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A New Method to Determine Thermal Properties of the Mixture of PCM and Concrete

机译:一种测定pCm与混凝土混合料热性能的新方法

摘要

Integration of phase change materials in building envelopes is a technology that with high potential to decrease the building energy consumption and improve indoor thermal comfort. Accurate measurement of thermal physical properties of PCM-concretes is very important for simulation and evaluation of its energy saving performance. However, there isn’t an effective way to measure thermal physical properties of PCM-concretes accurately. The shortcomings of using traditional testing methods to measure thermal physical properties of PCM-concretes were firstly analyzed. Then a new method based on the inverse problem was proposed to deal with the measurements of thermal conductivity and specific heat of PCM-concretes during the phase change process. This method transforms the determination process to an optimization problem, which regarded the difference between the measured and calculated heat flux and temperature as the objective function, and the thermal conductivity and specific heat distribution with temperature will be automatically adjusted through the Sequential Quadratic Programming (SQP) algorithm. The equivalent specific heat of 4 wt% and 6 wt% PCM concretes were determined using the proposed methods. The accuracy (the maximum error is less than 2%) is acceptable for engineering use. The influences of temperature segments and optimization algorithms were analyzed. The results showed that, SQP method is with the highest accuracy and least complexity compared with the Particle Swarm Optimization and Genetic Optimization methods. Finally, some suggestions to apply this method to other similar problems were proposed to extend its application scope.
机译:相变材料在建筑围护结构中的集成是一项具有降低建筑能耗和改善室内热舒适性的巨大潜力的技术。准确测量PCM混凝土的热物理性质对于模拟和评估其节能性能非常重要。但是,没有一种有效的方法可以准确地测量PCM混凝土的热物理性质。首先分析了使用传统测试方法测量PCM混凝土的热物理性能的缺点。然后提出了一种基于反问题的新方法来处理相变过程中PCM混凝土的导热系数和比热的测量。该方法将确定过程转变为一个优化问题,该问题将测量和计算的热通量和温度之间的差异作为目标函数,并且将通过顺序二次规划(SQP)自动调整热导率和随温度变化的比热分布。 )算法。使用建议的方法确定了4 wt%和6 wt%PCM混凝土的当量比热。工程使用可接受的精度(最大误差小于2%)。分析了温度段的影响和优化算法。结果表明,与粒子群优化和遗传优化方法相比,SQP方法具有最高的准确性和最小的复杂度。最后,提出了将该方法应用于其他类似问题的一些建议,以扩展其应用范围。

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