• Title/Summary/Keyword: building energy management system

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A Case Study of Electricity Usage Monitoring for Deterioration and Economic Analysis of Main Equipment in University Laboratory

  • Park, Jun-Young;Lee, Chun-Kyong;Park, Tae-Keun
    • International conference on construction engineering and project management
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    • 2015.10a
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    • pp.706-707
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    • 2015
  • Our country is aiming at 30% reductions in building energy consumption accounting for 39% of the total energy consumption by 2020[1]. For this purpose, the government is developing and applying the Building Energy Management System (hereinafter, referred to as "BEMS", Smart plug, etc.) while the researches on new renewable energy development. BEMS, which is applied with focus on large buildings, is inducing energy management of the entire building through energy measurement and data management, but considering its economic efficiency, it's very difficult to apply BEMS to small & medium-size buildings. Hereupon, this study intends to implement the case analysis of deterioration and economic efficiency of major equipment in buildings on the basis of electricity consumption which has been measured targeting small & medium-size buildings for a certain period by taking into account that equipment deterioration is a contributor to the increase in energy consumption.

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A Study for Space-based Energy Management System to Minimizing Power Consumption in the Big Data Environments (소비전력 최소화를 위한 빅데이터 환경에서의 공간기반 에너지 관리 시스템에 관한 연구)

  • Lee, Yong-Soo;Heo, Jun;Choi, Yong-Hoon
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.13 no.6
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    • pp.229-235
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    • 2013
  • This paper proposed the method to reduce and manage the amount of using power by using the Self-Learning of inference engine that evolves through learning increasingly smart ways for each spaces with in the Space-Based Energy Management System (SEMS, Space-based Energy Management System) that is defined as smallest unit space with constant size and similar characteristics by using the collectible Big Data from the various information networks and the informations of various sensors from the existing Energy Management System(EMS), mostly including such as the Energy Management Systems for the Factory (FEMS, Factory Energy Management System), the Energy Management Systems for Buildings (BEMS, Building Energy Management System), and Energy Management Systems for Residential (HEMS, Home Energy Management System), that is monitoring and controlling the power of systems through various sensors and administrators by measuring the temperature and illumination.

Design for Building and Enviromental Management System using the renewable energy (신재생에너지를 이용한 Building Energy and Environment Management System 설계)

  • Je, Eun-Jin;Sim, Hyun-Seok;Kim, Ji-Ho
    • Proceedings of the Korea Information Processing Society Conference
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    • 2011.04a
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    • pp.1068-1070
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    • 2011
  • 건물 부문의 에너지 절약방안으로 신재생에너지를 이용한 에너지 관리 시스템을 제안하고자 한다. 신재생에너지를 이용한 BEMS(Building and Enviromental Management System)를 설계하고, 이것을 구현하기 위한 Software Framework 를 설계한다.

Development of Independent 1 kW-class PEMFC-Battery Hybrid System for a Building (건물용 독립형 1kW급 PEMFC-배터리 하이브리드 시스템 기술 개발)

  • Yang, Seug Ran;Kim, Jung Suk;Choi, Mi Hwa
    • KEPCO Journal on Electric Power and Energy
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    • v.5 no.2
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    • pp.113-120
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    • 2019
  • We have developed 1 kW-class PEMFC-battery hybrid system independently powering to the building, through the process of system design, current load characteristics analysis, power system configuration for demonstration site and performance evaluation. In order to use the fuel cell and battery as the hybrid type, a control technology for the charging/discharging decision and charging speed of the battery is required rather than using fuel cell. Also output power distribution between PEMFC and the battery is a core of energy management technology. It is confirmed that it is possible to supply independently 1kW powering the building to ensure optimal energy management through the power control experiment of the hybrid system.

Energy Demand Management Algoritm for Buildings and Application Procedure (건물군 에너지 수요관리 알고리즘 및 적용 절차)

  • Kim, Jeong-Uk
    • Journal of Energy Engineering
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    • v.25 no.2
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    • pp.79-85
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    • 2016
  • This paper presents an advanced energy demand management for buildings. It is important to aggregate a various demand side resource which is controllable on demand response environment. Previous demand side algorithm for building is mostly restricted on single building. In this paper, we suggest energy demand management algorithm for many buildings. And, this paper shows the procedure to apply suggested demand management algorithm.

