An offshore energy simulation through flow networks: CEL within the MSP Challenge 2050 simulation game platform

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Abstract

This paper presents the design of the offshore energy simulation CEL as a flow network, and its integration in the MSP Challenge 2050 simulation game platform. This platform is designed to aid learning about the key characteristics and complexity of marine or maritime spatial planning (MSP). The addition of CEL to this platform greatly AIDS MSP authorities in learning about and planning for offshore energy production, a highly topical and big development in human activities at sea. Rather than a standard flow network, CEL incorporates three additions to accommodate for the specificities of energy grids: an additional node for each team's expected energy, a split of each node representing an object into input and output parts to include the node's capacity, and bidirectional edges for all cables to enable more complex energy grid designs. Implemented with Dinic's algorithm it takes less than 30ms for the simulation to run for the average amount of grids included in an MSP Challenge 2050 game session. In this manner CEL enables MSP authorities and their energy stakeholders to use MSP Challenge 2050 for designing and testing more comprehensive offshore energy grids.

Original languageEnglish
Title of host publicationESM 2018 proceedings
EditorsD Claeys, V Limere
PublisherEurosis
Pages157-163
Number of pages7
ISBN (Print)9789492859051
Publication statusPublished - 2018
EventESM 2018: 32nd annual European Simulation and Modelling Conference - NH Gent Belfort, Ghent, Belgium
Duration: 24 Oct 201826 Oct 2018

Conference

ConferenceESM 2018: 32nd annual European Simulation and Modelling Conference
Country/TerritoryBelgium
CityGhent
Period24/10/1826/10/18

Keywords

  • offshore energy simulation
  • maritime spatial planning
  • flow network
  • maximun flow problem
  • Dinic's algorithm
  • Flow network
  • Offshore energy simulation
  • Maximum flow problem
  • Maritime spatial planning
  • Dinic's algorithm.

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