کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
1732958 1521491 2013 14 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Dynamic modeling of Gas Engine driven Heat Pump system in cooling mode
موضوعات مرتبط
مهندسی و علوم پایه مهندسی انرژی انرژی (عمومی)
پیش نمایش صفحه اول مقاله
Dynamic modeling of Gas Engine driven Heat Pump system in cooling mode
چکیده انگلیسی


• Developing a dynamic model for Gas Engine driven Heat Pump (GEHP) with the capability of predicting the variation with time of operating characteristics.
• Investigating the engine geometric and operating parameters by applying a gas engine dynamic model.
• Predicting the variation of engine speed with time during startup period by using artificial neural network (ANN) method.
• Performing empirical tests to compare the modeling and experimental results in dynamic operating mode of the system.

The Gas Engine driven Heat Pump (GEHP) operating cycle is a vapor compression refrigeration type which includes compressor, condenser, expansion valve, evaporator, and a gas engine to drive the compressor. In the present work, the dynamic modeling of GEHP system during startup in cooling mode is performed and variation of evaporator and condenser temperatures, shaft power consumed by compressor, engine fuel consumption, and primary energy ratio of system were determined at various time steps. The dynamic modeling included transient heat transfer equations for condenser and evaporator for computing the evaporator and condenser temperatures. These equations were solved using Runge–Kutta method. In order to validate dynamic modeling, the modeling output results were compared with the empirical results obtained for a GEHP system. The comparison of modeling results and the experimental measured values for various amounts of evaporator and condenser temperatures, cooling capacity, gas engine fuel consumption, shaft power consumed by compressor and primary energy ratio of system showed average difference values of 1.73 °C, 1.26 °C, 8.05%, 9.51%, 9.27% and 7.15% respectively.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Energy - Volume 55, 15 June 2013, Pages 195–208
نویسندگان
, , ,