Power Consumption Management Algorithm Based on OpenADR (OpenADR 기반의 전력사용량 관리 알고리즘)

  • Kim, Jeong-Uk
    • Journal of Institute of Control, Robotics and Systems
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    • v.22 no.12
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    • pp.991-994
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    • 2016
  • This paper presents a load management method based on OpenADR of smart grid. Previous demand side algorithm is restricted on reducing peak power. But, in this paper we suggest a method of performing the energy-saving control according to the power price utilizing building automatic control system installed on the customer side in the case of hourly differential pricing signal is transmitted to the open automated demand response system. And, we showed the integrated demand management software for 3 buildings.

Dynamic Thermal Model of a Lighting System and its Thermal Influence within a Low Energy Building

  • Park, Herie;Lim, Dong-Young;Choi, Eun-Hyeok;Lee, Kwang-Sik
    • Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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    • v.28 no.1
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    • pp.9-15
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    • 2014
  • This paper focuses on the heat gain of a lighting system, one of the most-used appliances in buildings, and its thermal effect within a low energy building. In this study, a dynamic thermal model of a lighting system is first established based on the first principle of thermodynamics. Then, thermal parameters of this model are estimated by experiments and an optimization process. Afterward, the obtained model of the system is validated by comparing simulation results to experimental one. Finally it is integrated into a low energy building model in order to quantify its thermal influence within a low energy building. As a result, heat flux of the lighting system, indoor temperature and heating energy demands of the building are obtained and compared with the results obtained by the conventional model of a lighting system. This paper helps to understand thermal dynamics of a lighting system and to further apply lighting systems for energy management of low energy buildings.

Sustainable Smart City Building-energy Management Based on Reinforcement Learning and Sales of ESS Power

  • Dae-Kug Lee;Seok-Ho Yoon;Jae-Hyeok Kwak;Choong-Ho Cho;Dong-Hoon Lee
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.17 no.4
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    • pp.1123-1146
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    • 2023
  • In South Korea, there have been many studies on efficient building-energy management using renewable energy facilities in single zero-energy houses or buildings. However, such management was limited due to spatial and economic problems. To realize a smart zero-energy city, studying efficient energy integration for the entire city, not just for a single house or building, is necessary. Therefore, this study was conducted in the eco-friendly energy town of Chungbuk Innovation City. Chungbuk successfully realized energy independence by converging new and renewable energy facilities for the first time in South Korea. This study analyzes energy data collected from public buildings in that town every minute for a year. We propose a smart city building-energy management model based on the results that combine various renewable energy sources with grid power. Supervised learning can determine when it is best to sell surplus electricity, or unsupervised learning can be used if there is a particular pattern or rule for energy use. However, it is more appropriate to use reinforcement learning to maximize rewards in an environment with numerous variables that change every moment. Therefore, we propose a power distribution algorithm based on reinforcement learning that considers the sales of Energy Storage System power from surplus renewable energy. Finally, we confirm through economic analysis that a 10% saving is possible from this efficiency.

Architecture Study for SDDC BAS (SDDC BAS의 아키텍처에 관한 연구)

  • Kim, Jeong-Uk
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.16 no.1
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    • pp.646-651
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    • 2015
  • In this paper, we analyze the architecture of a typical building automation systems and control points in the network architecture, interoperability, and performance aspects. We proposed a new virtualization-based point-to-point automatic control system that is connected to a high speed wired system. Cloud computing based automation system enables the user based environment control, and may perform a building energy management performance through the improvement of the building automation system efficiently In addition, the virtualization system makes it possible to perform the management of the group building load management operators efficiently.

A Study on the Status of Energy Usage and Maintenance of Building Energy Management System in School Facilities (학교시설의 에너지사용 및 건물에너지관리시스템 유지관리 현황에 관한 연구)

  • Kim, Sung-Joong;Lee, Seung-Min
    • The Journal of Sustainable Design and Educational Environment Research
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    • v.21 no.2
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    • pp.25-35
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    • 2022
  • With the enactment of the "Framework Act on Carbon Neutrality and Green Growth to Cope with Climate Crisis," various sector-specific plans are being implemented to achieve carbon neutrality. School facilities are mandatory buildings for the "Zero Energy Building Certification" and are the buildings that account for the highest proportion among public institution buildings. Therefore, they play a major role in achieving carbon neutrality in the construction sector. This study analyzed the recent energy use trends and zero energy levels in varied ways to promote the spread of building energy management systems and to provide basic data for efficient operation management and investigated the effectiveness and user opinions of the Building Energy Management System (BEMS) applied to school facilities.