干旱区生态环境知识资源中心(Arid): Parametric-Based Multi-Objective Optimization Workflow: Daylight and Energy Performance Study of Hospital Building in Algeria

Arid

DOI	10.3390/su141912652
	Parametric-Based Multi-Objective Optimization Workflow: Daylight and Energy Performance Study of Hospital Building in Algeria
	Besbas, Soumaya; Nocera, Francesco; Zemmouri, Noureddine; Khadraoui, Mohamed Amine; Besbas, Asma
通讯作者	Besbas, S
来源期刊	SUSTAINABILITY
EISSN	2071-1050
出版年	2022
卷号	14 期号:19
英文摘要	Daylight is an important factor that significantly contributes to patients' healing, with a reduction in the length of stay in the hospital. It can strongly affect energy consumption negatively or positively through lighting control strategies. Therefore, the case of healthcare buildings is very particular and sensitive, especially under extreme climate conditions as in hot and arid regions. The present study aims to determine a balance between daylight use and energy consumption through a parametric-based optimization of the external shading system in a typical hospital room in Biskra. This paper demonstrates how the implementation of parametric design with evolutionary algorithms is considered a reliable strategy to reach optimum solutions in building performance problems. The daylight performance is investigated based on multi-objective optimization to minimize the Energy Use Intensity EUI, while maximizing Spatial Daylight Autonomy sDA and Useful Daylight Illuminance UDI. A simulation model was developed via Grasshopper, which was employed with the use of Ladybug, Honeybee, and Octopus plug-ins. The results revealed that the adaptive facade system can improve indoor daylight levels and energy performance simultaneously compared to the conventional shading system. The presented framework may be used as a reference model, which can enhance opportunities to solve complex design problems in the early design stages and suggest recommendations for sustainable building design.
英文关键词	parametric analysis multi-objective optimization daylight energy consumption hospital building hot and arid climate
类型	Article
语种	英语
开放获取类型	gold
收录类别	SCI-E ; SSCI
WOS记录号	WOS:000867298900001
WOS关键词	VALIDATION ; DESIGN ; SIMULATION ; FRAMEWORK ; QUALITY ; HOT
WOS类目	Green & Sustainable Science & Technology ; Environmental Sciences ; Environmental Studies
WOS研究方向	Science & Technology - Other Topics ; Environmental Sciences & Ecology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/394651
推荐引用方式 GB/T 7714	Besbas, Soumaya,Nocera, Francesco,Zemmouri, Noureddine,et al. Parametric-Based Multi-Objective Optimization Workflow: Daylight and Energy Performance Study of Hospital Building in Algeria[J],2022,14(19).
APA	Besbas, Soumaya,Nocera, Francesco,Zemmouri, Noureddine,Khadraoui, Mohamed Amine,&Besbas, Asma.(2022).Parametric-Based Multi-Objective Optimization Workflow: Daylight and Energy Performance Study of Hospital Building in Algeria.SUSTAINABILITY,14(19).
MLA	Besbas, Soumaya,et al."Parametric-Based Multi-Objective Optimization Workflow: Daylight and Energy Performance Study of Hospital Building in Algeria".SUSTAINABILITY 14.19(2022).