混合热工和水力特性的风机盘管系统建模

Modeling of fan coil systems with mixed thermal and hydraulic characteristics

中文关键词  风机盘管  水力学模型  阀门  遗传–粒子群算法  最小二乘法  参数辨识

英文关键词  Fan coil unit  Modeling  Valve opening  GA-PSO algorithm  Parameter identification

中文摘要

      针对风机盘管系统建模研究中大多数未考虑水力学特性对其的影响, 本文提出混合热工和水力特性的风 机盘管系统建模方法, 以满足实际工程中对于风机盘管系统控制的数学模型需要. 在水力学模型中考虑风机盘管电 动水阀, 基于基尔霍夫定律建立水力平衡方程, 通过遗传–粒子群相结合的优化算法(GA-PSO)求解各个盘管的水流 量及对应的阀门开度; 以水流量为输入, 考虑风机盘管风量, 采用非线性最小二乘法辨识求解其总传热系数, 建立基 于牛顿冷却定律的风机盘管热力学模型. 实验结果表明: 混合热工和水力特性的建模方法能够更好的反应风机盘 管的物理过程; GA-PSO算法具有很好的稳定性和收敛性, 能够更准确的求解水流量及对应的阀门开度, 与实际运 行数据的相对误差不超过1%; 热力学模型在各种实际工况下的模型误差都低于4%, 能够精确反映风机盘管的传热 过程.

英文摘要

      Aiming at the influence of hydraulic characteristics not considered in the modeling of fan-coil system, the modeling method of fan-coil system with mixed thermal and hydraulic characteristics was proposed, in order to meet the actual project for the fan-coil system control mathematical model needs. In the hydraulic model, the electric water valve of fan coil was considered, the hydraulic balance equation is established based on the Kirchhoff’s law, and the flow rate and valve opening of each coil was solved by genetic-particle swarm optimization (GA-PSO); the thermodynamic model of fan coil based on Newton’s law of cooling was established by taking water flow as input, considering the fan coil unit air flow and using nonlinear least squares method to identify and solve its total heat transfer coefficient. The experimental results show that the modeling method of mixing thermal and hydraulic characteristics can better reflect the physical process of the fan coil; the GA-PSO Algorithm has good stability and convergence, can more accurately solve the water flow and the corresponding valve opening, and the actual operating conditions of the test data relative error is less than1%; the error of thermodynamic model is less than 4% in all kinds of practical working conditions, which can accurately reflect the heat transfer process of the fan coil.