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Optimizing Energy Efficiency in Operating Built Environment Assets through Building Information Modeling: A Case Study

Author

Listed:
  • Ioan Petri

    (BRE Institute in Sustainable Engineering, School of Engineering, Cardiff University, Cardiff CF243AA, UK)

  • Sylvain Kubicki

    (Luxembourg Institute of Science and Technology (LIST), L-4362 Esch-sur-Alzette, Luxembourg, Luxembourg)

  • Yacine Rezgui

    (BRE Institute in Sustainable Engineering, School of Engineering, Cardiff University, Cardiff CF243AA, UK)

  • Annie Guerriero

    (Luxembourg Institute of Science and Technology (LIST), L-4362 Esch-sur-Alzette, Luxembourg, Luxembourg)

  • Haijiang Li

    (BRE Institute in Sustainable Engineering, School of Engineering, Cardiff University, Cardiff CF243AA, UK)

Abstract

Reducing carbon emissions and addressing environmental policies in the construction domain has been intensively explored with solutions ranging from energy efficiency techniques with building informatics to user behavior modelling and monitoring. Such strategies have managed to improve current practices in managing buildings, however decarbonizing the built environment and reducing the energy performance gap remains a complex undertaking that requires more comprehensive and sustainable solutions. In this context, building information modelling (BIM), can help the sustainability agenda as the digitalization of product and process information provides a unique opportunity to optimize energy-efficiency-related decisions across the entire lifecycle and supply chain. BIM is foreseen as a means to waste and emissions reduction, performance gap minimization, in-use energy enhancements, and total lifecycle assessment. It also targets the whole supply chain related to design, construction, as well as management and use of facilities, at the different qualifications levels (including blue-collar workers). In this paper, we present how building information modelling can be utilized to address energy efficiency in buildings in the operation phase, greatly contributing to achieving carbon emissions targets. In this paper, we provide two main contributions: (i) we present a BIM-oriented methodology for supporting building energy optimization, based on which we identify few training directions with regards to BIM, and (ii) we provide an application use case as identified in the European research project “Sporte2” to demonstrate the advantages of BIM in energy efficiency with respect to several energy metrics.

Suggested Citation

  • Ioan Petri & Sylvain Kubicki & Yacine Rezgui & Annie Guerriero & Haijiang Li, 2017. "Optimizing Energy Efficiency in Operating Built Environment Assets through Building Information Modeling: A Case Study," Energies, MDPI, vol. 10(8), pages 1-17, August.
  • Handle: RePEc:gam:jeners:v:10:y:2017:i:8:p:1167-:d:107532
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    References listed on IDEAS

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    5. Arturas Kaklauskas & Edmundas Kazimieras Zavadskas & Natalija Lepkova & Saulius Raslanas & Kestutis Dauksys & Ingrida Vetloviene & Ieva Ubarte, 2021. "Sustainable Construction Investment, Real Estate Development, and COVID-19: A Review of Literature in the Field," Sustainability, MDPI, vol. 13(13), pages 1-42, July.
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    8. Muhammad Ali Musarat & Alishba Sadiq & Wesam Salah Alaloul & Mohamed Mubarak Abdul Wahab, 2022. "A Systematic Review on Enhancement in Quality of Life through Digitalization in the Construction Industry," Sustainability, MDPI, vol. 15(1), pages 1-20, December.
    9. Elnour, Mariam & Fadli, Fodil & Himeur, Yassine & Petri, Ioan & Rezgui, Yacine & Meskin, Nader & Ahmad, Ahmad M., 2022. "Performance and energy optimization of building automation and management systems: Towards smart sustainable carbon-neutral sports facilities," Renewable and Sustainable Energy Reviews, Elsevier, vol. 162(C).
    10. Elnour, Mariam & Himeur, Yassine & Fadli, Fodil & Mohammedsherif, Hamdi & Meskin, Nader & Ahmad, Ahmad M. & Petri, Ioan & Rezgui, Yacine & Hodorog, Andrei, 2022. "Neural network-based model predictive control system for optimizing building automation and management systems of sports facilities," Applied Energy, Elsevier, vol. 318(C).
    11. Olga Shepovalova & Andrey Izmailov & Yakov Lobachevsky & Alexey Dorokhov, 2023. "High-Efficiency Photovoltaic Equipment for Agriculture Power Supply," Agriculture, MDPI, vol. 13(6), pages 1-25, June.
    12. Ljubomir Jankovic & Silvio Carta, 2021. "BioZero—Designing Nature-Inspired Net-Zero Building," Sustainability, MDPI, vol. 13(14), pages 1-23, July.
    13. Mohammad K. Najjar & Vivian W. Y. Tam & Leandro Torres Di Gregorio & Ana Catarina Jorge Evangelista & Ahmed W. A. Hammad & Assed Haddad, 2019. "Integrating Parametric Analysis with Building Information Modeling to Improve Energy Performance of Construction Projects," Energies, MDPI, vol. 12(8), pages 1-22, April.
    14. Jau-Woei Perng & Yi-Chang Kuo & Yao-Tsung Chang & Hsi-Hsiang Chang, 2020. "Power Substation Construction and Ventilation System Co-Designed Using Particle Swarm Optimization," Energies, MDPI, vol. 13(9), pages 1-27, May.
    15. Jeoung Yul Lee & Ilkhom Okmirzaevich Irisboev & Yeon-Sik Ryu, 2021. "Literature Review on Digitalization in Facilities Management and Facilities Management Performance Measurement: Contribution of Industry 4.0 in the Global Era," Sustainability, MDPI, vol. 13(23), pages 1-29, December.

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