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Modelling cost-effective pathways for natural gas infrastructure: A southern Brazil case study

Modelling cost-effective pathways for natural gas infrastructure: A southern Brazil case study

García Kerdan, Iván ORCID: 0000-0002-0566-555X, Jalil-Vega, Francisca, Toole, James, Gulati, Sachin, Giarola, Sara and Hawkes, Adam (2019) Modelling cost-effective pathways for natural gas infrastructure: A southern Brazil case study. Applied Energy, 255:113799. ISSN 0306-2619 (doi:https://doi.org/10.1016/j.apenergy.2019.113799)

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Abstract

Currently, natural gas in Brazil represents around 12.9% of the primary energy supply, with consistent annual growth during the last decade. However, Brazil is entering a time of uncertainty regarding future gas supply, mainly as import from Bolivia is being renegotiated. As such, diversification of gas supply sources and routes need to be considered. Energy systems and infrastructure models are essential tools in assisting energy planning decisions and policy programmes at regional and international levels. In this study, a novel combination of a simulation-based integrated assessment model (MUSE-South_Brazil) and the recently-developed Gas INfrastructure Optimisation model (GINO) is presented. The Brazilian region represented by the five southern states served by the Bolivian gas pipeline (GASBOL) has been investigated. Modelled projections suggest that regional gas demand would increase from 38.8 mcm/day in 2015 to 104.3 mcm/day by 2050, mainly driven by the increasing demand in the industry and power sectors. Therefore existing regional gas infrastructure would be insufficient to cover future demands. Three different renegotiation scenarios between Brazil and Bolivia were modelled, obtaining distinct cost-optimal infrastructure expansion pathways. Depending on the scenario, the model expects gas demand to be covered by other supply options, such as an increase in pre-salt production, LNG imports and imports from a new Argentinian pipeline.

Item Type: Article
Uncontrolled Keywords: energy systems model, optimisation, gas infrastructure, infrastructure cost, natural gas, brazil
Faculty / Department / Research Group: Faculty of Liberal Arts & Sciences
Faculty of Liberal Arts & Sciences > Department of Built Environment
Last Modified: 22 Nov 2019 15:15
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
Selected for GREAT 2019: None
URI: http://gala.gre.ac.uk/id/eprint/25811

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