Research On Intelligent Dispatching Strategy Of Multi-heat Sources In Heating System Of An Airport Energy Station

With the rapid development of the modern aviation industry,the scale of airport construction continues to expand.Building a four-type airport and achieving the goal of carbon neutrality is an important part of building a green airport in the new era.In the airport energy supply,the realization of intelligent energy dispatch is an important part of the construction of airport intelligent energy.The design of the airport heating system is complex,and simple management and dispatching measures are difficult to formulate a more scientific and reasonable solution.The use of advanced intelligent dispatching methods to provide better heating system operation strategies is one of the means to achieve intelligent optimal dispatch of airport energy.The thesis researches on the intelligent dispatching strategy of multiple heat sources in the heating system of an airport energy station.Firstly,according to the principle design of the heating system of the airport energy station,the heat exchange characteristics of three heating subsystems are studied,including the municipal heating system,the deep geothermal system and the gas boiler system,and the establishment of a heat pump unit,a gas boiler,and a plate heat exchanger.As well as the mathematical model of the energy consumption of the pump,and based on the equipment operating conditions and the actual operating conditions of the system,the system operating constraints are established to provide a basis for the research of intelligent scheduling algorithms.Secondly,according to the actual operation of the heating system,a multi-objective mathematical optimization function with the lowest system operating electricity cost and system heat source cost is established;the improved multi-objective firework algorithm is studied and the optimization function is optimized,and the multi-objective firework algorithm is introduced Gray-entropy parallel correlation analysis method;the operation scheduling strategy is obtained by solving different optimization goals as the priority.The heating system operation strategy obtained by this method can complete the heat distribution with a small system cost.Finally,since the mid-deep geothermal system has the most equipment in the heating system and the heat exchange form is more complicated,the TRNSYS software is used to build the building load simulation system and the mid-deep geothermal cascade heat transfer simulation system to simulate the building load at different times and the operation of the geothermal system working conditions.Study the effect of changing the temperature of the ground source side return water of the geothermal system on the power consumption of the system,and compare it with the power consumption of the simulation system before the regulation.Through simulation calculations,the operation strategy formulated by the multi-heat source intelligent scheduling algorithm of the airport energy station heating system proposed in the paper can save about 28.44% of the cost compared with the existing heating system operation strategy.The optimized operation strategy of the medium-deep geothermal system is compared with the operating strategy before optimization can save about 11.5% of power consumption.It provides a theoretical reference for the intelligent dispatch of the heating system of the airport energy station and the good operation of the airport.