• Journal of the Korea institute for structural maintenance and inspection
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• v.17 no.2
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• pp.101-109
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• 2013

Recently, it is certain that the increase of heating and cooling energy consumption by radical change in climate condition has caused serious problems related to environmental and energy concerns associated with increase of fossil fuel usage and carbon dioxide production as well as global warming. So, various actions to reduce greenhouse gas exhaustion and energy consumption have been prepared by world developed countries. Our government has also been trying to seek energy control methods for houses and buildings by proclaiming political polices on low-carbon green growth and construction and performance standards for environment-friendly housing. The energy consumption by buildings approximately reaches 25% of total korea energy consumption, and the increasing rate of energy consumption by buildings is stiffer than the rate by the other industries. The greatest part in the buildings of the energy consumption is building facade. While lots of research projects for reducing energy consumption of the facade have been conducted, but a few research projects on concrete comprising more than 70% of outsider of buildings has been tried. This research presents here a study to improve the insulation property of structural concrete formed by micro form admixture (MFA) with experimentally reviewing the physical, mechanical and thermal characteristics of the concrete. As the results of this experiment, in the case of concrete mixed with MFA, slump loss has been improved. As the mixing ratio of MFA increases, the compressive strength is decreased and thermal conductivity is increased. Also it was found that water-cement ratio increases, the compressive strength is decreased and thermal conductivity is increased. but, there was not big influence by the change of fine aggregate ratio.

• Electronics and Telecommunications Trends
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• v.39 no.4
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• pp.32-41
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• 2024

Building energy management plays a crucial role in improving energy efficiency and optimizing energy usage. To achieve this, it is important to monitor and analyze energy-related data from buildings in real time using sensors to understand energy consumption patterns and establish optimal operational strategies. Because of the uncertainties in building energy-related data, there are challenges in analyzing these data and formulating operational strategies based on them. Artificial intelligence (AI) technology can help overcome these challenges. This paper investigates past and current research trends in AI technology and examines its future prospects for building energy management. By performing prediction and analysis based on energy consumption or supply data, the future energy demands of buildings can be forecasted and energy consumption can be optimized. Additionally, data related to the surrounding environment, occupancy, and other building energy-related factors can be collected and analyzed using sensors to establish operational strategies aimed at further reducing energy consumption and increasing efficiency. These technologies will contribute to cost savings and help minimize environmental impacts for building owners and operators, ultimately facilitating sustainable building operations.

• Journal of Energy Engineering
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• v.24 no.2
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• pp.45-50
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• 2015

In Korea ranking sixth out of The world's greenhouse gas emissions, all Korean public buildings have to implement obligatorily renewable energy systems for energy production to reduce the greenhouse gas emissions from the energy consumed in operation, maintenance and management of buildings. The optimum combination and application rates for each energy source emerge from analyzing the trend of previous studies and the energy consumption is simulated by using a dynamic energy simulation program and the initial investment costs, the energy costs, the maintenance costs, the replacement costs emerge based on the calculated result. The result show that the total life cycle cost of 100% gerthermal is the lowest with \ 2,105,974,344 on the analysis results.

• 보일러설비
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• s.86
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• pp.80-83
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• 2001

그린빌딩이란 ‘에너지절약과 환경보전을 목표로 에너지 절약(Energy), 고효율설비, 자원재활용, 환경공해 저감기술등을 적용하여 자연친화적(Ecology)으로 설계 건설하고 유지 관리한 후, 건물의 수명이 끝나 해체될 때까지도 환경에 대한 피해가 최소화되도록 계획된 건축물을 말한다.

• The Journal of Bigdata
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• v.6 no.1
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• pp.127-132
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• 2021

Korea is both a resource-poor country and a energy-consuming country. In addition, the use and dependence on electricity is very high, and more than 20% of total energy use is consumed in buildings. As research on deep learning and machine learning is active, research is underway to apply various algorithms to energy efficiency fields, and the introduction of building energy management systems (BEMS) for efficient energy management is increasing. In this paper, we constructed a database based on energy usage by device per household directly collected using smart plugs. We also implement algorithms that effectively analyze and predict the data collected using RNN and LSTM models. In the future, this data can be applied to analysis of power consumption patterns beyond prediction of energy consumption. This can help improve energy efficiency and is expected to help manage effective power usage through prediction of future data.

• 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.

• Electric Engineers Magazine
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• v.247 no.3
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• pp.18-21
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• 2003

ESCO는 제3자의 에너지사용시설에 선투자한 후 이 투자시설에서 발생하는 에너지절감액으로 투자비와 이윤을 회수하는 기업으로서 에너지사용자는 투자 위험없이 에너지절약 시설투자가 가능하고 ESCO는 투자수익성을 보고 투자위험을 부담하는 벤처형사업으로 정의된다.

• The Magazine for Energy Service Companies
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• s.48
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• pp.28-29
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• 2007

진성훈(㈜에스코프로 진단사업본부장)씨는 매일 아침을 에너지관리공단 정보교류센터 홈페이지로 시작한다. 건물이나 산업공정의 에너지절약설비에 대한 회원들의 질문에 답변을 다는 일이다. 매일 10분씩, 하루도 거르지 않고 에너지지식정보교류의 장을 열어가고 있는 진 씨를 만났다.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.8
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• pp.5591-5599
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• 2015

For the effective energy management, this study proposed BIM(Building Information Modeling)-based Data Mining Model(B-DMM). To conduct this, BIM-based data mining researches were surveyed then the use-cases and scenarios related to the energy management were analyzed. By using this results, B-DMM for supporting the decision making related the energy management was proposed. The output will be used as a decision making tool for managing a building energy.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.41 no.7
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• pp.765-767
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• 2016

Building Energy commissioning is a process in which verifying and making the document during entire lifetime including planning, design, construction, test run of equipment, and maintenance to minimize the operational problems of building energy efficiency. The general commissioning is replacing the equipment or reconstructing the skin to achieve the performance for the design. This process is expensive and has the disadvantage of taking a long payback period by one operation. In this paper, we studied the monitoring-based commissioning (MBCx) to increase the energy efficiency of buildings through analyzing energy use data. MBCx is modeling a building energy, comparing the real energy use with it, detecting the cause of falling the efficiency, and running the optimal operation regularly.