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Vladimir Bazjanac - One of the best experts on this subject based on the ideXlab platform.
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mvd based information exchange between bim and Building Energy Performance simulation
Automation in Construction, 2018Co-Authors: Sergio Pinheiro, Vladimir Bazjanac, Reinhard Wimmer, James Odonnell, Sergej Muhic, Tobias Maile, Jerome Frisch, Christoph Van TreeckAbstract:Abstract The process of preparing Building Energy Performance simulation (BEPS) models involves repetitive manual operations that often lead to data losses and errors. As a result, BEPS model inputs can vary widely from this time consuming, non-standardised and subjective process. This paper proposes a standardised method of information exchange between Building Information Modelling (BIM) and BEPS tools using the Information Delivery Manual (IDM) and Model View Definition (MVD) methodologies. The methodology leverages a collection of use cases to initiate the identification of exchange requirements needed by BEPS tools. The IDM/MVD framework captures and translates exchange requirements into the Industry Foundation Classes (IFC) schema. The suggested approach aims to facilitate the transfer of information from IFC based BIM to either conventional or advanced BEPS tools (e.g. EnergyPlus and Modelica) through the development of a specific MVD that defines a subset of the IFC data model that deals with Building Energy Performance simulation. By doing so, the potential of BIM-based simulation can be fully unlocked, and a reliable and consistent IFC subset is provided as an input for Energy simulation software.
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ifc bim based methodology for semi automated Building Energy Performance simulation
International Conference on Information Technology, 2008Co-Authors: Vladimir BazjanacAbstract:Building Energy Performance (BEP) simulation is still rarely used in Building design, commissioning and operations. The process is too costly and too labor intensive, and it takes too long to deliver results. Its quantitative results are not reproducible due to arbitrary decisions and assumptions made in simulation model definition, and can be trusted only under special circumstances. A methodology to semi-automate BEP simulation preparation and execution makes this process much more effective. It incorporates principles of information science and aims to eliminate inappropriate human intervention that results in subjective and arbitrary decisions. This is achieved by automating every part of the BEP modeling and simulation process that can be automated, by relying on data from original sources, and by making any necessary data transformation rule-based and automated. This paper describes the new methodology and its relationship to IFC-based BIM and software interoperability. It identifies five steps that are critical to its implementation, and shows what part of the methodology can be applied today. The paper concludes with a discussion of application to simulation with EnergyPlus, and describes data transformation rules embedded in the new Geometry Simplification Tool (GST).
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Impact of the U.S. National Building Information Model Standard (NBIMS) on Building Energy Performance Simulation
Lawrence Berkeley National Laboratory, 2008Co-Authors: Vladimir BazjanacAbstract:IMPACT OF THE U.S. NATIONAL Building INFORMATION MODEL STANDARD (NBIMS) ON Building Energy Performance SIMULATION Vladimir Bazjanac Lawrence Berkeley National Laboratory, University of California, Berkeley, CA 94720, USA ABSTRACT The U.S. National Institute for Building Sciences (NIBS) started the development of the National Building Information Model Standard (NBIMS). Its goal is to define standard sets of data required to describe any given Building in necessary detail so that any given AECO industry discipline application can find needed data at any point in the Building lifecycle. This will include all data that are used in or are pertinent to Building Energy Performance simulation and analysis. This paper describes the background that lead to the development of NBIMS, its goals and development methodology, its Part 1 (Version 1.0), and its probable impact on Building Energy Performance simulation and analysis. professional consortia, the formulation of an open, object oriented, extensible lifecycle data model of Buildings – Industry Foundation Classes (IFC) – and, ultimately, to the concept of Building Information Model (BIM). Fundamentally, a BIM (defined as a noun), is an instance of a populated data model of Buildings that contains multi-disciplinary data specific to a particular Building, which they describe unambiguously. It contains all data that define the Building and are pertinent from the point of view of more than one discipline. A BIM includes all relationships and inheritances for each of the Building components it describes; in that sense it is “intelligent” (Bazjanac 2004). From a general industry point of view, a BIM is a shared digital representation of a Building and its physical and functional characteristics, based on open standards for software interoperability. It contains information supplied by all participants in Building design, procurement and operation, and forms a reliable basis for decisions throughout its lifecycle (Figure 1). It facilitates effective collaboration by different stakeholders at all phases of that lifecycle. The basis for the definition and population of any BIM is a data model of Buildings that all BIM authors and users agree to apply in the case of a particular