کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
7007721 1455253 2018 16 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Optimization of a hybrid system for solar-wind-based water desalination by reverse osmosis: Comparison of approaches
ترجمه فارسی عنوان
بهینه سازی یک سیستم ترکیبی برای شستشوی آب آبی خورشیدی با استفاده از اسمز معکوس: مقایسه رویکردها
کلمات کلیدی
سیستم ترکیبی مستقل، انرژی خورشیدی، انرژی باد، نمک زدایی اسمز معکوس، رویکرد بهینه سازی،
موضوعات مرتبط
مهندسی و علوم پایه مهندسی شیمی تصفیه و جداسازی
چکیده انگلیسی
Nineteen evolutionary algorithms, including single and hybrid optimization algorithms, are used for determining the optimum size of a hybrid renewable energy system (HRES) that is comprised of a wind turbine, a photovoltaic panel, a battery bank, and a reverse osmosis desalination unit. The main source electrical power for the reverse-osmosis desalination unit for producing fresh water is solar and wind energy, and batteries are used as back up units. Integer and continuous variables in the HRES optimization model for a remote area of Iran are considered. The optimization aims to meet the load continuously while minimizing the HRES life cycle cost subject to relevant constraints. Also, to ensure reliability, the reliability index is assessed for the loss of power supply probability. In order to achieve optimal performance, various versions well-known optimization approaches are used: particle swarm optimization, bee swarm optimization, harmony search, simulated annealing, chaotic search, and tabu search algorithm. The results show that hybrid optimization techniques provide the best performance among the considered evolutionary algorithms and that using the HRES reduces system costs and increases system reliability in general and for increasing fresh water availability.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Desalination - Volume 442, 15 September 2018, Pages 16-31
نویسندگان
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