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A Stepped-Segmentation Method for the High-Speed Theoretical Elevator Car Air Pressure Curve Adjustment

Author

Listed:
  • Lemiao Qiu

    (The State Key Laboratory of Fluid Power and Mechatronic System, Zhejiang University, Hangzhou 310027, China)

  • Huifang Zhou

    (The State Key Laboratory of Fluid Power and Mechatronic System, Zhejiang University, Hangzhou 310027, China)

  • Zili Wang

    (The State Key Laboratory of Fluid Power and Mechatronic System, Zhejiang University, Hangzhou 310027, China)

  • Wenqian Lou

    (The State Key Laboratory of Fluid Power and Mechatronic System, Zhejiang University, Hangzhou 310027, China)

  • Shuyou Zhang

    (The State Key Laboratory of Fluid Power and Mechatronic System, Zhejiang University, Hangzhou 310027, China)

  • Lichun Zhang

    (Canny Elevator Co., Ltd., Suzhou 215000, China)

Abstract

As the demand for high-speed elevators grows, the requirements of elevator performance have also increased. Most of these are single variables that do not consider the comprehensive impact of multiple variables on performance, especially comfort. To overcome this problem, a stepped segmentation method for a theoretical high-speed elevator car air pressure curve (THEC-APC) adjustment is proposed that could actively help to select a suitable theoretical elevator car air pressure adjustment curve. By utilizing the proposed Particle Swarm Optimization (PSO) algorithm, the theoretical elevator car air pressure curve is optimized for multiple performances (including passenger comfort, energy consumption, and aerodynamic characteristics). In addition, the THEC-APC is smoothed by the Bezier curve for the variable destination floor. To verify the proposed method, the KLK2 (Canny Elevator Co., Ltd., 2015, Suzhou) high-speed elevator design process is applied. The numerical experiment results show that the proposed method can improve the accuracy and search efficiency of the optimal solution. Meanwhile, the proposed method helps to promote further air pressure compensation design for high-speed elevators.

Suggested Citation

  • Lemiao Qiu & Huifang Zhou & Zili Wang & Wenqian Lou & Shuyou Zhang & Lichun Zhang, 2020. "A Stepped-Segmentation Method for the High-Speed Theoretical Elevator Car Air Pressure Curve Adjustment," Energies, MDPI, vol. 13(10), pages 1-21, May.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:10:p:2585-:d:360349
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    References listed on IDEAS

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    1. Yongming Zhang & Zhe Yan & Feng Yuan & Jiawei Yao & Bao Ding, 2018. "A Novel Reconstruction Approach to Elevator Energy Conservation Based on a DC Micro-Grid in High-Rise Buildings," Energies, MDPI, vol. 12(1), pages 1-17, December.
    2. Jingshu Xiao & Jun Xie & Xingying Chen & Kun Yu & Zhenyu Chen & Kaining Luan, 2018. "Robust Optimization of Power Consumption for Public Buildings Considering Forecasting Uncertainty of Environmental Factors," Energies, MDPI, vol. 11(11), pages 1-13, November.
    3. Li Li, 2015. "Selected Applications of Convex Optimization," Springer Optimization and Its Applications, Springer, edition 127, number 978-3-662-46356-7, June.
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    Cited by:

    1. Surajet Khonjun & Rapeepan Pitakaso & Kanchana Sethanan & Natthapong Nanthasamroeng & Kiatisak Pranet & Chutchai Kaewta & Ponglert Sangkaphet, 2022. "Differential Evolution Algorithm for Optimizing the Energy Usage of Vertical Transportation in an Elevator (VTE), Taking into Consideration Rush Hour Management and COVID-19 Prevention," Sustainability, MDPI, vol. 14(5), pages 1-19, February.

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