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

doi:10.1007/s42524-023-0274-0

Front. Eng

2024, Vol. 11

Issue (2) : 269-287 https://doi.org/10.1007/s42524-023-0274-0

Construction Engineering and Intelligent Construction

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

Qiufeng HE¹, Zezhou WU¹(

), Xiangsheng CHEN²

¹. State Key Laboratory of Intelligent Geotechnics and Tunnelling, Shenzhen 518060, China; Key Laboratory for Resilient Infrastructures of Coastal Cities (Shenzhen University), Ministry of Education, Shenzhen 518060, China; Sino-Australia Joint Research Centre in BIM and Smart Construction, Shenzhen University, Shenzhen 518060, China; Shenzhen Key Laboratory of Green, Efficient and Intelligent Construction of Underground Metro Station, Shenzhen 518060, China
². State Key Laboratory of Intelligent Geotechnics and Tunnelling, Shenzhen 518060, China; Key Laboratory for Resilient Infrastructures of Coastal Cities (Shenzhen University), Ministry of Education, Shenzhen 518060, China; Shenzhen Key Laboratory of Green, Efficient and Intelligent Construction of Underground Metro Station, Shenzhen 518060, China

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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.

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

Corresponding Author(s): Zezhou WU

Just Accepted Date: 28 December 2023 Online First Date: 05 February 2024 Issue Date: 26 June 2024

Cite this article:

Qiufeng HE,Zezhou WU,Xiangsheng CHEN. An integrated framework for automatic green building evaluation: A case study of China[J]. Front. Eng, 2024, 11(2): 269-287.

URL:

https://academic.hep.com.cn/fem/EN/10.1007/s42524-023-0274-0
https://academic.hep.com.cn/fem/EN/Y2024/V11/I2/269

Tab.1 Mainstream green building evaluation system in the world

Reference	Evaluation system and credit category	Country	Credit category for automatic evaluation
Nguyen et al. (2016)	LEED v4 • Materials and resources • Location and transportation • Sustainable sites • Water efficiency • Energy and atmosphere • Indoor environmental quality • Innovation in design • Regional priority	United States	• Location and transportation
Abdelalim and Abo.elsaud (2019)	LEED v4 • Materials and resources • Location and transportation • Sustainable sites • Water efficiency • Energy and atmosphere • Indoor environmental quality • Innovation in design • Regional priority	United States	• Location and transportation • Sustainable sites
Olawumi and Chan (2021)	BSAM scheme • Sustainable construction practices • Site and ecology • Energy • Water • Material and waste • Transportation • Indoor environmental quality • Building management	Nigeria	• Sustainable construction practices • Site and ecology • Energy
Ilhan and Yaman (2016)	BREEAM Europe Commercial 2009 • Management • Health and wellbeing • Energy • Transport • Water • Materials • Waste • Land use and ecology • Pollution	United Kingdom	• Materials
Jiang et al. (2018)	ASGB (GB/T 50378-2014) • Land saving and land utilization • Energy saving and energy resource utilization • Water saving and water resource utilization • Material saving and material resource utilization • Indoor air quality • Construction management • Operation management	China	• Land saving and land utilization
Chen and Nguyen (2017)	LEED for New Construction v2009 • Materials and resources • Location and transportation • Sustainable sites • Water efficiency • Energy and atmosphere • Indoor environmental quality • Innovation in design • Regional priority	United States	• Location and transportation
Jalaei et al. (2020)	LEED v4 • Materials and resources • Location and transportation • Sustainable sites • Water efficiency • Energy and atmosphere • Indoor environmental quality • Innovation in design • Regional priority	United States	• Materials and resources • Location and transportation • Sustainable sites • Water efficiency • Energy and atmosphere • Indoor environmental quality • Innovation in design • Regional priority

Tab.2 Research on automatic evaluation for green buildings

Fig.1 The conceptual framework for the automatic evaluation of green buildings.

Fig.2 BIM model parameter data extraction process based on Dynamo.

Fig.3 Design structure for the geographic data collection platform.

Tab.3 Established classes for ASGB

Fig.4 BIM models of the case building.

Fig.5 Visualization of the evaluation index data based on BIM.

Fig.6 Visual programming on the Dynamo platform to collect evaluation data.

Fig.7 The platform used to retrieve the evaluation data for WMS items.

Fig.8 Evaluation data acquisition results in APP for Clause 6.1.2 and Clause 6.2.1.1.

Tab.4 Evaluation data for WMS items

Fig.9 Ontology model.

Fig.10 SWRL rules.

Fig.11 Modify the data attribute of instance es6_2_4_1.

Fig.12 Ontology inference.

Fig.13 Green score of case building.

Number of items	Evaluation object	Evaluation index	Data acquisition method	LOD
6.1.1	Walking system	Features of accessibility	Visual viewing	300
6.1.3	Car parking space	Barrier-free car parking space proportion	Dynamo based development	300
6.1.5	Equipment management system	Automatic monitoring and management functions	Dynamo based development	300
6.1.6	Information network system	Equipped with this system	Visual viewing	200
6.2.2.1	Public road or place	Barrier-free	Visual viewing	300
6.2.2.2	Wall or column	Rounded	Visual viewing	300
6.2.2.3	Elevator	Stretcher-capable and barrier-free	Dynamo based development	300
6.2.3.2.1	Conference facilities or fitness facilities	Serving the public	Dynamo based development	400
6.2.3.2.2	Library, stadium, or parking space	Serving the public	Dynamo based development	300
6.2.3.2.3	Parking spaces with charging points	Quantity	Dynamo based development	300
6.2.3.2.5	Grounds or public walkways	Serving the public	Dynamo based development	400
6.2.5.1	Outdoor fitness venue	Area	Dynamo based development	300
6.2.5.2	Fitness lane	Width and circumference	Dynamo based development	300
6.2.5.3	Indoor fitness venue	Area	Dynamo based development	300
6.2.5.4	Stairwell	Distance	Dynamo based development	400
6.2.6	Energy management system	Use energy automatic remote transmission function and energy consumption monitoring, analysis, and management functions	Visual viewing	400
6.2.7	Air quality monitoring system	Monitor PM₁₀, PM_2.5, CO₂ function and store monitoring data function and real-time display	Dynamo based development	400
6.2.8.1	Water remote metering system	Classification, grading record, and statistical analysis of various water use functions	Dynamo based development	400
6.2.8.2	Water remote metering system	Automatic monitoring, analysis and rectification functions	Dynamo based development	400
6.2.8.3	Water quality monitoring system	Monitor the water quality and save the results	Dynamo based development	500
6.2.9.1	Intelligent service system	Alarm, monitoring and control functions	Dynamo based development	400
6.2.9.2	Intelligent service system	Remote monitoring function	Dynamo based development	400
6.2.9.3	Intelligent service system	Access smart city functions	Dynamo based development	400

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