Reducing greenhouse gas emissions of Amazon hydropower with strategic dam planning

Detalhes bibliográficos
Autor(a) principal: Almeida, Rafael M.
Data de Publicação: 2019
Outros Autores: Shi, Qinru, Gomes-Selman, Jonathan M., Wu, Xiaojian, Xue, Yexiang, Angarita, Héctor A., Barros, Nathan Oliveira, Forsberg, Bruce Rider, García-Villacorta, Roosevelt, Hamilton, Stephen K., Melack, John M., Montoya, Mariana, Perez, Guillaume, Sethi, Suresh Andrew, Gomes, Carla P., Flecker, Alexander S.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional do INPA
Texto Completo: https://repositorio.inpa.gov.br/handle/1/15485
Resumo: 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. © 2019, The Author(s).
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spelling Almeida, Rafael M.Shi, QinruGomes-Selman, Jonathan M.Wu, XiaojianXue, YexiangAngarita, Héctor A.Barros, Nathan OliveiraForsberg, Bruce RiderGarcía-Villacorta, RooseveltHamilton, Stephen K.Melack, John M.Montoya, MarianaPerez, GuillaumeSethi, Suresh AndrewGomes, Carla P.Flecker, Alexander S.2020-05-14T16:04:16Z2020-05-14T16:04:16Z2019https://repositorio.inpa.gov.br/handle/1/1548510.1038/s41467-019-12179-5Hundreds 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. © 2019, The Author(s).Volume 10, Número 1Attribution-NonCommercial-NoDerivs 3.0 Brazilhttp://creativecommons.org/licenses/by-nc-nd/3.0/br/info:eu-repo/semantics/openAccessCarbonFossil FuelAlternative EnergyDamElectricity GenerationEmissionEnergy PlanningEnergy ResourceFossil FuelGreenhouse GasPower PlantSmall Scale HydropowerStrategic ApproachSustainable DevelopmentAmazonasCarbon FootprintDam (barrier)Electric Power PlantEnvironmental PlanningGreenhouse GasHydropowerMultiobjective OptimizationRenewable EnergyStrategic PlanningAmazon BasinReducing greenhouse gas emissions of Amazon hydropower with strategic dam planninginfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleNature Communicationsengreponame:Repositório Institucional do INPAinstname:Instituto Nacional de Pesquisas da Amazônia (INPA)instacron:INPAORIGINALartigo-inpa.pdfartigo-inpa.pdfapplication/pdf1304210https://repositorio.inpa.gov.br/bitstream/1/15485/1/artigo-inpa.pdf8d1e4accceb0ff81186e9fe6976d29d3MD511/154852020-05-14 12:30:52.329oai:repositorio:1/15485Repositório de PublicaçõesPUBhttps://repositorio.inpa.gov.br/oai/requestopendoar:2020-05-14T16:30:52Repositório Institucional do INPA - Instituto Nacional de Pesquisas da Amazônia (INPA)false
dc.title.en.fl_str_mv Reducing greenhouse gas emissions of Amazon hydropower with strategic dam planning
title Reducing greenhouse gas emissions of Amazon hydropower with strategic dam planning
spellingShingle Reducing greenhouse gas emissions of Amazon hydropower with strategic dam planning
Almeida, Rafael M.
Carbon
Fossil Fuel
Alternative Energy
Dam
Electricity Generation
Emission
Energy Planning
Energy Resource
Fossil Fuel
Greenhouse Gas
Power Plant
Small Scale Hydropower
Strategic Approach
Sustainable Development
Amazonas
Carbon Footprint
Dam (barrier)
Electric Power Plant
Environmental Planning
Greenhouse Gas
Hydropower
Multiobjective Optimization
Renewable Energy
Strategic Planning
Amazon Basin
title_short Reducing greenhouse gas emissions of Amazon hydropower with strategic dam planning
title_full Reducing greenhouse gas emissions of Amazon hydropower with strategic dam planning
title_fullStr Reducing greenhouse gas emissions of Amazon hydropower with strategic dam planning
title_full_unstemmed Reducing greenhouse gas emissions of Amazon hydropower with strategic dam planning
title_sort Reducing greenhouse gas emissions of Amazon hydropower with strategic dam planning
author Almeida, Rafael M.
author_facet Almeida, Rafael M.
