IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v16y2023i23p7845-d1290844.html
   My bibliography  Save this article

BIM to BEM for Building Energy Analysis: A Review of Interoperability Strategies

Author

Listed:
  • Annamaria Ciccozzi

    (Department of Industrial and Information Engineering and Economics, University of L’Aquila, Piazzale Pontieri 1, Monteluco di Roio, 67100 L’Aquila, Italy)

  • Tullio de Rubeis

    (Department of Civil, Construction-Architectural and Environmental Engineering, University of L’Aquila, Piazzale Pontieri 1, Monteluco di Roio, 67100 L’Aquila, Italy)

  • Domenica Paoletti

    (Department of Industrial and Information Engineering and Economics, University of L’Aquila, Piazzale Pontieri 1, Monteluco di Roio, 67100 L’Aquila, Italy)

  • Dario Ambrosini

    (Department of Industrial and Information Engineering and Economics, University of L’Aquila, Piazzale Pontieri 1, Monteluco di Roio, 67100 L’Aquila, Italy)

Abstract

The main objective of this review is to summarize and thoroughly investigate the most popular and promising BIM (building information modeling) and BEM (building energy modeling) interoperability strategies employed in the last years (2004–2023), highlighting pros and cons of each strategy and trying to understand the reason for the still limited BIM–BEM interaction. This review summarizes the main countries, areas, modeling tools, and interoperability strategies, with the advantages and disadvantages of each one. The methodology is based on the PRISMA protocol, and two databases were used for the research: Scopus and Google Scholar. A total of 532 publications were selected and 100 papers were deemed useful for the purposes of this review. The main findings led to the identification of four different interoperability strategies between BIM and BEM tools: (1) real-time connection; (2) standardized exchange formats and middleware corrective tools; (3) adherence to model view definitions; (4) proprietary tool-chain. These strategies were found to be characterized by different degrees of complexity, time required for information exchange, proprietary or opensource software, ability to reduce information loss, and detailed energy results. The results of this study showed that, to date, there is no better interoperability strategy, and that further efforts are needed so that interoperability between the two tools can become commonplace.

