IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v373y2024ics0306261924013606.html
   My bibliography  Save this article

BIM-based building performance assessment of green buildings - A case study from China

Author

Listed:
  • Liu, Yang
  • Pedrycz, Witold
  • Deveci, Muhammet
  • Chen, Zhen-Song

Abstract

In China, traditional buildings have begun to exhibit a range of issues, such as elevated levels of energy consumption and pollution. Consequently, these concerns have led to substantial resource inefficiency and environmental degradation. The evaluation and examination of green buildings are of utmost importance in promoting sustainable development. The current green building assessment framework is intricate and lacks sufficient development in terms of visual representation. Developing a green building strategy during the initial design phase is a multifaceted process that necessitates substantial allocation of human, material, financial, and temporal resources. In this study, we propose an assessment framework that incorporates a 15 s-level and 45 three-level green building indicator system, along with a 4-level classification standard. This framework is developed based on the most recent Chinese Assessment Standard for Green Building and the utilization of a Building Information Modeling (BIM) database. Furthermore, the integration of BIM with Pathfinder software is employed to assess the safety aspects of green buildings. On top of that, the combination of BIM with Ecotect software is utilized to evaluate the environmental aspects of green buildings. In this study, we performed a case study on a teaching building located at a university in central China, specifically focusing on the simulation of green building practices. The sequential calculation involves determining the duration of personnel evacuation, assessing the lighting conditions, evaluating the thermal conditions, analyzing the sound conditions, and examining the wind conditions. In addition, efforts were made to optimize the indicators requiring enhancement in order to enhance the efficacy of green buildings.

