Renewable Capacity Highlights (International Renewable Energy Agency, 2019); https://www.irena.org/-/media/Files/IRENA/Agency/Publication/2019/Mar/RE_capacity_highlights_2019.pdf
Renewable Energy Highlights (International Renewable Energy Agency, 2019); https://www.irena.org/-/media/Files/IRENA/Agency/Publication/2019/Jul/IRENA_Renewable_energy_highlights_July_2019.pdf
Moran, E. F., Lopez, M. C., Moore, N., Müller, N. & Hyndman, D. W. Sustainable hydropower in the 21st century. Proc. Natl Acad. Sci. USA 115, 201809426 (2018).
Google Scholar
Gernaat, D. E. H. J., Bogaart, P. W., Vuuren, D. P. V., Biemans, H. & Niessink, R. High-resolution assessment of global technical and economic hydropower potential. Nat. Energy 2, 821–828 (2017).
Google Scholar
Winemiller, K. O. et al. Balancing hydropower and biodiversity in the Amazon, Congo, and Mekong. Science 351, 128–129 (2016).
Google Scholar
Pokhrel, Y., Shin, S., Lin, Z., Yamazaki, D. & Qi, J. Potential disruption of flood dynamics in the Lower Mekong River Basin due to upstream flow regulation. Sci. Rep. 8, 17767 (2018).
Google Scholar
Pokhrel, Y. et al. A review of the integrated effects of changing climate, land use, and dams on Mekong River Hydrology. Water 10, 266 (2018).
Google Scholar
Stone, R. Dam-building threatens Mekong fisheries. Science 354, 1084–1085 (2016).
Google Scholar
Fearnside, P. M. & Pueyo, S. Greenhouse-gas emissions from tropical dams. Nat. Clim. Change 2, 382 (2012).
Google Scholar
O’Connor, J. E., Duda, J. J. & Grant, G. E. 1000 dams down and counting. Science 348, 496–497 (2015).
Google Scholar
Timpe, K. & Kaplan, D. The changing hydrology of a dammed Amazon. Sci. Adv. 3, e1700611 (2017).
Google Scholar
Latrubesse, E. M. et al. Damming the rivers of the Amazon basin. Nature 546, 363–369 (2017).
Google Scholar
Forsberg, B. R. et al. The potential impact of new Andean dams on Amazon fluvial ecosystems. PLoS ONE 12, e0182254 (2017).
Google Scholar
Finer, M. & Jenkins, C. N. Proliferation of hydroelectric dams in the Andean Amazon and implications for Andes-Amazon connectivity. PLoS ONE 7, e35126 (2012).
Google Scholar
Anderson, E. P. et al. Fragmentation of Andes-to-Amazon connectivity by hydropower dams. Sci. Adv. 4, eaao1642 (2018).
Google Scholar
Pokhrel, Y. et al. Model estimates of sea-level change due to anthropogenic impacts on terrestrial water storage. Nat. Geosci. 5, 389–392 (2012).
Google Scholar
Eiriksdottir, E. S., Oelkers, E. H., Hardardottir, J. & Gislason, S. R. The impact of damming on riverine fluxes to the ocean: a case study from Eastern Iceland. Water Res. 113, 124–138 (2017).
Google Scholar
Yang, H. F. et al. Erosion potential of the Yangtze Delta under sediment starvation and climate change. Sci. Rep. 7, 10535 (2017).
Google Scholar
Cochrane, S. M. V., Matricardi, E. A. T., Numata, I. & Lefebvre, P. A. Landsat-based analysis of mega dam flooding impacts in the Amazon compared to associated environmental impact assessments: upper Madeira River example 2006–2015. Remote Sens. Appl. Soc. Environ. 7, 1–8 (2017).
Fearnside, P. M. Impacts of Brazil’s Madeira River dams: unlearned lessons for hydroelectric development in Amazonia. Environ. Sci. Policy 38, 164–172 (2014).
Google Scholar
VanZwieten, J. et al. In-stream hydrokinetic power: review and appraisal. J. Energy Eng. 141, 04014024 (2014).
Google Scholar
Pokhrel, Y. N., Oki, T. & Kanae, S. A grid based assessment of global theoretical hydropower potential. Annu. J. Hydraul. Eng. 52, 7–12 (2008).
Google Scholar
Zhou, Y. et al. A comprehensive view of global potential for hydro-generated electricity. Energy Environ. Sci. 8, 2622–2633 (2015).
Google Scholar
Hoes, O. A. C., Meijer, L. J. J., Van Der Ent, R. J. & Van De Giesen, N. C. Systematic high-resolution assessment of global hydropower potential. PLoS ONE 12, e0171844 (2017).
Google Scholar
Bryden, I. G. & Couch, S. J. ME1—marine energy extraction: tidal resource analysis. Renew. Energy 31, 133–139 (2006).
Google Scholar
Karsten, R., Swan, A. & Culina, J. Assessment of arrays of in-stream tidal turbines in the Bay of Fundy. Philos. Trans. R. Soc. A 371, 20120189 (2013).
Google Scholar
Malki, R., Masters, I., Williams, A. J. & Nick Croft, T. Planning tidal stream turbine array layouts using a coupled blade element momentum—computational fluid dynamics model. Renew. Energy 63, 46–54 (2014).
Google Scholar
Vennell, R., Funke, S. W., Draper, S., Stevens, C. & Divett, T. Designing large arrays of tidal turbines: a synthesis and review. Renew. Sustain. Energy Rev. 41, 454–472 (2015).
Google Scholar
Assessment and Mapping of the Riverine Hydrokinetic Energy Resource in the Continental United States Report No. 1026880 (Electrical Power Research Institute, 2012).
