Performance Study Of The Copper-Aluminum Compound Bands Type Radiant Panel Assisted Heat Pump System

With the high proportion of building energy consumption in the total energy consumption, construction industry has paid enough attention to Environmental Protection and Energy Saving. It is of great importance to relieve the shortage of the conventional energy resource and improve the building environment by using the renewable energy such as solar energy. To improve the utilization ratio of renewable energy and to meet the energy-saving and ejection-decreasing requirement of the Nation, a solar heating and cooling system integrated with building is researched and developed by our laboratory independently. The integrated RP technology techniques, super low temperature difference end techniques and high-efficent multi-source heat pump techniques are used in the system, in order to realize the perfect integration of solar utilization equipment and building envelopes , solar-source, air-source and low-temperatre space source are used comprehensively. The system can provide heating and cooing and can supply hot water.In this paper,copper-aluminum compound bands are considered to the source energy for a heat pump, making full use of solar energy, air source and low temperature source of outer space comprehensively to meet the needs of the buildings.Test platform for multi-source heat pump system was set up, to study the performances of radiative panel and heat pump under different weather conditions and operating conditions. The results show that: the ambient temperature is always low both on clear days and on overcast days in winter, so the inflence of ambient temperature on the properties of RP and heat pump can be ignored. The southward irradance is a main influencing factor on the hear pump, with the increase of irradiance, the heat colleting capacity and heat collecting coefficient becomes larger and the duration for the water to reach the end becomes shorter. The optimum flow rate and area exists for the system to achieve the best heating performance.By the mixed programming of VC++ and MATLAB, a program was made to predict the heating/cooling performances of radiative panel and heat pump. Based on experiment data, the model of Artificial Neural Network was set up.By using a program calling the model of Artificial Neural Network, the impacts of different weather conditions and operating conditions on radiative panel and heat pump can be predicted. The prediction model is consistent with the experimental results.The prediction results show that, the Outlet Temperature of radiative panel first increases and then decreases with increasing water flow and the area of radiative panel; it increases with increase of inlet temperature of radiative panel. The heating efficiency of heat pump also first increases and then decreases with increasing water flow and the area of radiative panel, it also increases with increase of inlet temperature of radiative panel and decreases with increase of inlet temperature of condenser.