Suggested Citation

  • Liu, Yang & Pedrycz, Witold & Deveci, Muhammet & Chen, Zhen-Song, 2024. "BIM-based building performance assessment of green buildings - A case study from China," Applied Energy, Elsevier, vol. 373(C).
    • Handle: RePEc:eee:appene:v:373:y:2024:i:c:s0306261924013606
    DOI: 10.1016/j.apenergy.2024.123977
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261924013606
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.apenergy.2024.123977?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Xiao-Juan Li & Chen Wang & Wei-bin Chen & Shilpi Bora & Jeffrey Boon Hui Yap & Bimenyimana Samuel, 2022. "Green building performance assessment in China using a cloud model," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(10), pages 11626-11650, October.
    2. Kong, Li & Hu, Guangwen & Mu, Xianzhong & Li, Guohao & Zhang, Zheng, 2023. "The energy rebound effect in households: Evidence from urban and rural areas in Beijing," Applied Energy, Elsevier, vol. 343(C).
    3. Wu, Xianguo & Li, Xinyi & Qin, Yawei & Xu, Wen & Liu, Yang, 2023. "Intelligent multiobjective optimization design for NZEBs in China: Four climatic regions," Applied Energy, Elsevier, vol. 339(C).
    4. Haili Xue & Xiao Lan & Qin Zhang & Haoguang Liang & Zixiao He, 2023. "RETRACTED ARTICLE: Assessment of the green development level for participating countries in the Belt and Road initiative," Annals of Operations Research, Springer, vol. 326(1), pages 125-125, July.
    5. Xue, Peng & Li, Qian & Xie, Jingchao & Zhao, Mengjing & Liu, Jiaping, 2019. "Optimization of window-to-wall ratio with sunshades in China low latitude region considering daylighting and energy saving requirements," Applied Energy, Elsevier, vol. 233, pages 62-70.
    6. Yueming Qiu & Matthew E. Kahn, 2018. "Better sustainability assessment of green buildings with high-frequency data," Nature Sustainability, Nature, vol. 1(11), pages 642-649, November.
    7. Ding, Zhikun & Chen, Weilin & Hu, Ting & Xu, Xiaoxiao, 2021. "Evolutionary double attention-based long short-term memory model for building energy prediction: Case study of a green building," Applied Energy, Elsevier, vol. 288(C).
    8. Qiu, Yueming & Kahn, Matthew E., 2019. "Impact of voluntary green certification on building energy performance," Energy Economics, Elsevier, vol. 80(C), pages 461-475.
    9. Galina Churkina & Alan Organschi & Christopher P. O. Reyer & Andrew Ruff & Kira Vinke & Zhu Liu & Barbara K. Reck & T. E. Graedel & Hans Joachim Schellnhuber, 2020. "Buildings as a global carbon sink," Nature Sustainability, Nature, vol. 3(4), pages 269-276, April.
    10. Andrew Francl & Josh H. McDermott, 2022. "Author Correction: Deep neural network models of sound localization reveal how perception is adapted to real-world environments," Nature Human Behaviour, Nature, vol. 6(12), pages 1743-1744, December.
    11. Pablo Aparicio-Ruiz & Elena Barbadilla-Martín & José Guadix & Pablo Cortés, 2021. "KNN and adaptive comfort applied in decision making for HVAC systems," Annals of Operations Research, Springer, vol. 303(1), pages 217-231, August.
    12. Loh, Jiong Rui & Bellam, Sreenivasulu, 2024. "Towards net zero: Evaluating energy security in Singapore using system dynamics modelling," Applied Energy, Elsevier, vol. 358(C).
    13. Garwood, Tom Lloyd & Hughes, Ben Richard & O'Connor, Dominic & Calautit, John K. & Oates, Michael R. & Hodgson, Thomas, 2018. "A framework for producing gbXML building geometry from Point Clouds for accurate and efficient Building Energy Modelling," Applied Energy, Elsevier, vol. 224(C), pages 527-537.
    14. Akinade, Olugbenga O. & Oyedele, Lukumon O. & Bilal, Muhammad & Ajayi, Saheed O. & Owolabi, Hakeem A. & Alaka, Hafiz A. & Bello, Sururah A., 2015. "Waste minimisation through deconstruction: A BIM based Deconstructability Assessment Score (BIM-DAS)," Resources, Conservation & Recycling, Elsevier, vol. 105(PA), pages 167-176.
    15. Reza Faturechi & Shabtai Isaac & Elise Miller-Hooks & Lei Feng, 2018. "Risk-based models for emergency shelter and exit design in buildings," Annals of Operations Research, Springer, vol. 262(1), pages 185-212, March.
    16. Ye, Ling & Cheng, Zhijun & Wang, Qingqin & Lin, Haiyan & Lin, Changqing & Liu, Bin, 2015. "Developments of Green Building Standards in China," Renewable Energy, Elsevier, vol. 73(C), pages 115-122.
    17. Liu, Guo & Li, Xiaohu & Tan, Yongtao & Zhang, Guomin, 2020. "Building green retrofit in China: Policies, barriers and recommendations," Energy Policy, Elsevier, vol. 139(C).
    18. Andrew Francl & Josh H. McDermott, 2022. "Deep neural network models of sound localization reveal how perception is adapted to real-world environments," Nature Human Behaviour, Nature, vol. 6(1), pages 111-133, January.
    19. Pedro, Joana & Silva, Carlos & Pinheiro, Manuel Duarte, 2019. "Integrating GIS spatial dimension into BREEAM communities sustainability assessment to support urban planning policies, Lisbon case study," Land Use Policy, Elsevier, vol. 83(C), pages 424-434.