Building. While proprietary data models of Buildings (usually limited to data definitions that represent only a part of the Building lifecycle) abound, only one data model of Buildings is an open specification that covers the entire lifecycle and is also recognized by the International Standards Organization (ISO/PAS 16739): IFC, developed by the IAI (IAI 2003). The IFC data model itself is too large to implement by any single industry software application. IFC compatible applications implement only those parts of the model that represent industry process or processes and discipline(s) they support. Such model parts are called “model views,” and the IAI has developed a Model View Definition Methodology (MVD) to facilitate their definition (Hietanen 2006). Defining IFC model views involves first the definition of data exchange requirements; the methodology for that was defined as part of the Norwegian Information Delivery Manual project (IDM 2006). KEYWORDS BIM, national standard, data exchange, Building Energy Performance, software interoperability. INTRODUCTION Information technology (IT) professionals who work in the Architecture/Engineering/Construction/ Operations (AECO) industry often define Buildings as enormous collections of data. They treat Buildings as data bases; data bases that they find mostly disorganized, with data that are often repetitive, inconsistent, contradictory, and prone to loss over the lifetime of a Building. The need to organize, systematize and standardize Buildings data, and to make them easily available, reusable and preserved has been long recognized by them. Virtually every discipline in the AECO industry uses software in the conduct of its activities; this includes the Building Energy Performance (BEP) simulation and analysis profession. Each is experiencing serious data exchange problems in the use of its software: inability to directly import data generated by other software (this often results in the need to manually reproduce already existing data that in turn results in errors, data omission and misinterpretation), inability to access already existing data, the resulting excessive cost and time needed for preparation of productive work, and delay in generation and delivery of results (Bazjanac 2002). This has lead to the formation of the International Alliance for Interoperability (IAI) and several other industry and
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Impact of the u.s. national Building information model standard (NBIMS) on Building Energy Performance simulation
IBPSA 2007 - International Building Performance Simulation Association 2007, 2007Co-Authors: Vladimir BazjanacAbstract:The U.S. National Institute for Building Sciences (NIBS) started the development of the National Building Information Model Standard (NBIMS). Its goal is to define standard sets of data required to describe any given Building in necessary detail so that any given AECO industry discipline application can find needed data at any point in the Building lifecycle. This will include all data that are used in or are pertinent to Building Energy Performance simulation and analysis. This paper describes the background that lead to the development of NBIMS, its goals and development methodology, its Part 1 (Version 1.0), and its probable impact on Building Energy Performance simulation and analysis.
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Building Energy Performance simulation as part of interoperable software environments
Building and Environment, 2004Co-Authors: Vladimir BazjanacAbstract:Interoperable software makes it possible to seamlesslyexchange data among di*erent compliant applications. Among other bene,ts, this o*ers opportunities to increase the quality of Building Energysimulation through simultaneous interaction of multiple design and simulation tools, possible because of direct data exchange among them. This paper discusses the new IFC HVAC extension schemata that are included in the latest release of the IFC data model (IFC2 × 2) and the new functionalities and industryprocesses it now supports. It describes an example of interoperable software environment, possible gains from interoperable simulation, and discusses current issues in data exchange for such simulation. Published byElsevier Ltd.
Rachel Kam Yung Sit - One of the best experts on this subject based on the ideXlab platform.
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Analysis of centrifugal chillers with oil-free magnetic bearings for enhancing Building Energy Performance
Science and Technology for the Built Environment, 2017Co-Authors: Fu Wing Yu, Kwok Tai Chan, Rachel Kam Yung SitAbstract:This article examines the actual operating Performance of centrifugal chillers with oil-free magnetic bearings (hereafter oil-free chillers) to analyze Energy saving potentials for commercial Buildings. A chiller system retrofit for a shopping arcade involved replacing three existing constant speed water-cooled centrifugal chillers by three oil-free centrifugal chillers of the same capacity. The coefficient of Performance was calculated based on operating data logged at 1-h intervals for over 1 year before and after replacement. Oil-free chillers with variable speed control operated at a higher coefficient of Performance under part load conditions, reducing the total electricity consumption of the shopping arcade by 9.6%. If the average technical efficiency in data envelopment analysis was improved to 1 from 0.6 in the existing case, the average system coefficient of Performance could increase from 6.2 to 10.3. The improvement involved controlling the temperature of supply chilled water at a lower boundar...
