• 한국GIS학회:학술대회논문집
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• 한국GIS학회 2010년도 춘계학술대회
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• pp.81-82
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• 2010

전 세계적 경제성장 및 신흥경제국 수요 증가로 에너지 수급 불균형 및 기존 화석연료 과다사용으로 온실가스 배출량도 급격히 증가함에 따라 글로벌 에너지 및 자원 고갈의 위기가 심화되고 있다. 이에 따라 주변 생활환경 개선 및 자연 생태 보존 등을 통해 쾌적한 삶에 대한 요구 충족을 위한 에너지 관리 및 소비의 중요성이 대두되고 있다. 건축분야에서도 에너지 절감에 대한 많은 대책과 연구를 진행하고 있으며 친환경 건축의 에너지 등급과 저에너지 검증을 위해 초기단계부터 에너지 성능분석을 검증할 수 있는 BIM(Building Information Model) 기술 개발 및 상용화를 통해 건물의 에너지 성능을 객관적으로 예측하는 기술을 활용하여 기존건축물에서의 에너지 성능 분석 및 BIM 기반 친환경 건축 프로세스의 가능성을 제시했다. 따라서 본 연구에서는 BIM을 이용한 기존건축물의 에너지 성능 분석을 통해 객관적인 데이터를 수집하고 이를 지도화 하여 에너지 관리의 효율적인 소비 및 관리방안에 대해 연구하고자 한다.

• KEPCO Journal on Electric Power and Energy
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• 제5권3호
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• pp.157-163
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• 2019

현재까지 피크완화 및 에너지 절감을 위해 한국전력공사 120여개 사옥에 K-BEMS (KEPCO Building Energy Management System)가 운영 중이다. 이 시스템은 PV, PCS, BESS, EMS 등으로 구성되어 있으며 건물에너지 수요예측을 기반으로 BESS, PV 등을 활용하여 에너지 관리를 도모하고 있다. 이 시스템은 단기 과거데이터에 신경망기법을 단순 적용하여 수요를 예측함에 따라 예측 정확도가 높지 않고 운영자 수작업을 통한 BESS 충방전으로 피크 저감이 곤란하며 운영 경제성 제고가 어려운 실정이다. 이러한 문제를 해결하기 위해 전력연구원에서는 2016년부터 3년간 연구과제를 수행하였는데 이를 통해 에러를 최소화하며 높은 신뢰도를 가지는 실시간 수요예측기법과 이에 기반한 BESS충방전 최적화 자동화 기술 개발, 성능을 검증하였기에 이를 본 논문에서 소개하고자 한다.

• 한국태양에너지학회:학술대회논문집
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• 한국태양에너지학회 2009년도 춘계학술발표대회 논문집
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• pp.184-189
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• 2009

In order to improve the operation of energy systems, it is necessary for the urban communities to have reliable optimization routines, both computerized and manual, implemented in their organizations. However, before a production plan for the energy system units can be constructed, a prediction of the energy systems first needs to be determined. So, several methodologies have been proposed for energy demand prediction, but due to uncertainties in urban community, many of them will fail in practice. The main topic of this paper has been the development of a method for energy demand prediction at urban community. Energy demand prediction is important input parameters to plan for the energy planing. This paper presents a energy demand prediction method which estimates heat and electricity for various building categories. The method has been based on artificial neural networks(ANN). The advantage of ANN with respect to the other method is their ability of modeling a multivariable problem given by the complex relationships between the variables. Also, the ANN can extract the relationships among these variables by means of learning with training data. In this paper, the ANN have been applied in oder to correlate weather conditions, calendar data, schedules, etc. Space heating, cooling, hot water and HVAC electricity can be predicted using this method. This method can produce 10% of errors hourly load profile from individual building to urban community.

• KIEAE Journal
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• 제15권4호
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• pp.77-84
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• 2015

Purpose: In 2008, As the green growth policy was presented, Green Building is made any effort to propagation. In this paper, the respective technologies that are able to considerably reduce the energy demands for heating, cooling, hot-water, lighting and ventilation among the variety of technologies were selected. Method: Design factors such as (1) External insulation, (2) Triple glazing window, (3) LED lighting, (4) External venetian blind, (5) Geothermal and (6) Heat recovery ventilator were derived. In addition, energy saving effects in terms of energy demand, energy consumption and energy cost were investigated using EnergyPlus, building energy analysis tool. Result : The results were as follows. (1) It can be seen that high insulated triple glazing window, heat recovery ventilator and external insulation technology is excellent for energy demand. (2) Unlike energy demand, saving effect of energy consumption and energy cost was shown in order of Geothermal > Triple Window > Heat recovery Ventilation> Insulation> LED Lighting > EVB Blind.

