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

• Published in: Sustainable cities and society Vol. 42; pp. 462 - 470
• Main Authors: Yoon, Seok-Ho, Kim, Seung-Yeon, Park, Geon-Hee, Kim, Yi-Kang, Cho, Choong-Ho, Park, Byung-Hun
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01.10.2018
• Subjects: Adaptive energy consumption prediction; Building energy management system; Energy forecasting; Energy saving system; Multiple power; Renewable energy; Building energy management system; Renewable energy; Adaptive energy consumption prediction; Multiple power; Energy saving system; Energy forecasting
• ISSN: 2210-6707; 2210-6715
• DOI: 10.1016/j.scs.2018.08.008

•A multiple power-based building energy management system (MPBEMS) is proposed for effective energy management in building.•We propose a power distribution method for multiple power source and a power consumption device control method based on consumption prediction.•We proposes an Adaptive Energy Consumption Prediction (AECP) algorithm and the performance of the algorithm is evaluated.•We calculate the cost function and analyze the performance of the proposed system in a building in Seoul where the system is installed.•The result of the efficiency analysis using the proposed system shows an annual electricity rate reduction efficiency of 5%. 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%.