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http://dx.doi.org/10.6109/jkiice.2021.25.10.1302

Binary Power plant using unused thermal energy and Neural Network Controllers  

Han, Kun-Young (AI Grand ICT Research Center, Dong-Eui University)
Park, Sung-Dae (Digital Contents Engineering, Dong-Eui University)
Abstract
Recently, the Korean Government announced the Korean New Deal as a national development strategy to overcome the economic recession from the pandemic crisis and lead the global action against structural changes. In the Korean New Deal, the Green New Deal related with the energy aims to achieve net-zero emissions and accelerates the transition towards a low-carbon and green economy. To this end, the government plans to promote an increased use of renewable energy in the society at large. This paper introduces a binary power generation using unused low-grade thermal energy to accelerate the transition towards a low-carbon and green economy and examines a control system based on Neural Network which is capable maintenance at low-cost by an unmanned automated operation in actual power generation environment. It is expected that the realization of binary power generation accelerates introduction of renewable energy along with solar and wind power.
Keywords
Korean new deal; Unused thermal energy; Binary power generation; Neural network; control;
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