This study explores the energy-saving efficiency of a complex water-cooled chiller system composed of multiple chillers, cooling towerswater pumps connected by circulation pipelines. The deep learning modeling method driven by big data provides optimized parameters of the water-cooled chiller system to reduce the power consumption of the chiller system. Experiments show that this technology can increase the power saving efficiency of AU Optronics Longtan L5B factory by 2.42. This method has been implemented in many factories of AUO.

Our team integrates microwave engineeringtraditional textile technology to develops a new microwave dyeing technologyequipment that can quickly dye without heating with a boiler for synthetic fiber. Therefore, it can achieve zero exhaust emissionsshorten the dyeing hours. This technology is highly compatible with most fabrics on the marketup to 4000 dyescolors. In addition, it can build a green supply chain reputation for the textile dyeingfinishing industrymass-produced textile dyeingfinishing technology.

The water two-phase change is used for energy conversion,the average air flow rate of the invention can be completely isolated as long as 0.2 m/sec, which can save 6RT freezing capacity equivalent to 6KW energy consumption compared with the conventional smoke exhausting cabinet body, effectively interacting with the outside world. Space isolation to avoid leakage of high pollution toxic gases

Responding the government’s policy of “circular economy”. The project is to manufacture high value and energy saving construction material (lightweight aggregate) by using Taiwan environmental and industrial waste, such as paper sludge, textile sludge, organic waste solvent from semiconductor industry, and reservoir sludge, etc. Based on fully recyclable concept to create real benefits for domestic ecological environment.

This technique employs AIbig data analytics to precisely forecast cooling load demandestimate efficiency of different chiller combinations. Time-of-Use Pricingoptimal chiller load interval are also considered for practical needs. Decision supports of optimal chiller configuration are provided to enhance energy conservation.

Energy-saving glass is realized using nano-imprinting to fabricate a periodic nano-structures. The glass can suppress the transmission of ultraviolet light such that people are not harmed. The transmission of infrared is largely reduced to lower air-conditioning. On the other hand, transmission is not deteriorated in the visible range to prevent the increment of illumination cost.

This technique employs AIbig data analytics to precisely forecast cooling load demandestimates the efficiency of different chiller combinations. Time-of-Use Pricingoptimal chiller load-interval are also considered for practical needs. Decision supports of optimal chiller configuration is provided to enhance energy conservation. Moreover, using real data feedbackmodel health examination, the model can do self-calibrationmake evolution, continuously learn from the experts,provide decision supports in good quality.