کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
8071399 | 1521395 | 2018 | 11 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Analysis of two-phase injection heat pump using artificial neural network considering APF and LCCP under various weather conditions
دانلود مقاله + سفارش ترجمه
دانلود مقاله ISI انگلیسی
رایگان برای ایرانیان
کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی انرژی
انرژی (عمومی)
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Analysis of two-phase injection heat pump using artificial neural network considering APF and LCCP under various weather conditions Analysis of two-phase injection heat pump using artificial neural network considering APF and LCCP under various weather conditions](/preview/png/8071399.png)
چکیده انگلیسی
The objective of this study is to optimize the performance of a two-phase injection (TPI) heat pump considering annual performance factor (APF) and life cycle climate performance (LCCP). The performances of non-injection (NI), vapor injection (VI), and TPI heat pumps are measured under various outdoor temperatures. Based on the measured data, artificial neural network models for the NI, VI, and TPI heat pumps are developed to predict the performance indexes during cooling and heating seasons. As a result, the TPI heat pump shows higher heating capacity than the NI and VI heat pumps with a lower compressor discharge temperature in cold weather conditions. Therefore, the application of the TPI has a merit on reducing the size of the heat pump due to its lower back-up heater loss and over-capacity penalty. When the objective function maximizes the APF for system optimization in three climate regions, the TPI heat pump shows a 1.4-2.7% higher APF than the NI heat pump, and a 11.1%-18.1% smaller optimum rated heating capacity.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Energy - Volume 155, 15 July 2018, Pages 117-127
Journal: Energy - Volume 155, 15 July 2018, Pages 117-127
نویسندگان
Dongwoo Kim, Kang Sub Song, Junyub Lim, Yongchan Kim,