干旱区生态环境知识资源中心(Arid): Efficiency-based Pareto Optimization of Building Energy Consumption and Thermal Comfort: A Case Study of a Residential Building in Bushehr, Iran

Arid

DOI	10.1007/s11630-023-1933-5
	Efficiency-based Pareto Optimization of Building Energy Consumption and Thermal Comfort: A Case Study of a Residential Building in Bushehr, Iran
	Nasouri, Masoud; Delgarm, Navid
通讯作者	Delgarm, N
来源期刊	JOURNAL OF THERMAL SCIENCE
ISSN	1003-2169
EISSN	1993-033X
出版年	2023
英文摘要	In Iran, the intensity of energy consumption in the building sector is almost 3 times the world average, and due to the consumption of fossil fuels as the main source of energy in this sector, as well as the lack of optimal design of buildings, it has led to excessive release of toxic gases into the environment. This research develops an efficient approach for the simulation-oriented Pareto optimization (SOPO) of building energy efficiency to assist engineers in optimal building design in early design phases. To this end, EnergyPlus, as one of the most powerful and well-known whole-building simulation programs, is combined with the Multi-objective Ant Colony Optimization (MOACO) algorithm through the JAVA programming language. As a result, the capabilities of JAVA programming are added to EnergyPlus without the use of other plugins and third parties. To evaluate the effectiveness of the developed method, it was performed on a residential building located in the hot and semi-arid region of Iran. To obtain the optimum configuration of the building under investigation, the building rotation, window-to-wall ratio, tilt angle of shading device, depth of shading device, color of the external walls, area of solar collector, tilt angle of solar collector, rotation of solar collector, cooling and heating setpoints of heating, ventilation, and air conditioning (HVAC) system are chosen as decision variables. Further, the building energy consumption (BEC), solar collector efficiency (SCE), and predicted percentage of dissatisfied (PPD) index as a measure of the occupants' thermal comfort level are chosen as the objective functions. The single-objective optimization (SO) and Pareto optimization (PO) are performed. The obtained results are compared to the initial values of the basic model. The optimization results depict that the PO provides optimal solutions more reliable than those obtained by the SOs, owing to the lower value of the deviation index. Moreover, the optimal solutions extracted through the PO are depicted in the form of Pareto fronts. Eventually, the Linear Programming Technique for Multidimensional Analysis of Preference (LINMAP) technique as one of the well-known multi-criteria decision-making (MCDM) methods is utilized to adopt the optimum building configuration from the set of Pareto optimal solutions. Further, the results of PO show that although BEC increases from 136 GJ to 140 GJ, PPD significantly decreases from 26% to 8% and SCE significantly increases from 16% to 25%. The introduced SOPO method suggests an effective and practical approach to obtain optimal solutions during the building design phase and provides an opportunity for building engineers to have a better picture of the range of options for decision-making. In addition, the method presented in this study can be applied to different types of buildings in different climates.
英文关键词	building energy consumption thermal comfort collector efficiency simulation-oriented pareto optimization
类型	Article ; Early Access
语种	英语
收录类别	SCI-E
WOS记录号	WOS:001133120300002
WOS关键词	SIMULATION-BASED OPTIMIZATION ; ANT COLONY OPTIMIZATION ; MULTIOBJECTIVE OPTIMIZATION ; DECISION-MAKING ; PERFORMANCE ; DESIGN ; PARAMETERS ; ALGORITHM
WOS类目	Thermodynamics ; Engineering, Mechanical
WOS研究方向	Thermodynamics ; Engineering
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/397598
推荐引用方式 GB/T 7714	Nasouri, Masoud,Delgarm, Navid. Efficiency-based Pareto Optimization of Building Energy Consumption and Thermal Comfort: A Case Study of a Residential Building in Bushehr, Iran[J],2023.
APA	Nasouri, Masoud,&Delgarm, Navid.(2023).Efficiency-based Pareto Optimization of Building Energy Consumption and Thermal Comfort: A Case Study of a Residential Building in Bushehr, Iran.JOURNAL OF THERMAL SCIENCE.
MLA	Nasouri, Masoud,et al."Efficiency-based Pareto Optimization of Building Energy Consumption and Thermal Comfort: A Case Study of a Residential Building in Bushehr, Iran".JOURNAL OF THERMAL SCIENCE (2023).