air temperature and curve fitting and used real and detailed data to compare the data obtained using the equation for online correction. PV cells temperature factor was used to get the PV cells temperature with the environment temperature changes. In order to get PV module thermal /energy efficiency the dates was processed and analyzed by using Matlab and Excel through actual observation data of school 120KW PV power station. The results showed that power generation efficiency increased and year average efficiency PV improved 21.3279% through the use of some heat about PV cells.

Download Full-text