Journal of Korean Society for Quality Management (품질경영학회지)

Korean Society for Quality Management (한국품질경영학회)
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Collection and Analysis of Electricity Consumption Data in POSTECH Campus

포스텍 캠퍼스의 전력 사용 데이터 수집 및 분석

  • Ryu, Do-Hyeon (Department of Industrial and Management Engineering, Pohang University of Science and Technology) ;
  • Kim, Kwang-Jae (Department of Industrial and Management Engineering, Pohang University of Science and Technology) ;
  • Ko, YoungMyoung (Department of Industrial and Management Engineering, Pohang University of Science and Technology) ;
  • Kim, Young-Jin (Department of Electrical Engineering, Pohang University of Science and Technology) ;
  • Song, Minseok (Department of Industrial and Management Engineering, Pohang University of Science and Technology)
  • 류도현 (포항공과대학교 산업경영공학과) ;
  • 김광재 (포항공과대학교 산업경영공학과) ;
  • 고영명 (포항공과대학교 산업경영공학과) ;
  • 김영진 (포항공과대학교 전자전기공학과) ;
  • 송민석 (포항공과대학교 산업경영공학과)
  • Received : 2022.07.27
  • Accepted : 2022.08.16
  • Published : 2022.09.30
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Abstract

Purpose: This paper introduces Pohang University of Science Technology (POSTECH) advanced metering infrastructure (AMI) and Open Innovation Big Data Center (OIBC) platform and analysis results of electricity consumption data collected via the AMI in POSTECH campus. Methods: We installed 248 sensors in seven buildings at POSTECH for the AMI and collected electricity consumption data from the buildings. To identify the amounts and trends of electricity consumption of the seven buildings, electricity consumption data collected from March to June 2019 were analyzed. In addition, this study compared the differences between the amounts and trends of electricity consumption of the seven buildings before and after the COVID-19 outbreak by using electricity consumption data collected from March to June 2019 and 2020. Results: Users can monitor, visualize, and download electricity consumption data collected via the AMI on the OIBC platform. The analysis results show that the seven buildings consume different amounts of electricity and have different consumption trends. In addition, the amounts of most buildings were significantly reduced after the COVID-19 outbreak. Conclusion: POSTECH AMI and OIBC platform can be a good reference for other universities that prepare their own microgrid. The analysis results provides a proof that POSTECH needs to establish customized strategies on reducing electricity for each building. Such results would be useful for energy-efficient operation and preparation of unusual energy consumptions due to unexpected situations like the COVID-19 pandemic.

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