IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v16y2023i17p6327-d1230057.html
   My bibliography  Save this article

Enhancing Energy Efficiency and Building Performance through BEMS-BIM Integration

Author

Listed:
  • Maria Kozlovska

    (Institute of Technology, Economics and Management in Construction, Faculty of Civil Engineering, Technical University of Košice, 040 01 Košice, Slovakia)

  • Stefan Petkanic

    (Institute of Technology, Economics and Management in Construction, Faculty of Civil Engineering, Technical University of Košice, 040 01 Košice, Slovakia)

  • Frantisek Vranay

    (Building Services Department, Faculty of Civil Engineering, Technical University of Košice, 040 01 Košice, Slovakia)

  • Dominik Vranay

    (Department of Cybernetics and Artificial Intelligence, Faculty of Electrical Engineering and Informatics, Technical University of Košice, 040 01 Košice, Slovakia)

Abstract

This paper presents a comprehensive analysis of the potential benefits and feasibility of integrating Building Energy Management Systems (BEMSs) with Building Information Modeling (BIM) in, but not limited to, the construction and building management sectors. By examining advantages, challenges, and real-world case studies, this study offers valuable insights into the impact of BEMS-BIM integration on building operations. The research methodology includes a literature review and bibliometric analysis to understand the subject domain and identify prevalent keywords. Additionally, case studies demonstrate the effectiveness of BEMS-BIM integration in real-world scenarios. This study investigates the possibilities and challenges of BIM to the BEMS methodology for energy-efficient industrial buildings, emphasizing the importance of addressing uncertainties and enhancing software interoperability. This research highlights the potential of BEMS-BIM integration to revolutionize building performance, enhance sustainability, and contribute to a greener and more efficient future for the construction and building management industries.

