• DocumentCode
    3668616
  • Title

    Performance evaluation of energy efficient intelligent elevator controllers

  • Author

    Muhammad Z Hasan;Rainer Fink;Muthuvel Raj Suyambu;Manoj Kumar Baskaran;Daryl James;Jesus Gamboa

  • Author_Institution
    School of Engineering, Texas A&
  • fYear
    2015
  • fDate
    5/1/2015 12:00:00 AM
  • Firstpage
    44
  • Lastpage
    49
  • Abstract
    Recently, several measures are being taken to conserve energy without degradation in performance. To achieve notable energy savings in elevator systems, in this paper we develop and experimentally test an algorithm. Operation of an elevator can be classified into two modes: running mode and stand-by mode. We design an elevator system capable of energy-saving by manipulating its speed in running mode. Speed is varied based on the difference of load carried and the counter weight. A miniature elevator model is used to carry out the experiments and to collect energy data. The algorithm is tested on different traffic patterns: 1) pre-determined pattern, and 2) random pattern. Voltage and current samples are collected from the miniature elevator model, The final energy data of variable speed system are calculated and compared with energy data of constant speed system. This proposed method results in a 3.715% energy savings for pre-determined traffic pattern and 8.7612% energy savings for random traffic patterns.
  • Keywords
    "Elevators","Induction motors","Traffic control","Energy consumption","Traction motors","Software","Floors"
  • Publisher
    ieee
  • Conference_Titel
    Electro/Information Technology (EIT), 2015 IEEE International Conference on
  • Electronic_ISBN
    2154-0373
  • Type

    conf

  • DOI
    10.1109/EIT.2015.7293320
  • Filename
    7293320