Model Research Based On TRNSYS Of Solar Ground-source Heat Pump System

Solar ground-source heat pump system is a hot topic in recent years on renewable energy research areas, It’s a more efficient utilization of renewable energy. Experimental research on has been built solar ground-source heat pump system, base on experimental data and TRNSYS simulation software build solar ground-source heat pump system simulation model, by optimizing model or adjust input parameters to keep consistency between experimental and simulation. Relevant error within the specified range, then make the model as benchmark, predict air-conditioning system operating performance within 10 year, provide guidance for subsequent runs.Hybrid solar ground-source heat pump system interconnection of two parts, is an important advantage of system, GSHPS and SAGSHPS’s experimental data in 2012 was analyze, GSHPS have serious heat imbalances, while SAGSHPS is excess, By adjusting the operating mode in 2013, to make SAGSHPS burden more in the early winter heating and winter vacation, The new heating method effectively solves GSHPS thermal imbalance, but also makes SAGSHPS assume more and did not reduce the COP of the unit.Comparison of the simulated and experimental in design conditions, the results have a huge difference because the distinct between input and actual, GSHPS’s all experimental values almost greater than simulated, the maximum reached 3.09 times, 1.47 times the minimum, SAGSHPS stored heat was higher than the simulation value, but the heating season heat absorption is lower than the simulation value, This paper summarizes the result of seven reasons for the differences. Relative error of simulation and experimental within a reasonable range for the typical period of heat collection, heat storage etc, through each module revise to reduce relative error. Validation between the improved model and experimental of typical periods to ensure the accuracy. heat collection relative error was 1.6%, heat storage relative error was 30.7%. Finally, the simulation model in two modes of operation compared to predict system performance in the long run, Model II is more efficient than Model Ⅰ, the simulation results provide operational guidance for the next step.