BIM IFC information mapping to building energy analysis (BEA) model with manually extended material information

Kim, Hyun‐Joo; Shen, Zhenhua; Kim, Inhan; Kim, Karam; Stumpf, Annette L.; Yu, Jungho

doi:10.1016/j.autcon.2016.04.002

Cited by 78 publications

(44 citation statements)

References 13 publications

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“…Extant literature (see Kang & Hong, 2015;Pärn & Edwards, 2017;Park & Cai, 2017) also examined the influence of BIM at the facility management stage of the building lifecycle. Also, some empirical studies (see Ham & Golparvar-Fard, 2015;Ilhan & Yaman, 2016;H. Kim et al, 2015;Kim, Jeong, Clayton, Haberl, & Yan, 2015; argued for the enrichment of BIM to aid sustainable development.…”

Section: Bim Adoption For Construction Project Managementmentioning

confidence: 99%

Building Information Modelling and Project Information Management Framework for Construction Projects

Olawumi

Chan

2019

Journal of Civil Engineering and Management

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The study aims to develop an effective BIM-project information management framework (BIM-PIMF) and associated assessment model for construction projects with a view to enhancing the functional management of project information. An explanatory case study technique and case study evidence from four BIM construction projects form the study’s research design. The study identified and established the three sub-criteria of the BIM-PIMF model which are the BIM process level factors, BIM product level factors, and the key indicators for a successful BIM deployment on construction project sites. These criterias were semantically linked to the development of the BIM-PIMF framework on a five-point metric scale. The deliverables of this study include the development of the BIM-PIMF framework, together with its analytical scoring system. The findings of the study will improve the information channels of and ease the integration of technological innovations in construction processes while improving the technical competencies of project staff. The study highlighted a basket of effective recommendations and strategies to enhance the deployment of BIM throughout a project lifecycle. Policymakers and government departments can utilize the model in assessing the level of usage of BIM in a construction project as one of the useful measures in gauging which construction firms to be provided subsidies.

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Section: Bim Adoption For Construction Project Managementmentioning

confidence: 99%

Building Information Modelling and Project Information Management Framework for Construction Projects

Olawumi

Chan

2019

Journal of Civil Engineering and Management

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“…This versatility makes them ideal for designing a building integrated greenhouse that would need all these systems. In addition, it has intelligent objects [75], and customization of these tools can improve the design process efficiency, and minimises designers' efforts on additional and recurring activities. BIM provides significant benefits to the facility designers and owners and users such as solar and energy analysis, better environment, water efficiency and owner's satisfaction [74,76].…”

Section: Building Information Modelling (Bim)mentioning

confidence: 99%

Building integrated agriculture information modelling (BIAIM): An integrated approach towards urban agriculture

Khan

Aziz

Ahmed

2018

Sustainable Cities and Society

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Urbanisation is transforming human societies in many ways. Besides bringing benefits to people in cities, it also has negative impacts such as food security. One way to meet the challenge is urban agriculture; however, traditional agricultural practices are not suitable within urban areas due to limited availability of land. Therefore, the alternative option is to grow crops inside or on top of buildings, e.g. building integrated agriculture (BIA). But, there is limited research and information available for designers and planners to design such buildings. The presented research project bridges the gap between agriculture and architecture by proposing a building integrated agriculture information modelling tool in integration with Building information modelling. The plugin tool has data on plants' requirements and automatic response to environmental factors. Environmental factors include temperature, light, water, nutrients, air, humidity, spacing and support. In this paper, seasonal tomato is selected as a reference crop, and the impact of environment (temperature, light, water, nutrients and spacing) on its health is discussed and simulated for germination stage. The undertaken project contributes to the concept of BIA and BIM maturity level, which would help to design an optimum environment building for plants.Historically, these practices have been used in many countries, while developed countries have also started taking interest due to increasing food security problems [19]. However, in urban regions, available land is limited therefore UA can be in two ways: open rooftop farming; or high-tech controlled environment agriculture (CEA) [20], which provides ultimate results by providing optimum conditions [21].CEA has been adopted to cultivate off-season crops and producing high-quality crops [22]. Though, for controlled environment building integrated agriculture (BIA), there is limited literature available. The key issue is the structural design of such modern BIA design; where the information on the plant-environment relationship is not available on state-of-the-art building designing tools [23][24][25]. For such practices to be possible, experts from various disciplines, i.e. agriculture, agronomy, architecture, urban planning, engineering, economics and public health will have to come together and work collaboratively [26]. Such intelligent collaborative platforms are also known as Building information modelling (BIM). BIM is a methodology, comprised of processes to generate and manage the information of building or group of buildings [27]. BIM can also be defined as "modelling technology and associated set of procedures to produce, communicate and analyse models" [28]. BIM tools get people and information working together effectively and efficiently through defined processes and technology [29]. Most of the developed countries have been using these tools for improvement in productivity and cost-savings throughout all stages of architectural, engineering and construction (AEC) industry [30]. Therefore, BI...

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“…Hu et al [22] proposed an IFC-based Unified Information Model with conversion algorithms between the architectural and structural models, and among various structural analysis models. Besides the structural domain, other business tasks also need to extract information from upstream models, e.g., energy simulation [23], construction schedule [24], etc. The aforementioned studies mainly extract the required information for specific business tasks.…”

Section: Introductionmentioning

confidence: 99%

Generic Language for Partial Model Extraction from an IFC Model Based on Selection Set

2020

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During data sharing and exchange of building projects, the particular business task generally requires a part of the complete model. This paper adopted XML schema to develop a generic language to extract the partial model from an Industry Foundation Classes (IFC) model based on the proposed Selection Set (called PMESS). In this method, the Selection Set was used to integrate users’ requirements, which could be mapped into IFC data. To ensure the validity of the generated partial IFC models in syntax and semantics, seven rules—including three basic rules for a valid IFC file, three extraction rules based on the Selection Set, and a processing rule for redundant information—were defined. Through defining PMESS-based configuration files, the required data can be extracted and formed as a partial IFC model. Compared with the existing methods, the proposed PMESS method can flexibly extract the user-defined required information. In addition, these PMESS-based configuration files can be stored as templates and reused in other tasks, which prevents duplicated work for defining extraction requirements. Finally, a practical project was used to illustrate the utility of the proposed method.

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BIM IFC information mapping to building energy analysis (BEA) model with manually extended material information

Cited by 78 publications

References 13 publications

Building Information Modelling and Project Information Management Framework for Construction Projects

Building Information Modelling and Project Information Management Framework for Construction Projects

Building integrated agriculture information modelling (BIAIM): An integrated approach towards urban agriculture

Generic Language for Partial Model Extraction from an IFC Model Based on Selection Set

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