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Fuzzy supervisory control strategies to minimize energy use of airport terminal buildings

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conference contribution
posted on 2013-01-18, 13:43 authored by Abdulhameed D. Mambo, Mahroo EftekhariMahroo Eftekhari, Thomas SteffenThomas Steffen
Airport terminal buildings are among energy most consuming buildings and this presents huge opportunities for implementing energy saving strategies. Achieving satisfactory control of these buildings using classical controllers alone is difficult because they contain components that are complex, nonlinear but dynamically related. Therefore, this paper presents and appraises fuzzy control strategies for reducing energy consumptions while simultaneously providing comfort for passengers in an airport terminal building. The inputs into this fuzzy supervisory controller are the time schedule for arrival and departure of passenger planes as well as the expected number of passengers during each flight, zone illuminance and external temperature. The controller outputs optimised temperature, airflow rates and lighting setpoints for the conventional controllers. Simulation studies in MATLAB/SIMULINK confirmed the capacity of this control strategy to provide comfort setpoints for the passengers at reduced energy.

History

School

  • Architecture, Building and Civil Engineering

Citation

MAMBO, A.D., EFTEKHARI, M and STEFFEN, T., 2012. Fuzzy supervisory control strategies to minimize energy use of airport terminal buildings. IN: Proceedings of the 18th International Conference on Automation and Computing (ICAC), Loughborough University, UK, pp. 43 - 48.

Publisher

© IEEE

Version

  • VoR (Version of Record)

Publication date

2012

Notes

This paper was presented at the 18th International Conference on Automation and Computing (ICAC), 7-8 September 2012, Loughborough University, UK. It was published by the IEEE at: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6330540. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

ISBN

9781467317221

Language

  • en