<script type="text/javascript">
<!--
document.write('<div id="oa_widget"></div>');
document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=undefined&type=result"></script>');
-->
</script>
Cultural heritage buildings represent invaluable historical and architectural assets, but their preservation often conflicts with the need for modern energy efficiency. This paper presents a novel framework for digital twin development that adopts a multimodal approach to provide an open-source environment of a CH building with the goal to simulate and optimize energy performance in heritage structures. By integrating diverse data modalities, such as structural analysis, environmental monitoring, and multimedia documentation, the proposed digital twin provides a comprehensive, dynamic representation of the building’s energy behavior. This approach enables more accurate simulations of energy performance, facilitating informed decision-making for sustainable retrofitting while respecting the unique constraints of cultural heritage conservation. The application of this framework in a real case study demonstrates the potential of multimodal digital twins to bridge the gap between preservation and energy efficiency, to increase immersiveness and to highlight their role in advancing sustainable management practices for heritage sites. The findings underscore the transformative potential of digital twin technology in fostering sustainable, data-driven solutions for cultural heritage conservation.
immersive technologies, simulations, cultural heritage, energy performance, Digital Twins
immersive technologies, simulations, cultural heritage, energy performance, Digital Twins
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |