IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v12y2019i8p1515-d224896.html
   My bibliography  Save this article

Integrating Parametric Analysis with Building Information Modeling to Improve Energy Performance of Construction Projects

Author

Listed:
  • Mohammad K. Najjar

    (Program de Engenharia Ambiental, Universidade Federal do Rio de Janeiro, Rio de Janeiro 21941-901, Brazil)

  • Vivian W. Y. Tam

    (School of Computing, Engineering and Mathematics, Western Sydney University, Penrith, NSW 2751, Australia)

  • Leandro Torres Di Gregorio

    (Program de Engenharia Ambiental, Universidade Federal do Rio de Janeiro, Rio de Janeiro 21941-901, Brazil)

  • Ana Catarina Jorge Evangelista

    (School of Computing, Engineering and Mathematics, Western Sydney University, Penrith, NSW 2751, Australia)

  • Ahmed W. A. Hammad

    (Faculty of Built Environment, New South Wales University, Sydney, NSW 2052, Australia)

  • Assed Haddad

    (Program de Engenharia Ambiental, Universidade Federal do Rio de Janeiro, Rio de Janeiro 21941-901, Brazil)

Abstract

Buildings demand a significant amount of energy during their life cycles, hence, effective design measures need to be adopted to ensure efficient energy usage and management in buildings. This study proposes a framework based on various performance parameters to enable decision-makers utilizing standard procedures and software to empower the process of sustainable energy use and management in buildings, through a parametric analysis in different climatic conditions. Experimental design is adopted within the framework via the use of various performance parameters related to the building design (i.e., construction materials for exterior walls and roofs, as well as a set of window-to-wall ratios). Results indicate that climate data plays a fundamental role in the choice of design factors that are best suited for effective energy consumption in buildings. In particular, sub-type climate classifications, as opposed to the primary climate group, have a minor influence. Around 15% improvement in the energy consumption in buildings is noticed due to changes to the design factor such as the window-to-wall ratio. Insights that can be gleaned from this study include the impact of space area, exterior openings and material thickness and choice for the envelope of the building in all climate classifications, aiding in the design of low-energy buildings.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:8:p:1515-:d:224896
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/12/8/1515/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/12/8/1515/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. WoonSeong Jeong & JeongWook Son, 2016. "An Algorithm to Translate Building Topology in Building Information Modeling into Object-Oriented Physical Modeling-Based Building Energy Modeling," Energies, MDPI, vol. 9(1), pages 1-23, January.
    2. Chilkoti, Vinod & Bolisetti, Tirupati & Balachandar, Ram, 2017. "Climate change impact assessment on hydropower generation using multi-model climate ensemble," Renewable Energy, Elsevier, vol. 109(C), pages 510-517.
    3. Lukas Lundström & Jan Akander & Jesús Zambrano, 2019. "Development of a Space Heating Model Suitable for the Automated Model Generation of Existing Multifamily Buildings—A Case Study in Nordic Climate," Energies, MDPI, vol. 12(3), pages 1-27, February.
    4. Seokho Kim & Yujin Song & Yoondong Sung & Donghyun Seo, 2019. "Development of a Consecutive Occupancy Estimation Framework for Improving the Energy Demand Prediction Performance of Building Energy Modeling Tools," Energies, MDPI, vol. 12(3), pages 1-21, January.
    5. Žigart, Maja & Kovačič Lukman, Rebeka & Premrov, Miroslav & Žegarac Leskovar, Vesna, 2018. "Environmental impact assessment of building envelope components for low-rise buildings," Energy, Elsevier, vol. 163(C), pages 501-512.
