Can thermal energy storage be integrated into low-temperature heating & high- temperature cooling systems?

The present review article examines the control strategies and approaches, and optimization methods used to integrate thermal energy storage into low-temperature heating and high-temperature cooling systems. The following are conclusions and suggestions for future research and implementation in this field:

Can artificial intelligence be used for Intelligent Thermal energy storage?

Artificial intelligence (AI) is vital for intelligent thermal energy storage (TES). AI applications in modelling, design and control of the TES are summarized. A general strategy of the completely AI-based design and control of TES is presented. Research on the AI-integrated TES should match the feature of future energy system.

What is thermal energy storage?

Abstract Thermal energy storage (TES) is recognized as a well-established technology added to the smart energy systems to support the immediate increase in energy demand, flatten the rapid supply-side changes, and reduce energy costs through an efficient and sustainable integration.

What factors limit the commercial deployment of thermal energy storage systems?

One of the key factors that currently limits the commercial deployment of thermal energy storage (TES) systems is their complex design procedure, especially in the case of latent heat TES systems. Design procedures should address both the specificities of the TES system under consideration and those of the application to be integrated within.

Can model predictive control strategies be used in active thermal energy storage systems?

They categorized the control approaches based on the system's size and storage material to detect the gaps in the literature. A throughout review on using model predictive control strategies in active thermal energy storage systems was proposed by Tarragona et al. , highlighting the recent efforts to overcome the computational issues.

What is energy storage?

The presented methodology eases the design process of TES systems and decreases the amount of time needed to size them from days/hours to minutes. Energy Storage is a new journal for innovative energy storage research, covering ranging storage methods and their integration with conventional & renewable systems.