High-temperature molten salts optimisation using mixture design for energy storage application

Mahesh Vaka; Rashmi Walvekar; Priyanka Jagadish; Mohammad Khalid; Nabisab Mujawar Mubarak; Hitesh Panchal

doi:10.1016/j.est.2020.101981

High-temperature molten salts optimisation using mixture design for energy storage application

Mahesh Vaka^*, Rashmi Walvekar, Priyanka Jagadish, Mohammad Khalid, Nabisab Mujawar Mubarak, Hitesh Panchal

^*Corresponding author for this work

Chemical And Process Engineering

Research output: Contribution to journal › Article › peer-review

21 Citations (Scopus)

Abstract

In this paper, the D-optimal mixture design method was used to determine the formulation of molten salts and optimise the following salt components: NaNO₃ (A), KNO₃ (B), LiNO₃ (C), CsNO₃ (D), Ca(NO₃)₂ (E). The one-step method was used to synthesise 22 different combinations of a high-temperature molten salt mixture by varying molar ratios. The screening of high-temperature molten salt was based on the melting point, and the optimum eutectic salt mixture obtained from the Design of Experiment (DOE) shows the lowest melting point of 61.4 °C. Based on the experiments designed by Design of Experiment (DOE) software V9, a quadratic model was generated as a function of different salt components. Differential scanning calorimeter (DSC) was used to analyse the melting point of the eutectic salt mixture. Moreover, the optimum values fitted by the model was justified by using Analysis of Variance (ANOVA). The deviation between the experimental and predicted value was negligible (-0.56 %), which is in close relation with the DOE model.

Original language	English
Article number	101981
Journal	Journal of Energy Storage
Volume	32
Early online date	19 Oct 2020
DOIs	https://doi.org/10.1016/j.est.2020.101981
Publication status	Published - Dec 2020

Funding

This work was supported by Taylor's University through its Taylor's PhD Scholarship Programme and Taylor's University Flagship Grant (TUFR/2017/001/01). The authors would also like to thank TA instruments, Malaysia for assisting in DSC analysis.

Keywords

CSP
DOE
Energy storage
Mixture design
Molten salts
Optimisation

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1016/j.est.2020.101981

Cite this

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title = "High-temperature molten salts optimisation using mixture design for energy storage application",

abstract = "In this paper, the D-optimal mixture design method was used to determine the formulation of molten salts and optimise the following salt components: NaNO3 (A), KNO3 (B), LiNO3 (C), CsNO3 (D), Ca(NO3)2 (E). The one-step method was used to synthesise 22 different combinations of a high-temperature molten salt mixture by varying molar ratios. The screening of high-temperature molten salt was based on the melting point, and the optimum eutectic salt mixture obtained from the Design of Experiment (DOE) shows the lowest melting point of 61.4 °C. Based on the experiments designed by Design of Experiment (DOE) software V9, a quadratic model was generated as a function of different salt components. Differential scanning calorimeter (DSC) was used to analyse the melting point of the eutectic salt mixture. Moreover, the optimum values fitted by the model was justified by using Analysis of Variance (ANOVA). The deviation between the experimental and predicted value was negligible (-0.56 %), which is in close relation with the DOE model.",

keywords = "CSP, DOE, Energy storage, Mixture design, Molten salts, Optimisation",

author = "Mahesh Vaka and Rashmi Walvekar and Priyanka Jagadish and Mohammad Khalid and Mubarak, {Nabisab Mujawar} and Hitesh Panchal",

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AU - Walvekar, Rashmi

AU - Jagadish, Priyanka

AU - Khalid, Mohammad

AU - Mubarak, Nabisab Mujawar

AU - Panchal, Hitesh

PY - 2020/12

Y1 - 2020/12

N2 - In this paper, the D-optimal mixture design method was used to determine the formulation of molten salts and optimise the following salt components: NaNO3 (A), KNO3 (B), LiNO3 (C), CsNO3 (D), Ca(NO3)2 (E). The one-step method was used to synthesise 22 different combinations of a high-temperature molten salt mixture by varying molar ratios. The screening of high-temperature molten salt was based on the melting point, and the optimum eutectic salt mixture obtained from the Design of Experiment (DOE) shows the lowest melting point of 61.4 °C. Based on the experiments designed by Design of Experiment (DOE) software V9, a quadratic model was generated as a function of different salt components. Differential scanning calorimeter (DSC) was used to analyse the melting point of the eutectic salt mixture. Moreover, the optimum values fitted by the model was justified by using Analysis of Variance (ANOVA). The deviation between the experimental and predicted value was negligible (-0.56 %), which is in close relation with the DOE model.

AB - In this paper, the D-optimal mixture design method was used to determine the formulation of molten salts and optimise the following salt components: NaNO3 (A), KNO3 (B), LiNO3 (C), CsNO3 (D), Ca(NO3)2 (E). The one-step method was used to synthesise 22 different combinations of a high-temperature molten salt mixture by varying molar ratios. The screening of high-temperature molten salt was based on the melting point, and the optimum eutectic salt mixture obtained from the Design of Experiment (DOE) shows the lowest melting point of 61.4 °C. Based on the experiments designed by Design of Experiment (DOE) software V9, a quadratic model was generated as a function of different salt components. Differential scanning calorimeter (DSC) was used to analyse the melting point of the eutectic salt mixture. Moreover, the optimum values fitted by the model was justified by using Analysis of Variance (ANOVA). The deviation between the experimental and predicted value was negligible (-0.56 %), which is in close relation with the DOE model.

KW - CSP

KW - DOE

KW - Energy storage

KW - Mixture design

KW - Molten salts

KW - Optimisation

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VL - 32

JO - Journal of Energy Storage

JF - Journal of Energy Storage

M1 - 101981

ER -

High-temperature molten salts optimisation using mixture design for energy storage application

Abstract

Funding

Keywords

UN SDGs

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