این سایت در حال حاضر پشتیبانی نمی شود و امکان دارد داده های نشریات بروز نباشند
صفحه اصلی
درباره پایگاه
فهرست سامانه ها
الزامات سامانه ها
فهرست سازمانی
تماس با ما
JCR 2016
جستجوی مقالات
سه شنبه 18 شهریور 1404
Energy Equipment and Systems
، جلد ۵، شماره ۲، صفحات ۹۵-۱۱۳
عنوان فارسی
چکیده فارسی مقاله
کلیدواژههای فارسی مقاله
عنوان انگلیسی
Exergy , economy and pressure drop analyses for optimal design of recuperator used in microturbine
چکیده انگلیسی مقاله
The optimal design of a plate-fin recuperator of a 200-kW microturbine was studied in this paper. The exergy efficiency, pressure drop and total cost were selected as the three important objective functions of the recuperator. Genetic Algorithm (GA) and Non-dominated Sorting Genetic Algorithm (NSGA-II) were respectively employed for single-objective and multi-objective optimizations. By optimizing the objective functions via the single-objective optimization approach, the optimum values of exergy efficiency, pressure drop and total cost were found to be 0.966, 0.846 kPa, and 302,075$ respectively, representing the best solutions obtained from 20 iterations in GA. The cases considered for bi-objective optimizations were exergy efficiency-total cost, exergy efficiency-pressure drop and total cost-pressure drop pairs for which Pareto-optimal fronts were obtained, revealing the confliction between the two objectives in each pair. Later, a three-objective optimization was undertaken to simultaneously maximize exergy efficiency while minimizing pressure drop and total cost; the results were presented in a three-dimensional Pareto-optimal front. Moreover, the results of the multi-objective optimizations (i.e. three-objective and bi-objective optimizations) were compared with those of the single-objective one. The comparisons indicated a very good match between the multi-objective and the single-objective optimum values when it came to exergy efficiency and total cost; for pressure drop, however, significant differences were observed. Eventually, a decision-making procedure was employed for the Pareto-fronts of multi-objective optimization to find the final optimal solution.
کلیدواژههای انگلیسی مقاله
نویسندگان مقاله
پدرام حنفی زاده |
center of excellence in design and optimization of energy systems, school of mechanical engineering, college of engineering, university of tehran, p. o. box 11155-4563, tehran, iran
سازمان اصلی تایید شده
: دانشگاه تهران (Tehran university)
پیمان مقصودی |
center of excellence in design and optimization of energy systems, school of mechanical engineering, college of engineering, university of tehran, p. o. box 11155-4563, tehran, iran
سازمان اصلی تایید شده
: دانشگاه تهران (Tehran university)
نشانی اینترنتی
http://www.energyequipsys.com/article_25717_308e673ba6057953610ddd74ac856e09.pdf
فایل مقاله
اشکال در دسترسی به فایل - ./files/site1/rds_journals/392/article-392-491623.pdf
کد مقاله (doi)
زبان مقاله منتشر شده
en
موضوعات مقاله منتشر شده
نوع مقاله منتشر شده
برگشت به:
صفحه اول پایگاه
|
نسخه مرتبط
|
نشریه مرتبط
|
فهرست نشریات