• Architectural research
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• 제15권4호
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• pp.201-206
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• 2013

Special attention is required for the design of windows due to their high thermal vulnerability. This paper examines the problems that might arise in the application of the u-value, by reflecting the changes in the u-value of the window, depending on the window-to-wall ratio obtained in an energy demand analysis. Research indicates that the u-value of a window increases with an increase in the difference between the u-values of the frames and the glass. Relative to the changes in the u-value of the windows, the energy demand varied from 1.3% to 9.3%. Windows with a g-value of 0.3 or 0.5 displayed a higher energy demand than windows with a g-value of 0.7. Therefore, when the difference between the performance of the glass and the frame is significant, especially when the g-value is small, a modified heat transmission coefficient should be applied to the window size during the evaluation of the building energy demand.

• 설비공학논문집
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• 제29권1호
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• pp.29-37
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• 2017

Hospitals contribute to energy consumption and have a negative environmental impact. This study aims to find how meaningful energy performance, reflecting good energy management and design, can be planned for hospital buildings, a category encompassing complex buildings with different setups and large differences between them. Energy-consumption characteristics were surveyed throughout Korea to establish statistical energy models. Findings confirm that different hospital departments have hugely different energy-demand profiles. Energy efficiency and energy-saving potentials on HVAC systems are presented. The energy performance analysis can be applied to a wide range of problems in energy-system design and planning, including simulations and optimizations of community energy systems.

• 한국태양에너지학회 논문집
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• 제29권3호
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• pp.37-44
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• 2009

The field-surveyed and measured energy consumption data is processed to develop building energy demand models for heating, hot water, cooling, and electricity. The load models are systematically organized as a database and hourly loads for a span of year (8760 hours) are generated by the program. Rased on those models a Microsoft Access application program is developed to calculate energy demands for a Community Energy System (CES) composed of 17 types of buildings. User-friendly interfaces are provided to assist non-expert end users and necessary tools to link the calculation results to subsequent coagulations such as operation simulation or economic assessment.

• 설비공학논문집
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• 제23권9호
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• pp.633-638
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• 2011

Increasing demand for comfortable indoor environment and air-conditioning demand is also increasing. Building energy consumption in university which is made up of many different kinds factor was researched. Central control air-conditioning systems are being replaced with individually controlled air-conditioning system. The amount of growth of electricity consumption is due to the increasing demand of EHP. Conversely, the demand for absorption chiller-heater is shrinking. Winter and in summer a lot of electricity and gas usage. On the other hand, showed less energy in spring and autumn. Increase the amount of electricity than the degree of decline in gas consumption was higher. Can be considered as transitional phenomena. Because EHP and the absorption chiller-heater are used at the same time in some of the buildings. To use energy efficiently is needed additional research about environmental impact, economic evaluation.

• 대한설비공학회:학술대회논문집
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• 대한설비공학회 2006년도 하계학술발표대회 논문집
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• pp.959-964
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• 2006

Recently, an international oil price shows fluctuation in 70 dollars per barrel and it is said that this trend is able to continues for much longer. Because energy consumption in buildings accounted for about 25% of the nation's total demand for energy, Energy censervation and efficiency of buildings were very important issues. Main political measures relating to building energy use and saving were 'the system of accrediting green building', 'building energy certification system', 'energy consumption efficiency rating indication system', 'building energy code', 'high efficient energy materials certification system'. This paper presents approaches to improve building energy efficiency policy.

• 한국산학기술학회논문지
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• 제14권9호
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• pp.4610-4615
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• 2013

본 연구에서는 중앙냉방시스템용 모형실험장치를 구성하여 에너지 소비량 및 전력사용요금의 절감을 위한 최적제어방법을 구현하여 실험적 연구를 수행하였다. 최적제어방법으로는 새벽시간의 예냉을 이용한 전력디맨드 응답제어와 외기온도변화를 고려한 외기보상제어방법 등을 고려하였으며, 제어알고리즘은 LabVIEW 프로그램을 이용하여 작성하였으며, 제어 및 모니터링을 통해 최적제어방법과 기존제어방법과의 제어성능을 비교 고찰하였다. 연구결과로서 본 연구에서 제시한 최적제어방법이 기존제어방법에 비해 양호한 응답특성을 나타냈으며, 에너지소비량은 약 9.5%, 전력요금은 약 15.7%를 각각 절감한 것으로 나타났다.