Journal of Cleaner Production, 314, 128028
Environment|구충완
A scalable platform for investigating the space-specific features of the temporal energy usage pattern and saving potential with real-time bigdata
2021International Journals
Research AreaEnvironment
Professor구충완
AuthorsLee, J., Kim, T.W., Lee, C., and Koo, C. (Corresponding Author)
Publication Year2021
Journal (Volume, Issue, Pages)Journal of Cleaner Production, 314, 128028
AbstractThe Korean government has initiated a “Green New Deal” policy, in which a smart energy platform was proposed for more efficient building energy management that could monitor energy consumption in real time and control electrical installation and appliance in a timely manner. With the energy bigdata collected via IoT-based smart energy meter, this study aimed to develop a scalable platform for investigating the space-specific features of the temporal energy usage pattern and the relevant energy saving potential by electrical installation (i.e., lighting, electrical appliances, heating & cooling systems) in a building. This study was conducted in four stages: (i) real-time bigdata collection; (ii) development of dashboard; (iii) scalable analysis of energy usage pattern; and (iv) scalable analysis of energy saving potential. Main finding can be summarized as follow. First, more than 50% of the energy usage in main spaces (i.e., classrooms) was consumed by the heating & cooling systems. Second, the total energy saving potential was estimated at 11.50% when applying the developed actuator to the standby power and electrical radiator. Third, the annual cost saving potential as economic feasibility was estimated at 11.13%. The proposed scalable platform can contribute to investigating the energy usage pattern by electrical installation from a spatio-temporal perspective and to changing the occupants’ behaviors for energy savings by considering space-specific features and occupancy patterns. The proposed novel approach can be extended to various types of buildings.
IoT-Based Smart Energy MeterReal-Time BigdataScalable AnalysisEnergy Usage PatternEnergy Saving PotentialEconomic Feasibility