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Parameter optimization for operation of a bed-based task/ambient air conditioning (TAC) system to achieve a thermally neutral environment with minimum energy use

机译:为基于床的任务/环境空调(TAC)系统的运行进行参数优化,从而以最少的能源消耗实现热中性环境

摘要

The purpose of this paper is to optimize the operating parameters such as: supply air temperature, supply air flow rate and supply air humidity, for a bed-based task/ambient air conditioning (TAC) system installed in an experimental bedroom with two total insulation values of beddings and bed to obtain a thermally neutral sleeping environment with minimum energy use. A computational fluid dynamics (CFD) method was applied to calculate the values of predicted mean vote (PMV) and energy utilization coefficient (EUC) based on conditions of 16 simulation cases. From the simulation results, the design of experiment method was applied to identify operating parameters, individually or combined, that could significantly affect thermal neutrality and energy use for the bedroom environment to establish linear regression models for PMV and EUC. These models were used to obtain the optimum operating parameters of the bed-based TAC system. These models were validated by comparing the obtained optimization results using the models with the predicted results given by the CFD method. The results suggested that for a bed-based TAC system at a specified total insulation value of beddings and bed, a lower energy use can be achieved through adjusting operating parameters while the thermal comfort is maintained.
机译:本文的目的是针对安装在具有两个完全隔热层的实验卧室中的基于床的任务/环境空调(TAC)系统,优化运行参数,例如:送风温度,送风流量和送风湿度。的床上用品和床上用品的热值,以达到热中性的睡眠环境,并且能耗最小。基于16个模拟案例的条件,应用计算流体动力学(CFD)方法来计算预测平均投票(PMV)和能源利用系数(EUC)的值。从仿真结果中,采用实验方法的设计来识别单独或组合使用的操作参数,这些参数可能会显着影响卧室环境的热中性和能耗,从而建立PMV和EUC的线性回归模型。这些模型用于获得基于床的TAC系统的最佳运行参数。通过将使用模型获得的优化结果与CFD方法给出的预测结果进行比较,对这些模型进行了验证。结果表明,对于具有规定的床上用品和床的总绝缘值的基于床的TAC系统,可以在保持热舒适性的同时通过调整操作参数来降低能耗。

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