Suggested Citation

  • Annamaria Ciccozzi & Tullio de Rubeis & Domenica Paoletti & Dario Ambrosini, 2023. "BIM to BEM for Building Energy Analysis: A Review of Interoperability Strategies," Energies, MDPI, vol. 16(23), pages 1-45, November.
  • Handle: RePEc:gam:jeners:v:16:y:2023:i:23:p:7845-:d:1290844
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/16/23/7845/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/16/23/7845/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Stegnar, G. & Cerovšek, T., 2019. "Information needs for progressive BIM methodology supporting the holistic energy renovation of office buildings," Energy, Elsevier, vol. 173(C), pages 317-331.
    2. Gao, Hao & Koch, Christian & Wu, Yupeng, 2019. "Building information modelling based building energy modelling: A review," Applied Energy, Elsevier, vol. 238(C), pages 320-343.
    3. João M. P. Q. Delgado & Ana S. Guimarães & João Poças Martins & Diogo F. R. Parracho & Sara S. Freitas & António G. B. Lima & Leonardo Rodrigues, 2023. "BIM and BEM Interoperability–Evaluation of a Case Study in Modular Wooden Housing," Energies, MDPI, vol. 16(4), pages 1-21, February.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Jianwu Xiong & Linlin Chen & Yin Zhang, 2023. "Building Energy Saving for Indoor Cooling and Heating: Mechanism and Comparison on Temperature Difference," Sustainability, MDPI, vol. 15(14), pages 1-20, 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.
    3. Zhang, Sheng & Liu, Jun & Zhang, Xia & Wang, Fenghao, 2024. "Properly shortening design time scale of medium-deep borehole heat exchanger for high building heating performances with high computational efficiency," Energy, Elsevier, vol. 290(C).
    4. Clyde Zhengdao Li & Yiqian Deng & Yingyi Ya & Vivian W. Y. Tam & Chen Lu, 2023. "Applications of Information Technology in Building Carbon Flow," Sustainability, MDPI, vol. 15(23), pages 1-23, December.
    5. Yu Cao & Liyan Huang & Nur Mardhiyah Aziz & Syahrul Nizam Kamaruzzaman, 2022. "Building Information Modelling (BIM) Capabilities in the Design and Planning of Rural Settlements in China: A Systematic Review," Land, MDPI, vol. 11(10), pages 1-34, October.
    6. Jordan Higgins & Aditya Ramnarayan & Roxana Family & Michael Ohadi, 2024. "Analysis of Energy Efficiency Opportunities for a Public Transportation Maintenance Facility—A Case Study," Energies, MDPI, vol. 17(8), pages 1-20, April.
    7. Mohamed Nour El-Din & João Poças Martins & Nuno M. M. Ramos & Pedro F. Pereira, 2024. "The Role of Blockchain-Secured Digital Twins in Promoting Smart Energy Performance-Based Contracts for Buildings," Energies, MDPI, vol. 17(14), pages 1-23, July.
    8. Calama-González, Carmen María & Symonds, Phil & Petrou, Giorgos & Suárez, Rafael & León-Rodríguez, Ángel Luis, 2021. "Bayesian calibration of building energy models for uncertainty analysis through test cells monitoring," Applied Energy, Elsevier, vol. 282(PA).
    9. Ohlsson, K.E. Anders & Olofsson, Thomas, 2021. "Benchmarking the practice of validation and uncertainty analysis of building energy models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 142(C).
    10. Najjar, Mohammad & Figueiredo, Karoline & Hammad, Ahmed W.A. & Haddad, Assed, 2019. "Integrated optimization with building information modeling and life cycle assessment for generating energy efficient buildings," Applied Energy, Elsevier, vol. 250(C), pages 1366-1382.
    11. Lei Zhang & Zhenwei Chu & Huanbin Song, 2019. "Understanding the Relation between BIM Application Behavior and Sustainable Construction: A Case Study in China," Sustainability, MDPI, vol. 12(1), pages 1-17, December.
    12. Barone, Giovanni & Buonomano, Annamaria & Giuzio, Giovanni Francesco & Palombo, Adolfo, 2023. "Towards zero energy infrastructure buildings: optimal design of envelope and cooling system," Energy, Elsevier, vol. 279(C).
    13. Xun Liu & Zhenhan Ding & Xiaobo Li & Zhiyuan Xue, 2023. "Research Progress, Hotspots, and Trends of Using BIM to Reduce Building Energy Consumption: Visual Analysis Based on WOS Database," IJERPH, MDPI, vol. 20(4), pages 1-21, February.
    14. Razmi, Afshin & Rahbar, Morteza & Bemanian, Mohammadreza, 2022. "PCA-ANN integrated NSGA-III framework for dormitory building design optimization: Energy efficiency, daylight, and thermal comfort," Applied Energy, Elsevier, vol. 305(C).
    15. Si Chen & Daniel Friedrich & Zhibin Yu & James Yu, 2019. "District Heating Network Demand Prediction Using a Physics-Based Energy Model with a Bayesian Approach for Parameter Calibration," Energies, MDPI, vol. 12(18), pages 1-19, September.
    16. Abdullah Alghuried, 2023. "Measuring the Benefits and Barriers of the Implementation of BIM in Sustainable Practice in the Construction Industry of Saudi Arabia," Sustainability, MDPI, vol. 15(19), pages 1-26, September.
    17. Mohammad B. Hamida & Wahhaj Ahmed & Muhammad Asif & Faris Abdullah Almaziad, 2020. "Techno-Economic Assessment of Energy Retrofitting Educational Buildings: A Case Study in Saudi Arabia," Sustainability, MDPI, vol. 13(1), pages 1-15, December.
    18. Giovanni Barone & Annamaria Buonomano & Cesare Forzano & Giovanni Francesco Giuzio & Adolfo Palombo, 2021. "Improving the Efficiency of Maritime Infrastructures through a BIM-Based Building Energy Modelling Approach: A Case Study in Naples, Italy," Energies, MDPI, vol. 14(16), pages 1-24, August.
    19. Marcela Brauner & Nicola Naismith & Ali GhaffarianHoseini, 2021. "System Approach in Complex Integral Design Methodology and Its Application in New Zealand," Sustainability, MDPI, vol. 13(11), pages 1-25, June.
    20. Mihail Mateev, 2024. "Digital Twins Concept For Energy-Efficient Smart Buildings," Yearbook of the Faculty of Economics and Business Administration, Sofia University, Faculty of Economics and Business Administration, Sofia University St Kliment Ohridski - Bulgaria, vol. 23(1), pages 187-198, June.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:16:y:2023:i:23:p:7845-:d:1290844. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.