BUILDING INFORMATION MODELING (BIM)-BASED DESIGN OF ENERGY EFFICIENT BUILDINGS

Cho, Chung-Suk,Chen, Don,Woo, Sungkwon Korean Institute of Building Information Modeling 2012 KIBIM Magazine Vol.2 No.1

With the increased awareness of energy consumption as well as the environmental impact of building operations, architects, designers and planners are required to place more consideration on sustainability and energy performance of the building. To ensure most of those considerations are reflected in the building performance, critical design decisions should be made by key stakeholders early during the design development stage. The application of BIM during building energy simulations has profoundly improved the energy analysis process and thus this approach has gained momentum. However, despite rapid advances in BIM-based processes, the question still remains how ordinary building stakeholders can perform energy performance analysis, which has previously been conducted predominantly by professionals, to maximize energy efficient building performance. To address this issue, we identified two leading building performance analysis software programs, Energy Plus and IES <Virtual Environment> (IES <VE>), and compared their effectiveness and suitability as BIM-based energy simulation tools. To facilitate this study, we examined a case study on Building Performance Model (BPM) of a single story building with one door, multiple windows on each wall, a slab and a roof. We focused particularly on building energy performance by differing building orientation and window sizes and compared how effectively these two software programs analyzed the performance. We also looked at typical decision-making processes implementing building energy simulation program during the early design stages in the U.S. Finally, conclusions were drawn as to how to conduct BIM-based building energy performance evaluations more efficiently. Suggestions for further avenues of research are also made.

BUILDING INFORMATION MODELING (BIM)-BASED DESIGN OF ENERGY EFFICIENT BUILDINGS

ChungSuk Cho,Don Chen,Sungkwon Woo 한국BIM학회 2012 KIBIM Magazine Vol.2 No.1

With the increased awareness of energy consumption as well as the environmental impact of building operations, architects, designers and planners are required to place more consideration on sustainability and energy performance of the building. To ensure most of those considerations are reflected in the building performance, critical design decisions should be made by key stakeholders early during the design development stage. The application of BIM during building energy simulations has profoundly improved the energy analysis process and thus this approach has gained momentum. However, despite rapid advances in BIM-based processes, the question still remains how ordinary building stakeholders can perform energy performance analysis, which has previously been conducted predominantly by professionals, to maximize energy efficient building performance. To address this issue, we identified two leading building performance analysis software programs, Energy Plus and IES <Virtual Environment> (IES <VE>), and compared their effectiveness and suitability as BIM-based energy simulation tools. To facilitate this study, we examined a case study on Building Performance Model (BPM) of a single story building with one door, multiple windows on each wall, a slab and a roof. We focused particularly on building energy performance by differing building orientation and window sizes and compared how effectively these two software programs analyzed the performance. We also looked at typical decision-making processes implementing building energy simulation program during the early design stages in the U.S. Finally, conclusions were drawn as to how to conduct BIM-based building energy performance evaluations more efficiently. Suggestions for further avenues of research are also made.

공간정보를 중심으로 재구성한 BIM 기반 형상정보의 자동추출 및 데이터베이스 구축 모듈 개발

최준우,김신,송영학,박경순 대한건축학회지회연합회 2018 대한건축학회연합논문집 Vol.20 No.6

In this paper, in order to maximize the input process efficiency of the building energy simulation field, the authors developed the automatic extraction module of spatial information based BIM geometry information. Existing research or software extracts geometry information based on object information, but it can not be used in the field of energy simulation because it is inconsistent with the geometry information of the object constituting the thermal zone of the actual building model. Especially, IFC-based geometry information extraction module is needed to link with other architectural fields from the viewpoint of reuse of building information. The study method is as follows. (1) Grasp the category and attribute information to be extracted for energy simulation and Analyze the IFC structure based on spatial information (2) Design the algorithm for extracting and reprocessing information for energy simulation from IFC file (use programming language Phython) (3) Develop the module that generates a geometry information database based on spatial information using reprocessed information (4) Verify the accuracy of the development module. In this paper, the reprocessed information can be directly used for energy simulation and it can be widely used regardless of the kind of energy simulation software because it is provided in database format. Therefore, it is expected that the energy simulation process efficiency in actual practice can be maximized. 본 논문에서는 건축 에너지 분야에서 시뮬레이션의 형상과정 입력 프로세스 효율성을 극대화시키기 위해 건물 에너지 시뮬레이션을 위한 공간정보 중심 BIM 물리형상정보 자동추출 모듈 개발하였다. 기존의 연구나 소프트웨어들은 객체정보를 중심으로 형상정보를 추출하나, 이는 실제 건축모델의 열적 존을 구성하는 객체의 형상정보와 불일치 현상이 발생하기 때문에 에너지 시뮬레이션 분야에서는 사용할 수 없다. 특히, 건축정보의 재사용이라는 관점에서 타 건축분야와의 연계가 가능한 IFC 기반의 형상정보 추출 모듈이 필요하다. 연구방법은 다음과 같은 순서를 따른다. (1) 에너지 시뮬레이션을 위해 추출해야하는 형상정보의 항목 및 속성정보들을 파악하고 공간정보를 중심으로 IFC 구조 분석, (2) 에너지시뮬레이션을 위해 필요한 정보를 IFC 파일에서 추출 및 재가공하는 알고리즘 설계(프로그래밍 언어인 Python을 이용), (3) 재가공 된 정보를 이용하여 공간정보 중심의 물리형상정보 데이터베이스를 생성하여 제공하는 모듈 개발, (4) 개발 모듈의 수행 알고리즘에 대한 정확도 검증 수행. 본 논문에서 재가공된 정보는 에너지시뮬레이션에 직접 사용이 가능하며, 데이터베이스 형식으로 제공되기 때문에 에너지 시뮬레이션의 종류에 관계없이 폭 넓게 사용할 수 있다. 이를 통해 실제 실무에서의 에너지 시뮬레이션 프로세스 효율을 극대화할 수 있을 것으로 판단된다.

