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- W2318462246 abstract "A systematic modeling method is proposed to predict the power requirement of a chiller system consisting of a refrigerator. First, with a lack of measurements, a prediction method for the overall efficiency is developed based on thermodynamic theories and reliable assumptions. An artificial neural network (ANN) is employed to predict the overall efficiency. The actual power consumption of the chiller system is then calculated from the overall efficiency. Next, the proposed modeling method is verified by comparing it with measurements, and it is shown to accurately predict power consumption. Finally, the model is applied to the industrial chiller systems of liquid crystal display (LCD) manufacturing processes with the goal of saving energy. Two proposals for saving energy are suggested. The proposed modeling method can be applied to determine better operating conditions for chiller systems in various processes." @default.
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- W2318462246 date "2012-02-07" @default.
- W2318462246 modified "2023-09-26" @default.
- W2318462246 title "Modeling and Optimization of the Turbo-Compression Chiller Systems in the LCD Process" @default.
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- W2318462246 doi "https://doi.org/10.1021/ie201229s" @default.
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