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Energy Flow Modelling Method of Energy Efficiency Improvement for Power-Using Electromechanical Products

Author

Listed:
  • Xiang Wang

    (Department of Mechanical Engineering, Tsinghua University, Beijing 100084, China)

  • Dong Xiang

    (Department of Mechanical Manufacturing and Automation, School of Mechanical Engineering, University of Science and Technology Beijing, Beijing 100083, China)

Abstract

As a crucial factor in the improvement of energy efficiency for power-using electromechanical products, the flow, conversion and distribution of energy are closely related to design variables of products. Simultaneously, performance is the constraint of energy efficiency and is strongly affected by design variables. In order to improve a product’s energy efficiency without compromising performance, an energy flow model with a basic energy flow element (EFE) was built on a functional basis and its modelling procedure is presented in this paper. Containing function, design variable and characteristic energy in EFEs, as well as the interface parameters between EFEs and environment, the model contributes to logically clarifying the relationship between design variables and performance. With the refrigerator as an example, the effectiveness of the energy flow model is verified by a comparison between simulation, based on an energy flow model, and experimentation. Furthermore, five critical design variables of a 265 L refrigerator were screened with the model. Test results of the improved prototype meet the requirements of operating rate and temperature uniformity, and the daily electricity consumption was reduced by about 9%. Comparison between the design results of the energy flow model and the testing results of the prototype demonstrates that the energy efficiency improvement method based on energy flow model is effective.

Suggested Citation

  • Xiang Wang & Dong Xiang, 2022. "Energy Flow Modelling Method of Energy Efficiency Improvement for Power-Using Electromechanical Products," Energies, MDPI, vol. 15(14), pages 1-25, July.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:14:p:5240-:d:866540
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    References listed on IDEAS

    as
    1. Pai Zheng & Yuan Lin & Chun-Hsien Chen & Xun Xu, 2019. "Smart, connected open architecture product: an IT-driven co-creation paradigm with lifecycle personalization concerns," International Journal of Production Research, Taylor & Francis Journals, vol. 57(8), pages 2571-2584, April.
    2. Bin Li & Zheng Cui & Qun Cao & Wei Shao, 2021. "Increasing Efficiency of a Finned Heat Sink Using Orthogonal Analysis," Energies, MDPI, vol. 14(3), pages 1-15, February.
    3. Tianchi Jiang & Weijun Zhang & Shi Liu, 2021. "Performance Evaluation of a Full-Scale Fused Magnesia Furnace for MgO Production Based on Energy and Exergy Analysis," Energies, MDPI, vol. 15(1), pages 1-25, December.
    4. Ebrahim Morady & Madjid Soltani & Farshad Moradi Kashkooli & Masoud Ziabasharhagh & Armughan Al-Haq & Jatin Nathwani, 2022. "Improving Energy Efficiency by Utilizing Wetted Cellulose Pads in Passive Cooling Systems," Energies, MDPI, vol. 15(1), pages 1-17, January.
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