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Study on dynamic thermal characteristics of thermoelectric radiant cooling panel system through a hybrid method

机译:通过混合方法研究热电辐射冷却面板系统动态热特性

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摘要

Thermoelectric radiant panel system (TERP), requires no hydronic pipes, pumps and chillers and the size is compact in solid form. In this study, the main results include a new system model of TERP and some new findings on the system dynamic characteristics. The new model integrates finite difference method and state-space matrix, which is an integration of great simulation accuracy, high speed, and easy implementation. The thermal response time (TRT) and its asynchronism are confirmed and a new concept of AM (Asynchronism Magnitude) is defined to measure the degree of TRT asynchronism. Some new observations are obtained: (1) Under a certain environment, AM becomes a constant even when different step changes of current are imposed; (2) The TRT asynchronism disappeared at the second stage when environmental condition is step changed. Three new definitions of TRT are proposed and compared. Finally, in order to realize the fast and accurate prediction of TRT for the use of system on-line control or fast evaluation under dynamic state, an artificial neural network-based model is proved to be effective. The dynamic analysis can offer a new paradigm to the evaluation, control and optimization of radiant cooling and other dynamic systems.
机译:热电辐射面板系统(TERP),不需要液体管,泵和冷却器,尺寸为固体形式。在这项研究中,主要结果包括新系统模型的TERP和系统动态特性的一些新发现。新模型集成了有限差分法和状态空间矩阵,这是仿真精度,高速和简单实现的集成。确认热响应时间(TRT)及其异步,并定义了am(异步幅度)的新概念以测量TRT异步的程度。获得了一些新的观察结果:(1)在一定环境下,即使施加不同的步骤改变,AM也变为恒定; (2)当环境条件发生变化时,TRT异步在第二阶段消失。提出并比较了TRT的三个新定义。最后,为了实现在动态状态下使用系统在线控制或快速评估的TRT的快速准确预测,证明了基于人工神经网络的模型是有效的。动态分析可以为辐射冷却和其他动态系统的评估,控制和优化提供新的范例。

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