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ZENODO
Report . 2024
License: CC BY
Data sources: ZENODO
ZENODO
Report . 2024
License: CC BY
Data sources: Datacite
ZENODO
Report . 2024
License: CC BY
Data sources: Datacite
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Energy Modelling for alternative scenarios in Paraguay using OSeMOSYS.

Authors: Soto Rodríguez, María Alejandra;

Energy Modelling for alternative scenarios in Paraguay using OSeMOSYS.

Abstract

Paraguay's energy sector, heavily reliant on hydropower (99.5% of installed capacity), exports surplus electricity to Brazil and Argentina. However, the transport sector's dependence on imported oil products (39% of national consumption) presents a challenge. This study aims to explore pathways for reducing emissions and oil imports by diversifying Paraguay's energy matrix and electrifying transport. Analysis of various scenarios highlights the need for strategic energy diversification and technology investment. While the BAU scenario maintains the status quo, the TPMA and ELEC scenarios prioritize non-conventional renewables and electrification. Although these alternatives require higher investments, they offer long-term benefits, especially in emission reductions. The ELEC scenario demonstrates significant potential in lowering CO2 emissions by 2030, emphasizing the importance of infrastructure development and foreign investment. Future research should focus on further analyzing the economic and environmental benefits of integrating wind and solar power, reducing hydropower reliance, and exploring additional technologies like hydrogen and biofuels to enhance Paraguay's energy sustainability.

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selected citations
These citations are derived from selected sources.
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!
0
Average
Average
Average