基于移动糊状体积法的PCM多层结构传热模型——验证、验证和灵敏度分析

IF 2.2 4区 工程技术 Q2 CONSTRUCTION & BUILDING TECHNOLOGY
D. Heim, T. Kułakowski
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引用次数: 3

摘要

一个预测多层结构中相变材料薄层热性能的新模型已经被开发、验证和验证。数值验证包括传热和太阳辐射过程,而实验验证只考虑传热。该模型采用移动糊状体积法考虑PCM层的热光学特性。该方法的基本假设是将PCM域划分为子体,并分别确定其物理状态,从而允许随时间变化参数。每个子层可以处于固体、液体或半瞬态(糊状),其中潜热水平和固液比由无因次温度相关的熔化函数决定。因此,它适用于整个建筑模拟程序,可以应用于更精确地确定透明PCM结构内的传热。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Thermal model of heat transfer in a PCM multilayer construction using Moving Mushy Volume Approach – verification, validation and sensitivity analysis
A new model for predicting the thermal performance of a thin layer of phase change material enclosed in a multilayer structure has been developed, verified, and validated. Numerical verification includes heat transfer and solar radiation processes, while only heat transfer was considered for experimental validation. The model considers thermo-optical properties of the PCM layer using a Moving Mushy Volume Approach. The basic assumption of the proposed approach is to divide the PCM domain into sub-volumes and determine their physical state separately, which allows varying the parameters in time. Each sublayer can be in a solid, liquid, or semi-transient state (mushy) where the level of latent heat and the solid–liquid ratio is determined by a dimensionless temperature-dependent melting function. Hence, it is appropriate for use in whole-building simulation programs, where it can be applied to more precise determination of heat transfer within a transparent PCM structure.
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来源期刊
Journal of Building Performance Simulation
Journal of Building Performance Simulation CONSTRUCTION & BUILDING TECHNOLOGY-
CiteScore
5.50
自引率
12.00%
发文量
55
审稿时长
12 months
期刊介绍: The Journal of Building Performance Simulation (JBPS) aims to make a substantial and lasting contribution to the international building community by supporting our authors and the high-quality, original research they submit. The journal also offers a forum for original review papers and researched case studies We welcome building performance simulation contributions that explore the following topics related to buildings and communities: -Theoretical aspects related to modelling and simulating the physical processes (thermal, air flow, moisture, lighting, acoustics). -Theoretical aspects related to modelling and simulating conventional and innovative energy conversion, storage, distribution, and control systems. -Theoretical aspects related to occupants, weather data, and other boundary conditions. -Methods and algorithms for optimizing the performance of buildings and communities and the systems which service them, including interaction with the electrical grid. -Uncertainty, sensitivity analysis, and calibration. -Methods and algorithms for validating models and for verifying solution methods and tools. -Development and validation of controls-oriented models that are appropriate for model predictive control and/or automated fault detection and diagnostics. -Techniques for educating and training tool users. -Software development techniques and interoperability issues with direct applicability to building performance simulation. -Case studies involving the application of building performance simulation for any stage of the design, construction, commissioning, operation, or management of buildings and the systems which service them are welcomed if they include validation or aspects that make a novel contribution to the knowledge base.
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