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Modelling elements of Smart Grids – Enhancing the OSeMOSYS (Open Source Energy Modelling System) code

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Title: Modelling elements of Smart Grids – Enhancing the OSeMOSYS (Open Source Energy Modelling System) code
Authors: Welsch, M.1 manuel.welsch@energy.kth.se, Howells, M.1, Bazilian, M.2, DeCarolis, J.F.3, Hermann, S.1, Rogner, H.H.4
Source: Energy. Oct2012, Vol. 46 Issue 1, p337-350. 14p.
Subjects: Smart power grids, Electric power distribution, Energy consumption, Mathematical models, Energy storage, Power resources, Stability (Mechanics), User-centered system design, Economic demand
Abstract: Abstract: ‘Smart Grids’ are expected to help facilitate a better integration of distributed storage and demand response options into power systems and markets. Quantifying the associated system benefits may provide valuable design and policy insights. Yet many existing energy system models are not able to depict various critical features associated with Smart Grids in a single comprehensive framework. These features may for example include grid stability issues in a system with several flexible demand types and storage options to help balance a high penetration of renewable energy. Flexible and accessible tools have the potential to fill this niche. This paper expands on the Open Source Energy Modelling System (OSeMOSYS). It describes how ‘blocks of functionality’ may be added to represent variability in electricity generation, a prioritisation of demand types, shifting demand, and storage options. The paper demonstrates the flexibility and ease-of-use of OSeMOSYS with regard to modifications of its code. It may therefore serve as a useful test-bed for new functionality in tools with wide-spread use and larger applications, such as MESSAGE, TIMES, MARKAL, or LEAP. As with the core code of OSeMOSYS, the functional blocks described in this paper are available in the public domain. [Copyright &y& Elsevier]
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.)
Database: Engineering Source
FullText Text:
  Availability: 0
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DbLabel: Engineering Source
An: 82198874
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PubType: Academic Journal
PubTypeId: academicJournal
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  Data: Modelling elements of Smart Grids – Enhancing the OSeMOSYS (Open Source Energy Modelling System) code
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  Data: <searchLink fieldCode="JN" term="%22Energy%22">Energy</searchLink>. Oct2012, Vol. 46 Issue 1, p337-350. 14p.
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  Data: <searchLink fieldCode="DE" term="%22Smart+power+grids%22">Smart power grids</searchLink><br /><searchLink fieldCode="DE" term="%22Electric+power+distribution%22">Electric power distribution</searchLink><br /><searchLink fieldCode="DE" term="%22Energy+consumption%22">Energy consumption</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematical+models%22">Mathematical models</searchLink><br /><searchLink fieldCode="DE" term="%22Energy+storage%22">Energy storage</searchLink><br /><searchLink fieldCode="DE" term="%22Power+resources%22">Power resources</searchLink><br /><searchLink fieldCode="DE" term="%22Stability+%28Mechanics%29%22">Stability (Mechanics)</searchLink><br /><searchLink fieldCode="DE" term="%22User-centered+system+design%22">User-centered system design</searchLink><br /><searchLink fieldCode="DE" term="%22Economic+demand%22">Economic demand</searchLink>
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  Data: Abstract: ‘Smart Grids’ are expected to help facilitate a better integration of distributed storage and demand response options into power systems and markets. Quantifying the associated system benefits may provide valuable design and policy insights. Yet many existing energy system models are not able to depict various critical features associated with Smart Grids in a single comprehensive framework. These features may for example include grid stability issues in a system with several flexible demand types and storage options to help balance a high penetration of renewable energy. Flexible and accessible tools have the potential to fill this niche. This paper expands on the Open Source Energy Modelling System (OSeMOSYS). It describes how ‘blocks of functionality’ may be added to represent variability in electricity generation, a prioritisation of demand types, shifting demand, and storage options. The paper demonstrates the flexibility and ease-of-use of OSeMOSYS with regard to modifications of its code. It may therefore serve as a useful test-bed for new functionality in tools with wide-spread use and larger applications, such as MESSAGE, TIMES, MARKAL, or LEAP. As with the core code of OSeMOSYS, the functional blocks described in this paper are available in the public domain. [Copyright &y& Elsevier]
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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.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=82198874
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        Value: 10.1016/j.energy.2012.08.017
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        Text: English
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        PageCount: 14
        StartPage: 337
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      – SubjectFull: Smart power grids
        Type: general
      – SubjectFull: Electric power distribution
        Type: general
      – SubjectFull: Energy consumption
        Type: general
      – SubjectFull: Mathematical models
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      – SubjectFull: Energy storage
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      – SubjectFull: Power resources
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      – SubjectFull: Stability (Mechanics)
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      – SubjectFull: User-centered system design
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      – SubjectFull: Economic demand
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      – TitleFull: Modelling elements of Smart Grids – Enhancing the OSeMOSYS (Open Source Energy Modelling System) code
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              Text: Oct2012
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