Forecasting Power Generation Considering the Climatic Characteristics of Wind Farms Introduced in Local Cities

  • Kim, Kang-min; 
  • Na, Wookjeong; 
  • Lee, Ji-ae
Citations

SCOPUS

0

초록

Korea announced a plan to increase the proportion of renewable energy among domestic power generation to 20% by 2030. Among them, the wind power generation system is aiming to achieve a power generation facility capacity of 17GW. But the rapidly increasing wind power generation system is greatly affected by the climate and the issue of power supply variability is being raised. In addition, due to the difference in mandatory supply and weighting between the government and power generation business man, actualization measures are steadily being raised, and environmental damage is continuously running, so the reasonable and efficient system re-organization is required. On that account, our study conducted a comparative analysis about the amount of wind power generation on wind plant and the city's electricity consumption.Based on the empirical analysis data, we predicted the amount of wind power generation by wind plant through multiple linear regression analysis. These studies are judged on contributing to the efficiency of the targeting area's wind power plant and the evaluation to the independence of power energy in the targeting city. © 2023 Architectural Institute of Korea.

키워드

Regression analysis; Renewable energy; Urban power; Wind power generation
제목
Forecasting Power Generation Considering the Climatic Characteristics of Wind Farms Introduced in Local Cities
저자
Kim, Kang-min; Na, Wookjeong; Lee, Ji-ae
DOI
10.5659/JAIK.2023.39.11.161
발행일
2023
유형
Article
저널명
대한건축학회논문집
권
39
호
11
페이지
161 ~ 167