지역난방 사용자설비의 열교환기 방식과 빅데이터 기반 운영실태 분석을 통한 에너지 효율향상 방안 연구

In this study, we tried to derive energy efficiency improvement plans through actual data-based analysis by collecting operational big data for several years of substations, which are the contact points between suppliers and consumers of district heating systems. In particular, the exergy change representing the energy quality as well as the simple amount of energy due to the temperature difference between the supply and return temperatures in the substation was compared and analyzed. This analysis was able to identify substation operation status and heat usage patterns.
In addition, energy consumption data according to the heat exchanger type among the facilities of the apartment consumer substation were collected. By synthesizing these results, we tried to lay the foundation for expanding precision diagnosis services through consumer equipment energy efficiency diagnosis and maintenance of substations.