Lumped parameter models for building thermal modelling: An analytic approach to simplifying complex multi-layered constructions

Lumped parameter models for building thermal modelling: An analytic approach to simplifying complex multi-layered constructions
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DOI:
10.1016/j.enbuild.2013.01.014
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发表时间:
2013-05-01
影响因子:
6.7
通讯作者:
Coley, David A.
Coley, David A.
中科院分区:
工程技术2区
文献类型:
--
作者:
Ramallo-Gonzalez, Alfonso P.;Eames, Matthew E.;Coley, David A.

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有许多复杂的建筑模拟器能够准确地模拟建筑物的热性能。集总参数模型 (LPM) 是一种替代方案,由于其计算时间较短,因此可以在需要多次运行的情况下使用,例如在完成基于计算机的优化时。本文提出了一种新的、更准确的分析方法,用于创建二阶 LPM 的参数,该二阶 LPM 由三个电阻器和两个电容器组成,可用于表示多层结构。创建此 LPM 的方法比文献中的替代方法更直观,被命名为主导层模型。这种新方法不需要复杂的数值运算,而是通过对结构内不同层对其整体动态行为的相对影响进行简单分析来获得。该方法已用于比较不同厚度和材料的四种不同典型结构以及两种更复杂的结构的动态响应,作为概念证明。与真实代表结构中所有层的模型相比,新方法在很大程度上是准确的,并且优于文献中通过分析方法获得的唯一其他模型。 (C) 2013 Elsevier B.V. 保留所有权利。
There are many sophisticated building simulators capable of accurately modelling the thermal performance of buildings. Lumped Parameter Models (LPMs) are an alternative which, due to their shorter computational time, can be used where many runs are needed, for example when completing computer-based optimisation. In this paper, a new, more accurate, analytic method is presented for creating the parameters of a second order LPM, consisting of three resistors and two capacitors, that can be used to represent multi-layered constructions. The method to create this LPM is more intuitive than the alternatives in the literature and has been named the Dominant Layer Model. This new method does not require complex numerical operations, but is obtained using a simple analysis of the relative influence of the different layers within a construction on its overall dynamic behaviour. The method has been used to compare the dynamic response of four different typical constructions of varying thickness and materials as well as two more complex constructions as a proof of concept. When compared with a model that truthfully represents all layers in the construction, the new method is largely accurate and outperforms the only other model in the literature obtained with an analytical method. (C) 2013 Elsevier B.V. All rights reserved.