An integrated framework for automatic green building evaluation: A case study of China

Qiufeng HE, Zezhou WU, Xiangsheng CHEN

PDF(19184 KB)
PDF(19184 KB)
Front. Eng ›› 2024, Vol. 11 ›› Issue (2) : 269-287. DOI: 10.1007/s42524-023-0274-0
Construction Engineering and Intelligent Construction
RESEARCH ARTICLE

An integrated framework for automatic green building evaluation: A case study of China

Author information +
History +

Abstract

With the burgeoning emphasis on sustainable construction practices in China, the demand for green building assessment has significantly escalated. The overall evaluation process comprises two key components: The acquisition of evaluation data and the evaluation of green scores, both of which entail considerable time and effort. Previous research predominantly concentrated on automating the latter process, often neglecting the exploration of automating the former in accordance with the Chinese green building assessment system. Furthermore, there is a pressing requirement for more streamlined management of structured standard knowledge to facilitate broader dissemination. In response to these challenges, this paper presents a conceptual framework that integrates building information modeling, ontology, and web map services to augment the efficiency of the overall evaluation process and the management of standard knowledge. More specifically, in accordance with the Assessment Standard for Green Building (GB/T 50378-2019) in China, this study innovatively employs visual programming software, Dynamo in Autodesk Revit, and the application programming interface of web map services to expedite the acquisition of essential architectural data and geographic information for green building assessment. Subsequently, ontology technology is harnessed to visualize the management of standard knowledge related to green building assessment and to enable the derivation of green scores through logical reasoning. Ultimately, a residential building is employed as a case study to validate the theoretical and technical feasibility of the developed automated evaluation conceptual framework for green buildings. The research findings hold valuable utility in providing a self-assessment method for applicants in the field.

Graphical abstract

Keywords

automatic evaluation / green building / BIM / web map service / ontology inference application

Cite this article

Download citation ▾
Qiufeng HE, Zezhou WU, Xiangsheng CHEN. An integrated framework for automatic green building evaluation: A case study of China. Front. Eng, 2024, 11(2): 269‒287 https://doi.org/10.1007/s42524-023-0274-0

