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Performance Study of the Copper-Aluminum Compound Bands Type Radiant Panel Assisted Heat Pump System

Author: HuJiangHong
Tutor: WangYiPing
School: Tianjin University
Course: Chemical Process Equipment
Keywords: Radiant panel Multi - source heat pump Collection efficiency Coefficient of performance
CLC: TH38
Type: Master's thesis
Year: 2010
Downloads: 28
Quote: 0
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Abstract


With the building energy consumption is an increasingly large proportion of the total social energy consumption , energy saving and environmental protection has become the development of hot spots and trends in the construction industry , building integrated solar technology , combining the use of solar energy and architectural design to reduce building energy consumption , improve the built environment is of great significance . Solar the cold technology system , our laboratory for independent research and development building on the integrated radiation board technology , the ultra-low end of the temperature difference between radiation and efficient multi - source heat pump technology , the use of solar energy devices and building envelope perfect integration can be low cost to provide heat , cold and hot water . In this paper, the type of radiation of copper and aluminum composite strip board as a source of cold or heat source end of the heat pump system , the establishment of the experimental test platform for multi- source heat pump system , examine the performance of the the radiant panel under different climatic conditions and operating conditions and the heat pump . The results show that the low ambient temperature in winter is little influence on the performance of the radiation plate and the heat pump ; south to irradiance is the main factors affecting the heat pump system , the greater the irradiance , the greater heating capacity , the more heating coefficient ; exists an optimum flow rate and area makes the heating performance of the system . Prepared radiant panel performance and heat pump performance prediction procedure on an experimental basis , the use of VC and MATLAB mixed programming , artificial neural network model , the model predictions with the experimental results . Finally, the prediction program calls the neural network model to predict the performance of radiant panels and heat pump systems . The forecast results show that the heat transfer coefficient of the heat pump , the outlet temperature of the radiant panel first and then decrease with increasing source -side flow , radiation board area , increases with the increase of the inlet temperature of the radiant panel ; traffic with the source end radiant panel area first increases and then decreases , increases with the increase of the inlet temperature of the radiant panel , with the condenser inlet temperature increases and decreases .

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