Research On Central Air Conditioning Refrigeration System Based On Artificial Fish Optimization Algorithms

In recent years, as China’s emphasis on energy saving and reduce the emissions toimprove energy utilization,become the consensus of people building energy consumptionbecome one of the main field of energy consumption in China the central air conditioningis the most important part of building energy consumption reduce the energy consumptionof central air-conditioning system improve the air conditioning system can effectcomparing, become a key issue.First of all, this thesis summarize the current situation of the central air conditioningsystem energy saving technology development and research status, analyze the structureand process principle and refrigeration system of the central air conditioning system, byflowing through the refrigeration unit compressor, compressed into a high-temperaturehigh-pressure gas. When high temperature and high pressure of refrigerant flowing throughthe condenser, cooling water from the cooling tower cooling into a high-pressure gas atlow temperature, low temperature and high pressure refrigerant after expansion valve backinto the liquid, then within the evaporator gasification, complete an energy cycle. In thispaper, the law of energy conservation and heat transfer as a basis, in view of the energyconsumption of central air conditioning refrigeration system, each work link features ofmain technological process, establish the corresponding mathematical model, using theleast square method is established on the refrigeration system in energy consumption(chillers, cooling water pumps and cooling tower fan) as the static model. Then accordingto the practical running characteristics of central air-conditioning refrigeration system, thispaper puts forward the optimization objectives and constraint conditions of cooling system.For central air-conditioning refrigeration system of nonlinear, big lag, disturbance of thesystem characteristics, this paper proposes an improved artificial fish optimizationalgorithm for the optimization. By using the improved artificial fish optimization algorithmto solve the minimum power of the central air conditioning refrigeration system.In this thesis, by changing the algorithm of artificial fish in vision and step size,proposes the apparent step coefficient, overcome the basic easy low convergence precisionof artificial fish optimization algorithm, a local optimum, and the number of iterations too much phenomenon, improve the search speed and precision of the optimization algorithm,for the central air conditioning energy saving optimization of cooling system provides anew effective method.Finally, based on the MATLAB simulation program, toward the centralair-conditioning refrigeration system under different external environment with basic andimproved artificial fish optimization algorithm to optimize the simulation, the simulationdiagram shows the improved artificial fish algorithm significantly improves theconvergence speed, convergence accuracy are improved.