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Method for Building Information Modeling Supported Project Control of Nearly Zero-Energy Building Delivery

Author

Listed:
  • Sanjin Gumbarević

    (Faculty of Civil Engineering, University of Zagreb, 10000 Zagreb, Croatia)

  • Ivana Burcar Dunović

    (Faculty of Civil Engineering, University of Zagreb, 10000 Zagreb, Croatia)

  • Bojan Milovanović

    (Faculty of Civil Engineering, University of Zagreb, 10000 Zagreb, Croatia)

  • Mergim Gaši

    (Faculty of Civil Engineering, University of Zagreb, 10000 Zagreb, Croatia)

Abstract

With the increasing number of nearly zero-energy buildings (NZEB) due to increase of global awareness on climate change, the new concepts of design and control must be developed because of great NZEB dependency on detailing and multidisciplinary approach. This paper proposes a three-level gateway control method for NZEB project delivery by using digital representation of the building in building information modeling (BIM) environment. These controls (C1, C2 and C3) are introduced before three main phases of any project delivery—design phase, construction phase and handover. The proposed project control procedure uses black-box building energy modeling within the BIM environment, so the paper explores the reliability of one tool for direct energy modeling within the BIM-authoring software. The paper shows two types of validation tests with satisfactory results. This leads to conclusion that analyzed tool for energy simulation within BIM environment can be used in a way that is described in a proposed project control procedure. For further research it is proposed to explore reliability of tools for energy simulation connected to other BIM-authoring software, so this project control procedure could be independent of BIM-authoring software used in the paper.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:20:p:5519-:d:432381
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    2. Sanjin Gumbarević & Bojan Milovanović & Bojana Dalbelo Bašić & Mergim Gaši, 2022. "Combining Deep Learning and the Heat Flux Method for In-Situ Thermal-Transmittance Measurement Improvement," Energies, MDPI, vol. 15(14), pages 1-19, July.
    3. Gang Yao & Yuan Chen & Wenchi Xie & Nan Chen & Yue Rui & Pingjia Luo, 2022. "Research on Collaborative Design of Performance-Refined Zero Energy Building: A Case Study," Energies, MDPI, vol. 15(19), pages 1-30, September.
    4. Tatjana Vilutienė & Rasa Džiugaitė-Tumėnienė & Diana Kalibatienė & Darius Kalibatas, 2021. "How BIM Contributes to a Building’s Energy Efficiency throughout Its Whole Life Cycle: Systematic Mapping," Energies, MDPI, vol. 14(20), pages 1-27, October.
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    6. Abdul Ghani Olabi & Tabbi Wilberforce & Mohammad Ali Abdelkareem & Mohamad Ramadan, 2021. "Critical Review of Flywheel Energy Storage System," Energies, MDPI, vol. 14(8), pages 1-33, April.

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