Resources Saving Performance Evaluation of Huizhou Residential Houses Design Scheme
Lingxiao Wang and
Xuexue Yang ()
Additional contact information
Lingxiao Wang: Ocean University of China
Xuexue Yang: Ocean University of China
A chapter in Proceedings of the 25th International Symposium on Advancement of Construction Management and Real Estate, 2021, pp 341-353 from Springer
Abstract:
Abstract The contradiction between the increasing demand for housing and the shortage of resources in Huizhou makes it important to consider saving resources when designing Huizhou houses. It is particularly important to evaluate the resources saving performance of the design scheme of Huizhou houses scientifically and accurately. This paper combined the resources saving items of the GB/T 50378-2019 “Evaluation Standards of Green Building” (ESGB) with BIM software’s to evaluate the performance of resources saving with the typical residential design scheme of Huizhou, and the original design scheme is optimized according to the evaluation results. The final results show that the optimized design scheme of residential house is more in line with the purpose of green building in the field of energy and material saving, and the capability of resources saving has been improved. The evaluation method proposed in this paper can accurately quantify the resources saving performance of residential house design scheme in Huizhou, which promotes the sustainable development of buildings.
Keywords: Huizhou residential houses; BIM; Green building; Design scheme; Evaluation of resources saving performance (search for similar items in EconPapers)
Date: 2021
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-981-16-3587-8_23
Ordering information: This item can be ordered from
http://www.springer.com/9789811635878
DOI: 10.1007/978-981-16-3587-8_23
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().