Holism of Thermal Energy Storage: A Data-Driven Strategy for Industrial Decarbonization

Abdulmajeed S. Al-Ghamdi () and Salman Z. Alharthi ()
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Abdulmajeed S. Al-Ghamdi: Mechanical Engineering Department, College of Engineering and architecture, Umm Al-Qura University, Mecca City 24381, Saudi Arabia
Salman Z. Alharthi: Department of Software Engineering, College of Computing, Umm Al-Qura University, Mecca City 24381, Saudi Arabia

Sustainability, 2025, vol. 17, issue 19, 1-42

Abstract: This study presents a holistic framework for adaptive thermal energy storage (A-TES) in solar-assisted systems. This framework aims to support a reliable industrial energy supply, particularly during periods of limited sunlight, while also facilitating industrial decarbonization. In previous studies, the focus was not on addressing the framework of the entire problem, but rather on specific parts of it. Therefore, the innovation in this study lies in bringing these aspects together within a unified framework through a data-driven approach that combines the analysis of efficiency, technology, environmental impact, sectoral applications, operational challenges, and policy into a comprehensive system. Sensible thermal energy storage with an adaptive approach can be utilized in numerous industries, particularly concentrated solar power plants, to optimize power dispatch, enhance energy efficiency, and reduce gas emissions. Simulation results indicate that stable regulations and flexible incentives have led to a 60% increase in solar installations, highlighting their significance in investment expansion within the renewable energy sector. Integrated measures among sectors have increased energy availability by 50% in rural regions, illustrating the need for partnerships in renewable energy projects. The full implementation of novel advanced energy management systems (AEMSs) in industrial heat processes has resulted in a 20% decrease in energy consumption and a 15% improvement in efficiency. Making the switch to open-source software has reduced software expenditure by 50% and increased productivity by 20%, demonstrating the strategic advantages of open-source solutions. The findings provide a foundation for future research by offering a framework to analyze a specific real-world industrial case.

Keywords: sustainability; simulation; A-TES; sensible thermal energy storage; energy management systems; AEMS; energy efficiency; SDGs and industrial decarbonization (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2025
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