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

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Autoren

  • Fabian Reichl
  • Jochen Hack

Externe Organisationen

  • Technische Universität Darmstadt
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Details

OriginalspracheEnglisch
Aufsatznummer572
FachzeitschriftWater
Jahrgang9
Ausgabenummer8
PublikationsstatusVeröffentlicht - 31 Juli 2017
Extern publiziertJa

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.

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Derivation of Flow Duration Curves to Estimate Hydropower Generation Potential in Data-Scarce Regions. / Reichl, Fabian; Hack, Jochen.
in: Water, Jahrgang 9, Nr. 8, 572, 31.07.2017.

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

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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.",
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Download

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AU - Reichl, Fabian

AU - Hack, Jochen

N1 - Publisher Copyright: © 2017 by the authors. Licensee MDPI, Basel, Switzerland.

PY - 2017/7/31

Y1 - 2017/7/31

N2 - 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.

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