Optimising Water Allocation for Combined Irrigation and Hydropower Systems

The allocation of water resources among different sectors is often driven by distinct objectives, as exemplified by the divergence between hydropower production and irrigation. This study aims to optimise the water–energy nexus of an irrigation system abstracting water directly from a hydroelectric...

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Main Authors: Francesca Peretti, Andrea Menapace, Maurizio Righetti
Format: Article
Language:English
Published: MDPI AG 2024-09-01
Series:Engineering Proceedings
Subjects:
Online Access:https://www.mdpi.com/2673-4591/69/1/66
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author Francesca Peretti
Andrea Menapace
Maurizio Righetti
author_facet Francesca Peretti
Andrea Menapace
Maurizio Righetti
author_sort Francesca Peretti
collection DOAJ
description The allocation of water resources among different sectors is often driven by distinct objectives, as exemplified by the divergence between hydropower production and irrigation. This study aims to optimise the water–energy nexus of an irrigation system abstracting water directly from a hydroelectric plant by minimising the pumping costs for irrigation, ensuring necessary water needs for crops and maximising revenue from hydropower generation. The optimisation procedure was implemented using a methodology based on a particle swarm optimisation algorithm and applied to a real case study located in northern Italy. The findings offer facility operators a management tool to optimise water resources efficiently for different needs.
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institution Kabale University
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spelling doaj-art-eeb3ef5d175f480c9bfa85aaaf55ca8f2025-08-20T03:43:15ZengMDPI AGEngineering Proceedings2673-45912024-09-016916610.3390/engproc2024069066Optimising Water Allocation for Combined Irrigation and Hydropower SystemsFrancesca Peretti0Andrea Menapace1Maurizio Righetti2Faculty of Engineering, Free University of Bozen-Bolzano, Piazza Domenicani 3, 39100 Bolzano, ItalyFaculty of Engineering, Free University of Bozen-Bolzano, Piazza Domenicani 3, 39100 Bolzano, ItalyFaculty of Engineering, Free University of Bozen-Bolzano, Piazza Domenicani 3, 39100 Bolzano, ItalyThe allocation of water resources among different sectors is often driven by distinct objectives, as exemplified by the divergence between hydropower production and irrigation. This study aims to optimise the water–energy nexus of an irrigation system abstracting water directly from a hydroelectric plant by minimising the pumping costs for irrigation, ensuring necessary water needs for crops and maximising revenue from hydropower generation. The optimisation procedure was implemented using a methodology based on a particle swarm optimisation algorithm and applied to a real case study located in northern Italy. The findings offer facility operators a management tool to optimise water resources efficiently for different needs.https://www.mdpi.com/2673-4591/69/1/66irrigationhydropowerwater allocationparticle swarm optimisationpumping costs
spellingShingle Francesca Peretti
Andrea Menapace
Maurizio Righetti
Optimising Water Allocation for Combined Irrigation and Hydropower Systems
Engineering Proceedings
irrigation
hydropower
water allocation
particle swarm optimisation
pumping costs
title Optimising Water Allocation for Combined Irrigation and Hydropower Systems
title_full Optimising Water Allocation for Combined Irrigation and Hydropower Systems
title_fullStr Optimising Water Allocation for Combined Irrigation and Hydropower Systems
title_full_unstemmed Optimising Water Allocation for Combined Irrigation and Hydropower Systems
title_short Optimising Water Allocation for Combined Irrigation and Hydropower Systems
title_sort optimising water allocation for combined irrigation and hydropower systems
topic irrigation
hydropower
water allocation
particle swarm optimisation
pumping costs
url https://www.mdpi.com/2673-4591/69/1/66
work_keys_str_mv AT francescaperetti optimisingwaterallocationforcombinedirrigationandhydropowersystems
AT andreamenapace optimisingwaterallocationforcombinedirrigationandhydropowersystems
AT mauriziorighetti optimisingwaterallocationforcombinedirrigationandhydropowersystems