Reducing greenhouse gas emissions of Amazon hydropower with strategic dam planning

Hundreds of dams have been proposed throughout the Amazon basin, one of the world’s largest untapped hydropower frontiers. While hydropower is a potentially clean source of renewable energy, some projects produce high greenhouse gas (GHG) emissions per unit electricity generated (carbon intensity)....

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Published inNature communications Vol. 10; no. 1; pp. 4281 - 9
Main Authors Almeida, Rafael M., Shi, Qinru, Gomes-Selman, Jonathan M., Wu, Xiaojian, Xue, Yexiang, Angarita, Hector, Barros, Nathan, Forsberg, Bruce R., García-Villacorta, Roosevelt, Hamilton, Stephen K., Melack, John M., Montoya, Mariana, Perez, Guillaume, Sethi, Suresh A., Gomes, Carla P., Flecker, Alexander S.
Format Journal Article
LanguageEnglish
Published London Nature Publishing Group UK 19.09.2019
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Abstract Hundreds of dams have been proposed throughout the Amazon basin, one of the world’s largest untapped hydropower frontiers. While hydropower is a potentially clean source of renewable energy, some projects produce high greenhouse gas (GHG) emissions per unit electricity generated (carbon intensity). Here we show how carbon intensities of proposed Amazon upland dams (median = 39 kg CO 2 eq MWh −1 , 100-year horizon) are often comparable with solar and wind energy, whereas some lowland dams (median = 133 kg CO 2 eq MWh −1 ) may exceed carbon intensities of fossil-fuel power plants. Based on 158 existing and 351 proposed dams, we present a multi-objective optimization framework showing that low-carbon expansion of Amazon hydropower relies on strategic planning, which is generally linked to placing dams in higher elevations and smaller streams. Ultimately, basin-scale dam planning that considers GHG emissions along with social and ecological externalities will be decisive for sustainable energy development where new hydropower is contemplated. Some dams produce large amounts of GHGs and it is important to see whether future dams will satisfy sustainable energy goals. Here the authors estimate the range of GHG emission intensities expected for 351 proposed and 158 existing Amazon dams and find that existing Amazon hydropower reservoirs collectively emit 14 Tg CO 2 eq per year, and that if all proposed Amazon dams are built, annual emissions would increase 5-fold.
AbstractList Hundreds of dams have been proposed throughout the Amazon basin, one of the world’s largest untapped hydropower frontiers. While hydropower is a potentially clean source of renewable energy, some projects produce high greenhouse gas (GHG) emissions per unit electricity generated (carbon intensity). Here we show how carbon intensities of proposed Amazon upland dams (median = 39 kg CO 2 eq MWh −1 , 100-year horizon) are often comparable with solar and wind energy, whereas some lowland dams (median = 133 kg CO 2 eq MWh −1 ) may exceed carbon intensities of fossil-fuel power plants. Based on 158 existing and 351 proposed dams, we present a multi-objective optimization framework showing that low-carbon expansion of Amazon hydropower relies on strategic planning, which is generally linked to placing dams in higher elevations and smaller streams. Ultimately, basin-scale dam planning that considers GHG emissions along with social and ecological externalities will be decisive for sustainable energy development where new hydropower is contemplated. Some dams produce large amounts of GHGs and it is important to see whether future dams will satisfy sustainable energy goals. Here the authors estimate the range of GHG emission intensities expected for 351 proposed and 158 existing Amazon dams and find that existing Amazon hydropower reservoirs collectively emit 14 Tg CO 2 eq per year, and that if all proposed Amazon dams are built, annual emissions would increase 5-fold.
Hundreds of dams have been proposed throughout the Amazon basin, one of the world’s largest untapped hydropower frontiers. While hydropower is a potentially clean source of renewable energy, some projects produce high greenhouse gas (GHG) emissions per unit electricity generated (carbon intensity). Here we show how carbon intensities of proposed Amazon upland dams (median = 39 kg CO 2 eq MWh −1 , 100-year horizon) are often comparable with solar and wind energy, whereas some lowland dams (median = 133 kg CO 2 eq MWh −1 ) may exceed carbon intensities of fossil-fuel power plants. Based on 158 existing and 351 proposed dams, we present a multi-objective optimization framework showing that low-carbon expansion of Amazon hydropower relies on strategic planning, which is generally linked to placing dams in higher elevations and smaller streams. Ultimately, basin-scale dam planning that considers GHG emissions along with social and ecological externalities will be decisive for sustainable energy development where new hydropower is contemplated.
