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Analysis of energy efficiency improvement of high-tech fabrication plants

Author

Listed:
  • Shih-Cheng Hu
  • Tee Lin
  • Ben-Ran Fu
  • Cheng-Kung Chang
  • I-Yun Cheng

Abstract

In this study, we developed simulation software for the energy consumption of high-tech fabrication plants. The developed fab energy simulation (FES) featured more detailed characteristics of the subsystems than existing simulation tools. The calculated results of the FES were validated using the annual operating data of a Taiwanese semiconductor manufacturing fab. The measured data indicated three major energy consumers in the studied fab—the process tool, water chiller and clean dry air systems. The annual consumption of electricity calculated with the FES showed a deviation of only −0.73% compared with the measured data. The calculated results exhibited an energy consumption trend that was very similar to the measured data, indicating the reliability of the FES. The FES results also demonstrated excellent agreement with the calculated results of the commercial tool ‘CleanCalc II’. Additionally, the FES was employed to study the energy consumption under different conditions. The results revealed that the energy consumption of the chiller system reduced significantly by 43.7% when the chiller system with a coefficient of performance of 8 was used. This reduction in the energy consumption corresponded to 10% of the total energy consumption in the fab, indicating significant energy-saving potential.

Suggested Citation

  • Shih-Cheng Hu & Tee Lin & Ben-Ran Fu & Cheng-Kung Chang & I-Yun Cheng, 2019. "Analysis of energy efficiency improvement of high-tech fabrication plants," International Journal of Low-Carbon Technologies, Oxford University Press, vol. 14(4), pages 508-515.
    • Handle: RePEc:oup:ijlctc:v:14:y:2019:i:4:p:508-515.
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    File URL: http://hdl.handle.net/10.1093/ijlct/ctz041
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    Cited by:

    1. Zhao, Wenxuan & Li, Hangxin & Wang, Shengwei, 2024. "A generic design optimization framework for semiconductor cleanroom air-conditioning systems integrating heat recovery and free cooling for enhanced energy performance," Energy, Elsevier, vol. 286(C).
    2. Wang, Kung-Jeng & Lin, Chiuhsiang Joe & Dagne, Teshome Bekele & Woldegiorgis, Bereket Haile, 2022. "Bilayer stochastic optimization model for smart energy conservation systems," Energy, Elsevier, vol. 247(C).
    3. Mieczysław Porowski & Monika Jakubiak, 2022. "Energy-Optimal Structures of HVAC System for Cleanrooms as a Function of Key Constant Parameters and External Climate," Energies, MDPI, vol. 15(1), pages 1-41, January.

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