Importance of Variable Turbine Efficiency in Run‐Of‐River Hydropower Design Under Deep Uncertainty

Abstract When less water is available, hydropower turbines are less efficient, or have to stop altogether. This reality is often neglected in recent work on the planning and operations of hydropower systems, despite widespread expected increases in drought intensity, frequency and duration. This pap...

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Main Authors: Veysel Yildiz, Solomon Brown, Charles Rougé
Format: Article
Language:English
Published: Wiley 2024-06-01
Series:Water Resources Research
Subjects:
Online Access:https://doi.org/10.1029/2023WR035713
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author Veysel Yildiz
Solomon Brown
Charles Rougé
author_facet Veysel Yildiz
Solomon Brown
Charles Rougé
author_sort Veysel Yildiz
collection DOAJ
description Abstract When less water is available, hydropower turbines are less efficient, or have to stop altogether. This reality is often neglected in recent work on the planning and operations of hydropower systems, despite widespread expected increases in drought intensity, frequency and duration. This paper is the first to integrate variable‐efficiency turbines into a hydropower plant design framework that accounts for design optimization as well as deep uncertainty in climatic and socio‐economic variables. Specifically, this framework focuses on leveraging multi‐objective robust decision making for the financially robust design of run‐of‐river hydropower plants, whose output is highly sensitive to flow variability. Application to five plants in Türkiye challenges two key design assumptions, use of net present value as a design objective and use of identical turbines. Instead, maximizing the benefit‐cost ratio yields plants with better financial viability over a range of plausible futures. They tend to have smaller capacity, and feature a small turbine that is well‐adapted to low‐flow periods. Another key insight is that socio‐economic uncertainties have as much or even more impact on robustness than climate conditions. In fact, these uncertainties have the potential to make many small hydropower projects too risky to build. Our findings are of considerable practical relevance at a time where 140 GW of unexploited small hydropower potential could help power the energy transition. They also highlight the need for similar research in reservoir‐based plants, considering over 3,000 such plants planned or in construction worldwide.
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spelling doaj-art-a844e7ea076d42e09a571ba22c2a1d1e2025-08-20T02:09:25ZengWileyWater Resources Research0043-13971944-79732024-06-01606n/an/a10.1029/2023WR035713Importance of Variable Turbine Efficiency in Run‐Of‐River Hydropower Design Under Deep UncertaintyVeysel Yildiz0Solomon Brown1Charles Rougé2Department of Civil and Structural Engineering The University of Sheffield Sheffield UKDepartment of Chemical and Biological Engineering The University of Sheffield Sheffield UKDepartment of Civil and Structural Engineering The University of Sheffield Sheffield UKAbstract When less water is available, hydropower turbines are less efficient, or have to stop altogether. This reality is often neglected in recent work on the planning and operations of hydropower systems, despite widespread expected increases in drought intensity, frequency and duration. This paper is the first to integrate variable‐efficiency turbines into a hydropower plant design framework that accounts for design optimization as well as deep uncertainty in climatic and socio‐economic variables. Specifically, this framework focuses on leveraging multi‐objective robust decision making for the financially robust design of run‐of‐river hydropower plants, whose output is highly sensitive to flow variability. Application to five plants in Türkiye challenges two key design assumptions, use of net present value as a design objective and use of identical turbines. Instead, maximizing the benefit‐cost ratio yields plants with better financial viability over a range of plausible futures. They tend to have smaller capacity, and feature a small turbine that is well‐adapted to low‐flow periods. Another key insight is that socio‐economic uncertainties have as much or even more impact on robustness than climate conditions. In fact, these uncertainties have the potential to make many small hydropower projects too risky to build. Our findings are of considerable practical relevance at a time where 140 GW of unexploited small hydropower potential could help power the energy transition. They also highlight the need for similar research in reservoir‐based plants, considering over 3,000 such plants planned or in construction worldwide.https://doi.org/10.1029/2023WR035713hydropowerwater resourcesrobust decision makingrun‐of‐riverHYPERuncertainty analysis
spellingShingle Veysel Yildiz
Solomon Brown
Charles Rougé
Importance of Variable Turbine Efficiency in Run‐Of‐River Hydropower Design Under Deep Uncertainty
Water Resources Research
hydropower
water resources
robust decision making
run‐of‐river
HYPER
uncertainty analysis
title Importance of Variable Turbine Efficiency in Run‐Of‐River Hydropower Design Under Deep Uncertainty
title_full Importance of Variable Turbine Efficiency in Run‐Of‐River Hydropower Design Under Deep Uncertainty
title_fullStr Importance of Variable Turbine Efficiency in Run‐Of‐River Hydropower Design Under Deep Uncertainty
title_full_unstemmed Importance of Variable Turbine Efficiency in Run‐Of‐River Hydropower Design Under Deep Uncertainty
title_short Importance of Variable Turbine Efficiency in Run‐Of‐River Hydropower Design Under Deep Uncertainty
title_sort importance of variable turbine efficiency in run of river hydropower design under deep uncertainty
topic hydropower
water resources
robust decision making
run‐of‐river
HYPER
uncertainty analysis
url https://doi.org/10.1029/2023WR035713
work_keys_str_mv AT veyselyildiz importanceofvariableturbineefficiencyinrunofriverhydropowerdesignunderdeepuncertainty
AT solomonbrown importanceofvariableturbineefficiencyinrunofriverhydropowerdesignunderdeepuncertainty
AT charlesrouge importanceofvariableturbineefficiencyinrunofriverhydropowerdesignunderdeepuncertainty