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Reducing greenhouse gas emissions of Amazon hydropower with strategic dam planning.
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.
Afiliación
  • Almeida RM; Department of Ecology and Evolutionary Biology, Cornell University, Ithaca, NY, 14853, USA. rafaelmalmeida2@gmail.com.
  • Shi Q; Cornell University, Institute for Computational Sustainability, Ithaca, NY, 14853, USA.
  • Gomes-Selman JM; Department of Computer Science, Stanford University, Palo Alto, CA, 94305, USA.
  • Wu X; Cornell University, Institute for Computational Sustainability, Ithaca, NY, 14853, USA.
  • Xue Y; Microsoft AI & Research, Sunnyvale, CA, USA.
  • Angarita H; Cornell University, Institute for Computational Sustainability, Ithaca, NY, 14853, USA.
  • Barros N; Department of Computer Science, Purdue University, West Lafayette, IN, USA.
  • Forsberg BR; Stockholm Environment Institute Latin America, Bogota, 110231, Colombia.
  • García-Villacorta R; Department of Biology, Federal University of Juiz de Fora, Juiz de Fora, 36036-900, Brazil.
  • Hamilton SK; National Institute of Amazonian Research (INPA), Manaus, 69060-001, Brazil.
  • Melack JM; Department of Ecology and Evolutionary Biology, Cornell University, Ithaca, NY, 14853, USA.
  • Montoya M; W.K. Kellogg Biological Station and Department of Integrative Biology, Michigan State University, Hickory Corners, MI, 49060, USA.
  • Perez G; Cary Institute of Ecosystem Studies, Millbrook, NY, 12545, USA.
  • Sethi SA; Bren School of Environmental Science and Management, University of California at Santa Barbara, Santa Barbara, CA, 93106, USA.
  • Gomes CP; Wildlife Conservation Society Peru, Lima, 15048, Peru.
  • Flecker AS; Cornell University, Institute for Computational Sustainability, Ithaca, NY, 14853, USA.
Nat Commun ; 10(1): 4281, 2019 09 19.
Article en En | MEDLINE | ID: mdl-31537792
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 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.

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Nat Commun Asunto de la revista: BIOLOGIA / CIENCIA Año: 2019 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Nat Commun Asunto de la revista: BIOLOGIA / CIENCIA Año: 2019 Tipo del documento: Article País de afiliación: Estados Unidos