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  • http://hdl.handle.net/10402/era.24910
  • Energy Management for Automatic Monitoring Stations in Arctic Regions
  • Pimentel, Demian
  • English
  • Energy management
    Arctic
    Monitoring station
    Computational intelligence
  • Jan 4, 2012 11:15 AM
  • Thesis
  • English
  • Adobe PDF
  • 4672869 bytes
  • Automatic weather monitoring stations deployed in arctic regions are usually installed in hard to reach locations. Most of the time they run unsupervised and they face severe environmental conditions: very low temperatures, ice riming, etc. It is usual practice to use a local energy source to power the equipment. There are three main ways to achieve this: (1) a generator whose fuel has to be transported to the location at regular intervals (2) a battery and (3) an energy harvesting generator that exploits a local energy source. Hybrid systems are very common. Polar nights and long winters are typical of arctic regions. Solar radiation reaching the ground during this season is very low or non-existent, depending on the geographical location. Therefore, solar power generation is not very effective. One straightforward, but expensive and inefficient solution is the use of a large bank of batteries that is recharged during sunny months and discharged during the winter. The main purpose of the monitoring stations is to collect meteorological data at regular intervals; interruptions due to a lack of electrical energy can be prevented with the use of an energy management subsystem. Keeping a balance between incoming and outgoing energy flows, while assuring the continuous operation of the station, is the delicate task of energy management strategies. This doctoral thesis explores alternate power generation solutions and intelligent energy management techniques for equipment deployed in the arctic. For instance, harvesting energy from the wind to complement solar generation is studied. Nevertheless, harvested energy is a scarce resource and needs to be used efficiently. Genetic algorithms, fuzzy logic, and common sense are used to efficiently manage energy flows within a simulated arctic weather station.
  • D. Pimentel, P. Musilek, A. Knight, and J. Heckenbergerova, "Characterization of a Wind Flutter Generator," in Ninth International Conference on Environment and Electrical Engineering, Prague, 2010.
    D. Pimentel, P. Musilek, and A. Knight, "Energy Harvesting Simulation for Automatic Arctic Monitoring Stations," in IEEE Electrical Power and Energy Conference, Halifax, 2010.
  • Doctoral
  • Doctor of Philosophy
  • Department of Electrical and Computer Engineering
  • Energy Systems
  • Spring 2012
  • Musilek, Petr (Electrical and Computer Engineering)
    Knight, Andrew (Electrical and Computer Engineering)
  • Reformat, Marek (Electrican and Computer Engineering)
    Sharp, Martin (Earth and Atmospheric Sciences)
    Pizzi, Nick (Computer Science)