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Modeling Future Life-Cycle Greenhouse Gas Emissions and Environmental Impacts of Electricity Supplies in Brazil

doi: 10.3390/en6073182
Brazil’s status as a rapidly developing country is visible in its need for more energy, including electricity. While the current electricity generation mix is primarily hydropower based, high-quality dam sites are diminishing and diversification to other sources is likely. We combined life-cycle data for electricity production with scenarios developed using the IAEA’s MESSAGE model to examine environmental impacts of future electricity generation under a baseline case and four side cases, using a Monte-Carlo approach to incorporate uncertainty in power plant performance and LCA impacts. Our results show that, under the cost-optimal base case scenario, Brazil’s GHGs from electricity (excluding hydroelectric reservoir emissions) rise 370% by 2040 relative to 2010, with the carbon intensity per MWh rising 100%. This rise would make Brazil’s carbon emissions targets difficult to meet without demand-side programs. Our results show a future electricity mix dominated by environmental tradeoffs in the use of large-scale renewables, questioning the use tropical hydropower and highlighting the need for additional work to assess and include ecosystem and social impacts, where information is currently sparse.
- Centro Universitário da Cidade Brazil
- Civil and Environmental Engineering Duke University United States
- University of Pittsburgh United States
- Federal University of Rio de Janeiro Brazil
- Civil and Environmental Engineering Duke University United States
Technology, life-cycle assessment (LCA), life-cycle assessment (LCA); scenarios; Brazil; energy; climate change; Monte-Carlo analysis (MCA), Monte-Carlo analysis (MCA), T, scenarios, climate change, Brazil, energy, jel: jel:Q40, jel: jel:Q, jel: jel:Q43, jel: jel:Q42, jel: jel:Q41, jel: jel:Q48, jel: jel:Q47, jel: jel:Q49, jel: jel:Q0, jel: jel:Q4
Technology, life-cycle assessment (LCA), life-cycle assessment (LCA); scenarios; Brazil; energy; climate change; Monte-Carlo analysis (MCA), Monte-Carlo analysis (MCA), T, scenarios, climate change, Brazil, energy, jel: jel:Q40, jel: jel:Q, jel: jel:Q43, jel: jel:Q42, jel: jel:Q41, jel: jel:Q48, jel: jel:Q47, jel: jel:Q49, jel: jel:Q0, jel: jel:Q4
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).24 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.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
