Open AccessA regenerative braking energy recuperation from elevator operation in building by active rectifier
Author(s) -
An Thi Hoai Thu Anh,
Luong Huynh Duc
Publication year - 2021
Publication title -
international journal of power electronics and drive systems/international journal of electrical and computer engineering
Language(s) - English
Resource type - Journals
eISSN - 2722-2578
pISSN - 2722-256X
DOI - 10.11591/ijpeds.v12.i2.pp811-821
Subject(s) - regenerative brake , elevator , automotive engineering , energy consumption , computer science , energy conservation , dynamic braking , energy (signal processing) , rectifier (neural networks) , engineering , electrical engineering , retarder , brake , structural engineering , statistics , stochastic neural network , mathematics , machine learning , recurrent neural network , artificial neural network
Elevators- means of vertical transportation to carry people and goods are an indispensable part in offices, high-rise buildings, hospitals, commercial areas, hotels, car-parks when blooming urbanization develops worldwide. However, the level of energy consumption in elevator operation is significant, so energy saving solutions have been outlined and applied in practice. With frequent braking phases, regenerative braking energy is wasted on braking resistors. Therefore, this paper proposes regenerative braking energy recuperation method for elevator operation in building by active rectifiers enabling the braking energy to be fed back into utility grid. Simulation results conducted by MATLAB with data collected from OCT5B building-RESCO new urban area, Ha noi, Vietnam have verified saving energy of using active rectifiers replacing diode rectifiers up to 33%.