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fPCM Selection for Latent Heat Storage by MCDM

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Innovation and Research (CI3 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1277))

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Abstract

A common complication in industry is the difference between available thermal energy and its application period. Using thermal energy storage with phase change materials (PCMs) will increase considerably the energy efficiency in industry and will solve the gap between energy supply and consumption. This research aims to select a PCM which better accomplish the solution of the TES between 200–400 °C and reduce the cost of production.

MCDM have been developed to resolve the problem. The MCMD methods were complex proportional assessment of alternatives such as COPRAS-G, TOPSIS and VIKOR methods. The criteria weighting was performed by AHP and Entropy method. The correlation of the results between three ranking methods has been developed by the Spearman’s correlation coefficient. The results illustrated the best choices of the three MCDM were NaOH and KNO3, due to the highest values of the most important criteria. Furthermore, Spearman’s correlation between both methods exceeds 0,714.

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Acknowledgment

This research takes part of the project P121819, Parque de Energias Renovables founded by Universidad International SEK. This research takes part of the project Selection, characterization and simulation of phase change materials for thermal comfort, cooling and energy storage. This project is part of the INEDITA call for R&D research projects in the field of energy and materials.

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Authors and Affiliations

  1. Universidad internacional SEK, Quito Albert Einstein s/n and 5th, Quito, Ecuador

    Javier Martìnez-Gomez

  2. Instituto de Investigación Geológico y Energético (IIGE), Quito, Ecuador

    Gonzalo Guerrón, C. Ricardo A. Narváez, Francis Vasquez, Luis Godoy-Vaca, E. Catalina Vallejo-Coral & Marco Orozco

Authors
  1. Javier Martìnez-Gomez
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  2. Gonzalo Guerrón
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  3. C. Ricardo A. Narváez
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  4. Francis Vasquez
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  5. Luis Godoy-Vaca
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  6. E. Catalina Vallejo-Coral
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  7. Marco Orozco
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Corresponding author

Correspondence to Javier Martìnez-Gomez .

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Editors and Affiliations

  1. Eindhoven University of Technology, Eindhoven, Noord-Brabant, The Netherlands

    Miguel Botto-Tobar

  2. Universidad Técnica del Norte, Ibarra, Ecuador

    Marcelo Zambrano Vizuete

  3. University of Valencia, Valencia, Valencia, Spain

    Angela Díaz Cadena

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Martìnez-Gomez, J. et al. (2021). fPCM Selection for Latent Heat Storage by MCDM. In: Botto-Tobar, M., Zambrano Vizuete, M., Díaz Cadena, A. (eds) Innovation and Research. CI3 2020. Advances in Intelligent Systems and Computing, vol 1277. Springer, Cham. https://doi.org/10.1007/978-3-030-60467-7_36

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