• KSCE Journal of Civil and Environmental Engineering Research
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• v.33 no.3
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• pp.1235-1242
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• 2013

This study deals with the BIM (Building Information Modeling)-based energy performance analysis implemented in EnergyPlus. The BIM model constructed at Revit is updated at Design Builder, adding HVAC models and converted compatibly with the EnergyPlus. We can obtain the input values about HVAC system and building environment such as HVAC system efficient, the number of air changes and energy consumption of equipment on applying GAs (Genetic algorithms). After modification about HVAC system, Optimization about HVAC system energy consumption can be analyzed. In order to maximize the building energy performance, a genetic algorithm (GA)-based optimization technique is applied to the modified HVAC models. Throughout the proposed building energy simulation, finally, the best optimized HVAC control schedule for the target building can be obtained in the form of "supply air temperature schedule". Throughout the supply air temperature schedule is applied to energy performance simulation, we obtained energy saving effect result on simulation.

• Proceedings of the Korean Society of Computer Information Conference
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• 2016.07a
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• pp.13-15
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• 2016

에너지 소비가 큰 건물은 내부 온/습도, 이산화탄소 농도, 미세먼지 농도 등의 일정 공기 질을 유지하면서 에너지 비용을 최소화할 수 있는 제어계획을 수립하는 것이 필요하다. 기존 건물에서 실내 환경의 운영은 설정된 실내 환경 값을 기준을 벗어나면 설비 기기를 제어하는 방식으로 이루어진다. 이는 단 시간에 고에너지를 투입하여 장비를 가동시키므로 에너지 소모가 크며 peak 전력이 높아 에너지 비용이 크다는 문제가 있다. 따라서 온도를 포함한 환경이 변해가는 상황을 예측하고 사전에 에너지 사용 계획을 수립하여 관리 제어를 수행함으로써 예열부하 등의 불필요한 에너지 손실을 절감하려 한다. 이를 위해 실내 환경이 변화하는 것을 예측하고 후보 제어계획으로 제어를 수행할 때 소요되는 에너지가 어느 정도인지 시뮬레이션하여 제어계획의 적합도를 평가한다. 기존 EnergyPlus와 같은 시뮬레이션 도구는 모델이 복잡하여 시뮬레이션에 많은 시간이 필요하기 때문에 환경 변화를 반영하기 위해 주기적으로 재수립되는 수많은 제어계획 데이터를 단시간에 시뮬레이션하기에 부적합하다. 본 논문에서는 빠른 시뮬레이션을 위해 실제 운영 데이터와 에뮬레이션을 통해 획득한 운영 데이터를 기반으로 학습 알고리즘을 이용하여 제어계획 적용 시의 미래 상황을 예측한다.

• Land and Housing Review
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• v.1 no.1
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• pp.19-25
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• 2010

Thermal comfort provide satisfaction of thermal environment and affects productivity of occupants in residential building. However, temperature control can not provide the thermal comfort at all the time. because thermal comfort is influenced by many environmental variables such as temperature, relative humidity, air velocity, radiation temperature, activity level and clothing insulation. The purpose of this study is that predicted mean vote(PMV) index is used as control. And, Thermal comfort is evaluated both PMV control and temperature control by simulation. Each other cases were compared, in which set-point temperatures of $22^{\circ}C$ and $24^{\circ}C$ and, set-point PMV index through the respective heating season in the simulation. The results show that PMV control is better to maintain comfort state and save energy than temperature control.

• Journal of Energy Engineering
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• v.21 no.3
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• pp.211-220
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• 2012

In study to investigate losing energy of building in window, we analyze the heating loss parts in the material of structure throughout modeling of window system. Also, by making modeling in the building using simulation, we investigate the heating load variation of building in window. According to the type of windows and the material of structure, we analyze the energy variation of building and a temperature variation.

• KIEAE Journal
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• v.15 no.6
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• pp.47-56
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• 2015

Purpose and Method: Despite benefits of building energy simulations, practitioners seem to be reluctant to use simulations for design decision making. By means of survey and interviews, this study aims to investigate domestic hindrance against increasing simulation usability, and to collect user requirement to enhance technical functionality of the simulation. Also this study compares the Information Sharing Workflow by Stantec and general domestic design process in order to identify a direction of the Integrated Design Process. Result: Finally this study wraps up with suggestions of how simulation functionality and use protocol should be in order to satisfy user requirement and also to gather more users.

• Korean Journal of Air-Conditioning and Refrigeration Engineering
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• v.20 no.3
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• pp.155-166
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• 2008

The performance evaluation of a new building is becoming more important because efficient design alone is often not sufficient to deliver an efficient building. However, there is a lack of standard evaluation methods to measure the energy performance of a new construction that has Energy Conservation Design Measures(ECDMs). This study presents an enhanced method based on calibrated whole-building simulation for evaluating the energy performance of new commercial buildings and demonstrates its use using a case-study building, including: an Energy Use Index(EUI) comparison with sub-metered data and an evaluation of the performance of specific ECDMs. The use of this method has determined that the case-study building was shown to use approximately 47% less energy than the base-case building that has the same shape and function as the case-study building(i.e., calibrated as-built simulation mode]), but doesn't include the simulated ECDMs.

