Chiller Operation Optimization and Smart Energy Saving Technology for Intelligent Facilities
This technical solution integrates AI, big data analytics to forecast cooling load demand and estimate the efficiency of different chiller combinations in light of tool health and optimal operation configurations. The optimal chiller configuration and decision support are dynamically provided to enhance energy conservation and green production. Real-time feedback is employed for monitoring model effectiveness for self-calibration and retrain. Domain knowledge and expertise are incorporated to enhance decision quality and practical viability.
In high energy-consuming industries such as semiconductor and TFT-LCD manufacturing, the chillier water system is indispensable to factories but requires huge energy consumption. This technology can provide decision support of operating existing chillers for smart energy-saving without additional facilities investments.
線上展網址：
https://tievirtual.twtm.com.tw/iframe/128a624d-6f2c-423e-a642-7abfc79648bf?group=23bfb1fa-dd5b-4836-81a1-4a1809b1bae5&lang=en
National Tsing Hua University (NTHU), established in 1911 and located in Hsinchu, Taiwan, is one of the top research universities in the country. NTHU offers a wide range of programs in fields such as engineering, science, management, and humanities. The university is known for its strong emphasis on innovation, research excellence, and fostering global perspectives. With a commitment to academic rigor and interdisciplinary collaboration, NTHU plays a key role in advancing knowledge and technological development, contributing to both Taiwan’s growth and the global academic community.
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Technology maturity：Trial production
Exhibiting purpose：Technology transactions、Product promotion、Display of scientific results
Trading preferences：Technical license/cooperation、Negotiate by self
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