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International Journal of AI for
                                                                            Materials and Design





                                        EDITORIAL
                                        Unlocking the potential of digital twins in

                                        heating, cooling, and thermal energy storage
                                        technologies



                                        Angelo Maiorino   and Fabio Petruzziello*
                                        Department of Industrial Engineering, Università di Salerno, Fisciano, Salerno, Italy
                                        (This article belongs to the Special Issue: Cooling, Heating, and Thermal Energy Storage Systems:
                                        Harnessing the Power of Digital Twins)




                                        With the intensification of global concerns regarding energy consumption and
                                        environmental sustainability, developing innovative strategies to manage and optimize
                                        energy systems has become increasingly urgent. Heating and cooling systems are critical
                                        in this context because they account for a substantial portion of the global energy
                                        consumption and carbon emissions.  Effective management of such systems is essential
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                                        to reduce operational costs, mitigate adverse environmental impacts, and facilitate the
                                        transition to sustainable energy practices.  A promising solution in this regard is the
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                                        digital twin technology, a cutting-edge approach offering unprecedented capabilities in
                                        complex system simulations, analyses, and real-time management. A digital twin is a
                                        virtual replica of a physical system that is continuously updated with data from sensors
                                        and Internet of Things (IoT) devices.  The twin aims to accurately mimic the behavior
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                                        of the system under various conditions. In the context of heating, cooling, and thermal
                                        energy storage systems, digital twins can drive substantial transformations, enabling
                                        improved performance monitoring, predictive maintenance, and energy optimization.
                                                                                                            4-7
                                        Hence, digital twins promise considerable improvements in system efficiency, reliability,
            *Corresponding author:      and sustainability.
            Fabio Petruzziello
            (fpetruzziello@unisa.it)      Thermal energy storage systems play a pivotal role in heating and cooling applications
            Citation: Maiorino A, Petruzziello F.   by storing excess energy for later use, thereby balancing supply and demand and
            Unlocking the potential of   improving the overall system efficiency.  Effective interactions among heating, cooling,
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            digital twins in heating, cooling,   and thermal energy storage systems are critical for optimal energy utilization. Digital
            and thermal energy storage
            technologies. Int J AI Mater Design.   twins offer a unique real-time platform for managing and fine-tuning these interactions.
            2024;1(3):1-3.
            doi: 10.36922/ijamd.4532      The special issue “Cooling, Heating, and Thermal Energy Storage Systems: Harnessing
                                        the Power of Digital Twins” launched by the International Journal of AI for Materials and
            Received: August 15, 2024   Design aims to explore and disseminate cutting-edge research and advancements in this
            Published Online: October 10, 2024  rapidly evolving field of digital twin techniques applied to cooling, heating and thermal
            Copyright: © 2024 Author(s).   energy storage systems.
            This is an Open-Access article   Digital twins rely on accurate numerical modeling and simulations to replicate the
            distributed under the terms of the
            Creative Commons Attribution   behavior of heating, cooling, and thermal energy storage systems. These simulations
            License, permitting distribution,   offer in-depth insights into the complex interactions among thermal dynamics, fluid
            and reproduction in any medium,
            provided the original work is   mechanics, and material properties. Through such high-fidelity simulations, engineers,
            properly cited.             and researchers can optimize the design phase of cooling, heating and thermal energy
                                        storage systems by testing different design configurations and operational strategies to
            Publisher’s Note: AccScience
            Publishing remains neutral with   identify the most efficient and sustainable solutions.
            regard to jurisdictional claims in
            published maps and institutional   Digital twins serve as powerful tools for improving system performance by simulating
            affiliations.               various operational scenarios. This capability is  particularly valuable  for optimizing


            Volume 1 Issue 3 (2024)                         1                              doi: 10.36922/ijamd.4532
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