DOI QR코드

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)
  • 김완석 (원광대학교 전기공학과) ;
  • 김영훈 (원광대학교 전기공학과) ;
  • 김재혁 (원광대학교 전기공학과) ;
  • 오훈 (원광대학교 전기공학과)
  • Received : 2018.01.22
  • Accepted : 2018.04.06
  • Published : 2018.04.30

Abstract

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.

Keywords

Climate change;Electrical fire;Electrical accident;Electric safety;Risk prediction;Risk rating

Acknowledgement

Supported by : 한국에너지기술평가원, 한국연구재단

References

  1. Sangjin Jeong, Yoon-Young An, "Climate Change Risk Assessment Method for Electrical Facility," Proc. of Information and Communication Technology Convergence(ICTC), pp. 184-188, October, 2016.
  2. ITU, "Resilient pathways: the adaptation of the ICT sector to climate change," pp. 13-19, April, 2014.
  3. David Yates, Byron Quan Luna, "Stormy Weather: Assessing Climate Change Hazards to Electric Power Infrastructure: A Sandy Case Study," IEEE Power and Energy Magazine, pp. 66-75, August 2014. DOI: https://doi.org/10.1109/MPE.2014.2331901
  4. DeTao Mao, Jose R. Marti, K. D. Srivastava, "Mitigating Blackout along the Cascading Pathways," IEEE Conferences, pp. 159-164, May 2009.
  5. P. Hoeppe, G. Berz, "Risk of climate change - the perspective of the (re) insurance industry," IEEE Power Engineering Society General Meeting 2005, pp. 1367-1370, August 2005. DOI: https://doi.org/10.1109/PES.2005.1489359
  6. Judith Cardell, "The Electric Power Industry and Climate Change: U.S. Research Needs," 2008 IEEE Power and Energy Society General Meeting, pp. 1-3, August 2008. DOI: https://doi.org/10.1109/PES.2008.4596411
  7. Ching-Lai Hor, "Analyzing the Impact of Weather Variables on Monthly Electricity Demand," IEEE Transactions on power system, pp. 2078-2085, November 2005. DOI: https://doi.org/10.1109/TPWRS.2005.857397
  8. Tom Overbye, Judith Cardell, "The Electric Power Industry and Climate Change: Power Systems Research Possibilities," PSERC Publication, June 2007.
  9. Korea Electrical Safety Corporation, "Statistical analysis of electric disaster," 2006-2016.
  10. Northern Powergrid, Adapting to Climate Change, Executive Summary, pp. 3-12, June 2015.