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Multiple power-based building energy management system for efficient management of building energy

Authors
Yoon, Seok-HoKim, Seung-YeonPark, Geon-HeeKim, Yi-KangCho, Choong-HoPark, Byung-Hun
Issue Date
Oct-2018
Publisher
ELSEVIER
Keywords
Building energy management system; Multiple power; Renewable energy; Energy saving system; Energy forecasting; Adaptive energy consumption prediction
Citation
SUSTAINABLE CITIES AND SOCIETY, v.42, pp.462 - 470
Indexed
SCIE
SCOPUS
Journal Title
SUSTAINABLE CITIES AND SOCIETY
Volume
42
Start Page
462
End Page
470
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/73014
DOI
10.1016/j.scs.2018.08.008
ISSN
2210-6707
Abstract
As the significance of increased power consumption in modern society is emphasized, the need for technology to enhance energy efficiency is also increasing. The power consumption of buildings comprises a large proportion of the total energy consumption and systematic methods are needed in order to manage it effectively. This paper proposes a multiple power-based building energy management system (MPBEMS) for the efficient management of building energy. MPBEMS means a system that integrates and manages multiple power produced in one or more ways. The analysis of the big-data based power usage measured in different types of buildings utilizes the power distribution method between multiplepower sources. The paper also suggests and verifies an energy prediction model for efficient building energy management, called the Adaptive Energy Consumption Prediction (AECP) algorithm. This paper proposes a building energy management method using an energy prediction model and analyzes its efficiency by applying it to actual buildings. The result of the efficiency analysis using the proposed system shows an annual electricity rate reduction efficiency of 5%.
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