This AI-assisted system optimizes hydrogen-natural gas combustion by adjusting mixing ratios in real time using flame, temperature, and exhaust data. It improves efficiency by 20%, reduces fuel use, and cuts carbon emissions by up to 25%. Powered by a proprietary LSTO model, it ensures stable performance under varying conditions. Ideal for boilers and furnaces in sectors like semiconductors, food, and biotech, it supports clean energy use and net-zero goals.
The team consists of a Distinguished Professor from the Institute of Energy Engineering at National Taipei University of Technology and a second-generation expert in the boiler and energy industry, with over 30 years of market experience. Having observed that the boiler industry has long prioritized improving thermal efficiency, while control technologies remained underdeveloped, the team spent two years developing AI-assisted combustion control to enhance efficiency and significantly reduce carbon emissions. The technology shows strong commercial potential. The team is also actively advancing hydrogen-enriched combustion for industrial boilers, supporting manufacturers in achieving energy-saving and carbon-reduction goals and creating sustainable value.
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Technology maturity：Mass production
Exhibiting purpose：Product promotion
Trading preferences：Exclusive license/assignment、Negotiate by self
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