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The efficiency improvement of AC induction motor with constant frequency technology

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  • Chuang, Ho-Chiao
  • Li, Guan-De
  • Lee, Chen-Ta

Abstract

In this study, a constant frequency control technique is proposed for improving the overall power efficiency of a squirrel-cage AC induction motor, so that the induction motor can maintain its original operating state under low energy consumption. In this study, a semiconductor component, the Silicon Controlled Rectifier (SCR), was used as the component for adjusting the voltage phase trigger, and a constant frequency control module was developed to trigger the SCR through the output signals.

Suggested Citation

  • Chuang, Ho-Chiao & Li, Guan-De & Lee, Chen-Ta, 2019. "The efficiency improvement of AC induction motor with constant frequency technology," Energy, Elsevier, vol. 174(C), pages 805-813.
    • Handle: RePEc:eee:energy:v:174:y:2019:i:c:p:805-813
    DOI: 10.1016/j.energy.2019.03.019
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    References listed on IDEAS

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    1. Thirugnanasambandam, M. & Hasanuzzaman, M. & Saidur, R. & Ali, M.B. & Rajakarunakaran, S. & Devaraj, D. & Rahim, N.A., 2011. "Analysis of electrical motors load factors and energy savings in an Indian cement industry," Energy, Elsevier, vol. 36(7), pages 4307-4314.
    2. Habib, Mohammad Ahsan & Hasanuzzaman, M. & Hosenuzzaman, M. & Salman, Asif & Mehadi, Md Riyad, 2016. "Energy consumption, energy saving and emission reduction of a garment industrial building in Bangladesh," Energy, Elsevier, vol. 112(C), pages 91-100.
    3. Dhayaneswaran, Y. & Ashok Kumar, L., 2014. "A study on current characteristics of induction motor while operating at its base frequency in textile industry," Energy, Elsevier, vol. 74(C), pages 340-345.
    4. Alsofyani, Ibrahim M. & Idris, N.R.N., 2013. "A review on sensorless techniques for sustainable reliablity and efficient variable frequency drives of induction motors," Renewable and Sustainable Energy Reviews, Elsevier, vol. 24(C), pages 111-121.
    5. Memon, Abdul Jabbar & Shaikh, Muhammad Mujtaba, 2016. "Confidence bounds for energy conservation in electric motors: An economical solution using statistical techniques," Energy, Elsevier, vol. 109(C), pages 592-601.
    6. Abdelaziz, E.A. & Saidur, R. & Mekhilef, S., 2011. "A review on energy saving strategies in industrial sector," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(1), pages 150-168, January.
    7. Kortas, Imen & Sakly, Anis & Mimouni, Mohamed Faouzi, 2017. "Optimal vector control to a double-star induction motor," Energy, Elsevier, vol. 131(C), pages 279-288.
    8. Lu, Shyi-Min & Lu, Ching & Tseng, Kuo-Tung & Chen, Falin & Chen, Chen-Liang, 2013. "Energy-saving potential of the industrial sector of Taiwan," Renewable and Sustainable Energy Reviews, Elsevier, vol. 21(C), pages 674-683.
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