Intelligent Scheduling of the Heat Pump

• Author / Creator

  Lashkari, Behzad

• Space heating is responsible for a significant portion of energy consumption in the residential sector. As such, it has a great potential for energy savings. The heat pump is a heating device that offers important energy conservation properties. It
  allows modification of residential energy demand profile and subsequent reduction of electricity consumption and costs. Living comfort of the residents is the other side of the coin that also must be considered in the heat pump scheduling optimization process. This thesis presents an intelligent approach to heat pump scheduling problem based on metaheuristic optimization algorithms. In particular, we consider mutation-based binary particle swarm optimization (M-BPSO) and genetic algorithm (GA). Since standard BPSO suffers trapping in local minima, it has been augmented
  with a mutation operator. However, mutation alone can not effectively address all the shortcomings of standard BPSO. Therefore, other enhancements of the algorithm have been implemented to improve its overall performance. Performance of all considered algorithms is evaluated using a series of simulation experiments and thoroughly compared. The simulation results confirm that the proposed approach can optimize the heat pump schedule without sacrificing the thermal comfort of residents, and that the improved algorithm can obtain the optimal schedule with high efficiency.

• Subjects / Keywords

  • heat pump scheduling
  • binary particle swarm optimization
  • genetic algorithm
  • demand side management

• Graduation date

  Fall 2020

• Type of Item

  Thesis

• Degree

  Master of Science

• DOI

  https://doi.org/10.7939/r3-sxev-ax08

• License

  Permission is hereby granted to the University of Alberta Libraries to reproduce single copies of this thesis and to lend or sell such copies for private, scholarly or scientific research purposes only. Where the thesis is converted to, or otherwise made available in digital form, the University of Alberta will advise potential users of the thesis of these terms. The author reserves all other publication and other rights in association with the copyright in the thesis and, except as herein before provided, neither the thesis nor any substantial portion thereof may be printed or otherwise reproduced in any material form whatsoever without the author's prior written permission.