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CCS Infrastructure Development Scenarios for the Integrated Iberian Peninsula and Morocco Energy System

Authors: Kanudia, Amit; Berghout, Niels; Boavida, Dulce; Van den Broek, Machteld; Cabal, Helena; Carneiro, Júlio; Fortes, Patricia; +9 Authors

CCS Infrastructure Development Scenarios for the Integrated Iberian Peninsula and Morocco Energy System

Abstract

This paper briefly illustrates a method to represent national energy systems and the geographical details of CCS infrastructures in the same technical-economic model. In the MARKAL-TIMES modeling framework a model of Morocco, Portugal and Spain with both spatial and temporal details has been implemented. As a function of assumptions on the development to 2050 of mitigation levels, economic growth and CO2 capture-transport storage characteristics, dozens of scenarios were prepared with the TIMES-COMET model. A few results on optimal levels of CCS contribution to mitigation compared to other energy system options are presented. The results also indicate the least cost lay out of the main capture, transport and storage infrastructures. It is concluded that the availability of CCS after 2020 will reduce the cost of mitigation in the Iberian Peninsula as soon as the EU GHG emissions reduction targets become more stringent than decided so far.

Countries
Portugal, Netherlands
Keywords

capture transport storage infrastructures, MARKAL- TIMES, Energy scenarios, SDG 8 - Decent Work and Economic Growth, CO2 emissions, MARKAL-TIMES, bottom-up technological models, climate change mitigation, Climate change mitigation, Morocco, GIS transport models, Energy(all), SDG 13 - Climate Action, partial economic equilibrium, Iberian Peninsula

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
OpenAIRE UsageCountsDownloads provided by UsageCounts
12
Top 10%
Average
Top 10%
13
14
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gold