공공건축물 에너지소비량 관리시스템(PEIS) 정보체계 프로토타입 개발

김덕우(Kim, Deuk-Woo),오세민(Oh, Se-Min),양희연(Yang, Hee-Yeon),이승언(Lee, Seung-Eon) 대한건축학회 2020 대한건축학회논문집 Vol.36 No.9

The importance of improving the energy performance of existing buildings has been emphasized in response to the strengthened national GHG reduction targets and national energy transition policy. In particular, public buildings are actively managed by diverse Korean government ministries. The officer, in each public organization, who manages public buildings should submit annual greenhouse gas emissions and energy consumption of the buildings to each ministry’s information system. However, the submitted information has been duplicated in different systems. To overcome inefficient duplication issue, it is necessary to integrate public building and energy consumption information in one platform. In this study, the prototype of integrated platform specialized for public buildings was designed and implemented based on the national building energy database. Specifically, the platform was designed with the method of primary key matching, which links energy meter to building ledgers automatically and collects building operation information and other diverse information related to energy consumption. The prototype was applied to the Public Building Energy Information System(PEIS) operated by the Korea Infrastructure Safety and Technology Corporation(KISTEC). As a result, it is expected that this platform will contribute to enhancing the work efficiency to manage public building`s greenhouse gas and energy efficiency.

BIM기반 건축물 에너지효율등급인증 업무 지원 시스템 개발

여창재(Chang Jae Yeo),유정호(Jung Ho Yu) 한국퍼실리티매니지먼트학회 2017 한국퍼실리티매니지먼트학회지 Vol.12 No.2

Objective information related to energy simulation is required in the stages of using energy performance program (ECO2) for evaluating the current building energy efficiency rating. However, if 2D drawings are used for evaluating building energy efficiency rating, required information extraction and input are done manually and work hour depends on user’s ability and information are sometimes omitted or errored, which leads to work inefficiency. If such problems are also considered in connection with the changes in design information management environment related to BIM’s extended application as mentioned earlier, problems caused by 2D-based can be solved. In this study, we defined the method of extracting and extractable informationfrom in BIM by analyzing the energy efficiency rating certification work status and related request information. In addition, we propose a method to create and manage information that is not present information in BIM but needs information to be managed by BIM. Also, We proposed a method to modify the BIM can use in the building energy efficiency class certification. Based on this, we developed a system to support the building energy efficiency class certification by using BIM. Through case study, we confirmed that the efficiency of building energy efficiency class certification using BIM is higher than that of existing method. This study is expected to minimize data omission and error in the creating process of input information required for building energy performance evaluation and improve the efficiency of building energy efficiency rating certification tasks by automatizing information input process.

건물 에너지 성능평가를 위한 IFC 기반 외피전개도 요구정보 추출 알고리즘 개발

김준영(Kim, Jun-Young),김창민(Kim, Chang-Min),박창영(Park, Chang-Young),박영준(Park, Young-Joon),최창호(Choi, Chang-Ho) 한국건축친환경설비학회 2018 한국건축친환경설비학회 논문집 Vol.12 No.3

The planar figure of the building envelope constitutes the basic document for building energy performance assessment. When the planar figure of the building envelope is drawn manually, accuracy of the building plan is lower and building energy performance assessment is less efficient. The purpose of this research is to develop an automatic extraction method and algorithm based on IFC that isolates required information from the planar figure of the building envelope, based on building energy performance criteria. To achieve the goal of this research, firstly, required information for building energy performance assessment will be determined and the existing literature review will be analyzed. Secondly, the extraction method and algorithm for required information, based on the planar figure of the building envelope will be developed following building energy-saving design criteria. Thirdly, the extraction method and algorithm for required information, will energy-saving eco-friendly housing construction criteria. The research result will make possible to improve not only the results accuracy of building energy performance assessment but also the process performance through the IFC-based envelop extraction method and algorithm based on the planar figure of the building envelope.

