기후 자료 분석을 통한 장기 기후변동성이 태양광 발전량에 미치는 영향 연구
Assessing the Impact of Long-Term Climate Variability on Solar Power Generation through Climate Data Analysis
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A study was conducted to analyze data from 1981 to 2020 for understanding the impact of climate on solar energygeneration. A significant increase of 104.6 kWhm-2 was observed in the annual cumulative solar radiation over this period. Notably,the distribution of solar radiation shifted, with the solar radiation in Busan rising from the seventh place in 1981 to the second place in2020 in South Korea. This study also examined the correlation between long-term temperature trends and solar radiation. Areas withthe highest solar radiation in 2020, such as Busan, Gwangju, Daegu, and Jinju, exhibited strong positive correlations, suggesting thatincreased solar radiation contributed to higher temperatures. Conversely, regions like Seosan and Mokpo showed lower temperatureincreases due to factors such as reduced cloud cover. To evaluate the impact on solar energy production, simulations were conductedusing climate data from both years. The results revealed that relying solely on historical data for solar energy predictions could lead tooverestimations in some areas, including Seosan or Jinju, and underestimations in others such as Busan. Hence, considering long-termclimate variability is vital for accurate solar energy forecasting and ensuring the economic feasibility of solar projects.
Abstract
A study was conducted to analyze data from 1981 to 2020 for understanding the impact of climate on solar energygeneration. A significant increase of 104.6 kWhm-2 was observed in the annual cumulative solar radiation over this period. Notably,the distribution of solar radiation shifted, with the solar radiation in Busan rising from the seventh place in 1981 to the second place in2020 in South Korea. This study also examined the correlation between long-term temperature trends and solar radiation. Areas withthe highest solar radiation in 2020, such as Busan, Gwangju, Daegu, and Jinju, exhibited strong positive correlations, suggesting thatincreased solar radiation contributed to higher temperatures. Conversely, regions like Seosan and Mokpo showed lower temperatureincreases due to factors such as reduced cloud cover. To evaluate the impact on solar energy production, simulations were conductedusing climate data from both years. The results revealed that relying solely on historical data for solar energy predictions could lead tooverestimations in some areas, including Seosan or Jinju, and underestimations in others such as Busan. Hence, considering long-termclimate variability is vital for accurate solar energy forecasting and ensuring the economic feasibility of solar projects.
참고문헌 (8)
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