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Title: Emissions reduction scenarios in the Argentinean Energy Sector

Abstract

Here in this paper the LEAP, TIAM-ECN, and GCAM models were applied to evaluate the impact of a variety of climate change control policies (including carbon pricing and emission constraints relative to a base year) on primary energy consumption, final energy consumption, electricity sector development, and CO2 emission savings of the energy sector in Argentina over the 2010-2050 period. The LEAP model results indicate that if Argentina fully implements the most feasible mitigation measures currently under consideration by official bodies and key academic institutions on energy supply and demand, such as the ProBiomass program, a cumulative incremental economic cost of 22.8 billion US$(2005) to 2050 is expected, resulting in a 16% reduction in GHG emissions compared to a business-as-usual scenario. These measures also bring economic co-benefits, such as a reduction of energy imports improving the balance of trade. A Low CO2 price scenario in LEAP results in the replacement of coal by nuclear and wind energy in electricity expansion. A High CO2 price leverages additional investments in hydropower. An emission cap scenario (2050 emissions 20% lower than 2010 emissions) is feasible by including such measures as CCS and Bio CCS, but at a significant cost. By way of cross-model comparisonmore » with the TIAM-ECN and GCAM global integrated assessment models, significant variation in projected emissions reductions in the carbon price scenarios was observed, which illustrates the inherent uncertainties associated with such long-term projections. These models predict approximately 37% and 94% reductions under the High CO2 price scenario, respectively. By comparison, the LEAP model, using an approach based on the assessment of a limited set of mitigation options, predicts a 11.3% reduction under the ‘high’ carbon tax. The main reasons for this difference are differences in assumptions about technology cost and availability, CO2 storage capacity, and the ability to import bioenergy. In terms of technology pathways, the models agree that fossil fuels, in particular natural gas, will remain an important part of the electricity mix in the core baseline scenario. Finally, according to the models there is agreement that the introduction of a carbon price will lead to a decline in absolute and relative shares of aggregate fossil fuel generation. However, predictions vary as to the extent to which coal, nuclear and renewable energy play a role.« less

Authors:
 [1];  [1];  [1]; ORCiD logo [2];  [3]
  1. Fundacion Bariloche, Energy Program, Bariloche (Argentina)
  2. Energy research Centre of the Netherlands, Amsterdam (The Netherlands)
  3. Pacific Northwest National Lab. (PNNL), College Park MD (United States). Joint Global Change Research Inst.
Publication Date:
Research Org.:
Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)
Sponsoring Org.:
USDOE; European Union (EU); USEPA
OSTI Identifier:
1406809
Report Number(s):
PNNL-SA-109345
Journal ID: ISSN 0140-9883; 453040310
Grant/Contract Number:  
AC05-76RL01830
Resource Type:
Accepted Manuscript
Journal Name:
Energy Economics
Additional Journal Information:
Journal Volume: 56; Journal Issue: C; Journal ID: ISSN 0140-9883
Publisher:
Elsevier
Country of Publication:
United States
Language:
English
Subject:
29 ENERGY PLANNING, POLICY, AND ECONOMY; Argentina; energy sector; mitigation measures; CO₂ control policies

Citation Formats

Di Sbroiavacca, Nicolás, Nadal, Gustavo, Lallana, Francisco, Falzon, James, and Calvin, Katherine. Emissions reduction scenarios in the Argentinean Energy Sector. United States: N. p., 2016. Web. doi:10.1016/j.eneco.2015.03.021.
Di Sbroiavacca, Nicolás, Nadal, Gustavo, Lallana, Francisco, Falzon, James, & Calvin, Katherine. Emissions reduction scenarios in the Argentinean Energy Sector. United States. https://doi.org/10.1016/j.eneco.2015.03.021
Di Sbroiavacca, Nicolás, Nadal, Gustavo, Lallana, Francisco, Falzon, James, and Calvin, Katherine. Thu . "Emissions reduction scenarios in the Argentinean Energy Sector". United States. https://doi.org/10.1016/j.eneco.2015.03.021. https://www.osti.gov/servlets/purl/1406809.
@article{osti_1406809,
title = {Emissions reduction scenarios in the Argentinean Energy Sector},
author = {Di Sbroiavacca, Nicolás and Nadal, Gustavo and Lallana, Francisco and Falzon, James and Calvin, Katherine},
abstractNote = {Here in this paper the LEAP, TIAM-ECN, and GCAM models were applied to evaluate the impact of a variety of climate change control policies (including carbon pricing and emission constraints relative to a base year) on primary energy consumption, final energy consumption, electricity sector development, and CO2 emission savings of the energy sector in Argentina over the 2010-2050 period. The LEAP model results indicate that if Argentina fully implements the most feasible mitigation measures currently under consideration by official bodies and key academic institutions on energy supply and demand, such as the ProBiomass program, a cumulative incremental economic cost of 22.8 billion US$(2005) to 2050 is expected, resulting in a 16% reduction in GHG emissions compared to a business-as-usual scenario. These measures also bring economic co-benefits, such as a reduction of energy imports improving the balance of trade. A Low CO2 price scenario in LEAP results in the replacement of coal by nuclear and wind energy in electricity expansion. A High CO2 price leverages additional investments in hydropower. An emission cap scenario (2050 emissions 20% lower than 2010 emissions) is feasible by including such measures as CCS and Bio CCS, but at a significant cost. By way of cross-model comparison with the TIAM-ECN and GCAM global integrated assessment models, significant variation in projected emissions reductions in the carbon price scenarios was observed, which illustrates the inherent uncertainties associated with such long-term projections. These models predict approximately 37% and 94% reductions under the High CO2 price scenario, respectively. By comparison, the LEAP model, using an approach based on the assessment of a limited set of mitigation options, predicts a 11.3% reduction under the ‘high’ carbon tax. The main reasons for this difference are differences in assumptions about technology cost and availability, CO2 storage capacity, and the ability to import bioenergy. In terms of technology pathways, the models agree that fossil fuels, in particular natural gas, will remain an important part of the electricity mix in the core baseline scenario. Finally, according to the models there is agreement that the introduction of a carbon price will lead to a decline in absolute and relative shares of aggregate fossil fuel generation. However, predictions vary as to the extent to which coal, nuclear and renewable energy play a role.},
doi = {10.1016/j.eneco.2015.03.021},
journal = {Energy Economics},
number = C,
volume = 56,
place = {United States},
year = {Thu Apr 14 00:00:00 EDT 2016},
month = {Thu Apr 14 00:00:00 EDT 2016}
}

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