    6. Halil Alibaba, 2016. "Determination of Optimum Window to External Wall Ratio for Offices in a Hot and Humid Climate," Sustainability, MDPI, vol. 8(2), pages 1-21, February.
    7. Yinan Li & Neng Zhu & Beibei Qin, 2019. "What Affects the Progress and Transformation of New Residential Building Energy Efficiency Promotion in China: Stakeholders’ Perceptions," Energies, MDPI, vol. 12(6), pages 1-41, March.
    8. Haolia Rahman & Hwataik Han, 2019. "Correlation of Ventilative Cooling Potentials and Building Energy Savings in Various Climatic Zones," Energies, MDPI, vol. 12(6), pages 1-10, March.
    9. 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.
    10. Anand, Chirjiv Kaur & Amor, Ben, 2017. "Recent developments, future challenges and new research directions in LCA of buildings: A critical review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 67(C), pages 408-416.
    11. GhaffarianHoseini, Ali & Zhang, Tongrui & Nwadigo, Okechukwu & GhaffarianHoseini, Amirhosein & Naismith, Nicola & Tookey, John & Raahemifar, Kaamran, 2017. "Application of nD BIM Integrated Knowledge-based Building Management System (BIM-IKBMS) for inspecting post-construction energy efficiency," Renewable and Sustainable Energy Reviews, Elsevier, vol. 72(C), pages 935-949.
    12. Ilaria Ballarini & Giovanna De Luca & Argun Paragamyan & Anna Pellegrino & Vincenzo Corrado, 2019. "Transformation of an Office Building into a Nearly Zero Energy Building (nZEB): Implications for Thermal and Visual Comfort and Energy Performance," Energies, MDPI, vol. 12(5), pages 1-18, March.
    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. Mohammad K. Najjar & Eduardo Linhares Qualharini & Ahmed W. A. Hammad & Dieter Boer & Assed Haddad, 2019. "Framework for a Systematic Parametric Analysis to Maximize Energy Output of PV Modules Using an Experimental Design," Sustainability, MDPI, vol. 11(10), pages 1-24, May.
    2. Jitka Mohelníková & Miloslav Novotný & Pavla Mocová, 2020. "Evaluation of School Building Energy Performance and Classroom Indoor Environment," Energies, MDPI, vol. 13(10), pages 1-17, May.
    3. Carlo Iapige De Gaetani & Andrea Macchi & Pasquale Perri, 2020. "Joint Analysis of Cost and Energy Savings for Preliminary Design Alternative Assessment," Sustainability, MDPI, vol. 12(18), pages 1-18, September.
    4. Cristina Piselli & Jessica Romanelli & Matteo Di Grazia & Augusto Gavagni & Elisa Moretti & Andrea Nicolini & Franco Cotana & Francesco Strangis & Henk J. L. Witte & Anna Laura Pisello, 2020. "An Integrated HBIM Simulation Approach for Energy Retrofit of Historical Buildings Implemented in a Case Study of a Medieval Fortress in Italy," Energies, MDPI, vol. 13(10), pages 1-21, May.
    5. Aniela Kaminska, 2019. "Impact of Heating Control Strategy and Occupant Behavior on the Energy Consumption in a Building with Natural Ventilation in Poland," Energies, MDPI, vol. 12(22), pages 1-18, November.
    6. Mikhail Demianenko & Carlo Iapige De Gaetani, 2021. "A Procedure for Automating Energy Analyses in the BIM Context Exploiting Artificial Neural Networks and Transfer Learning Technique," Energies, MDPI, vol. 14(10), pages 1-18, May.
    7. Faham Tahmasebinia & Ruifeng Jiang & Samad Sepasgozar & Jinlin Wei & Yilin Ding & Hongyi Ma, 2022. "Using Regression Model to Develop Green Building Energy Simulation by BIM Tools," Sustainability, MDPI, vol. 14(10), pages 1-25, 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. Mohammad K. Najjar & Eduardo Linhares Qualharini & Ahmed W. A. Hammad & Dieter Boer & Assed Haddad, 2019. "Framework for a Systematic Parametric Analysis to Maximize Energy Output of PV Modules Using an Experimental Design," Sustainability, MDPI, vol. 11(10), pages 1-24, May.
