• 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.

• 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.

• 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.

• Land and Housing Review
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• v.2 no.4
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• pp.379-385
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• 2011

Energy consumption of building is given a sizable portion in total national energy conservation and if current trends continues, energy conservation level will rise as level of developed country. For this reason, a basic plan is proposed for integrated management system to manage energy conservation of buildings using a link with energy information and building information. Specifically, the questionnaire investigation conducted by building energy expert is performed to determine the projects along with time schedule and demands level of management system. In addition, to investigate study on energy usage information and management situation the management architecture of energy supplier is also studied.

• 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.

• 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.

• 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.

• 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.

• The Journal of the Korea institute of electronic communication sciences
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• v.19 no.3
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• pp.515-522
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• 2024

Energy consumption is steadily increasing, and buildings in particular account for more than 20% of the total energy consumption around the world. As an effort to cost-effectively manage the energy consumption of buildings, many research groups have recently focused on Smart Building Energy Management Systems (BEMS), which are deepening the research depth by applying artificial intelligence(AI). In this paper, we propose a reinforcement learning-based energy control method for smart energy buildings integrated with V2G station, which aims to reduce the total energy cost of the building. The results of performance evaluation based on the energy consumption data measured in the real-world building shows that the proposed method can gradually reduce the total energy costs of the building as the learning process progresses.

• 한국태양에너지학회:학술대회논문집
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• 2008.11a
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• pp.112-119
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• 2008

In order to ensure building energy management at an appropriate level continuously, it is necessary to define clearly service work of energy management and to suggest evaluation index whether energy management in buildings is fit and improvement is needed or not. But, evaluation index of energy management level in buildings is not suggested yet in Korea. So, the purpose of this paper is to suggest evaluation index of energy management level in buildings, investigate the present state of Korean buildings and evaluate energy management levels. As a result of surveys of evaluation index of energy management, it is found that portion of level 1, which is the best level, is higher than any other level, level 2, level 3. And, throughout analysis, it is found that as total floor area is larger, evaluation index of energy management level is better, and, in order to increase energy management level, first of all, there is necessary for building's users to change understanding about energy saving and make a reform of national policy of energy management in buildings. Because there is rich relationship between items among evaluation index of this stuff and result value of evaluation index, evaluation index of energy management suggested in this study is available to evaluate energy management level in buildings.