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A modelling framework to quantify the power system benefits from ocean energy deployments
University of Edinburgh, UK.
University of Edinburgh, UK.
RISE Research Institutes of Sweden, Safety and Transport, Measurement Technology.ORCID iD: 0000-0003-1661-3410
CorPower Ocean, Sweden.
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2023 (English)In: Applied Energy, ISSN 0306-2619, E-ISSN 1872-9118, Vol. 347, article id 121413Article in journal (Refereed) Published
Abstract [en]

It is understood that electricity generation from the waves and tides can be temporally and spatially offset from other, more established variable renewables, such as wind and solar. However, it is less well understood how this offsetting can impact on power system operation. A novel modelling framework has been developed to quantify the potential benefit of including higher proportions of ocean energy within large-scale electricity systems. Economic dispatch modelling is utilised to model hourly supply–demand matching for a range of sensitivity runs, adjusting the proportion of ocean energy within the generation mix. The framework is applied to a 2030 case study of the power system of Great Britain, testing installed wave or tidal stream capacities ranging from 100 MW to 10 GW. For all sensitivity runs it has been found that ocean energy increases renewable dispatch, reduces dispatch costs, reduces generation required from fossil fuels, reduces system carbon emissions, reduces price volatility, and captures higher market prices. For example, including 1 GW of wave displaces up to £137M and 128 ktCO2 over the year of dispatch modelled. Similarly, 1 GW of tidal stream displaces up to £95M and 87 ktCO2. When including 10 GW of ocean energy, dispatch costs reduce by up to 7% and carbon emissions reduce by up to 29%. This analysis has included the development and publication of open source models of the Great British power system. © 2023 The Authors

Place, publisher, year, edition, pages
Elsevier Ltd , 2023. Vol. 347, article id 121413
Keywords [en]
Economic dispatch, Power system modelling, Renewable energy, Tidal stream energy, Wave energy, United Kingdom, Carbon, Cost reduction, Electric load dispatching, Oceanography, Open systems, Tidal power, Wave energy conversion, Carbon emissions, Modelling framework, Ocean energy, Power, Power system modeling, Renewable energies, Tidal streams, alternative energy, carbon emission, economic analysis, electricity generation, fossil fuel, solar power, wave power, wind power, Fossil fuels
National Category
Energy Engineering
Identifiers
URN: urn:nbn:se:ri:diva-65984DOI: 10.1016/j.apenergy.2023.121413Scopus ID: 2-s2.0-85163162634OAI: oai:DiVA.org:ri-65984DiVA, id: diva2:1790568
Note

The authors gratefully acknowledge financial support through the EVOLVE project. This collaborative project has received support under the framework of the OCEANERA-NET COFUND project, which has received funding from the European Union under the Horizon 2020Programme (European Commission Grant Agreement No. 731200), with funding provided by the following national/ regional funding organisations: Scottish Enterprise, Swedish Energy Agency, and Fundação para a Ciência e a Tecnologia. 

Available from: 2023-08-23 Created: 2023-08-23 Last updated: 2023-08-23Bibliographically approved

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Vardanyan, Yelena

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