References

[1]
AbdelalimA MAbo.elsaudY (2019). Integrating BIM-based simulation technique for sustainable building design. In: Proceedings of the 2nd GeoMEast International Congress and Exhibition on Sustainable Civil Infrastructures. Egypt: Springer, 209–238
[2]
Ansah, M K Chen, X Yang, H Lu, L Lam, P T I (2019). A review and outlook for integrated BIM application in green building assessment. Sustainable Cities and Society, 48: 101576
CrossRef Google scholar
[3]
Azhar, S Carlton, W A Olsen, D Ahmad, I (2011). Building information modeling for sustainable design and LEED® rating analysis. Automation in Construction, 20( 2): 217–224
CrossRef Google scholar
[4]
Bampou, P (2017). Green buildings for Egypt: A call for an integrated policy. International Journal of Sustainable Energy, 36( 10): 994–1009
CrossRef Google scholar
[5]
BJMCHURD (Beijing Municipal Commission of Housing and Urban-Rural Development) (2022). List of Smart Site Practices for Housing Construction and Municipal Infrastructure Projects in Beijing (2022) (in Chinese)
[6]
Chen, P H Nguyen, T C (2017). Integrating web map service and building information modeling for location and transportation analysis in green building certification process. Automation in Construction, 77: 52–66
CrossRef Google scholar
[7]
DHURDHP (Department of Housing and Urban-Rural Development of Hubei Province) (2022). Notice on Carrying Out the Pilot Work of BIM Examination of Construction Drawings (in Chinese)
[8]
DHURDSZ (Department of Housing and Urban-Rural Development of Shenzhen City) (2022). Notice of Fire Protection Design Review, Construction Permit and Joint Acceptance of Completion Based on BIM Construction Application System Function Online Trial Operation (in Chinese)
[9]
Ding, Z K Fan, Z Tam, V W Y Bian, Y Li, S Illankoon, I M C S Moon, S (2018). Green building evaluation system implementation. Building and Environment, 133: 32–40
CrossRef Google scholar
[10]
Du, J He, R Sugumaran, V (2016). Clustering and ontology-based information integration framework for surface subsidence risk mitigation in underground tunnels. Cluster Computing, 19( 4): 2001–2014
CrossRef Google scholar
[11]
El-Gohary, N M El-Diraby, T E (2010). Domain ontology for processes in infrastructure and construction. Journal of Construction Engineering and Management, 136( 7): 730–744
CrossRef Google scholar
[12]
Gao, S Ren, G Li, H (2022). Knowledge management in construction health and safety based on ontology modeling. Applied Sciences, 12( 17): 8574
CrossRef Google scholar
[13]
Guo, K Li, Q Zhang, L Wu, X (2021). BIM-based green building evaluation and optimization: A case study. Journal of Cleaner Production, 320: 128824
CrossRef Google scholar
[14]
Huang, Y Pan, L He, Y Xie, Z Zheng, X (2022). A BIM-WMS management tool for the reverse logistics supply chain of demolition waste. Sustainability, 14( 23): 16053
CrossRef Google scholar
[15]
Huo, T Cao, R Xia, N Hu, X Cai, W Liu, B (2022). Spatial correlation network structure of China’s building carbon emissions and its driving factors: A social network analysis method. Journal of Environmental Management, 320: 115808
CrossRef Google scholar
[16]
Ilhan, B Yaman, H (2016). Green building assessment tool (GBAT) for integrated BIM-based design decisions. Automation in Construction, 70: 26–37
CrossRef Google scholar
[17]
Illankoon, I M C S Tam, V W Y Le, K N Shen, L (2017). Key credit criteria among international green building rating tools. Journal of Cleaner Production, 164: 209–220
CrossRef Google scholar
[18]
Jalaei, F Jalaei, F Mohammadi, S (2020). An integrated BIM-LEED application to automate sustainable design assessment framework at the conceptual stage of building projects. Sustainable Cities and Society, 53: 101979
CrossRef Google scholar
[19]
Jiang, S Wang, N Wu, J (2018). Combining BIM and ontology to facilitate intelligent green building evaluation. Journal of Computing in Civil Engineering, 32( 5): 04018039
CrossRef Google scholar
[20]
JNMBHURD (Jinan Municipal Bureau of Housing and Urban-Rural Development) (2021). Notice of Shandong Provincial Department of Housing and Urban-Rural Development on Conscientiously Implementing “Green Building Design Standards” and “Green Building Evaluation Standards” (in Chinese)
[21]
Lee, S Kim, K Yu, J (2014). BIM and ontology-based approach for building cost estimation. Automation in Construction, 41: 96–105
CrossRef Google scholar
[22]
Li, K Ma, M Xiang, X Feng, W Ma, Z Cai, W Ma, X (2022). Carbon reduction in commercial building operations: A provincial retrospection in China. Applied Energy, 306: 118098
CrossRef Google scholar
[23]
Li, S Lu, Y Kua, H W Chang, R (2020). The economics of green buildings: A life cycle cost analysis of non-residential buildings in tropic climates. Journal of Cleaner Production, 252: 119771
CrossRef Google scholar
[24]
Lu, Y Wu, Z Chang, R Li, Y (2017). Building Information Modeling (BIM) for green buildings: A critical review and future directions. Automation in Construction, 83: 134–148
CrossRef Google scholar
[25]
MHURD (Ministry of Housing and Urban-Rural Development) of the PRC (2019). Assessment Standard for Green Building (in Chinese)
[26]
Nguyen, T H Toroghi, S H Jacobs, F (2016). Automated green building rating system for building designs. Journal of Architectural Engineering, 22( 4): A4015001
