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http://dx.doi.org/10.20465/KIOTS.2021.7.3.009

A Study on Energy Efficiency Improvement through Building Insulation Diagnosis  

Cho, Kwangmoon (Dept. of Electronic Commerce, Mokpo National University)
Publication Information
Journal of Internet of Things and Convergence / v.7, no.3, 2021 , pp. 9-14 More about this Journal
Abstract
This paper discovers the energy loss factors through the insulation diagnosis of houses or buildings, and proposes directions for energy efficiency improvement. The energy efficiency factor of a building consists of insulation diagnosis, thermal bridge diagnosis, window diagnosis, airtight diagnosis, and equipment diagnosis. Among the residents and facilities in the energy welfare blind spot, an energy efficiency diagnosis was conducted for one senior citizen building located in Naju-si, Jeollanam-do, and energy efficiency diagnosis was conducted after insulation was installed. Energy measurement, diagnosis and analysis were performed using the IoT-based integrated wired/wireless energy diagnosis platform, Energy Finder. As a result of comparison, an overall energy saving rate of 16.38% was achieved. Annual heating energy consumption per unit area decreased from 333.51kWh before construction to 277.35kWh after construction, and annual cooling energy consumption per unit area decreased from 5.51kWh before construction to 5.22kWh after construction. The annual primary energy consumption per unit area decreased from 464.52kWh before construction to 403.69kWh after construction, and the annual energy cost was reduced from 3,063,307.14 won before construction to 2,641,072.49 won after construction. The additional improvement work is needed on the standards affecting energy efficiency other than insulation.
Keywords
Insulation; Energy Efficiency; Energy Loss; Energy Efficiency Diagnosis; Energy Efficiency Improvement;
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