Kick-off of AI-Based Hybrid Water-Thermal Energy Recovery System
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조회 20회 작성일 25-05-26 22:45
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Consortium Selected for Government-Funded Project on AI-Based Hybrid Water-Thermal Energy Recovery System
To promote the widespread adoption of water-thermal energy, the Ministry of Environment is advancing a national R&D program titled "Development of Water-Thermal Energy Utilization Technologies and Energy Mix." A consortium led by Sun&Light and joined by CNI Engineering, Ezen Engineering, Ajou University, and Autosemantics Inc. has recently been selected for the project “Development of AI-Based Small-Scale Distributed Hybrid Water-Thermal Energy Recovery Systems.” The project officially launched with a kick-off meeting held on May 21.
Autosemantics will provide the AI solution for the hybrid energy recovery system being developed by the consortium. The first demonstration site under consideration is Yongsan Dragon City Hotel in Seoul.
With the growing impact of Zero Energy Building (ZEB) regulations, large-scale buildings are increasingly turning to hybrid systems that combine various thermal energy sources such as geothermal, water-thermal, and ice storage energy. Among these, water-thermal energy, which utilizes unused thermal energy from graywater or wastewater, is still in its early stages in Korea. If this project succeeds in commercialization, it is expected to become a viable solution for large new buildings in Seoul, where dense urban structures and underground infrastructure make it difficult to deploy solar or geothermal systems.
#Water-Thermal #Hybrid HVAC System #AI Control
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基于AI的混合型水热能回收系统项目启动
为推动水热能的广泛应用，韩国环境部正推进名为《水热能利用技术及能源组合开发》的国家研发项目。近日，由 Sun&Light 牵头，CNI Engineering、Ezen Engineering、亚洲大学 和 Autosemantics Inc. 共同参与的财团成功入选其中的课题《基于AI的小型分布式混合水热能回收系统开发》，并于 5月21日 举行了项目启动会议。
Autosemantics 将为该财团开发的混合水热能回收系统提供 AI 解决方案，目前正在优先考虑以 首尔龙山龙之城酒店（Yongsan Dragon City Hotel） 作为实证示范场所。
近年来，随着零能耗建筑（ZEB） 相关法规的推进，越来越多的大型建筑开始采用地热、水热、蓄冰等多种热源系统的混合模式。尤其是利用建筑废水或中水中未被利用的热能的水热能源系统，在韩国尚处于起步阶段。如果本次研究实现商业化，将有望成为首尔市区等太阳能和地热利用受限区域内大型新建建筑的有效替代方案。