Mattia Semeraro
Enhancing the Value Proposition of Large-Scale Thermal Energy Storage Through Data-Driven Analysis.
Rel. Elisa Guelpa, Adriano Sciacovelli. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Energetica E Nucleare, 2026
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Abstract
The decarbonization of heavy industries is one important challenge of our time, due to the wide usage of non-sustainable fuels. The electrification of the high temperature processes is a valuable path, but it is subject to the high volatility of the electricity prices. This thesis aims to reduce the effect of this volatility operating on the intermittent purchase of electricity and the storage of the produced heat in a sensible packed beds thermal energy storage PBTES. The focus of the first part of the thesis is modelling of a 1D 2 phase model of the storage based on the heat equation, and the analysis of the storage properties, materials and size in order to make it suitable for the dynamic operation.
The second part aims to implement an algorithm to control the electricity purchase and then make an economic evaluation of the investment thought a data-based analysis
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