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International Journal of AI for
            Materials and Design
                                                            Phase change materials and digital twin technology in thermal energy


            conventional scheduling techniques. Developers will   framework, the PCM is integrated into the building
            incorporate customer feedback into iterative software   structure.  Figure  8 depicts the intelligent building’s
            updates until the software reaches a satisfactory level. Only   PCW material and thermal network modeled using DT
            then will it be ready for full-scale implementation, testing,   technology.
            and maintenance.
                                                               4.2. Real-world applications of DT technology in TES
              The phase change wall (PCW) structure serves as
            the foundation for TES within the building. In response   The growing global demand for energy is a major concern,
            to temperature fluctuations, a PCM undergoes a     particularly with the increasing number of people living
            transformation in its physical properties, which either   in  urban  areas.  The  depletion  of  energy  resources  is
            increases or decreases its heat absorption capacity.  Most   contributing significantly to environmental issues, such
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            PCMs used in construction materials today are stored in   as climate change, the expansion of the ozone hole, and
            solid-liquid mixtures. Liu et al.  developed form-stabilized   global warming. In a study by South Korean researchers
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            PCMs with appropriate latent heat enthalpies.  These   Seo  et al.,  the energy consumption of a university
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            materials demonstrated excellent heat control and shape   classroom building was reduced by 60% after switching
            retention properties.  Within this indoor construction   to  LED  lighting,  using  a  turn-off  technique.  However,
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                                                               they also found that LED lights tend to consume more
                                                               energy than expected and require adjustments. The
                                                               study did not address the potential financial costs of
                                                               LED bulbs, or the level of satisfaction occupants might
                                                               have with the lighting’s performance. DT technology has
                                                               been the subject of several studies aimed at improving
                                                               building energy management, with the goal of enhancing
                                                               thermal comfort and energy efficiency.  Table 3 provides
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                                                               real-world applications of DT technology in intelligent
                                                               buildings.
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                                                                 Qian  et al.  conducted a year-long study of thermal
                                                               sensation votes using a DT platform to learn about indoor
                                                               and semi-open space environmental conditions. Their
                                                               findings revealed that occupants felt hot and uncomfortable
                                                               throughout the day and night during the summer. In
                                                               another study focused on human-centered monitoring in
                                                               intelligent buildings, Deng et al.  utilized digital identity
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                                                               technology to gain insights into indoor thermal comfort.
                                                               The  study classified  two types  of identification  –  digital
            Figure 7. Energy conversion through DT technology  and non-digital –into two sets. According to the responses,
            Abbreviation: DT: Digital twin.                    participants with digital identities reported improved






















                                         Figure 8. Energy conversion through digital twin technology


            Volume 1 Issue 3 (2024)                         59                             doi: 10.36922/ijamd.4696
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