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    Evaluation of GHG Emission Reduction Potentials of PV System Considering Power Mix Shifts

    Source: Journal of Energy Engineering:;2008:;Volume ( 134 ):;issue: 002
    Author:
    Yasuhiro Fukushima
    ,
    Yu-Ming Kuo
    DOI: 10.1061/(ASCE)0733-9402(2008)134:2(58)
    Publisher: American Society of Civil Engineers
    Abstract: Introduction of photovoltaic (PV) systems, also known as solar cell systems, reduces greenhouse gasses (GHGs) emission, by substituting a part of the GHG intensive generation with GHG-free generation during effective daylight hours. Because power is generated from different kinds of power plants operated with momentarily changing proportion, consideration of resulting changes in the power mix is needed to correctly estimate the reduction potential of a large scale introduction scenario. In this paper, a linear mathematical programming model is constructed to simulate a power mix for a given power demand under a cost minimization objective. Using the model, GHG emission reduction potentials at different scales of PV introduction were calculated assuming an ideal solar irradiation. A comparison of daily power generation before and after the introduction indicates that reduction potentials calculated with averaged GHG emission factor could result in errors, because PV systems neither replace averaged nor the single kind of power generations, but affects the entire power mix and reduces fossil fuel consumption. It is shown that the GHG emission reduction per kWh of power generated by PV differs at different capacities of installation. Namely, for the initial introduction stage, reduction would be close to fossil fuel fired power plant average for an introduction range less than
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      Evaluation of GHG Emission Reduction Potentials of PV System Considering Power Mix Shifts

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/19211
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    • Journal of Energy Engineering

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    contributor authorYasuhiro Fukushima
    contributor authorYu-Ming Kuo
    date accessioned2017-05-08T20:32:51Z
    date available2017-05-08T20:32:51Z
    date copyrightJune 2008
    date issued2008
    identifier other%28asce%290733-9402%282008%29134%3A2%2858%29.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/19211
    description abstractIntroduction of photovoltaic (PV) systems, also known as solar cell systems, reduces greenhouse gasses (GHGs) emission, by substituting a part of the GHG intensive generation with GHG-free generation during effective daylight hours. Because power is generated from different kinds of power plants operated with momentarily changing proportion, consideration of resulting changes in the power mix is needed to correctly estimate the reduction potential of a large scale introduction scenario. In this paper, a linear mathematical programming model is constructed to simulate a power mix for a given power demand under a cost minimization objective. Using the model, GHG emission reduction potentials at different scales of PV introduction were calculated assuming an ideal solar irradiation. A comparison of daily power generation before and after the introduction indicates that reduction potentials calculated with averaged GHG emission factor could result in errors, because PV systems neither replace averaged nor the single kind of power generations, but affects the entire power mix and reduces fossil fuel consumption. It is shown that the GHG emission reduction per kWh of power generated by PV differs at different capacities of installation. Namely, for the initial introduction stage, reduction would be close to fossil fuel fired power plant average for an introduction range less than
    publisherAmerican Society of Civil Engineers
    titleEvaluation of GHG Emission Reduction Potentials of PV System Considering Power Mix Shifts
    typeJournal Paper
    journal volume134
    journal issue2
    journal titleJournal of Energy Engineering
    identifier doi10.1061/(ASCE)0733-9402(2008)134:2(58)
    treeJournal of Energy Engineering:;2008:;Volume ( 134 ):;issue: 002
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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