Improved Genetic Algorithms And Numerical Simulation In The Study Of The Application Of The Irrigation Water Source Heat Pump Seepage Wells In Xi’an City

Due to water-source heat pump air conditioning system with high efficiency andenergy saving, reliable operation and environmental benefit significantly as well as thespace-saving advantages, both at home and abroad has been widely applied, especially forenergy saving and environmental protection are more demanding of XI, application andpopularization of the technique is needed. Is the basis of water-source heat pump system ofpumping irrigation well and an important part of a study on seepage field of pumpingirrigation well, on the amount of smoke filling the identification, evaluation of layout ofpumping irrigation well and recharge are of important theoretical significance and appliedvalue. Water source heat pump system in this article XI field test of pumping irrigation well,using an improved genetic algorithm and numerical simulation analysis of seepage fieldcharacteristics of pumping irrigation well, made the following key findings:1) Based on the well-established flow assumption, the water source heat pump suctionirrigation wells2d non-stable pressure wells-class model, and apply a similar law wasderived from the irrigation wells in the deep parsing expression and the establishment of theirrigation water, geological parameters parsing the inverse model.2) The application of genetic algorithm to hydrogeological parameter identificationproblem of pumping irrigation well, by pumping test analysis of irrigation, and based on theclassic characteristics of the genetic algorithm, improvement on encoding genetic algorithm,genetic operators, improving the accuracy and speed of execution of the algorithm,enhanced genetic algorithm to hydrogeological parameter identification of flow field ofapplicability of irrigation wells.3) The establishment of a groundwater source heat pump pumping irrigation wells flowmathematical model and numerical simulation analysis using nash-sutcliffe efficiencycoefficient model parameter identification test, hydrogeological parameters and modelsensitivity analysis showed that relative to the water release coefficient ss, the permeabilitycoefficient k on the model solution to solve the greater impact on accuracy, and water source heat pump runtime and the seepage field characteristics under different well spacingprogram use feflow software.