- Volume 19 Issue 4
DOI QR Code
Analysis and Risk Prediction of Electrical Accidents Due to Climate Change
기후환경 변화에 따른 전기재해 위험도 분석
- Kim, Wan-Seok (Department of Electrical Engineering, Wonkwang University) ;
- Kim, Young-Hun (Department of Electrical Engineering, Wonkwang University) ;
- Kim, Jaehyuck (Department of Electrical Engineering, Wonkwang University) ;
- Oh, Hun (Department of Electrical Engineering, Wonkwang University)
- Received : 2018.01.22
- Accepted : 2018.04.06
- Published : 2018.04.30
The development of industry and the increase in the use of fossil fuels have accelerated the process of global warming and climate change, resulting in more frequent and intense natural disasters than ever before. Since electricity facilities are often installed outdoors, they are heavily influenced by natural disasters and the number of related accidents is increasing. In this paper, we analyzed the statistical status of domestic electrical fires, electric shock accidents, and electrical equipment accidents and hence analyzed the risk associated with climate change. Through the analysis of the electrical accidental data in connection with the various regional (metropolitan) climatic conditions (temperature, humidity), the risk rating and charts for each region and each equipment were produced. Based on this analysis, a basic electric risk prediction model is presented and a method of displaying an electric hazard prediction map for each region and each type of electric facilities through a website or smart phone app was developed using the proposed analysis data. In addition, efforts should be made to increase the durability of the electrical equipment and improve the resistance standards to prevent future disasters.
Climate change;Electrical fire;Electrical accident;Electric safety;Risk prediction;Risk rating
Supported by : 한국에너지기술평가원, 한국연구재단
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