05 خرداد 1403
عباس رضايي

عباس رضایی

مرتبه علمی: استادیار
نشانی: دانشگاه صنعتی کرمانشاه، دانشکده مهندسی برق، مهندسی برق (گرایش های الکترونیک و مخابرات)
تحصیلات: دکترای تخصصی / مهندسی برق
تلفن: 083-38305001
دانشکده: دانشکده مهندسی برق

مشخصات پژوهش

عنوان
Artificial neural network multi-objective optimization of a novel integrated plant to produce power, cooling and potable water
نوع پژوهش مقاله چاپ شده
کلیدواژه‌ها
Geothermal energy Multi-generation Neural network Optimization
پژوهشگران تاوو های (نفر اول)، صلاح اسماعیل یحیی (نفر دوم)، جینچنگ ژوو (نفر سوم)، ابراهیم منصور (نفر چهارم)، عباس رضایی (نفر پنجم)، کبیر المامون (نفر ششم به بعد)

چکیده

This article investigates a geothermal energy-based cycle to produce power, cooling, and fresh water, using humidification-dehumidification technology. Energy, exergy, and exergo-economic analysis have been performed for a geothermal cycle and a proposed cycle that is an improvement of the basic cycle. Comparative analysis for the new cycle has been extracted and exergy-economic parameters have also been calculated.Moreover, by using artificial neural network and multi-objective optimization, optimal parameters of the system have been extracted. The primary novel part of this study is that different subsystems combined in a way generate different products and the optimum performance parameters are introduced based on the multi-objective optimization. The obtained results show that the highest exergy destruction is related to heat exchanger 1 (HX1) with a value of 670.5 kW. The proposed systemcan produce 1.104 kg/s freshwater and its net power production capacity is 2251kW. Also, the exergy destruction in the proposed systemis 964.4kWhigher than the basic cycle. Based on the multi-objective optimization, the optimal point is selected based on the ideal result of 32.35 % efficiency and 2322.32 kW exergy destruction, and the parameter unit cost of product is 8.81 $/kW