Hundreds of dams have been proposed throughout the Amazon basin, one of the world's largest untapped hydropower frontiers. While hydropower is a potentially clean source of renewable energy, some projects produce high greenhouse gas (GHG) emissions per unit electricity generated (carbon intensity). Here we show how carbon intensities of proposed Amazon upland dams (median = 39 kg CO2eq MWh-1, 100-year horizon) are often comparable with solar and wind energy, whereas some lowland dams (median = 133 kg CO2eq MWh-1) may exceed carbon intensities of fossil-fuel power plants. Based on 158 existing and 351 proposed dams, we present a multi-objective optimization framework showing that low-carbon expansion of Amazon hydropower relies on strategic planning, which is generally linked to placing dams in higher elevations and smaller streams. Ultimately, basin-scale dam planning that considers GHG emissions along with social and ecological externalities will be decisive for sustainable energy development where new hydropower is contemplated.Hundreds of dams have been proposed throughout the Amazon basin, one of the world's largest untapped hydropower frontiers. While hydropower is a potentially clean source of renewable energy, some projects produce high greenhouse gas (GHG) emissions per unit electricity generated (carbon intensity). Here we show how carbon intensities of proposed Amazon upland dams (median = 39 kg CO2eq MWh-1, 100-year horizon) are often comparable with solar and wind energy, whereas some lowland dams (median = 133 kg CO2eq MWh-1) may exceed carbon intensities of fossil-fuel power plants. Based on 158 existing and 351 proposed dams, we present a multi-objective optimization framework showing that low-carbon expansion of Amazon hydropower relies on strategic planning, which is generally linked to placing dams in higher elevations and smaller streams. Ultimately, basin-scale dam planning that considers GHG emissions along with social and ecological externalities will be decisive for sustainable energy development where new hydropower is contemplated.
Hundreds of dams have been proposed throughout the Amazon basin, one of the world’s largest untapped hydropower frontiers. While hydropower is a potentially clean source of renewable energy, some projects produce high greenhouse gas (GHG) emissions per unit electricity generated (carbon intensity). Here we show how carbon intensities of proposed Amazon upland dams (median = 39 kg CO2eq MWh−1, 100-year horizon) are often comparable with solar and wind energy, whereas some lowland dams (median = 133 kg CO2eq MWh−1) may exceed carbon intensities of fossil-fuel power plants. Based on 158 existing and 351 proposed dams, we present a multi-objective optimization framework showing that low-carbon expansion of Amazon hydropower relies on strategic planning, which is generally linked to placing dams in higher elevations and smaller streams. Ultimately, basin-scale dam planning that considers GHG emissions along with social and ecological externalities will be decisive for sustainable energy development where new hydropower is contemplated.
Hundreds of dams have been proposed throughout the Amazon basin, one of the world's largest untapped hydropower frontiers. While hydropower is a potentially clean source of renewable energy, some projects produce high greenhouse gas (GHG) emissions per unit electricity generated (carbon intensity). Here we show how carbon intensities of proposed Amazon upland dams (median = 39 kg CO eq MWh , 100-year horizon) are often comparable with solar and wind energy, whereas some lowland dams (median = 133 kg CO eq MWh ) may exceed carbon intensities of fossil-fuel power plants. Based on 158 existing and 351 proposed dams, we present a multi-objective optimization framework showing that low-carbon expansion of Amazon hydropower relies on strategic planning, which is generally linked to placing dams in higher elevations and smaller streams. Ultimately, basin-scale dam planning that considers GHG emissions along with social and ecological externalities will be decisive for sustainable energy development where new hydropower is contemplated.
