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A Study of Energy Simulation Integrated Process by Automated Extraction Module of the BIM Geometry Module

Author

Listed:
  • Jun-Woo Choi

    (Smart Greenbuilding Lab, EAN Technology, 06159 Seoul, Korea)

  • Yong-Joon Jun

    (Department of Architectural Engineering, Dong-Eui University, Busan 47340, Korea)

  • Jin-ha Yoon

    (Smart Greenbuilding Lab, EAN Technology, 06159 Seoul, Korea)

  • Young-hak Song

    (Department of Architectural Engineering, ERI, Gyeongsang National University, Jinju 52828, Korea)

  • Kyung-Soon Park

    (Architectural Engineering Major, Division of Urban, Architecture and Civil Engineering, Dong-Eui University, Busan 47340, Korea)

Abstract

Despite the international trend of actively utilizing BIM in the field of energy simulation, it is difficult to actively utilize BIM in domestic certification-related practice. As a result, the work process is not integrated and the work efficiency is reduced, such as the occurrence of redundant tasks. In this paper, the integrated process based on the BIM geometry information automated extraction module was presented and its effectiveness was reviewed and verified through self-developed automation module and uniformity and error-causing analysis. The construction of an integrated process through automatic configuration information extraction has the advantages of reducing the workload, enabling additional tasks through module function expansion, sharing information through the web, and ease of service manufacture. In addition, an experiment comparing the data of automatic and manual calculations with three subjects confirmed that automatic calculation database through automation module can produce a more reliable and uniform database with a lower proportion of human error than the manual calculation module. This not only improves the reliability of the energy simulation itself, but also reduces the human and temporal loads that occur during the post-simulation data verification process.

Suggested Citation

  • Jun-Woo Choi & Yong-Joon Jun & Jin-ha Yoon & Young-hak Song & Kyung-Soon Park, 2019. "A Study of Energy Simulation Integrated Process by Automated Extraction Module of the BIM Geometry Module," Energies, MDPI, vol. 12(13), pages 1-12, June.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:13:p:2461-:d:243066
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    References listed on IDEAS

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    1. Cesare Biserni & Paolo Valdiserri & Dario D’Orazio & Massimo Garai, 2018. "Energy Retrofitting Strategies and Economic Assessments: The Case Study of a Residential Complex Using Utility Bills," Energies, MDPI, vol. 11(8), pages 1-15, August.
    2. Joanna Ferdyn-Grygierek & Dorota Bartosz & Aleksandra Specjał & Krzysztof Grygierek, 2018. "Analysis of Accuracy Determination of the Seasonal Heat Demand in Buildings Based on Short Measurement Periods," Energies, MDPI, vol. 11(10), pages 1-19, October.
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    1. Francisco Javier Montiel-Santiago & Manuel Jesús Hermoso-Orzáez & Julio Terrados-Cepeda, 2020. "Sustainability and Energy Efficiency: BIM 6D. Study of the BIM Methodology Applied to Hospital Buildings. Value of Interior Lighting and Daylight in Energy Simulation," Sustainability, MDPI, vol. 12(14), pages 1-29, July.
    2. Sanjin Gumbarević & Ivana Burcar Dunović & Bojan Milovanović & Mergim Gaši, 2020. "Method for Building Information Modeling Supported Project Control of Nearly Zero-Energy Building Delivery," Energies, MDPI, vol. 13(20), pages 1-21, October.

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