IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v10y2017i8p1167-d107532.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/10/8/1167/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/10/8/1167/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Gabriele Lobaccaro & Salvatore Carlucci & Erica Löfström, 2016. "A Review of Systems and Technologies for Smart Homes and Smart Grids," Energies, MDPI, vol. 9(5), pages 1-33, May.
    2. Costa, Andrea & Keane, Marcus M. & Torrens, J. Ignacio & Corry, Edward, 2013. "Building operation and energy performance: Monitoring, analysis and optimisation toolkit," Applied Energy, Elsevier, vol. 101(C), pages 310-316.
    3. Petri, Ioan & Li, Haijiang & Rezgui, Yacine & Chunfeng, Yang & Yuce, Baris & Jayan, Bejay, 2014. "A modular optimisation model for reducing energy consumption in large scale building facilities," Renewable and Sustainable Energy Reviews, Elsevier, vol. 38(C), pages 990-1002.
    4. Howell, Shaun & Rezgui, Yacine & Hippolyte, Jean-Laurent & Jayan, Bejay & Li, Haijiang, 2017. "Towards the next generation of smart grids: Semantic and holonic multi-agent management of distributed energy resources," Renewable and Sustainable Energy Reviews, Elsevier, vol. 77(C), pages 193-214.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Bárbara Torregrosa-Jaime & Benjamín González & Pedro J. Martínez & Gaspar Payá-Ballester, 2018. "Analysis of the Operation of an Aerothermal Heat Pump in a Residential Building Using Building Information Modelling," Energies, MDPI, vol. 11(7), pages 1-17, June.
    2. Ali, Omar & Shrestha, Anup & Soar, Jeffrey & Wamba, Samuel Fosso, 2018. "Cloud computing-enabled healthcare opportunities, issues, and applications: A systematic review," International Journal of Information Management, Elsevier, vol. 43(C), pages 146-158.
    3. Alessandra Battisti & Sandra G. L. Persiani & Manuela Crespi, 2019. "Review and Mapping of Parameters for the Early Stage Design of Adaptive Building Technologies through Life Cycle Assessment Tools," Energies, MDPI, vol. 12(9), pages 1-33, May.
    4. Tronchin, Lamberto & Manfren, Massimiliano & Nastasi, Benedetto, 2018. "Energy efficiency, demand side management and energy storage technologies – A critical analysis of possible paths of integration in the built environment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 95(C), pages 341-353.
    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.
    6. Habtamu Tkubet Ebuy & Hind Bril El Haouzi & Riad Benelmir & Remi Pannequin, 2023. "Occupant Behavior Impact on Building Sustainability Performance: A Literature Review," Sustainability, MDPI, vol. 15(3), pages 1-23, January.
    7. 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.
    8. 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).
    9. 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.
    10. Luka Adanič & Sara Guerra de Oliveira & Andrej Tibaut, 2021. "BIM and Mechanical Engineering—A Cross-Disciplinary Analysis," Sustainability, MDPI, vol. 13(8), pages 1-17, April.
    11. 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).
    12. 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.
    13. Ljubomir Jankovic & Silvio Carta, 2021. "BioZero—Designing Nature-Inspired Net-Zero Building," Sustainability, MDPI, vol. 13(14), pages 1-23, July.
    14. 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.
    15. 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.

    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. Salata, Ferdinando & Ciancio, Virgilio & Dell'Olmo, Jacopo & Golasi, Iacopo & Palusci, Olga & Coppi, Massimo, 2020. "Effects of local conditions on the multi-variable and multi-objective energy optimization of residential buildings using genetic algorithms," Applied Energy, Elsevier, vol. 260(C).
    2. Flavio Martins & Maria Fatima Almeida & Rodrigo Calili & Agatha Oliveira, 2020. "Design Thinking Applied to Smart Home Projects: A User-Centric and Sustainable Perspective," Sustainability, MDPI, vol. 12(23), pages 1-27, December.
    3. Mohamed Massaoudi & Ines Chihi & Lilia Sidhom & Mohamed Trabelsi & Shady S. Refaat & Fakhreddine S. Oueslati, 2021. "Enhanced Random Forest Model for Robust Short-Term Photovoltaic Power Forecasting Using Weather Measurements," Energies, MDPI, vol. 14(13), pages 1-20, July.
    4. Hafize Nurgul Durmus Senyapar & Ramazan Bayindir, 2023. "The Research Agenda on Smart Grids: Foresights for Social Acceptance," Energies, MDPI, vol. 16(18), pages 1-31, September.
    5. Severinsen, A. & Myrland, Ø., 2022. "ShinyRBase: Near real-time energy saving models using reactive programming," Applied Energy, Elsevier, vol. 325(C).
