Global Hydropower Simulation Collection


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Type: Collection
Storage: The size of this collection is 784 bytes
Created: Nov 19, 2019 at 6:56 a.m.
Last updated: Dec 22, 2020 at 2:22 a.m.
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Sharing Status: Discoverable
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Abstract

This collection consists of hydropower simulation datasets from three related studies. 1,593 hydropower reservoirs, representing almost 40% of the world's existing installed electricity capacity (as of 2019), are studied. In the first study [1], time series are generated by forcing a detailed dam model with monthly-resolution, 20th century (1906-2000) inflows. This allows us to study the impact of climate variability on hydropower production. In the second study [2], 21st century (2001-2100) streamflow are used, enabling us to study the effect of climate change on hydropower. In the third study, we identify the value of streamflow forecast in hydropower production by simulating the reservoirs under three operating schemes – control rules, forecast-informed operations with perfect forecast, and forecast informed operations with deterministic forecast. Updated simulations for 735 headwater hydropower reservoirs can be found in version 2 of the resource.

References:
[1] Ng, J. Y., Turner, S. W., & Galelli, S. (2017). Influence of El Niño Southern Oscillation on global hydropower production. Environmental Research Letters, 12(3), 034010.
[2] Turner, S. W., Ng, J. Y., & Galelli, S. (2017). Examining global electricity supply vulnerability to climate change using a high-fidelity hydropower dam model. Science of the Total Environment, 590, 663-675.

Subject Keywords

Coverage

Spatial

Coordinate System/Geographic Projection:
WGS84 EPSG:4326
Coordinate Units:
['Decimal degrees']
North Latitude
68.8200°
East Longitude
176.8150°
South Latitude
-45.8800°
West Longitude
-125.5871°

Temporal

Start Date:
End Date:

Collection Contents

Add Title Type Owners Sharing Status Remove
Global Hydropower Simulation - 20th century Resource Jia Yi Ng Published
Global Hydropower Simulation - 21st century Resource Jia Yi Ng Published
Global Hydropower Simulation - Forecast Resource Jia Yi Ng Published
Global Hydropower Simulation - Forecast_2022 Resource Jia Yi Ng Published & Shareable

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How to Cite

Ng, J. Y., S. Turner, D. Lee, P. Block, S. Galelli (2020). Global Hydropower Simulation Collection, HydroShare, http://www.hydroshare.org/resource/190d31948b6b48c8846683771a346cb5

This resource is shared under the Creative Commons Attribution CC BY.

http://creativecommons.org/licenses/by/4.0/
CC-BY

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