Abstract

This study identified the meteorological variables that significantly impact the power generation of a solar power plant in Samcheonpo, Korea. To this end, multiple regression models were developed to estimate the power generation of the solar power plant with changing weather conditions. The meteorological data for the regression models were the daily data from January 2011 to December 2019. The dependent variable was the daily power generation of the solar power plant in kWh, and the independent variables were the insolation intensity during daylight hours (MJ/m2), daylight time (h), average relative humidity (%), minimum relative humidity (%), and quantity of evaporation (mm). A regression model for the entire data and 12 monthly regression models for the monthly data were constructed using R, a large data analysis software. The 12 monthly regression models estimated the solar power generation better than the entire regression model. The variables with the highest influence on solar power generation were the insolation intensity variables during daylight hours and daylight time.

Highlights

  • Since 2017, the Korean government has promoted an energy policy that has a goal of renewable energy reaching 20% in the national gross power generation by 2030 [1]

  • As it converts sunlight into electricity, solar power generation heavily depends on the weather conditions of the region where the facility is installed [3]

  • The insolation intensity at the peak time was excluded from the regression model

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Summary

Introduction

Since 2017, the Korean government has promoted an energy policy that has a goal of renewable energy reaching 20% in the national gross power generation by 2030 [1]. Owing to this policy, Korea’s capacity of renewable energy power facilities has increased by approximately five times from 2010 to 2019. In 2019, the renewable energy facility capacity share was 13% of the gross power generation facility capacity, while the solar power facility capacity accounted for 67% of the gross renewable energy facility capacity [2]. There were several rainy days in September 2020, which was approximately 1.7 times higher than those in May 2020 when the highest amount of solar power was generated in the entire year [4]

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