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Performance Evaluation of Oil-free Chillers for Building Energy Performance Improvement
Procedia Engineering, 2015Co-Authors: Fu Wing Yu, Kwok Tai Chan, Rachel Kam Yung Sit, Jihui YangAbstract:This paper investigates how to improve the Energy Performance of central air-conditioning systems by using oil-free chillers. Three conventional water-cooled centrifugal chillers of equal capacity were replaced by three oil-free chillers of the same capacity in an existing system. Operating data for Performance evaluation were logged at 1-hr intervals for over one year before and after the replacement. The superior coefficient of Performance (COP) of oil-free chillers with variable speed control brought an Energy saving of 9.6% in the total electricity consumption of a shopping arcade when they operated for a wide range of system cooling demands. Results of data envelopment analysis gave an average technical efficiency of 0.6 which ascertains an opportunity for Performance enhancement. The system COP can be further improved by tightening the control in the temperature of supply chilled water and implementing even load sharing among chillers to meet the overall system capacity.
Shiming Deng - One of the best experts on this subject based on the ideXlab platform.
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Review on Building Energy Performance improvement using phase change materials
Energy and Buildings, 2018Co-Authors: Mengjie Song, Fuxin Niu, Yanxin Hu, Ning Mao, Shiming DengAbstract:Confronted with the crises of the growing resource shortages and continued deterioration of the environment, Building Energy Performance improvement using phase change materials has received much attention in recent years. This review work provides an update on recent developments, 2004 ∼ 2017, in phase change materials used to optimize Building envelope and equipment. Firstly, a review of Building envelope optimization methods by integrating surrounding wall, roof, and floor with phase change materials, is given. This is followed by reporting articles on Building equipment optimized with phase change materials to reduce regular Energy consumption. Series of air cooling, heating, and ventilation systems coupled with thermal Energy storage were comparatively investigated. Finally, the existing gaps in the research works on Energy Performance improvement with phase change materials were identified, and recommendations offered as authors’ viewpoints in 5 aspects. It was also found that the phase change temperature range of PCMs used was changed from 10 ∼ 39 °C for envelope to −15.4 ∼ 77 °C for equipment. We believe this comprehensive review might provide an overview of the analytical tools for scholars, engineers, developers, and policy designers, and shed new light on the designing and Performance optimization for PCMs used in Building envelope and equipment.
Fu Wing Yu - One of the best experts on this subject based on the ideXlab platform.
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Analysis of centrifugal chillers with oil-free magnetic bearings for enhancing Building Energy Performance
Science and Technology for the Built Environment, 2017Co-Authors: Fu Wing Yu, Kwok Tai Chan, Rachel Kam Yung SitAbstract:This article examines the actual operating Performance of centrifugal chillers with oil-free magnetic bearings (hereafter oil-free chillers) to analyze Energy saving potentials for commercial Buildings. A chiller system retrofit for a shopping arcade involved replacing three existing constant speed water-cooled centrifugal chillers by three oil-free centrifugal chillers of the same capacity. The coefficient of Performance was calculated based on operating data logged at 1-h intervals for over 1 year before and after replacement. Oil-free chillers with variable speed control operated at a higher coefficient of Performance under part load conditions, reducing the total electricity consumption of the shopping arcade by 9.6%. If the average technical efficiency in data envelopment analysis was improved to 1 from 0.6 in the existing case, the average system coefficient of Performance could increase from 6.2 to 10.3. The improvement involved controlling the temperature of supply chilled water at a lower boundar...
