AccScience Publishing / IJAMD / Volume 1 / Issue 3 / DOI: 10.36922/ijamd.4532
EDITORIAL

Unlocking the potential of digital twins in heating, cooling, and thermal energy storage technologies

Angelo Maiorino1 Fabio Petruzziello1*
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1 Department of Industrial Engineering, Università di Salerno, Fisciano, Salerno, Italy
IJAMD 2024, 1(3), 1–3; https://doi.org/10.36922/ijamd.4532
Submitted: 15 August 2024 | Published: 10 October 2024
© 2024 by the Author(s). This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution 4.0 International License ( https://creativecommons.org/licenses/by/4.0/ )
Conflict of interest
Angelo Maiorino and Fabio Petruzziello are the Guest Editors of this special issue.
References
  1. Maiorino A, Petruzziello F, Aprea C. Refrigerated transport: State of the art, technical issues, innovations and challenges for sustainability. Energies. 2021;14:7237. doi: 10.3390/en14217237

 

  1. Balali Y, Chong A, Busch A, O’Keefe S. Energy modelling and control of building heating and cooling systems with data-driven and hybrid models--A review. Renew Sustain Energy Rev. 2023;183:113496. doi: 10.1016/j.rser.2023.113496

 

  1. Jafari M, Kavousi-Fard AA, Chen T, Karimi M. A review on digital twin technology in smart grid, transportation system and smart city: Challenges and future. IEEE Access. 2023;11:17471-17484. doi: 10.1109/ACCESS.2023.3241588

 

  1. Vering C, Borges S, Coakley D, Kruetzfeldt H, Mehrfeld P, Müller D. Digital Twin Design with On-line Calibration for HVAC Systems in Buildings. In: Proceedings of Building Simulation 2021: 17th Conference of IBPSA; 2021. doi: 10.26868/25222708.2021.30117

 

  1. Vering C, Mehrfeld P, Nürenberg M, Coakley D, Lauster MR, Müller D. Unlocking Potentials of Building Energy Systems’ Operational Efficiency: Application of Digital Twin Design for HVAC systems. In: 16th International Conference of the International Building Performance Simulation Association (Building Simulation 2019). Rome, Italy; 2019. p. 1304-1310. doi: 10.26868/25222708.2019.210257

 

  1. Hodavand F, Ramaji IJ, Sadeghi N. Digital twin for fault detection and diagnosis of building operations: A systematic review. Buildings. 2023;13:1426. doi: 10.3390/buildings13061426

 

  1. Arowoiya VA, Moehler RC, Fang Y. Digital twin technology for thermal comfort and energy efficiency in buildings: A state-of-the-art and future directions. Energy Built Environ. 2024;5:641-656. doi: 10.1016/j.enbenv.2023.05.004

 

  1. Feng PH, Zhao BC, Wang RZ. Thermophysical heat storage for cooling, heating, and power generation: A review. Appl Therm Eng. 2020;166:114728. doi: 10.1016/j.applthermaleng.2019.114728
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International Journal of AI for Materials and Design, Electronic ISSN: 3029-2573 Print ISSN: 3041-0746, Published by AccScience Publishing