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  • Stochastic analysis of residential micro combined heat and power system

    Author(s)
    Karami, H
    Sanjari, MJ
    Gooi, HB
    Gharehpetian, GB
    Guerrero, JM
    Griffith University Author(s)
    Sanjari, Mohammad
    Year published
    2017
    Metadata
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    Abstract
    In this paper the combined heat and power functionality of a fuel-cell in a residential hybrid energy system, including a battery, is studied. The demand uncertainties are modeled by investigating the stochastic load behavior by applying Monte Carlo simulation. The colonial competitive algorithm is adopted to the hybrid energy system scheduling problem and different energy resources are optimally scheduled to have optimal operating cost of hybrid energy system. In order to show the effectiveness of the colonial competitive algorithm, the results are compared with the results of the harmony search algorithm. The optimized ...
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    In this paper the combined heat and power functionality of a fuel-cell in a residential hybrid energy system, including a battery, is studied. The demand uncertainties are modeled by investigating the stochastic load behavior by applying Monte Carlo simulation. The colonial competitive algorithm is adopted to the hybrid energy system scheduling problem and different energy resources are optimally scheduled to have optimal operating cost of hybrid energy system. In order to show the effectiveness of the colonial competitive algorithm, the results are compared with the results of the harmony search algorithm. The optimized scheduling of different energy resources is listed in an efficient look-up table for all time intervals. The effects of time of use and the battery efficiency and its size are investigated on the operating cost of the hybrid energy system. The results of this paper are expected to be used effectively in a real hybrid energy system.
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    Journal Title
    Energy Conversion and Management
    Volume
    138
    DOI
    https://doi.org/10.1016/j.enconman.2017.01.073
    Subject
    Mechanical engineering
    Science & Technology
    Physical Sciences
    Technology
    Thermodynamics
    Energy & Fuels
    Publication URI
    http://hdl.handle.net/10072/408720
    Collection
    • Journal articles

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