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    Computer Aided Optimal Design of Compressed Air Energy Storage Systems

    Source: Journal of Mechanical Design:;1980:;volume( 102 ):;issue: 003::page 437
    Author:
    F. W. Ahrens
    ,
    A. Sharma
    ,
    K. M. Ragsdell
    DOI: 10.1115/1.3254766
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: An automated procedure for the design of Compressed Air Energy Storage (CAES) systems is presented. The procedure relies upon modern nonlinear programming algorithms, decomposition theory, and numerical models of the various system components. Two modern optimization methods are employed; BIAS, a Method of Multipliers code and OPT, a Generalized Reduced Gradient code. The procedure is demonstrated by the design of a CAES facility employing the Media, Illinois Galesville aquifer as the reservoir. The methods employed produced significant reduction in capital and operating cost, and in number of aquifer wells required.
    keyword(s): Computer-aided engineering , Design AND Energy storage ,
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      Computer Aided Optimal Design of Compressed Air Energy Storage Systems

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    http://yetl.yabesh.ir/yetl1/handle/yetl/93654
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    • Journal of Mechanical Design

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    contributor authorF. W. Ahrens
    contributor authorA. Sharma
    contributor authorK. M. Ragsdell
    date accessioned2017-05-08T23:09:27Z
    date available2017-05-08T23:09:27Z
    date copyrightJuly, 1980
    date issued1980
    identifier issn1050-0472
    identifier otherJMDEDB-27979#437_1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/93654
    description abstractAn automated procedure for the design of Compressed Air Energy Storage (CAES) systems is presented. The procedure relies upon modern nonlinear programming algorithms, decomposition theory, and numerical models of the various system components. Two modern optimization methods are employed; BIAS, a Method of Multipliers code and OPT, a Generalized Reduced Gradient code. The procedure is demonstrated by the design of a CAES facility employing the Media, Illinois Galesville aquifer as the reservoir. The methods employed produced significant reduction in capital and operating cost, and in number of aquifer wells required.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleComputer Aided Optimal Design of Compressed Air Energy Storage Systems
    typeJournal Paper
    journal volume102
    journal issue3
    journal titleJournal of Mechanical Design
    identifier doi10.1115/1.3254766
    journal fristpage437
    journal lastpage445
    identifier eissn1528-9001
    keywordsComputer-aided engineering
    keywordsDesign AND Energy storage
    treeJournal of Mechanical Design:;1980:;volume( 102 ):;issue: 003
    contenttypeFulltext
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