| In recent years,driven by a series of "dual carbon" strategies in the country and industry,the building HVAC industry,which relies heavily on energy,urgently needs to seek a path of transformation for a green economy and sustainable development.As a heating device that uses air heat source to realize energy regeneration,air source heat pump has the advantages of high utilization rate of primary energy,low carbon emission rate,and consideration of cold and hot supply.It has been widely used in the heating and auxiliary heating fields of small and mediumsized spaces,and has become the "main force" in the defense of clean heating projects in northern China.However,currently,the power regulation strategy of air source heat pump units is more mechanized,and in extreme weather conditions and partial load operating conditions,there is a lack of effective and flexible power regulation strategies,greatly limiting its application scope.The air source heat pump system has multiple energy coupling between cold and heat,and the equipment characteristics are very different,which makes the modeling,performance evaluation,and optimization control of the system under multiple operating conditions complex and urgently needs to be solved.Therefore,this article takes air source heat pumps as the research object,focusing on the analysis of operational performance and energy consumption influencing factors,and conducting research on the modeling and optimization control problem of air source heat pumps under wide operating conditions.The main work carried out in this article is as follows:(1)To obtain operational data of air source heat pumps,based on the thermodynamic characteristics of various parts such as the system compressor,condenser,evaporator,and expansion valve,a Thermolib simulation database was used to improve the wide operating condition characteristics of relevant components,and an air source heat pump simulation model was constructed.Through experimental operation,the operation data under different operating conditions required for optimization are measured,providing a data basis for analyzing the wide operating characteristics of the system.(2)The operating conditions of the air source heat pump system are complex,and in response to the problem that traditional modeling methods cannot balance accuracy and engineering practicality,this paper selects compressor speed and chilled water flow rate as input variables,and system energy efficiency ratio as model output.Based on the function weighted single input module connected fuzzy system(FWSIRM-FIS),a wide operating mode model of the air source heat pump is established.The constructed model has a simple structure,fewer rules,and is easy to interpret,making its form more suitable for process optimization.(3)In order to develop a wide operating range optimization strategy for heat pump units that balances comfort and energy efficiency,based on the analysis results of the wide operating range characteristics of the system mentioned above,the compressor speed and chilled water flow rate were selected as decision variables,with the minimum daily total energy consumption of the system as the optimization objective.A system optimization model was established,and genetic algorithm was used to solve the optimization model to obtain the optimal optimization plan.The experimental results show that when the user’s environment is within the range of thermal comfort and elasticity,it can effectively reduce system energy consumption and improve energy efficiency.This study can provide effective means and methods for controlling the wide operating conditions of air source heat pump systems,and has certain reference value for promoting the development of heat pump technology. |
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