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姚晔
,-0001,():
-1年11月30日
his paper mainly concerned about the dynamic response model of wet cooling coils that is developed by the Laplace transform method. The theoretic equations are firstly established based on the theory of energy conservation. Then, the transfer functions on the transient responses of wet cooling coils have been deduced using the method of Laplace transform. The transfer functions reveal the dynamic relation- ships between the inlet variables and the outlet ones of the cooling coils. Partial-fraction method and Newton–Raphson method are both used in the inversion of the transfer functions from the s-domain to s-domain. To make the dynamic model of wet cooling coils more adaptive, RBFNN method is employed to determine the coefficients of heat and mass transfer. Experiments have been done and manifested that the coefficients of heat and mass transfer by RBFNN will be of great value to the validity of the transient response model of wet cooling coils in this study.
Dynamic response model,, Wet cooling coil,, RBFNN,, Coef&, #, 64257, cients of heat and mass transfer
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【期刊论文】Thermal analysis of cooling coils based on a dynamic model
姚晔, Ye Yao, Zhiwei Lian, Zhijian Hou
Applied Thermal Engineering 24 (2004) 1037–1050,-0001,():
-1年11月30日
A dynamic model that describes the cooling coils’ thermal qualities is developed and solved using the method of classical control theory. The dynamic relationships are obtained between the coil’s heat exchange and its five important parameters that include inlet air temperature, inlet air humidity, inlet water temperature, airflow rate and water flow rate. Experiments have been done to validate the model. Afterwards, simulations are made by the model to analyze the dynamic heat exchange of coils when some perturbations occur under different initial conditions. Then, some useful conclusions are drawn based on the analysis.
Cooling coil, Dynamic, Heat exchange, Model
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【期刊论文】Energy-cost allocation based on the theory of frequency response
姚晔, Ye Yao, Zhiwei Lian, Shiqing Liu, Zhijian Hou
Applied Energy 79 (2004) 371–383,-0001,():
-1年11月30日
Energy-cost allocation systems apportion heating and/or cooling costs among the individual apartments in centrally-metered buildings based on various measures of relative energy use or thermal comfort. The most commonly used systems measure one or more parameters related to the thermal output of the terminal elements. In this paper, a new method for energy-cost allocation purposes was developed and studied. Taking advantage of the theory of frequency response, the individual apartments’ energy consumption for cooling in summer may be calculated using several parameters that include indoor and outdoor temperatures and the values of solar radiant-intensity. Experiments were done in this study, which indicates that the method of frequency response is fairly good in calculating the energy use of cooling.
Air-conditioning, Cooling metering, Frequency response, Experiment
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姚晔, Ye Yao, Zhiwei Lian, Shiqing Liu, Zhijian Hou
International Journal of Thermal Sciences 43 (2004) 1107–1118,-0001,():
-1年11月30日
Predicting the next-24-hour load in a building is essential for the optimal control of heating, ventilating and air-conditioning (HVAC) systems that use thermal/cool storage technology and also for cost and energy reduction of the non-storage systems. To fully integrate the advantages of several models and improve the accuracy of forecasting load, the application of the combined forecasting method to hourly load forecasting is presented in this paper. The method of Analytic Hierarchy Process (AHP) is employed to deduce the weights of each model. A case study shows that the combined forecasting model based on AHP may be better than the individual ones in predicting the building’s hourly load for the future hours.
Air-conditioning, Load, Combined forecasting, Analytic Hierarchy Process (, AHP),
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【期刊论文】Optimal operation of a large cooling system based on an empirical model
姚晔, Ye Yao, Zhiwei Lian, Zhijian Hou, Xiangjiang Zhou
Applied Thermal Engineering 24 (2004) 2303–2321,-0001,():
-1年11月30日
A large cooling system of residential building in Changsha City in China was investigated in the summer of 2003. The relationships among the controlled variables, uncontrolled variables and the chillers’ performance were obtained empirically with the test data. A model of optimal operation for the system was established based on these empirical relationships. A parameter, system coefficient of performance (SCOP), is presented to analyze the effect of energy saving of the cooling system. The results show that the energy saving is likely to reach as high as 10% by applying the optimal model to the cooling system.
Air conditioning, Optimal operation, SCOP, Energy saving
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