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Performance Evaluation of Oil-free Chillers for Building Energy Performance Improvement
Procedia Engineering, 2015Co-Authors: Fu Wing Yu, Kwok Tai Chan, Rachel Kam Yung Sit, Jihui YangAbstract:This paper investigates how to improve the Energy Performance of central air-conditioning systems by using oil-free chillers. Three conventional water-cooled centrifugal chillers of equal capacity were replaced by three oil-free chillers of the same capacity in an existing system. Operating data for Performance evaluation were logged at 1-hr intervals for over one year before and after the replacement. The superior coefficient of Performance (COP) of oil-free chillers with variable speed control brought an Energy saving of 9.6% in the total electricity consumption of a shopping arcade when they operated for a wide range of system cooling demands. Results of data envelopment analysis gave an average technical efficiency of 0.6 which ascertains an opportunity for Performance enhancement. The system COP can be further improved by tightening the control in the temperature of supply chilled water and implementing even load sharing among chillers to meet the overall system capacity.
Constantine E. Kontokosta - One of the best experts on this subject based on the ideXlab platform.
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a market specific methodology for a commercial Building Energy Performance index
Social Science Research Network, 2015Co-Authors: Constantine E. KontokostaAbstract:The scaling of Energy efficiency initiatives in the commercial Building sector has been hampered by data limitations, information asymmetries, and benchmarking methodologies that do not adequately model patterns of Energy consumption, nor provide accurate measures of relative Energy Performance. The reliance on simple metrics, such as Energy Use Intensity (EUI), fails to account for significant variation across occupancy, construction characteristics and other elements of a Building -- both its design and its users -- that influence Building Energy consumption. sing a unique dataset of Building Energy consumption, physical, spatial, and occupancy characteristics -- collected from New York City's Local Law 84 Energy disclosure database, the Primary Land Use Tax Lot Output (PLUTO) database, and the CoStar Group -- this paper analyzes Energy consumption across commercial office Buildings and presents a new methodology for a market-specific benchmarking model to measure relative Energy Performance across peer Buildings. A robust predictive model is developed to normalize across multiple Building characteristics and to provide the basis for a multivariate Energy Performance index. The paper concludes with recommendations for data collection standards, computational approaches for Building Energy disclosure data, and targeted policies using k-means clustering and market segmentation.
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A Market-Specific Methodology for a Commercial Building Energy Performance Index
The Journal of Real Estate Finance and Economics, 2015Co-Authors: Constantine E. KontokostaAbstract:The scaling of Energy efficiency initiatives in the commercial Building sector has been hampered by data limitations, information asymmetries, and benchmarking methodologies that do not adequately model patterns of Energy consumption, nor provide accurate measures of relative Energy Performance. The reliance on simple metrics, such as Energy Use Intensity (EUI), fails to account for significant variation across occupancy, construction characteristics and other elements of a Building – both its design and its users – that influence Building Energy consumption. Using a unique dataset of actual Building Energy use, physical, spatial, and occupancy characteristics – collected from New York City’s Local Law 84 Energy disclosure database, the Primary Land Use Tax Lot Output (PLUTO) database, and the CoStar Group – this paper analyzes Energy consumption across commercial office Buildings and presents a new methodology for a market-specific benchmarking model to measure relative Energy Performance across peer Buildings. A robust predictive model is developed to normalize across multiple Building characteristics and to provide the basis for a multivariate Energy Performance index. The paper concludes with recommendations for data collection standards, computational approaches for Building Energy disclosure data, and targeted policies using k -means clustering and market segmentation.
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from transparency to transformation a market specific methodology for a commercial Building Energy Performance rating system
Social Science Research Network, 2013Co-Authors: Constantine E. KontokostaAbstract:The scaling of Energy efficiency initiatives in the commercial Building sector has been hampered by data limitations, information asymmetries, and benchmarking methodologies that do not adequately model patterns of Energy consumption, nor provide accurate measures of relative Energy Performance. The reliance on simple metrics, such as Energy Use Intensity (EUI), fails to account for significant variation across occupancy, construction characteristics and other elements of a Building – both its design and its users – that influence Building Energy efficiency. Using a unique dataset of Building Energy consumption, physical, spatial, and occupancy characteristics – collected from New York City’s Local Law 84 Energy disclosure database, the Primary Land Use Tax Lot Output (PLUTO) database, and CoStar Group data – this paper analyzes Energy consumption across commercial office Buildings and presents a new methodology for a market-specific benchmarking model to measure relative Energy Performance. A robust predictive model is developed to normalize across multiple Building characteristics and to provide the basis for a multivariate Energy Performance rank. The paper concludes with recommendations for data collection standards, computational approaches for Building Energy disclosure data, and targeted policies using k-means clustering and market segmentation.