Suggested Citation

  • Maria Kozlovska & Stefan Petkanic & Frantisek Vranay & Dominik Vranay, 2023. "Enhancing Energy Efficiency and Building Performance through BEMS-BIM Integration," Energies, MDPI, vol. 16(17), pages 1-23, August.
  • Handle: RePEc:gam:jeners:v:16:y:2023:i:17:p:6327-:d:1230057
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/16/17/6327/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/16/17/6327/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Sofía Mulero-Palencia & Sonia Álvarez-Díaz & Manuel Andrés-Chicote, 2021. "Machine Learning for the Improvement of Deep Renovation Building Projects Using As-Built BIM Models," Sustainability, MDPI, vol. 13(12), pages 1-29, June.
    2. Shen, Yuxuan & Pan, Yue, 2023. "BIM-supported automatic energy performance analysis for green building design using explainable machine learning and multi-objective optimization," Applied Energy, Elsevier, vol. 333(C).
    3. Seung-Yeong Song & Hye-Sun Jin & Soo-Yeon Ha & Sung-Im Kim & You-Jeong Kim & Soo-Jin Lee & In-Ae Suh, 2020. "Detailed Office Building Energy Information Based on In Situ Measurements," Energies, MDPI, vol. 13(12), pages 1-26, June.
    4. Nees Jan Eck & Ludo Waltman, 2010. "Software survey: VOSviewer, a computer program for bibliometric mapping," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(2), pages 523-538, August.
    5. Sakdirat Kaewunruen & Panrawee Rungskunroch & Joshua Welsh, 2018. "A Digital-Twin Evaluation of Net Zero Energy Building for Existing Buildings," Sustainability, MDPI, vol. 11(1), pages 1-22, December.
    6. Zhang, Liang & Wen, Jin & Li, Yanfei & Chen, Jianli & Ye, Yunyang & Fu, Yangyang & Livingood, William, 2021. "A review of machine learning in building load prediction," Applied Energy, Elsevier, vol. 285(C).
    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. Lutz Bornmann & Robin Haunschild & Sven E. Hug, 2018. "Visualizing the context of citations referencing papers published by Eugene Garfield: a new type of keyword co-occurrence analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(2), pages 427-437, February.
    2. Akinpelu, O.A. & Olaleye, O. & Fagbola, O., 2023. "The Soil Organic Matter Decomposers: A Bibliometric Analysis," International Journal of Agriculture and Environmental Research, Malwa International Journals Publication, vol. 9(4), August.
    3. Gaviria-Marin, Magaly & Merigó, José M. & Baier-Fuentes, Hugo, 2019. "Knowledge management: A global examination based on bibliometric analysis," Technological Forecasting and Social Change, Elsevier, vol. 140(C), pages 194-220.
    4. J. Gómez-Verjan & I. Gonzalez-Sanchez & E. Estrella-Parra & R. Reyes-Chilpa, 2015. "Trends in the chemical and pharmacological research on the tropical trees Calophyllum brasiliense and Calophyllum inophyllum, a global context," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(2), pages 1019-1030, November.
    5. Luis Araya-Castillo & Felipe Hernández-Perlines & Hugo Moraga & Antonio Ariza-Montes, 2021. "Scientometric Analysis of Research on Socioemotional Wealth," Sustainability, MDPI, vol. 13(7), pages 1-26, March.
    6. Loet Leydesdorff & Dieter Franz Kogler & Bowen Yan, 2017. "Mapping patent classifications: portfolio and statistical analysis, and the comparison of strengths and weaknesses," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(3), pages 1573-1591, September.
    7. Chen, Zhelun & O’Neill, Zheng & Wen, Jin & Pradhan, Ojas & Yang, Tao & Lu, Xing & Lin, Guanjing & Miyata, Shohei & Lee, Seungjae & Shen, Chou & Chiosa, Roberto & Piscitelli, Marco Savino & Capozzoli, , 2023. "A review of data-driven fault detection and diagnostics for building HVAC systems," Applied Energy, Elsevier, vol. 339(C).
    8. Filippo Corsini & Rafael Laurenti & Franziska Meinherz & Francesco Paolo Appio & Luca Mora, 2019. "The Advent of Practice Theories in Research on Sustainable Consumption: Past, Current and Future Directions of the Field," Sustainability, MDPI, vol. 11(2), pages 1-19, January.
    9. Tuba Bircan & Almila Alkim Akdag Salah, 2022. "A Bibliometric Analysis of the Use of Artificial Intelligence Technologies for Social Sciences," Mathematics, MDPI, vol. 10(23), pages 1-17, November.
    10. Kumari, Rajni & Kumar, Manish & Vivekanand, V. & Pareek, Nidhi, 2023. "Chitin biorefinery: A narrative and prophecy of crustacean shell waste sustainable transformation into bioactives and renewable energy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 184(C).
    11. Dilvin Cebi & Melih Soner Celiktas & Hasan Sarptas, 2022. "A Review on Sewage Sludge Valorization via Hydrothermal Carbonization and Applications for Circular Economy," Circular Economy and Sustainability,, Springer.
    12. Muthukumar Perumal & Selvam Sekar & Paula C. S. Carvalho, 2024. "Global Investigations of Seawater Intrusion (SWI) in Coastal Groundwaters in the Last Two Decades (2000–2020): A Bibliometric Analysis," Sustainability, MDPI, vol. 16(3), pages 1-28, February.
    13. Massimiliano M. Pellegrini & Riccardo Rialti & Giacomo Marzi & Andrea Caputo, 2020. "Sport entrepreneurship: A synthesis of existing literature and future perspectives," International Entrepreneurship and Management Journal, Springer, vol. 16(3), pages 795-826, September.
    14. David Vérez & Luisa F. Cabeza, 2021. "Which Building Services Are Considered to Have Impact on Climate Change?," Energies, MDPI, vol. 14(13), pages 1-16, June.
    15. María Pinto & Rosaura Fernández-Pascual & David Caballero-Mariscal & Dora Sales, 2020. "Information literacy trends in higher education (2006–2019): visualizing the emerging field of mobile information literacy," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(2), pages 1479-1510, August.
    16. Francesco Ciampi & Alessandro Giannozzi & Giacomo Marzi & Edward I. Altman, 2021. "Rethinking SME default prediction: a systematic literature review and future perspectives," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(3), pages 2141-2188, March.
    17. Giovanni Matteo & Pierfrancesco Nardi & Stefano Grego & Caterina Guidi, 2018. "Bibliometric analysis of Climate Change Vulnerability Assessment research," Environment Systems and Decisions, Springer, vol. 38(4), pages 508-516, December.
    18. Diogo Ferraz & Fernanda P. S. Falguera & Enzo B. Mariano & Dominik Hartmann, 2021. "Linking Economic Complexity, Diversification, and Industrial Policy with Sustainable Development: A Structured Literature Review," Sustainability, MDPI, vol. 13(3), pages 1-29, January.
    19. Formolli, M. & Kleiven, T. & Lobaccaro, G., 2023. "Assessing solar energy accessibility at high latitudes: A systematic review of urban spatial domains, metrics, and parameters," Renewable and Sustainable Energy Reviews, Elsevier, vol. 177(C).
    20. Gallego-Losada, María-Jesús & Montero-Navarro, Antonio & García-Abajo, Elisa & Gallego-Losada, Rocío, 2023. "Digital financial inclusion. Visualizing the academic literature," Research in International Business and Finance, Elsevier, vol. 64(C).

    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:17:p:6327-:d:1230057. 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.