Identification of run-of-river hydropower investments in data scarce regions using global data

Journal article (2020)

Authors

Dipendra Magaju IHE Delft Institute for Water Education, The University of Auckland
A. Cattapan IHE Delft Institute for Water Education
M.J. Franca Rivers, Ports, Waterways and Dredging Engineering - CEG , IHE Delft Institute for Water Education
Research Group
Rivers, Ports, Waterways and Dredging Engineering (CEG) (TU Delft)
Hydrological model Data scarce regions Hydropower model Hydropower potential West Rapti basin
More Info
expand_more

Published Date

2020

Language

English

Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Faculty

Civil Engineering & Geosciences

Department

Hydraulic Engineering

Research Group

Rivers, Ports, Waterways and Dredging Engineering

Abstract

The increase in economic activities, population and rural electrification has significantly increased the energy demand in most of the developing nations. This demand has to be supplied from various sources, preferably renewable, among which hydropower is expected to be one of the major contributors. Though developed nations have already harnessed most of their hydropower potential, developing nations are still struggling in project identification and capacity assessment, mainly due to lack of data and difficulties of access. We present and test an assessment framework, developed for data scarce regions, to identify optimal location and installed capacity of multiple run-of-river hydropower projects within a river basin. The developed framework consists of two components: the first component is a hydrological model for flow duration curves, the second component is a so-called hydropower model. Flow duration curves are obtained using an existing probabilistic hydrological model which derives the probability distribution of streamflow as a function of few topographic and climatic parameters. A novel optimization procedure is developed, where viable hydropower projects are identified minimizing their specific cost, which depends mainly on discharge, head and length of conduit system. We tested the assessment framework in the West Rapti basin (Nepal). The application showed that the total potential of this basin maybe achieved with 79 different projects with capacity ranging from 1 to 17 MW. The framework was developed using open languages and software and can therefore be freely used after request to the corresponding author.