포스텍 캠퍼스의 전력 사용 데이터 수집 및 분석

• Published in: 品質經營學會誌 Vol. 50; no. 3; pp. 617 - 634
• Main Authors: 류도현, Do-hyeon Ryu, 김광재, Kwang-jae Kim, 고영명, Youngmyoung Ko, 김영진, Young-jin Kim, 송민석, Minseok Song
• Format: Journal Article
• Language: Korean
• Published: 한국품질경영학회 30.09.2022
• Subjects: Advanced Metering Infrastructure; Electricity Consumption Data; Open Innovation Big Data Center; University Campus; 학제간연구; Open Innovation Big Data Center; Advanced Metering Infrastructure; Electricity Consumption Data; University Campus
• ISSN: 1229-1889; 2287-9005
• DOI: 10.7469/JKSQM.2022.50.3.617

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.