    6. Luciano Cavalcante Siebert & Alexandre Rasi Aoki & Germano Lambert-Torres & Nelson Lambert-de-Andrade & Nikolaos G. Paterakis, 2020. "An Agent-Based Approach for the Planning of Distribution Grids as a Socio-Technical System," Energies, MDPI, vol. 13(18), pages 1-13, September.
    7. Ciro Aprea & Laura Canale & Marco Dell’Isola & Giorgio Ficco & Andrea Frattolillo & Angelo Maiorino & Fabio Petruzziello, 2023. "On the Use of Ultrasonic Flowmeters for Cooling Energy Metering and Sub-Metering in Direct Expansion Systems," Energies, MDPI, vol. 16(12), pages 1-16, June.
    8. Sameh Monna & Adel Juaidi & Ramez Abdallah & Aiman Albatayneh & Patrick Dutournie & Mejdi Jeguirim, 2021. "Towards Sustainable Energy Retrofitting, a Simulation for Potential Energy Use Reduction in Residential Buildings in Palestine," Energies, MDPI, vol. 14(13), pages 1-13, June.
    9. Chen, Chien-fei & Nelson, Hannah & Xu, Xiaojing & Bonilla, Gregory & Jones, Nicholas, 2021. "Beyond technology adoption: Examining home energy management systems, energy burdens and climate change perceptions during COVID-19 pandemic," Renewable and Sustainable Energy Reviews, Elsevier, vol. 145(C).
    10. Jing Zhao & Yu Shan, 2020. "A Fuzzy Control Strategy Using the Load Forecast for Air Conditioning System," Energies, MDPI, vol. 13(3), pages 1-17, January.
    11. Adnan Ahmad & Asif Khan & Nadeem Javaid & Hafiz Majid Hussain & Wadood Abdul & Ahmad Almogren & Atif Alamri & Iftikhar Azim Niaz, 2017. "An Optimized Home Energy Management System with Integrated Renewable Energy and Storage Resources," Energies, MDPI, vol. 10(4), pages 1-35, April.
    12. Ruparathna, Rajeev & Hewage, Kasun & Sadiq, Rehan, 2016. "Improving the energy efficiency of the existing building stock: A critical review of commercial and institutional buildings," Renewable and Sustainable Energy Reviews, Elsevier, vol. 53(C), pages 1032-1045.
    13. Syed Ali Abbas Kazmi & Muhammad Khuram Shahzad & Akif Zia Khan & Dong Ryeol Shin, 2017. "Smart Distribution Networks: A Review of Modern Distribution Concepts from a Planning Perspective," Energies, MDPI, vol. 10(4), pages 1-47, April.
    14. Fei Jiao & Yuqing Lei & Guozheng Peng & Funing Dong & Qing Yang & Wei Liao, 2023. "Grating Spectrum Design and Optimization of GMM-FBG Current Sensor," Energies, MDPI, vol. 16(2), pages 1-12, January.
    15. Wang, Chongwei & Cheng, Chuanxiao & Jin, Tingxiang & Dong, Hongsheng, 2022. "Water evaporation inspired biomass-based PCM from daisy stem and paraffin for building temperature regulation," Renewable Energy, Elsevier, vol. 194(C), pages 211-219.
    16. Afroz, Zakia & Urmee, Tania & Shafiullah, G.M. & Higgins, Gary, 2018. "Real-time prediction model for indoor temperature in a commercial building," Applied Energy, Elsevier, vol. 231(C), pages 29-53.
    17. Yoo, Yoon-Sik & Newaz, S.H. Shah & Shannon, Peter David & Lee, Il-Woo & Choi, Jun Kyun, 2018. "Towards improving throughput and reducing latency: A simplified protocol conversion mechanism in distributed energy resources network," Applied Energy, Elsevier, vol. 213(C), pages 45-55.
    18. Markovič, Rene & Gosak, Marko & Grubelnik, Vladimir & Marhl, Marko & Virtič, Peter, 2019. "Data-driven classification of residential energy consumption patterns by means of functional connectivity networks," Applied Energy, Elsevier, vol. 242(C), pages 506-515.
    19. Amit Shewale & Anil Mokhade & Nitesh Funde & Neeraj Dhanraj Bokde, 2022. "A Survey of Efficient Demand-Side Management Techniques for the Residential Appliance Scheduling Problem in Smart Homes," Energies, MDPI, vol. 15(8), pages 1-34, April.
    20. Antonopoulos, Ioannis & Robu, Valentin & Couraud, Benoit & Kirli, Desen & Norbu, Sonam & Kiprakis, Aristides & Flynn, David & Elizondo-Gonzalez, Sergio & Wattam, Steve, 2020. "Artificial intelligence and machine learning approaches to energy demand-side response: A systematic review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 130(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:10:y:2017:i:8:p:1167-:d:107532. 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.