    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. Yu Cao & Cong Xu & Syahrul Nizam Kamaruzzaman & Nur Mardhiyah Aziz, 2022. "A Systematic Review of Green Building Development in China: Advantages, Challenges and Future Directions," Sustainability, MDPI, vol. 14(19), pages 1-29, September.
    2. Qiu, Yueming (Lucy) & Wang, Yi David & Xing, Bo, 2021. "Grid impact of non-residential distributed solar energy and reduced air emissions: Empirical evidence from individual-consumer-level smart meter data," Applied Energy, Elsevier, vol. 290(C).
    3. Ariel Goldstein & Avigail Grinstein-Dabush & Mariano Schain & Haocheng Wang & Zhuoqiao Hong & Bobbi Aubrey & Samuel A. Nastase & Zaid Zada & Eric Ham & Amir Feder & Harshvardhan Gazula & Eliav Buchnik, 2024. "Alignment of brain embeddings and artificial contextual embeddings in natural language points to common geometric patterns," Nature Communications, Nature, vol. 15(1), pages 1-12, December.
    4. Mark R. Saddler & Josh H. McDermott, 2024. "Models optimized for real-world tasks reveal the task-dependent necessity of precise temporal coding in hearing," Nature Communications, Nature, vol. 15(1), pages 1-29, December.
    5. Gan, Xiaolong & Liu, Lanchi & Wen, Tao & Webber, Ronald, 2022. "Modelling interrelationships between barriers to adopting green building technologies in China's rural housing via grey-DEMATEL," Technology in Society, Elsevier, vol. 70(C).
    6. Haolan Liao & Rong Ren & Lu Li, 2023. "Existing Building Renovation: A Review of Barriers to Economic and Environmental Benefits," IJERPH, MDPI, vol. 20(5), pages 1-23, February.
    7. 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).
    8. Etienne Lorang & Antonello Lobianco & Philippe Delacote, 2023. "Increasing Paper and Cardboard Recycling: Impacts on the Forest Sector and Carbon Emissions," Post-Print hal-04690101, HAL.
    9. Waibel, Christoph & Evins, Ralph & Carmeliet, Jan, 2019. "Co-simulation and optimization of building geometry and multi-energy systems: Interdependencies in energy supply, energy demand and solar potentials," Applied Energy, Elsevier, vol. 242(C), pages 1661-1682.
    10. Zha, Donglan & Yang, Guanglei & Wang, Wenzhong & Wang, Qunwei & Zhou, Dequn, 2020. "Appliance energy labels and consumer heterogeneity: A latent class approach based on a discrete choice experiment in China," Energy Economics, Elsevier, vol. 90(C).
    11. Shariq, M. Hasan & Hughes, Ben Richard, 2020. "Revolutionising building inspection techniques to meet large-scale energy demands: A review of the state-of-the-art," Renewable and Sustainable Energy Reviews, Elsevier, vol. 130(C).
    12. Clayton, Jim & Devine, Avis & Holtermans, Rogier, 2021. "Beyond building certification: The impact of environmental interventions on commercial real estate operations," Energy Economics, Elsevier, vol. 93(C).
    13. Yana Akhtyrska & Franz Fuerst, 2021. "People or Systems: Does Productivity Enhancement Matter More than Energy Management in LEED Certified Buildings?," Sustainability, MDPI, vol. 13(24), pages 1-35, December.
    14. Cindy X. Chen & Francesca Pierobon & Susan Jones & Ian Maples & Yingchun Gong & Indroneil Ganguly, 2021. "Comparative Life Cycle Assessment of Mass Timber and Concrete Residential Buildings: A Case Study in China," Sustainability, MDPI, vol. 14(1), pages 1-17, December.
    15. Pérez-Sánchez, Laura À. & Velasco-Fernández, Raúl & Giampietro, Mario, 2022. "Factors and actions for the sustainability of the residential sector. The nexus of energy, materials, space, and time use," Renewable and Sustainable Energy Reviews, Elsevier, vol. 161(C).
    16. Sinha, Shreya & Narain, Nivedita & Bhanjdeo, Arundhita, 2022. "Building back better? Resilience as wellbeing for rural migrant households in Bihar, India," World Development, Elsevier, vol. 159(C).
    17. Creutzburg, Leonard & Lieberherr, Eva, 2021. "To log or not to log? Actor preferences and networks in Swiss forest policy," Forest Policy and Economics, Elsevier, vol. 125(C).
    18. Mojtaba Ashour & Amir Mahdiyar & Syarmila Hany Haron, 2021. "A Comprehensive Review of Deterrents to the Practice of Sustainable Interior Architecture and Design," Sustainability, MDPI, vol. 13(18), pages 1-19, September.
    19. Qing Yin & Chunmiao Han & Ailin Li & Xiao Liu & Ying Liu, 2024. "A Review of Research on Building Energy Consumption Prediction Models Based on Artificial Neural Networks," Sustainability, MDPI, vol. 16(17), pages 1-30, September.
    20. Ahn, Jonghoon & Cho, Soolyeon & Chung, Dae Hun, 2016. "Development of a statistical analysis model to benchmark the energy use intensity of subway stations," Applied Energy, Elsevier, vol. 179(C), pages 488-496.

    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:eee:appene:v:373:y:2024:i:c:s0306261924013606. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description .

    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.