Energy Operation Management for Smart City using 3D Building Energy Information Modeling

정대교,박승희,이동환 한국정밀공학회 2014 International Journal of Precision Engineering and Vol. No.

During the last decade, global interest according to energy efficiency and climate change has dramatically increased. In particular,the building sector plays an important role, as it accounts for significant percentages of total energy consumption. So numerous highenergy efficiency devices have been developed and applied to building. But it is also important that such high energy efficiencyequipment is operated through efficient management. In this paper, through establishing a Building Energy Management System(BEMS) in the test-beds, the energy consumption and environmental data are measured and gathered at a total operation center. Theproposed energy saving technologies would integrate real-time energy consumption monitoring with Building Energy InformationModeling (BEIM). To find an optimal energy-saving method, a building energy simulation was used with Genetic Algorithms. TheHeating Ventilating and Air-Conditioning (HVAC) control schedules were sought. The energy-saving effect of this method is about9.44%. HVAC control schedules can be applied to building, using a function to control facilities in buildings. This energy-saving effectwill be added to the general saving effects for BEMS. It is expected that the proposed energy optimization tool using BEIM will beapplied to the micro-energy grid system for smart city in the near future.

An Electricity Energy and Water Consumption Model for Korean Style Apartment Buildings

Dongjun Suh,Yoon-Sik Yoo,Il-Woo Lee,Seongju Chang 제어로봇시스템학회 2012 제어로봇시스템학회 국제학술대회 논문집 Vol.2012 No.10

This research focuses on building-information related energy consumption estimation modeling by analyzing domestic electricity energy and water consumption data. We identify the elements of apartment buildings which are related to electricity and water use and demonstrate energy consumption forecast based on the proposed model. To verify the patterns of electricity energy and water consumption in relation with apartment buildings, we collect data for one of the apartment complexes in South Korea. Both weather history data including temperature and relative humidity and building information such as floor number and the gross area of apartment units are selected as Building-Information Factors (BIF) to analyze their effects on energy use in apartment buildings. In this paper, we cover annual electricity energy and water consumption among major household utilities that is manipulated by BIF. We conduct Multiple Regression Analysis (MRA) and use neural network-based model such as Multiple-Layer Perceptron (MLP) not only to reveal the relation among the elements such as weather information and BIF toward energy and water consumption model but also to estimate electricity energy and water use forecast. By carrying out this research, the relationship among BIF and energy consumption data sets is turned out to be essential information for establishing a Korean Style Apartment Management Information System as well as establishing a real estate policy on housing prices according to the diversification in floor numbers and gross areas of apartment units.

Energy Operation Management for Smart City using 3D Building Energy Information Modeling

Jung, Dae-Kyo,Lee, Donghwan,Park, Seunghee Korean Society for Precision Engineering 2014 International Journal of Precision Engineering and Vol.15 No.8

During the last decade, global interest according to energy efficiency and climate change has dramatically increased. In particular, the building sector plays an important role, as it accounts for significant percentages of total energy consumption. So numerous high energy efficiency devices have been developed and applied to building. But it is also important that such high energy efficiency equipment is operated through efficient management. In this paper, through establishing a Building Energy Management System (BEMS) in the test-beds, the energy consumption and environmental data are measured and gathered at a total operation center. The proposed energy saving technologies would integrate real-time energy consumption monitoring with Building Energy Information Modeling (BEIM). To find an optimal energy-saving method, a building energy simulation was used with Genetic Algorithms. The Heating Ventilating and Air-Conditioning (HVAC) control schedules were sought. The energy-saving effect of this method is about 9.44%. HVAC control schedules can be applied to building, using a function to control facilities in buildings. This energy-saving effect will be added to the general saving effects for BEMS. It is expected that the proposed energy optimization tool using BEIM will be applied to the micro-energy grid system for smart city in the near future.

A Study on Data Visualization of Embedded Sensors for Building Energy Monitoring using BIM

이동환,차기춘,박승희 한국정밀공학회 2016 International Journal of Precision Engineering and Vol.17 No.6

In recent years, building energy consumption has increased in response to climate change, resulting in a worldwide reduction of energy efficiency. A strong response is required, through both the enhancement of building energy efficiency and the reduction of power usage. These objectives could be achieved by pursuing “Blackout” prevention, through developing a control unit such as that of the urban energy grid system that was used in the Energy Operation Center (EOC) for smart cities. In this context, this paper presents an optimization operation technique for Building Energy Management Systems (BEMS), using control monitor-based Building Information Modeling (BIM) for the efficient operation of the EOC. BIM is one of the approaches that can be used for the visual representation, management, and exchange of information on all aspects of a building. The EOC should be able to efficiently represent the data from the building information, and the operator maintaining it should be able to promptly acquire the data for handling it. This suggests that the control of energy consumption by a Building Automation System (BAS) to maximize building energy efficiency will lead to improved total energy performance, reduced operating costs, and reduced environmental impact.