干旱区生态环境知识资源中心(Arid): Design and mixed integer linear programming optimization of a solar/battery based Conex for remote areas and various climate zones

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DOI	10.1016/j.seta.2021.101104
	Design and mixed integer linear programming optimization of a solar/battery based Conex for remote areas and various climate zones
	Taslimi, Melika; Ahmadi, Pouria; Ashjaee, Mehdi; Rosen, Marc A.
通讯作者	Ahmadi, P (corresponding author), Univ Tehran, Sch Mech Engn, Coll Engn, Tehran, Iran. ; Ahmadi, P (corresponding author), Univ Ontario Inst Technol, Fac Engn & Appl Sci, Oshawa, ON L1G 0C5, Canada.
来源期刊	SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS
ISSN	2213-1388
EISSN	2213-1396
出版年	2021
卷号	45
英文摘要	In this research paper, a multi-objective optimization for sizing a stand-alone photovoltaic system for a Conex in remote areas is developed based on a mixed integer linear programming (MILP) technique. The stand-alone system is composed of a photovoltaic array, a cooling/heating system, battery banks, an inverter, and a charge controller. The MILP model is employed to obtain the optimal size and specifications of system components, including model and number of photovoltaic panels, the coefficient of performance of cooling/heating system, and the battery size, with respect to two conflicting objective functions, total cost and loss of power supply probability. The weighted factor method is employed in the model, and the final optimal solutions are achieved by MATLAB software. The suggested model is optimized for four cities in Iran, representing different climate types, but it can be utilized for any site with known climate data. In order to observe the conflict between the two objective functions, the Pareto frontiers are shown. The average cost of supplied electrical power is found to be 160,000, 250,000, 150,000, and 60,000 Iranian Rials per kWh, (180,000 Iranian Rials is equal to 1 US dollar in April 2020), for Tehran, Tabriz, Kerman, and Bandar Abbas, respectively. Based on the optimization results, the system is cost-efficient and suitable for remote applications, especially in desert and semiarid regions. Hence, the proposed system can provide the required electricity of the Conex for approximate initial costs of 440 and 290 million Rials for Kerman and Bandar Abbas, respectively. Finally, the optimum solutions through various weighted factors are shown, considering operator purpose and budget preferences, which permit advantageous utilization of solar energy.
英文关键词	Stand-alone photovoltaic system Optimal sizing Multi-objective optimization Mixed-integer linear programming Remote areas
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000694916600002
WOS关键词	MULTIOBJECTIVE OPTIMIZATION ; PHOTOVOLTAIC SYSTEM ; PV ; BATTERY ; TECHNOLOGIES ; UNCERTAINTY ; DEMAND ; MODEL ; POWER
WOS类目	Green & Sustainable Science & Technology ; Energy & Fuels
WOS研究方向	Science & Technology - Other Topics ; Energy & Fuels
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/364766
作者单位	[Taslimi, Melika; Ahmadi, Pouria; Ashjaee, Mehdi] Univ Tehran, Sch Mech Engn, Coll Engn, Tehran, Iran; [Ahmadi, Pouria; Rosen, Marc A.] Univ Ontario Inst Technol, Fac Engn & Appl Sci, Oshawa, ON L1G 0C5, Canada
推荐引用方式 GB/T 7714	Taslimi, Melika,Ahmadi, Pouria,Ashjaee, Mehdi,et al. Design and mixed integer linear programming optimization of a solar/battery based Conex for remote areas and various climate zones[J],2021,45.
APA	Taslimi, Melika,Ahmadi, Pouria,Ashjaee, Mehdi,&Rosen, Marc A..(2021).Design and mixed integer linear programming optimization of a solar/battery based Conex for remote areas and various climate zones.SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS,45.
MLA	Taslimi, Melika,et al."Design and mixed integer linear programming optimization of a solar/battery based Conex for remote areas and various climate zones".SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS 45(2021).