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Derivation of Flow Duration Curves to Estimate Hydropower Generation Potential in Data-Scarce Regions

Hack, Jochen ; Reichl, Fabian (2017):
Derivation of Flow Duration Curves to Estimate Hydropower Generation Potential in Data-Scarce Regions.
9, In: Water, (8 (572)), MDPI, ISSN 2073-4441,
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Item Type: Article
Origin: Secondary publication via sponsored Golden Open Access
Title: Derivation of Flow Duration Curves to Estimate Hydropower Generation Potential in Data-Scarce Regions
Language: English
Abstract:

Small-scale hydropower is a robust and reliable form of sustainable energy supply in remote areas. On the one hand, the potential for hydropower generation depends on the specific climate in a given place, and precipitation above all. On the other hand, such potential also depends on the catchment’s characteristics, e.g., topography, land use, and soils. In the absence of discharge measurements, the available river flow for hydropower production can be estimated in the form of a flow duration curve based on these variables. In this study, the lumped rainfall-runoff method by Crawford and Thurin (1981) was modified to calculate a flow duration curve with a daily time step for an ungauged catchment in Nicaragua. Satisfactory results could be obtained by calibrating the method with the aid of a few discharge measurements. Best results were obtained with a parameter set for groundwater flow and recharge to groundwater from excess soil moisture of 0.014 and 0.6, respectively. Considering the climate and catchment characteristics of the study site, this parameterization can be physically reasoned.

Journal or Publication Title: Water
Series Volume: 9
Issue Number: 8 (572)
Place of Publication: Darmstadt
Publisher: MDPI
Classification DDC: 600 Technik, Medizin, angewandte Wissenschaften > 620 Ingenieurwissenschaften und Maschinenbau
Divisions: 13 Department of Civil and Environmental Engineering Sciences > Institute of Hydraulic and Water Resources Engineering > Engineering Hydrology and Water Management
Date Deposited: 27 Oct 2017 10:16
Last Modified: 13 Dec 2022 09:55
Corresponding Links:
URN: urn:nbn:de:tuda-tuprints-69186
URI: https://tuprints.ulb.tu-darmstadt.de/id/eprint/6918
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