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Global Hydropower Simulation Collection


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Resource type: Collection Resource
Storage: The size of this resource is 616 bytes
Created: Nov 19, 2019 at 6:56 a.m.
Last updated: Nov 21, 2019 at 3:46 p.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.

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.

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Resource Level Coverage

Spatial

Coordinate System/Geographic Projection:
WGS84 EPSG:4326
Coordinate Units:
[u'Decimal degrees']
North Latitude
68.8200°
East Longitude
176.8150°
South Latitude
-45.8800°
West Longitude
-125.5870°

Temporal

Start Date:
End Date:

Collection Contents

Add Title Type Owners Sharing Status My Permission Remove
Global Hydropower Simulation - 20th century CompositeResource Jia Yi Ng Published Open Access
Global Hydropower Simulation - 21st century CompositeResource Jia Yi Ng Published Open Access
Global Hydropower Simulation - Forecast CompositeResource Jia Yi Ng Discoverable & Shareable Open Access

How to Cite

Ng, J. Y., S. Turner, L. Donghoon, S. Galelli, P. Block (2019). 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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