Some dams produce large amounts of GHGs and it is important to see whether future dams will satisfy sustainable energy goals. Here the authors estimate the range of GHG emission intensities expected for 351 proposed and 158 existing Amazon dams and find that existing Amazon hydropower reservoirs collectively emit 14 Tg CO2eq per year, and that if all proposed Amazon dams are built, annual emissions would increase 5-fold.
ArticleNumber 4281
Author Montoya, Mariana
Sethi, Suresh A.
Gomes-Selman, Jonathan M.
García-Villacorta, Roosevelt
Wu, Xiaojian
Xue, Yexiang
Melack, John M.
Almeida, Rafael M.
Hamilton, Stephen K.
Flecker, Alexander S.
Barros, Nathan
Angarita, Hector
Forsberg, Bruce R.
Gomes, Carla P.
Shi, Qinru
Perez, Guillaume
Author_xml – sequence: 1
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  organization: Department of Ecology and Evolutionary Biology, Cornell University
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  fullname: Shi, Qinru
  organization: Cornell University, Institute for Computational Sustainability
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  surname: Gomes-Selman
  fullname: Gomes-Selman, Jonathan M.
  organization: Department of Computer Science, Stanford University
– sequence: 4
  givenname: Xiaojian
  orcidid: 0000-0001-8656-3741
  surname: Wu
  fullname: Wu, Xiaojian
  organization: Cornell University, Institute for Computational Sustainability, Microsoft AI & Research
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  fullname: Xue, Yexiang
  organization: Cornell University, Institute for Computational Sustainability, Department of Computer Science, Purdue University
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  orcidid: 0000-0001-7089-2014
  surname: Angarita
  fullname: Angarita, Hector
  organization: Stockholm Environment Institute Latin America
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  givenname: Nathan
  surname: Barros
  fullname: Barros, Nathan
  organization: Department of Biology, Federal University of Juiz de Fora
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  surname: Forsberg
  fullname: Forsberg, Bruce R.
  organization: National Institute of Amazonian Research (INPA)
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  surname: García-Villacorta
  fullname: García-Villacorta, Roosevelt
  organization: Department of Ecology and Evolutionary Biology, Cornell University
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  surname: Hamilton
  fullname: Hamilton, Stephen K.
  organization: W.K. Kellogg Biological Station and Department of Integrative Biology, Michigan State University, Cary Institute of Ecosystem Studies
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  organization: Wildlife Conservation Society Peru
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  surname: Sethi
  fullname: Sethi, Suresh A.
  organization: USGS New York Cooperative Fish and Wildlife Research Unit, Department of Natural Resources, Cornell University
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  givenname: Carla P.
  surname: Gomes
  fullname: Gomes, Carla P.
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  givenname: Alexander S.
  surname: Flecker
  fullname: Flecker, Alexander S.
  email: asf3@cornell.edu
  organization: Department of Ecology and Evolutionary Biology, Cornell University
BackLink https://www.ncbi.nlm.nih.gov/pubmed/31537792$$D View this record in MEDLINE/PubMed
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Snippet Hundreds of dams have been proposed throughout the Amazon basin, one of the world’s largest untapped hydropower frontiers. While hydropower is a potentially...
Hundreds of dams have been proposed throughout the Amazon basin, one of the world's largest untapped hydropower frontiers. While hydropower is a potentially...
Some dams produce large amounts of GHGs and it is important to see whether future dams will satisfy sustainable energy goals. Here the authors estimate the...
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SubjectTerms 704/172/4081
704/47/4113
706/4066/4076
Carbon
Clean energy
Dams
Electric power generation
Emissions
Emissions control
Fossil fuels
Greenhouse effect
Greenhouse gases
Humanities and Social Sciences
Hydroelectric power
Industrial plant emissions
multidisciplinary
Multiple objective analysis
Optimization
Power plants
Renewable energy sources
River basins
Science
Science (multidisciplinary)
Solar energy
Sustainable development
Sustainable energy
Wind power
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Title Reducing greenhouse gas emissions of Amazon hydropower with strategic dam planning
URI https://link.springer.com/article/10.1038/s41467-019-12179-5
https://www.ncbi.nlm.nih.gov/pubmed/31537792
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Volume 10
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