• Solar Energy
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• v.10 no.2
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• pp.10-17
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• 1990

Short-term tests were conducted on a house at KIER, Daejon for its thermal performance evaluation. The test procedure and data analysis were made according to the PSTAR method. Each test period was 3 days during which the building was unoccupied. The data measured with 8 channels were used to renormalize an audit based simulation model of the house. The following are the key parameters obtained in the present analysis: 1) the building loss coefficient(skin conductance plus infiltration conductance during coheating period); 2) the effective building heat capacity; and 3) the effective solar gain. An estimation of total heat required to maintain a standard level of comfort during a typical winter season is also calculated on the basis of the renormalized simulation model and typical long term weather data.

• Proceedings of the Korea Water Resources Association Conference
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• 2023.05a
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• pp.396-396
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• 2023

기후 위기에 대한 대응으로 현재 많은 국가에서 2050년 탄소중립을 목표로 하고 있으며, 우리나라도 2050년까지 탄소중립을 선언하고 다양한 부문의 배출 절감 계획을 내세웠다. 현재 건물 부문에서는 2050년의 목표배출량을 6.2 백만톤 CO2eq으로 설정하고 관련 정책적 수단을 검토 중이지만 달성 방안 등에 대해서는 구체적으로 제시하지 못하고 있다. 본 연구에서는 국내 건물 부문의 이산화탄소의 배출량 산정 모델을 개발하여, 2050년까지 이산화탄소 배출 저감 시나리오를 시뮬레이션하였다. 이를 토대로 국내의 건물 부문 탄소중립 가능성을 검토한 통합 시나리오를 제시하고, 향후 정책 및 기술 개발의 방향성을 제시한다. 탄소배출량 산정모델은 연면적 예측 및 사용 에너지의 원단위 환산, 탄소배출계수 등을 고려해 개발하였고, 이를 활용하여 4가지 탄소배출 시나리오를 분석하였다. 먼저 현재 정책 기반 탄소 배출 시나리오는 탄소중립에 이르지 못하여 더 강화된 시나리오의 필요성을 보여준다. 신규 건물을 대상으로 한 제로 에너지화 제도 기반 시나리오는 전체 탄소배출량에 큰 기여를 하지 못하며, 기존 건물 대상의 그린 리모델링 제도 기반 시나리오에서는 10년 이상 건물에 50% 이상의 높은 에너지 효율 개선을 시행해야 한다는 결과를 도출하였다. 또한 전기화 시나리오에서는 화석연료와 전력의 탄소배출계수를 비교하여 적절한 에너지 전환 시점을 계산하였다. 그 결과, 건물 부문에서 2050년까지 탄소배출량 감축 목표 달성을 위해 신축 건물의 에너지 자립율 100%, 에너지 전환 계획과 연동한 건물의 전기화, 그리고 그린리모델링을 통한 효율 개선 기준을 47% 이상 달성하는 조건을 만족해야 한다는 결과를 얻었다. 이 연구는 도전적인 온실가스 감축 마련의 필요성을 제시하였으며, 탄소중립 가능성을 제시하여 실질적인 감축정책에 기여할 것으로 기대한다.

• Korean Journal of Air-Conditioning and Refrigeration Engineering
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• v.21 no.1
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• pp.9-15
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• 2009

There are various types of energy simulation tool to predict both thermal load and energy use. However, the problem about these software is that they have too much input variables and need expert with skills to run the simulation. Therefore, the purpose of this study is to develop the thermal analysis simulation program with input variables which eliminates coordinates of building components instead of using full coordinates by using DOE2. Since the simulation engine of the program is DOE2, the validity of S-DOE is performed by comparing peak heating and cooling load results with VisualDOE and annual energy use results with actual energy use of 1996. The results have shown that there are little difference between VisualDOE and S-DOE. Also it showed that there are little difference between actual energy use and S-DOE energy use results. S-DOE took less time to model a building than VisualDOE. These results reveals that the application of S-DOE have potentials in accurately predicting both energy load and energy use of the building and still have an advantage of taking less time to model a building.

• Journal of the Korean Society for Geothermal and Hydrothermal Energy
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• v.17 no.1
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• pp.1-13
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• 2021

Before newly-built building and building remodeling, it is important to predict and analyze building energy performance through energy simulation programs. Nevertheless, simulation results widely vary depending on individual user experience and input values. Therefore, this study uses prototypical building model, a versatile tool in building energy modeling, simulation and research for researchers and policy-makers, and ASHRAE standards. Then, it analyzed the changes in design type (roof type, number of floors) for the base case. As the result, it was found that the gap of annual energy demand per between them is maximally 9.1%.