Comprehensive Performance Evaluation of Phase Change Materials Using Multi-Attribute Decision Making Method: TOPSIS

Abstract- Phase change materials store large amount of heat in the form of latent heat of fusion. For latent heat thermal energy storage systems, the comprehensive performance evaluation of phase change materials is very important task for the selection of the most suitable phase change material from among multiple alternative one. It is a typical multi-attribute decision making (MADM) problem. This work proposed a MADM approach to evaluate the comprehensive performance of the phase change materials using technique for order preference by similarity to ideal solution (TOPSIS), and applied it to evaluate the comprehensive performance of 9 alternative phase change materials for solar domestic hot water system. As the result, the comprehensive performance ranking of the phase change materials was n-eicosane, n-octadecane, n-nonadecane, RT 60, RT 30, calcium chloride hexa-hydrate, n-docosane, p116, and stearic acid. It could be actively applied to not only the phase change materials but also various materials comprehensive performance evaluation ones arising in practice.

Phase Change Material, Multi-Attribute Decision Making, Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), Solar Domestic Hot Water System

1. Rathod, M.K., & Kanzaria, H.V. (2011) A methodological concept for phase change material selection based on multiple criteria decision analysis with and without fuzzy environment. Materials and Design, 32(6), 3578–3585. https://doi.org/10.1016/j.matdes.2011.02.040 [Google Scholar] [Crossref]

2. Hwang, C.L., & Yoon, K. (1981) Multiple Attribute Decision Making: Methods and Applications. New York: Springer-Verlag. [Google Scholar] [Crossref]

3. Jahan, A., Edwards, K.L., & Bahraminasab, M. (2016) Multi-criteria decision analysis for supporting the selection of engineering materials in product design. Oxford: Butterworth-Heinemann. [Google Scholar] [Crossref]

4. Zakeri1, S., Chatterjee, P., Konstantas, D., & Ecer, F. (2023) A decision analysis model for material selection using simple ranking process. Scientifc Reports, 13, 8631. https://doi.org/10.1038/s41598-023-35405-z [Google Scholar] [Crossref]

5. Rastogi, M, Chauhan, A, Vaish, R, & Kishan, A (2015) Selection and performance assessment of Phase Change Materials for heating, ventilation and air-conditioning applications. Energy Conversion and Management, 89, 260-269. [Google Scholar] [Crossref]

6. Bhowmik, C., Bhowmik, S., & Ray, A. (2018) Selection of High Temperature Phase Change Materials for Energy Storage. Research & Development in Material Science, 5(4), 485-487. [Google Scholar] [Crossref]

7. Yang, K., Zhu, N., Chang, C., Wang, D., Yang, S., & Ma, S. (2018) A methodological concept for phase change material selection based on multi-criteria decision making (MCDM): A case study. Energy, 165, 1085–1096. [Google Scholar] [Crossref]

8. Maghsoodi, A. I., Soudian, S., Martínez, L., Herrera-Viedma, E., & Zavadskas, E. K. (2020) A phase change material selection using the interval-valued target-based BWM-CoCoMULTIMOORA approach: A case-study on interior building applications. Appl. SofComput. 95, 106508, 1-20. https://doi.org/10.1016/j.asoc.2020.106508 [Google Scholar] [Crossref]

9. Gadhave, P. D., Prabhune, C., & Pathan, F. (2020) Selection of phase change material for domestic water heating using multi criteria decision approach. Aust. J. Mech. Eng. 21(1), 295–315. https://doi.org/10.1080/14484846.2020.1842297 [Google Scholar] [Crossref]

10. Oluah, C., Akinlabi, E. T., & Njoku, H. O. (2020) Selection of phase change material for improved performance of Trombe wall systems using the entropy weight and TOPSIS methodology. Energy Build, 217, 109967. https://doi.org/10.1016/j.enbuild.2020.109967 [Google Scholar] [Crossref]

11. Akgün, H., Yapıcı, E., Özkan, A., Günkaya, Z. & Banar, M. A combined multi-criteria decision-making approach for the selection of carbon-based nanomaterials in phase change materials. J. Energy Storage, 60, 106619. https://doi.org/10.1016/j.est.2023.106619 (2023). [Google Scholar] [Crossref]

12. Yang, W.C., Choe, C.M., Kim, J.S., Om, M.S., & Kim, U.H. (2021) Materials selection method using improved TOPSIS without rank reversal based on linear max-min normalization with absolute maximum and minimum values, Materials Research Express, 9, 065503, 1–16. DOI: 10.1088/2053-1591/ac2d6b [Google Scholar] [Crossref]

13. Yang, W.C., Ri, J.B. Yang, J.Y., & Kim, J.S. (2022) Materials selection criteria weighting method using analytic hierarchy process (AHP) with simplest questionnaire and modifying method of inconsistent pairwise comparison matrix. Proc IMechE Part L: Journal of Materials: Design and Applications, 236(1), 69–85. [Google Scholar] [Crossref]

14. Mazman, M, Cabeza, L.F., Mehling, H., Nogues, M., Evliya, H., & Paksoy, H.O. (2009) Utilization of phase change materials in solar domestic hot water systems. Renew Energy, 34, 1639–1643. [Google Scholar] [Crossref]

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