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International Journal of AI for
            Materials and Design
                                                                             Advancing RACHP systems with digital twins


            the performance of heating, cooling, and thermal energy   it aims to investigate the potential of digital twins in
            storage  systems,  thereby  maximizing  energy  efficiency   suggesting  predictive  maintenance  strategies  to  extend
            and minimizing operational costs. By leveraging the data-  system lifespan and improve energy efficiency.
            driven insights derived from digital twins, the overall   Researchers, practitioners, and industry experts are
            system efficiency can be enhanced, leading to increased   encouraged to submit original research articles, case
            sustainable energy usage.                          studies, and reviews for publication in this special issue. As
              The potential of digital twins extends directly to real-  we strive toward a more energy-efficient and sustainable
            time control and automation. By leveraging the continuous   world, the importance of the digital twin technology in
            data updates provided by physical systems to inform   heating, cooling, and thermal energy storage systems
            immediate decision-making processes, the operations of   cannot be overstated.
            heating, cooling, and thermal energy storage systems can   We  look  forward  to  your  contributions,  which  will
            be dynamically adjusted, ensuring optimal performance   help shape the future of heating and cooling systems
            and efficient energy management.                   and foster innovation in the field of heating and cooling
              Another key application of digital twins is in fault   system.
            detection and predictive maintenance. Early detection
            of anomalies or performance degradation in heating,   Conflict of interest
            cooling, and thermal energy storage systems is essential   Angelo Maiorino and Fabio Petruzziello are the Guest

            for maintaining operational efficiency and reliability. By   Editors of this special issue.
            continuously monitoring and comparing actual data with
            the predictions of a digital twin model, potential issues   References
            can be detected before they become severe problems.   1.   Maiorino A, Petruzziello F, Aprea C. Refrigerated transport:
            This enables the timely implementation of maintenance   State of the art, technical issues, innovations and challenges
            strategies that extend the lifespan of these systems and   for sustainability. Energies. 2021;14:7237.
            improve energy efficiency.
                                                                  doi: 10.3390/en14217237
              Offering accurate and timely data to digital twins is
            critical for the effective real-time management of heating,   2.   Balali Y, Chong A, Busch A, O’Keefe S. Energy modelling
                                                                  and control of building heating and cooling systems with
            cooling, and thermal energy storage systems. Advanced   data-driven and hybrid models--A review.  Renew Sustain
            sensors, thermal energy metering, and IoT devices play a   Energy Rev. 2023;183:113496.
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            required to keep digital twins updated and functioning      doi: 10.1016/j.rser.2023.113496
            optimally.                                         3.   Jafari M, Kavousi-Fard AA, Chen T, Karimi M. A  review
                                                                  on digital twin technology in smart grid, transportation
              The ultimate aim of implementing the digital twin   system and smart city: Challenges and future. IEEE Access.
            technology in heating and cooling systems is to improve   2023;11:17471-17484.
            energy efficiency and promote sustainability. By optimizing
            system performance, enabling real-time control, and      doi: 10.1109/ACCESS.2023.3241588
            facilitating predictive maintenance, digital twins can   4.   Vering C, Borges S, Coakley D, Kruetzfeldt H, Mehrfeld P,
            substantially reduce energy consumption and minimize   Müller D. Digital Twin Design with On-line Calibration
            the environmental impact.                             for HVAC Systems in Buildings. In: Proceedings of Building
                                                                  Simulation 2021: 17  Conference of IBPSA; 2021.
                                                                                 th
              By presenting pioneering studies on numerical modeling
            that contribute to the development of high-fidelity digital      doi: 10.26868/25222708.2021.30117
            twins,  particularly focusing  on the intricate  relations   5.   Vering C, Mehrfeld P, Nürenberg M, Coakley D, Lauster MR,
            between heating, cooling, and thermal energy storage   Müller D. Unlocking Potentials of Building Energy Systems’
            systems, this special issue aims to emphasize the key role   Operational Efficiency: Application of Digital Twin Design
                                                                                     th
            of digital twins in fostering a more sustainable future for   for HVAC systems. In: 16  International Conference of the
            heating and cooling systems. This issue seeks to explore the   International Building Performance Simulation  Association
                                                                  (Building Simulation 2019). Rome, Italy; 2019. p. 1304-1310.
            integration of digital twins into control systems to enhance
            energy management. Moreover, it focuses on the latest      doi: 10.26868/25222708.2019.210257
            advancements in sensor technology and IoT integration   6.   Hodavand F, Ramaji IJ, Sadeghi N. Digital twin for fault
            as well as the possibility of effectively managing heating,   detection and diagnosis of building operations: A systematic
            cooling, and thermal energy storage systems. Furthermore,   review. Buildings. 2023;13:1426.


            Volume 1 Issue 3 (2024)                         2                              doi: 10.36922/ijamd.4532
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