Shi, Qinru
Gomes-Selman, Jonathan M.
Wu, Xiaojian
Xue, Yexiang
Angarita, Héctor A.
Barros, Nathan Oliveira
Forsberg, Bruce Rider
García-Villacorta, Roosevelt
Hamilton, Stephen K.
Melack, John M.
Montoya, Mariana
Perez, Guillaume
Sethi, Suresh Andrew
Gomes, Carla P.
Flecker, Alexander S.
author_role author
author2 Shi, Qinru
Gomes-Selman, Jonathan M.
Wu, Xiaojian
Xue, Yexiang
Angarita, Héctor A.
Barros, Nathan Oliveira
Forsberg, Bruce Rider
García-Villacorta, Roosevelt
Hamilton, Stephen K.
Melack, John M.
Montoya, Mariana
Perez, Guillaume
Sethi, Suresh Andrew
Gomes, Carla P.
Flecker, Alexander S.
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Almeida, Rafael M.
Shi, Qinru
Gomes-Selman, Jonathan M.
Wu, Xiaojian
Xue, Yexiang
Angarita, Héctor A.
Barros, Nathan Oliveira
Forsberg, Bruce Rider
García-Villacorta, Roosevelt
Hamilton, Stephen K.
Melack, John M.
Montoya, Mariana
Perez, Guillaume
Sethi, Suresh Andrew
Gomes, Carla P.
Flecker, Alexander S.
dc.subject.eng.fl_str_mv Carbon
Fossil Fuel
Alternative Energy
Dam
Electricity Generation
Emission
Energy Planning
Energy Resource
Fossil Fuel
Greenhouse Gas
Power Plant
Small Scale Hydropower
Strategic Approach
Sustainable Development
Amazonas
Carbon Footprint
Dam (barrier)
Electric Power Plant
Environmental Planning
Greenhouse Gas
Hydropower
Multiobjective Optimization
Renewable Energy
Strategic Planning
Amazon Basin
topic Carbon
Fossil Fuel
Alternative Energy
Dam
Electricity Generation
Emission
Energy Planning
Energy Resource
Fossil Fuel
Greenhouse Gas
Power Plant
Small Scale Hydropower
Strategic Approach
Sustainable Development
Amazonas
Carbon Footprint
Dam (barrier)
Electric Power Plant
Environmental Planning
Greenhouse Gas
Hydropower
Multiobjective Optimization
Renewable Energy
Strategic Planning
Amazon Basin
description 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. © 2019, The Author(s).
publishDate 2019
dc.date.issued.fl_str_mv 2019
dc.date.accessioned.fl_str_mv 2020-05-14T16:04:16Z
dc.date.available.fl_str_mv 2020-05-14T16:04:16Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://repositorio.inpa.gov.br/handle/1/15485
dc.identifier.doi.none.fl_str_mv 10.1038/s41467-019-12179-5
url https://repositorio.inpa.gov.br/handle/1/15485
identifier_str_mv 10.1038/s41467-019-12179-5
dc.language.iso.fl_str_mv eng
language eng
dc.relation.ispartof.pt_BR.fl_str_mv Volume 10, Número 1
dc.rights.driver.fl_str_mv Attribution-NonCommercial-NoDerivs 3.0 Brazil
http://creativecommons.org/licenses/by-nc-nd/3.0/br/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Attribution-NonCommercial-NoDerivs 3.0 Brazil
http://creativecommons.org/licenses/by-nc-nd/3.0/br/
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Nature Communications
publisher.none.fl_str_mv Nature Communications
dc.source.none.fl_str_mv reponame:Repositório Institucional do INPA
instname:Instituto Nacional de Pesquisas da Amazônia (INPA)
instacron:INPA
instname_str Instituto Nacional de Pesquisas da Amazônia (INPA)
instacron_str INPA
institution INPA
reponame_str Repositório Institucional do INPA
collection Repositório Institucional do INPA
bitstream.url.fl_str_mv https://repositorio.inpa.gov.br/bitstream/1/15485/1/artigo-inpa.pdf
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repository.name.fl_str_mv Repositório Institucional do INPA - Instituto Nacional de Pesquisas da Amazônia (INPA)
repository.mail.fl_str_mv
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