Selection of phase change material suitable for building heating applications based on qualitative decision matrix

Phase change materials (PCMs) are successful thermal energy storage mediums in many thermal systems, including buildings. Identifying the best PCM candidate is a critical incorporation parameter that influences building thermal performance. This paper discusses the selection of potential PCM candida...

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Autores principales:	Qudama Al-Yasiri, Márta Szabó
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Phase change material (PCM) PCM selection Qualitative decision matrix Building energy Heating systems Engineering (General). Civil engineering (General) TA1-2040
Acceso en línea:	https://doaj.org/article/71f2bf2148c54ff6a2adc90168527311
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spelling	oai:doaj.org-article:71f2bf2148c54ff6a2adc901685273112021-12-02T05:03:38ZSelection of phase change material suitable for building heating applications based on qualitative decision matrix2590-174510.1016/j.ecmx.2021.100150https://doaj.org/article/71f2bf2148c54ff6a2adc901685273112021-12-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2590174521000751https://doaj.org/toc/2590-1745Phase change materials (PCMs) are successful thermal energy storage mediums in many thermal systems, including buildings. Identifying the best PCM candidate is a critical incorporation parameter that influences building thermal performance. This paper discusses the selection of potential PCM candidates that could be applied for building heating applications in cold locations. A qualitative decision matrix (QDM) is applied for several commercial PCMs after an extensive analysis of relevant literature studies. The melting temperature, heat of fusion, thermal conductivity, compatibility, flammability and cost of each PCM are considered in the QDM to find the most suitable candidates with the best effective properties and features. PCM properties/features are assigned with scores and weights in the QDM based on their importance for the application. Three scenarios are investigated in this work, including and excluding the PCM cost with varying and equal weights. Results showed that RT28HC had the highest score in all scenarios, followed by SavE®HS29 in the first scenario (when the cost is included) and PureTemp 32 in the second scenario without considering the cost. The methodology and results presented in this work are believed to be as efficient as logical for future studies compared with the traditional methods that rely on investigating the PCM thermo-physical properties.Qudama Al-YasiriMárta SzabóElsevierarticlePhase change material (PCM)PCM selectionQualitative decision matrixBuilding energyHeating systemsEngineering (General). Civil engineering (General)TA1-2040ENEnergy Conversion and Management: X, Vol 12, Iss , Pp 100150- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Phase change material (PCM) PCM selection Qualitative decision matrix Building energy Heating systems Engineering (General). Civil engineering (General) TA1-2040
spellingShingle	Phase change material (PCM) PCM selection Qualitative decision matrix Building energy Heating systems Engineering (General). Civil engineering (General) TA1-2040 Qudama Al-Yasiri Márta Szabó Selection of phase change material suitable for building heating applications based on qualitative decision matrix
description	Phase change materials (PCMs) are successful thermal energy storage mediums in many thermal systems, including buildings. Identifying the best PCM candidate is a critical incorporation parameter that influences building thermal performance. This paper discusses the selection of potential PCM candidates that could be applied for building heating applications in cold locations. A qualitative decision matrix (QDM) is applied for several commercial PCMs after an extensive analysis of relevant literature studies. The melting temperature, heat of fusion, thermal conductivity, compatibility, flammability and cost of each PCM are considered in the QDM to find the most suitable candidates with the best effective properties and features. PCM properties/features are assigned with scores and weights in the QDM based on their importance for the application. Three scenarios are investigated in this work, including and excluding the PCM cost with varying and equal weights. Results showed that RT28HC had the highest score in all scenarios, followed by SavE®HS29 in the first scenario (when the cost is included) and PureTemp 32 in the second scenario without considering the cost. The methodology and results presented in this work are believed to be as efficient as logical for future studies compared with the traditional methods that rely on investigating the PCM thermo-physical properties.
format	article
author	Qudama Al-Yasiri Márta Szabó
author_facet	Qudama Al-Yasiri Márta Szabó
author_sort	Qudama Al-Yasiri
title	Selection of phase change material suitable for building heating applications based on qualitative decision matrix
title_short	Selection of phase change material suitable for building heating applications based on qualitative decision matrix
title_full	Selection of phase change material suitable for building heating applications based on qualitative decision matrix
title_fullStr	Selection of phase change material suitable for building heating applications based on qualitative decision matrix
title_full_unstemmed	Selection of phase change material suitable for building heating applications based on qualitative decision matrix
title_sort	selection of phase change material suitable for building heating applications based on qualitative decision matrix
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/71f2bf2148c54ff6a2adc90168527311
work_keys_str_mv	AT qudamaalyasiri selectionofphasechangematerialsuitableforbuildingheatingapplicationsbasedonqualitativedecisionmatrix AT martaszabo selectionofphasechangematerialsuitableforbuildingheatingapplicationsbasedonqualitativedecisionmatrix
_version_	1718400657725063168

Selection of phase change material suitable for building heating applications based on qualitative decision matrix

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