CrossRef Google scholar
[27]
Olawumi, T O Chan, D W M (2021). Green-building information modelling (Green-BIM) assessment framework for evaluating sustainability performance of building projects: A case of Nigeria. Architectural Engineering and Design Management, 17( 5–6): 458–477
CrossRef Google scholar
[28]
Olawumi, T O Chan, D W M Chan, A P C Wong, J K W (2020). Development of a building sustainability assessment method (BSAM) for developing countries in sub-Saharan Africa. Journal of Cleaner Production, 263: 121514
CrossRef Google scholar
[29]
Qi, Y Stern, N He, J K Lu, J Q Liu, T L King, D Wu, T (2020). The policy-driven peak and reduction of China’s carbon emissions. Advances in Climate Change Research, 11( 2): 65–71
CrossRef Google scholar
[30]
Qin, Y Ke, J Wang, B Filaretov, G F (2022). Energy optimization for regional buildings based on distributed reinforcement learning. Sustainable Cities and Society, 78: 103625
CrossRef Google scholar
[31]
Qiu, Y Kahn, M E (2019). Impact of voluntary green certification on building energy performance. Energy Economics, 80: 461–475
CrossRef Google scholar
[32]
Shen, Q Wu, S Deng, Y Deng, H Cheng, J C P (2022a). BIM-based dynamic construction safety rule checking using ontology and natural language processing. Buildings, 12( 5): 564
CrossRef Google scholar
[33]
Shen, Y Xu, M Lin, Y Cui, C Shi, X Liu, Y (2022b). Safety risk management of prefabricated building construction based on ontology technology in the BIM environment. Buildings, 12( 6): 765
CrossRef Google scholar
[34]
Shi, Y Xu, J (2021). BIM-based information system for econo-enviro-friendly end-of-life disposal of construction and demolition waste. Automation in Construction, 125: 103611
CrossRef Google scholar
[35]
Subramanyam, V Ahiduzzaman, M Kumar, A (2017). Greenhouse gas emissions mitigation potential in the commercial and institutional sector. Energy and Building, 140: 295–304
CrossRef Google scholar
[36]
Uğur, L O Leblebici, N (2018). An examination of the LEED green building certification system in terms of construction costs. Renewable & Sustainable Energy Reviews, 81: 1476–1483
CrossRef Google scholar
[37]
United Nations Environment Programme (2021). 2021 Global Status Report for Buildings and Construction: Towards a Zero-Emissions, Efficient and Resilient Buildings and Construction Sector. Nairobi
[38]
Wang, L Xue, X Yang, R J Luo, X Zhao, H (2019). Built environment and management: Exploring grand challenges and management issues in built environment. Frontiers of Engineering Management, 6( 3): 313–326
CrossRef Google scholar
[39]
Wong, J K W Kuan, K L (2014). Implementing “BEAM Plus” for BIM-based sustainability analysis. Automation in Construction, 44: 163–175
CrossRef Google scholar
[40]
Wu, Z He, Q Chen, Q Xue, H Li, S (2021). A topical network based analysis and visualization of global research trends on green building from 1990 to 2020. Journal of Cleaner Production, 320: 128818
CrossRef Google scholar
[41]
Ye, L Cheng, Z Wang, Q Lin, H Lin, C Liu, B (2015). Developments of green building standards in China. Renewable Energy, 73: 115–122
CrossRef Google scholar
[42]
YNET (Beijing Youth Net) (2022). Ministry of Housing and Urban-Rural Development: Over 2 billion m2 of green buildings have been built in China (in Chinese)
[43]
Yu, L Wu, S Jiang, L Ding, B Shi, X (2022). Do more efficient buildings lead to lower household energy consumption for cooling? Evidence from Guangzhou, China. Energy Policy, 168: 113119
CrossRef Google scholar
[44]
Yu, W Li, B Yang, X Wang, Q (2015). A development of a rating method and weighting system for green store buildings in China. Renewable Energy, 73: 123–129
CrossRef Google scholar
[45]
Zhang, D Zhang, J Guo, J Xiong, H (2019). A semantic and social approach for real-time green building rating in BIM-based design. Sustainability, 11( 14): 3973
CrossRef Google scholar
[46]
Zhang, M Zhu, M Zhao, X (2020). Recognition of high-risk scenarios in building construction based on image semantics. Journal of Computing in Civil Engineering, 34( 4): 04020019
CrossRef Google scholar
[47]
Zhang, S Boukamp, F Teizer, J (2015). Ontology-based semantic modeling of construction safety knowledge: Towards automated safety planning for job hazard analysis (JHA). Automation in Construction, 52: 29–41
CrossRef Google scholar
[48]
Zhang, Y Wang, J Hu, F Wang, Y (2017). Comparison of evaluation standards for green building in China, Britain, United States. Renewable & Sustainable Energy Reviews, 68: 262–271
CrossRef Google scholar
[49]
Zheng, Y Torma, S Seppanen, O (2021). A shared ontology suite for digital construction workflow. Automation in Construction, 132: 103930
CrossRef Google scholar
[50]
Zhong, B Gan, C Luo, H Xing, X (2018). Ontology-based framework for building environmental monitoring and compliance checking under BIM environment. Building and Environment, 141: 127–142
CrossRef Google scholar
[51]
Zhu, C Yang, Z Huang, B Li, X (2023). Embodied carbon emissions in China’s building sector: Historical track from 2005 to 2020. Buildings, 13( 1): 211
CrossRef Google scholar

Competing Interests

The authors declare that they have no competing interests.

RIGHTS & PERMISSIONS

2024 Higher Education Press
AI Summary AI Mindmap
PDF(19184 KB)

Accesses

Citations

Detail

Sections
Recommended

/