کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
1731628 | 1016095 | 2015 | 10 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Main parameters optimization of regenerative organic Rankine cycle driven by low-temperature flue gas waste heat
ترجمه فارسی عنوان
پارامترهای اصلی بهینه سازی چرخه رابینین آلی مجتمع شده به وسیله گرمادهی کم حرارت دیگ بخار
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موضوعات مرتبط
مهندسی و علوم پایه
مهندسی انرژی
انرژی (عمومی)
چکیده انگلیسی
Thermodynamic analyses of regenerative ORC (organic Rankine cycle) driven by low-temperature flue gas waste heat are performed. The heat transfer and flow analyses of a regenerator are also analyzed. A simplified optimal design method to optimize main thermodynamic parameters is proposed for the regenerative ORC driven by flue gas waste heat under different temperature conditions. Results reveal the existence of two characteristic temperatures, namely, Tw1(1) and Tw1(2). If the flue gas inlet temperature Tw1 is lower than Tw1(1), then the regenerator should not be equipped, the optimal pinch point temperature difference is the lowest limit value, and the optimal evaporation temperature increases with the increasing flue gas inlet temperature. If Tw1(1) â¤Â Tw1 â¤Â Tw1(2), then the regenerator should be equipped, the optimal regenerator effectiveness increases with the increasing flue gas inlet temperature, the optimal pinch point temperature difference is the lowest limit value, and the optimal evaporation temperature is the highest limit value. If Tw1 â¥Â Tw1(2), then the regenerator should be equipped, the optimal regenerator effectiveness is the highest limit value, the optimal pinch point temperature difference increases with the increasing flue gas inlet temperature, and the optimal evaporation temperature is the highest limit value.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Energy - Volume 93, Part 2, 15 December 2015, Pages 1886-1895
Journal: Energy - Volume 93, Part 2, 15 December 2015, Pages 1886-1895
نویسندگان
Zhong Ge, Hua Wang, Hui-Tao Wang, Jian-Jun Wang, Ming Li, Fu-Zhong Wu, Song-Yuan Zhang,