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.

Highlights

  • As the size of high-rise buildings continues to increase, the demand for a quicker elevator speed is rising, and the use of high-speed and ultra-high-speed elevators is becoming more and more popular

  • Compared with the non-control-type curve, the fixed-adjustment-type curve can slightly reduce the rate of air pressure change in the middle high-speed stage

  • The stepped-segmentation air pressure adjustment method can eliminate the ear blocking feeling caused by pressure change in an elevator car, and can greatly reduce a passenger’s discomfort time

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Summary

Introduction

As the size of high-rise buildings continues to increase, the demand for a quicker elevator speed is rising, and the use of high-speed and ultra-high-speed elevators is becoming more and more popular. Reduce the rate of air pressure change in the middle high-speed stage In this situation, the inlet ventilation fan performs simple active compensations for the air pressure inside the car. Compared with the non-control-type curve, the fixed-adjustment-type curve can slightly reduce the rate of air pressure change in the middle high-speed stage. In this situation, the adjustment curve is divided into several segments.

THEC-APC Multi-Performance Optimization
THEC-APC Multi-Performance Objectives
Energy-saving index
THEC-APC Optimization Variables
THEC-APC Multi-Performance Optimization Process Based on CMOPSO
THEC-APC
Numerical Experiment Verification
Conclusions
Findings
Future Work
Full Text
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