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    Investigation on Optimal Electric Energy Storage Capacity to Maximize Self-Consumption of Photovoltaic System

    Source: Journal of Energy Resources Technology:;2021:;volume( 144 ):;issue: 007::page 70903-1
    Author:
    Lee, Ruda
    ,
    Lee, Hyomun
    ,
    Kim, Dongsu
    ,
    Yoon, Jongho
    DOI: 10.1115/1.4052732
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Battery systems are critical factors in the effective use of renewable energy systems because the self-production of electricity by renewables for self-consumption has become profitable for building applications. This study investigates the appropriate capacity of the battery energy storage system (BESS) installed in all-electric zero-energy powerhouses (AEZEPHs). The AEZEPH used for this study is a highly energy-efficient house. Its criteria indicate that all the electrical energy within the home is covered based on the generated electricity from onsite renewable energy systems, including that the annual net site energy use is almost equal to zero. The experiment for measured data of electricity consumed and generated in the buildings is conducted for a year (i.e., January through December 2014). Based on the measured data, patterns of the electricity consumed by the AEZEPH and generated by an onsite renewable energy system (i.e., photovoltaic (PV) system) and BESS's appropriate capacity are then analyzed and evaluated using the electric energy storage (EES) analysis tool, named Poly-sun. This study indicates that self-consumption can be increased up to 66% when the ESS system is installed and used during operating hours of the PV system. The amount of received electricity during the week tends to be reduced by about two times.
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      Investigation on Optimal Electric Energy Storage Capacity to Maximize Self-Consumption of Photovoltaic System

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4285390
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    contributor authorLee, Ruda
    contributor authorLee, Hyomun
    contributor authorKim, Dongsu
    contributor authorYoon, Jongho
    date accessioned2022-05-08T09:38:23Z
    date available2022-05-08T09:38:23Z
    date copyright10/28/2021 12:00:00 AM
    date issued2021
    identifier issn0195-0738
    identifier otherjert_144_7_070903.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4285390
    description abstractBattery systems are critical factors in the effective use of renewable energy systems because the self-production of electricity by renewables for self-consumption has become profitable for building applications. This study investigates the appropriate capacity of the battery energy storage system (BESS) installed in all-electric zero-energy powerhouses (AEZEPHs). The AEZEPH used for this study is a highly energy-efficient house. Its criteria indicate that all the electrical energy within the home is covered based on the generated electricity from onsite renewable energy systems, including that the annual net site energy use is almost equal to zero. The experiment for measured data of electricity consumed and generated in the buildings is conducted for a year (i.e., January through December 2014). Based on the measured data, patterns of the electricity consumed by the AEZEPH and generated by an onsite renewable energy system (i.e., photovoltaic (PV) system) and BESS's appropriate capacity are then analyzed and evaluated using the electric energy storage (EES) analysis tool, named Poly-sun. This study indicates that self-consumption can be increased up to 66% when the ESS system is installed and used during operating hours of the PV system. The amount of received electricity during the week tends to be reduced by about two times.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleInvestigation on Optimal Electric Energy Storage Capacity to Maximize Self-Consumption of Photovoltaic System
    typeJournal Paper
    journal volume144
    journal issue7
    journal titleJournal of Energy Resources Technology
    identifier doi10.1115/1.4052732
    journal fristpage70903-1
    journal lastpage70903-10
    page10
    treeJournal of Energy Resources Technology:;2021:;volume( 144 ):;issue: 007
    contenttypeFulltext
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