کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
10122802 | 1642855 | 2018 | 41 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Modeling and multi-objective optimization of a novel biomass feed polygeneration system integrated with multi effect desalination unit
ترجمه فارسی عنوان
بهینه سازی مدل سازی و چند هدفه یک سیستم چندبعدی تولید مجدد زیست توده مجتمع با واحد چند نمک زدایی
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موضوعات مرتبط
مهندسی و علوم پایه
مهندسی انرژی
مهندسی انرژی و فناوری های برق
چکیده انگلیسی
This paper mainly focuses on the design and optimization of a novel integrated system to meet fresh water, electricity, and hot water demands. A novel combination of different system is used to generate multi products. The exergy and economic analyses are combined to carry out a parametric study to find the impact of main decision variables on a polygeneration system. The exergy analysis reveals that combustion chamber and gasifier have the highest exergy destruction rates with 84% of the system total exergy destruction rate. In addition, the system exergy efficiency shows that in the initial state, the exergy efficiency of polygeneration system is 27.9%. Results show that an increment in the gasification temperature from 950â¯K to 1150â¯K leads to fresh water flow rate increases from 1060â¯m3/day to 1160â¯m3/day. The parametric study of the system reveals that the defined objective functions are highly depends on the changes in the nine decision variables. Using a genetic algorithm optimization method, the optimum design values are obtained. The results of multi-objective optimization show that within reasonable changes for decision variables, the system exergy efficiency can change between 20% and to 42%, and the system total cost rate can vary from 100â¯$/h to 600â¯$/h.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Thermal Science and Engineering Progress - Volume 8, December 2018, Pages 269-283
Journal: Thermal Science and Engineering Progress - Volume 8, December 2018, Pages 269-283
نویسندگان
Shoaib Khanmohammadi, Kazem Atashkari,