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Stochastic optimization of a multi-layer wall design with phase change materials

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F12%3APU98562" target="_blank" >RIV/00216305:26210/12:PU98562 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Stochastic optimization of a multi-layer wall design with phase change materials

  • Original language description

    Phase change materials (PCMs) are materials that are able to absorb, store and subsequently release energy utilizing the latent heat of phase change. The amount of latent heat is usually significantly larger than that of sensible heat thereby the sufficient energy storage can be reached. The composition of PCM, which determines the temperature of phase change, is chosen according to a particular application and operating conditions. In the last decade the rapid development of phase change materials has been accomplished and in these days the phase change materials are being widely used in civil engineering and building architecture to decrease the temperature fluctuation, energy consumption and to improve the thermal inertia. The optimal design and integration of PCMs in buildings cannot be achieved without the usage of computer simulation tools, optimization techniques and experiments. In numerical modeling it is crucial to properly determine the operating conditions and thermo-physical properties of used materials since these inputs significantly influence the accuracy and credibility of simulation results. Unfortunately, in the real world these parameters are not fully known and they tend to randomly alter, mainly due to a variable composition, moisture content and other factors. The paper is aimed at the optimization of the thickness of PCM layer in a multi-layer wall under uncertain heat transfer coefficients on the wall and at the investigation of its influence. This is accomplished by utilizing stochastic optimization techniques and a scenario approach.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JJ - Other materials

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/OC10051" target="_blank" >OC10051: Phase change materials for increased energy efficiency of air-based solar thermal systems in buildings</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2012

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Proceedings of Innostock 2012 conference on Energy Storage

  • ISBN

    978-84-938793-3-4

  • ISSN

  • e-ISSN

  • Number of pages

    10

  • Pages from-to

    168-177

  • Publisher name

    GREA Innovacio Concurrent, University of Lleida

  • Place of publication

    Lleida, Španělsko

  • Event location

    Lleida

  • Event date

    May 16, 2012

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article