A multi vector energy analysis for interconnected power and gas systems

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      This paper presents the first multi vector energy analysis for the interconnected energy systems of Great Britain (GB) and Ireland. Both systems share a common high penetration of wind power, but significantly different security of supply outlooks. Ireland is heavily dependent on gas imports from GB, giving significance to the interconnected aspect of the methodology in addition to the gas and power interactions analysed. A fully realistic unit commitment and economic dispatch model coupled to an energy flow model of the gas supply network is developed. Extreme weather events driving increased domestic gas demand and low wind power output were utilised to increase gas supply network stress. Decreased wind profiles had a larger impact on system security than high domestic gas demand. However, the GB energy system was resilient during high demand periods but gas network stress limited the ramping capability of localised generating units. Additionally, gas system entry node congestion in the Irish system was shown to deliver a 40% increase in short run costs for generators. Gas storage was shown to reduce the impact of high demand driven congestion delivering a reduction in total generation costs of 14% in the period studied and reducing electricity imports from GB, significantly contributing to security of supply.


      • A multi vector energy analysis for interconnected power and gas systems

        Rights statement: Copyright 2016 The Authors This is an open access article published under a Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium, provided the author and source are cited.

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      Original languageEnglish
      Number of pages14
      Pages (from-to)315-328
      JournalApplied Energy
      Journal publication date15 Apr 2017
      Early online date24 Aug 2016
      StatePublished - 15 Apr 2017

        Research areas

      • Gas Infrastructure, Gas Generation, Power System Operation, Power System Security, Integrated Energy Systems, Energy System Modelling

      ID: 82774534