Application of fuzzy logic in lift energy efficiency classification

Abstract

The study outlines a new approach to lift energy efficiency classification based on a heuristic estimator using the energy performance parameters of a lift installation registered over its weekly duty cycle. Due to the fact that evaluations of the energy performance by commonly applied methods involve a number of variables and complex nonlinear dependencies, the expert model is developed using the fuzzy logic approach. The underlying objectives are defined alongside the energy performance and operating parameters of a lift installation during the ride and in the standby mode. The estimator is based on the operational equipment effectiveness for each mode of lift operation and membership functions (model input and output) are defined. The method was verified by measurements taken on a real object. This study summarises the measurement results and lift energy classification data obtained by the new method, the final results are presented in figures illustrating the energy efficiency variations in the running mode and as the average energy efficiency ratings on each day and over the whole week.