    2. Yorgos Spanodimitriou & Giovanni Ciampi & Michelangelo Scorpio & Niloufar Mokhtari & Ainoor Teimoorzadeh & Roberta Laffi & Sergio Sibilio, 2022. "Passive Strategies for Building Retrofitting: Performances Analysis and Incentive Policies for the Iranian Scenario," Energies, MDPI, vol. 15(5), pages 1-22, February.
    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. Yang, Sungwoong & Cho, Hyun Mi & Yun, Beom Yeol & Hong, Taehoon & Kim, Sumin, 2021. "Energy usage and cost analysis of passive thermal retrofits for low-rise residential buildings in Seoul," Renewable and Sustainable Energy Reviews, Elsevier, vol. 151(C).
    5. Amir Faraji & Maria Rashidi & Fatemeh Rezaei & Payam Rahnamayiezekavat, 2023. "A Meta-Synthesis Review of Occupant Comfort Assessment in Buildings (2002–2022)," Sustainability, MDPI, vol. 15(5), pages 1-36, February.
    6. 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.
    7. Kong, Minjin & Lee, Minhyun & Kang, Hyuna & Hong, Taehoon, 2021. "Development of a framework for evaluating the contents and usability of the building life cycle assessment tool," Renewable and Sustainable Energy Reviews, Elsevier, vol. 150(C).
    8. Mastrucci, Alessio & Marvuglia, Antonino & Leopold, Ulrich & Benetto, Enrico, 2017. "Life Cycle Assessment of building stocks from urban to transnational scales: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 74(C), pages 316-332.
    9. Pau Fonseca i Casas & Antoni Fonseca i Casas, 2017. "Using Specification and Description Language for Life Cycle Assesment in Buildings," Sustainability, MDPI, vol. 9(6), pages 1-17, June.
    10. Alejandro Padilla-Rivera & Ben Amor & Pierre Blanchet, 2018. "Evaluating the Link between Low Carbon Reductions Strategies and Its Performance in the Context of Climate Change: A Carbon Footprint of a Wood-Frame Residential Building in Quebec, Canada," Sustainability, MDPI, vol. 10(8), pages 1-20, August.
    11. Kim, Rakhyun & Tae, Sungho & Roh, Seungjun, 2017. "Development of low carbon durability design for green apartment buildings in South Korea," Renewable and Sustainable Energy Reviews, Elsevier, vol. 77(C), pages 263-272.
    12. Piotr Michalak, 2023. "Simulation and Experimental Study on the Use of Ventilation Air for Space Heating of a Room in a Low-Energy Building," Energies, MDPI, vol. 16(8), pages 1-17, April.
    13. Bai, Yefei & Yu, Cong & Pan, Wei, 2024. "Systematic examination of energy performance gap in low-energy buildings," Renewable and Sustainable Energy Reviews, Elsevier, vol. 202(C).
    14. ChungYeon Won & SangTae No & Qamar Alhadidi, 2019. "Factors Affecting Energy Performance of Large-Scale Office Buildings: Analysis of Benchmarking Data from New York City and Chicago," Energies, MDPI, vol. 12(24), pages 1-17, December.
    15. Zhang, Yi & Cheng, Chuntian & Yang, Tiantian & Jin, Xiaoyu & Jia, Zebin & Shen, Jianjian & Wu, Xinyu, 2022. "Assessment of climate change impacts on the hydro-wind-solar energy supply system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 162(C).
    16. Michał Musiał & Lech Lichołai & Dušan Katunský, 2023. "Modern Thermal Energy Storage Systems Dedicated to Autonomous Buildings," Energies, MDPI, vol. 16(11), pages 1-28, May.
    17. 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.
    18. Ngoc-Son Truong & Duc Long Luong & Quang Trung Nguyen, 2023. "BIM to BEM Transition for Optimizing Envelope Design Selection to Enhance Building Energy Efficiency and Cost-Effectiveness," Energies, MDPI, vol. 16(10), pages 1-24, May.
    19. 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.
    20. Kristian Skeie & Arild Gustavsen, 2021. "Utilising Open Geospatial Data to Refine Weather Variables for Building Energy Performance Evaluation—Incident Solar Radiation and Wind-Driven Infiltration Modelling," Energies, MDPI, vol. 14(4), pages 1-32, February.

    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:12:y:2019:i:8:p:1515-:d:224896. 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.