Ortega-Achury, S., McAnally, W., Davis, T. & Martin, J. Hydrokinetic Power Review (Mississippi State Univ., 2010).
Garrett, C. & Cummins, P. The efficiency of a turbine in a tidal channel. J. Fluid Mech. 588, 243–251 (2007).
Google Scholar
Garrett, C. & Cummins, P. Limits to tidal current power. Renew. Energy 33, 2485–2490 (2008).
Google Scholar
Miller, G., Franceschi, J., Lese, W. & Rico, J. The Allocation of Kinetic Hydro Energy Conversion Systems (KHECS) in USA Drainage Basins: Regional Resource and Potential Power (USDA,1986).
Chaudhari, S., Pokhrel, Y., Moran, E. F. & Miguez-Macho, G. Multi-decadal hydrologic change and variability in the Amazon River Basin: understanding terrestrial water storage variations and drought characteristics. Hydrol. Earth Syst. Sci. 23, 2841–2862 (2019).
Google Scholar
Pokhrel, Y. N., Fan, Y., Miguez-Macho, G., Yeh, P. J. F. & Han, S. C. The role of groundwater in the Amazon water cycle: 3. Influence on terrestrial water storage computations and comparison with GRACE. J. Geophys. Res. Atmos. 118, 3233–3244 (2013).
Google Scholar
Ten-Year Energy Expansion Plan 2029 (Ministry of Mines and Energy, 2019).
Ansar, A., Flyvbjerg, B., Budzier, A. & Lunn, D. Should we build more large dams? The actual costs of hydropower megaproject development. Energy Policy 69, 43–56 (2014).
Google Scholar
Petheram, C. & McMahon, T. A. Dams, dam costs and damnable cost overruns. J. Hydrol. X 3, 100026 (2019).
Google Scholar
Awojobi, O. & Jenkins, G. P. Were the hydro dams financed by the World Bank from 1976 to 2005 worthwhile? Energy Policy 86, 222–232 (2015).
Google Scholar
Previsic, M., Bedard, R. & Polagye, B. System Level Design, Performance, Cost and Economic Assessment—Alaska River In-stream Power Plants (EPRI, 2008).
Copping, A. E. & Hemery, L. G. OES-Environmental 2020 State of the Science Report: Environmental Effects of Marine Renewable Energy Development Around the World (USDOE, 2020); https://doi.org/10.2172/1632878
Davidson, E. A. et al. The Amazon basin in transition. Nature 481, 321–328 (2012).
Google Scholar
Lovejoy, T. E. & Nobre, C. Amazon tipping point. Sci. Adv. 4, eaat2340 (2018).
Malhi, Y. et al. Climate change, deforestation, and the fate of the Amazon. Science 319, 169–172 (2008).
Google Scholar
Miguez-Macho, G. & Fan, Y. The role of groundwater in the Amazon water cycle: 1. Influence on seasonal streamflow, flooding and wetlands. J. Geophys. Res. Atmos. https://doi.org/10.1029/2012JD017539 (2012).
Shin, S., Pokhrel, Y. & Miguez-Macho, G. High resolution modeling of reservoir release and storage dynamics at the continental scale. Water Resour. Res. 55, 787–810 (2019).
Google Scholar
Pokhrel, Y. et al. Incorporating anthropogenic water regulation modules into a land surface model. J. Hydrometeorol. 13, 255–269 (2012).
Google Scholar
Pokhrel, Y. N., Fan, Y. & Miguez-Macho, G. Potential hydrologic changes in the Amazon by the end of the 21st century and the groundwater buffer. Environ. Res. Lett. 9, 084004 (2014).
Google Scholar
Yamazaki, D., Oki, T. & Kanae, S. Deriving a global river network map and its sub-grid topographic characteristics from a fine-resolution flow direction map. Hydrol. Earth Syst. Sci. 13, 2241–2251 (2009).
Google Scholar
Lehner, B., Verdin, K. & Jarvis, A. New global hydrography derived from spaceborne elevation data. Eos 89, 93–94 (2008).
Google Scholar
Coe, M. T., Costa, M. H. & Howard, E. A. Simulating the surface waters of the Amazon River basin: impacts of new river geomorphic and flow parameterizations. Hydrol. Process. 22, 2542–2553 (2008).
Google Scholar
Mulligan, M., Saenz-Cruz, L., van Soesbergen, A., Smith, V. T. & Zurita, L. Global Dams Database and Geowiki Version 1 (Geodata, 2009); http://geodata.policysupport.org/dams
Zarfl, C., Lumsdon, A. E., Berlekamp, J., Tydecks, L. & Tockner, K. A global boom in hydropower dam construction. Aquat. Sci. 77, 161–170 (2015).
Google Scholar
Guney, M. S. Evaluation and measures to increase performance coefficient of hydrokinetic turbines. Renew. Sustain. Energy Rev. 15, 3669–3675 (2011).
Google Scholar
Shin, S. et al. High resolution modeling of river–floodplain–reservoir inundation dynamics in the Mekong River Basin. Water Resour. Res. 56, e2019WR026449 (2020).
Google Scholar
Previsic, M. Cost Breakdown Structure for River Current Device (Sandia National Laboratory, 2012).
Renewable Power Generation Costs in 2019 (International Renewable Energy Agency, 2019); https://www.irena.org/-/media/Files/IRENA/Agency/Publication/2020/Jun/IRENA_Power_Generation_Costs_2019.pdf
Gridded Population of the World v.4 (CIESIN, 2016); https://doi.org/10.7927/H4SF2T42
Source: Resources - nature.com
