Analytic modeling of parabolic trough solar thermal power plants.

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Title: Analytic modeling of parabolic trough solar thermal power plants.
Authors: Salazar, Germán A.1,2, Fraidenraich, Naum1, De Oliveira, Carlos Antonio Alves3, De Castro Vilela, Olga1, Hongn, Marcos2, Gordon, Jeffrey M.4 jeff@bgu.ac.il
Source: Energy. Nov2017, Vol. 138, p1148-1156. 9p.
Subjects: Solar thermal energy, Solar power plants, Analytic functions, Parabolic troughs, Electric transients, Mathematical models
Abstract: We derive, evaluate and validate comprehensive analytic modeling of the energy flows in parabolic trough solar thermal power plants. The analytic formulae are straightforward to implement and evaluate, relating to the heat transfer within and from the solar concentrators (including transients, mainly overnight heat losses), and the impact of solar field operation on turbine power and efficiency. Prior numerical simulations used to design solar thermal power systems have either been proprietary or devoid of a fully-reported source code - hence inaccessible or problematic for widespread use. Also, the dependence of these simulations on extensive numerical procedures does not provide a transparent physical picture that grants a clear understanding of how component and system performance vary with the principal operating and input variables - a drawback overcome by the analytic approach presented here. Published experimental measurements of sufficient extent to permit meaningful comparisons between theory and experiment for such solar thermal power plants are exceptionally limited. This narrow data base is used for model validation on both a monthly and an hourly basis. The analytic model is then applied to evaluating a solar power plant now being planned for northeast Brazil, also highlighting the energy-delivery advantages of low-latitude locations. [ABSTRACT FROM AUTHOR]
Copyright of Energy is the property of Pergamon Press - An Imprint of Elsevier Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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DbLabel: Engineering Source
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  Data: Analytic modeling of parabolic trough solar thermal power plants.
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  Data: <searchLink fieldCode="JN" term="%22Energy%22">Energy</searchLink>. Nov2017, Vol. 138, p1148-1156. 9p.
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  Data: <searchLink fieldCode="DE" term="%22Solar+thermal+energy%22">Solar thermal energy</searchLink><br /><searchLink fieldCode="DE" term="%22Solar+power+plants%22">Solar power plants</searchLink><br /><searchLink fieldCode="DE" term="%22Analytic+functions%22">Analytic functions</searchLink><br /><searchLink fieldCode="DE" term="%22Parabolic+troughs%22">Parabolic troughs</searchLink><br /><searchLink fieldCode="DE" term="%22Electric+transients%22">Electric transients</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematical+models%22">Mathematical models</searchLink>
– Name: Abstract
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  Data: We derive, evaluate and validate comprehensive analytic modeling of the energy flows in parabolic trough solar thermal power plants. The analytic formulae are straightforward to implement and evaluate, relating to the heat transfer within and from the solar concentrators (including transients, mainly overnight heat losses), and the impact of solar field operation on turbine power and efficiency. Prior numerical simulations used to design solar thermal power systems have either been proprietary or devoid of a fully-reported source code - hence inaccessible or problematic for widespread use. Also, the dependence of these simulations on extensive numerical procedures does not provide a transparent physical picture that grants a clear understanding of how component and system performance vary with the principal operating and input variables - a drawback overcome by the analytic approach presented here. Published experimental measurements of sufficient extent to permit meaningful comparisons between theory and experiment for such solar thermal power plants are exceptionally limited. This narrow data base is used for model validation on both a monthly and an hourly basis. The analytic model is then applied to evaluating a solar power plant now being planned for northeast Brazil, also highlighting the energy-delivery advantages of low-latitude locations. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
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  Data: <i>Copyright of Energy is the property of Pergamon Press - An Imprint of Elsevier Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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    Identifiers:
      – Type: doi
        Value: 10.1016/j.energy.2017.07.110
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      – Code: eng
        Text: English
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      Pagination:
        PageCount: 9
        StartPage: 1148
    Subjects:
      – SubjectFull: Solar thermal energy
        Type: general
      – SubjectFull: Solar power plants
        Type: general
      – SubjectFull: Analytic functions
        Type: general
      – SubjectFull: Parabolic troughs
        Type: general
      – SubjectFull: Electric transients
        Type: general
      – SubjectFull: Mathematical models
        Type: general
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      – TitleFull: Analytic modeling of parabolic trough solar thermal power plants.
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            NameFull: Salazar, Germán A.
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            NameFull: Fraidenraich, Naum
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            NameFull: De Oliveira, Carlos Antonio Alves
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            NameFull: De Castro Vilela, Olga
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            NameFull: Hongn, Marcos
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              M: 11
              Text: Nov2017
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              Y: 2017
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