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  • A customer-based-strategy to minimize the cost of energy consumption by optimal utilization of energy resources in an apartment building

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    Hossain427892-Published.pdf (1.302Mb)
    Author(s)
    Rafique, S
    Nizami, MSH
    Irshad, UB
    Hossain, MJ
    Town, GE
    Griffith University Author(s)
    Hossain, Jahangir
    Year published
    2019
    Metadata
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    Abstract
    Global energy consumption in heating and cooling of buildings and in the transport sector together accounts for approximately two-thirds of total energy consumption. Consequently, it is important to maximize the use of renewable generation energy in these sectors, and to optimize the use of that energy by managing diverse sources and loads. This is particularly challenging in high-density residential premises where the space for such infrastructure is limited, and storage can have significant impact on energy utilization and demand. In this paper, we describe a customer-based strategy (CBS) to optimize the usage of the ...
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    Global energy consumption in heating and cooling of buildings and in the transport sector together accounts for approximately two-thirds of total energy consumption. Consequently, it is important to maximize the use of renewable generation energy in these sectors, and to optimize the use of that energy by managing diverse sources and loads. This is particularly challenging in high-density residential premises where the space for such infrastructure is limited, and storage can have significant impact on energy utilization and demand. In this paper, we describe a customer-based strategy (CBS) to optimize the usage of the available energy resources in such scenarios. The effectiveness of the strategy was validated for an apartment block of 20 households with photovoltaic generation (PV) and stationary battery storage (BS) systems, each with a vehicle-to-grid (V2G) capable electric vehicle (EV). The modelling used real data for customer demand and included the cost of battery degradation and expected vehicle usage in optimizing resource scheduling. Substantial savings in energy costs were shown to be possible for each customer.
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    Conference Title
    IOP Conference Series: Earth and Environmental Science
    Volume
    322
    Issue
    1
    DOI
    https://doi.org/10.1088/1755-1315/322/1/012018
    Copyright Statement
    © The Author(s) 2019. Content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.
    Subject
    Electrical and Electronic Engineering
    Publication URI
    http://hdl.handle.net/10072/401129
    Collection
    • Conference outputs

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