MARATTO

review · Energy Reports

Optimisation of thermal energy storage systems incorporated with phase change materials for sustainable energy supply: A systematic review

202360 citationsOpen accessCape Coast Technical University

In plain language

Thermal energy storage systems, also termed thermal batteries, use phase change materials to support sustainable energy supply by improving the efficiency, reliability, and security of renewable energy systems, reducing greenhouse gas emissions, and expanding energy access in isolated areas. A systematic literature review covering 2013 to 2023 analysed research on thermal batteries across industrial, commercial, and domestic settings to identify the key factors determining their performance. The review establishes that system optimisation requires careful consideration of material thermophysical properties, design configurations, and operating conditions. Furthermore, it outlines current knowledge gaps and proposes future research pathways, specifically highlighting the integration of artificial intelligence and machine learning to achieve faster and more precise system optimisation for industrial and academic deployment.

Key takeaways

  • Thermal batteries integrated with phase change materials enhance the efficiency and reliability of renewable energy systems while lowering emissions.
  • System optimisation depends fundamentally on material thermophysical properties, design configurations, and operating conditions.
  • Thermal batteries are applicable across industrial, commercial, and domestic sectors, including isolated regions lacking stable energy access.
  • Artificial intelligence and machine learning offer promising avenues for faster and more precise thermal battery optimisation.

Why it matters

Energy storage is critical for making renewable energy reliable and accessible, especially in off-grid or remote areas. By reviewing how phase change materials improve thermal batteries, this research clarifies how design, materials, and operating conditions interact to maximise energy efficiency, offering a clearer pathway towards lower emissions and greater energy security across homes and businesses.

Commercialisation angle

The findings apply to industrial, commercial, and domestic energy systems seeking to integrate renewable sources or secure energy in isolated regions. Because this is a systematic review of existing research from 2013 to 2023 rather than a prototype trial, it sits at an early, analytical stage. Industry practitioners and developers can use its design and material insights, alongside proposed machine learning techniques, to guide future thermal battery optimisation.

AI-generated from the published abstract. Always read the original work before citing.

Abstract

Thermal energy storage systems, also known as thermal batteries integrated with phase change materials, have gained significant attention in recent years as a promising solution for sustainable energy supply. Thermal batteries can significantly promote a sustainable energy supply by boosting the efficiency and reliability of renewable energy systems, enhancing energy access in isolated regions, lowering greenhouse gas emissions, and enhancing energy security. However, there are still challenges to optimising these systems to maximise their efficiency and effectiveness. This study presents a systematic literature review of various thermal batteries for industrial, commercial, and domestic applications. The preferred reporting items for systematic reviews and meta-analyses guidelines were adopted for this review. The primary objective was to identify factors affecting thermal battery performance. Data collection was focused on research papers published from 2013–2023 extracted from the Scopus, Web of Science, and Google Scholar databases. The study findings highlight the importance of considering material thermophysical properties, design configurations, and operating conditions when optimising thermal batteries. Also, this study highlights the current state of knowledge in the field and suggests future research and development directions. In particular, artificial intelligence and machine learning are suggested to promote faster and more precise optimisation of thermal batteries. The findings of this study are useful to academia and industries promoting the adoption of sustainable energy solutions for a greener and more resilient future.

Research topics

  • Phase Change Materials Research
  • Adsorption and Cooling Systems
  • Advanced Battery Technologies Research

Read the original research

This page summarises published work. The authoritative version sits with the publisher.

DOI: 10.1016/j.egyr.2023.09.044

Is something wrong with this record? Report it or request removal.

Discussion

Discuss this research

Have you built on this work, tried to replicate it, or seen it applied in practice? Share what you know. Verified researchers and MARATTO™ domain experts can open a discussion, and any member can reply. Contributions are reviewed before they appear.

No discussion yet. Open the first thread.