Comparing Strategies for Optimal Pumps as Turbines Selection in Pressurised Irrigation Networks Using Particle Swarm Optimisation: Application in Canal del Zújar Irrigation District, Spain
The modernisation of irrigation networks has enhanced water use efficiency but increased energy demand and costs in agriculture. Energy recovery (ER) is possible by utilising excess pressure to generate electricity with pumps as turbines (PATs), offering a cost-effective alternative to traditional t...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-06-01
|
| Series: | Technologies |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2227-7080/13/6/233 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1839652528783884288 |
|---|---|
| author | Mariana Akemi Ikegawa Bernabé Miguel Crespo Chacón Juan Antonio Rodríguez Díaz Pilar Montesinos Jorge García Morillo |
| author_facet | Mariana Akemi Ikegawa Bernabé Miguel Crespo Chacón Juan Antonio Rodríguez Díaz Pilar Montesinos Jorge García Morillo |
| author_sort | Mariana Akemi Ikegawa Bernabé |
| collection | DOAJ |
| description | The modernisation of irrigation networks has enhanced water use efficiency but increased energy demand and costs in agriculture. Energy recovery (ER) is possible by utilising excess pressure to generate electricity with pumps as turbines (PATs), offering a cost-effective alternative to traditional turbines. This study assesses the use of PATs in pressurised irrigation networks for recovering wasted hydraulic energy, employing the particle swarm optimisation (PSO) algorithm for PAT sizing based on two single-objective functions. The analysis focuses on minimising the payback period (MPP) and maximising energy recovery (MER) at specific excess pressure points (EPPs). A comparative analysis of values for each EPP and objective function is conducted independently in Sector II of the Canal del Zújar Irrigation District (CZID) in Extremadura, Spain. A sensitivity analysis on energy prices and installation costs is also performed to assess socioeconomic trends and volatility, examining their effects on both objective functions. The optimisation process predicts an annual ER for an average irrigation season using 2015 data ranging from 9554.86 kWh to 43,992.15 kWh per PATs from the MER function, and payback periods (PPs) from 12.92 years to 3.01 years for the MPP function. The sensitivity analysis replicated the optimisation for the years 2022 and 2023, showing potential annual ER of up to 54,963.21 kWh and PPs ranging from 0.88 to 5.96 years for the year 2022. |
| format | Article |
| id | doaj-art-94e81ec7ebaf4b458d09de4df50df02d |
| institution | Matheson Library |
| issn | 2227-7080 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Technologies |
| spelling | doaj-art-94e81ec7ebaf4b458d09de4df50df02d2025-06-25T14:28:11ZengMDPI AGTechnologies2227-70802025-06-0113623310.3390/technologies13060233Comparing Strategies for Optimal Pumps as Turbines Selection in Pressurised Irrigation Networks Using Particle Swarm Optimisation: Application in Canal del Zújar Irrigation District, SpainMariana Akemi Ikegawa Bernabé0Miguel Crespo Chacón1Juan Antonio Rodríguez Díaz2Pilar Montesinos3Jorge García Morillo4Programa de Doctorado de Ingeniería Agraria, Alimentaria, Forestal y del Desarrollo Rural Sostenible, Universidad de Córdoba, 14017 Córdoba, SpainEasy Hydro Limited, Trinity Business School, Trinity College Dublin, Dublin 2, D02 F6N2 Dublin, IrelandPrograma de Doctorado de Ingeniería Agraria, Alimentaria, Forestal y del Desarrollo Rural Sostenible, Universidad de Córdoba, 14017 Córdoba, SpainPrograma de Doctorado de Ingeniería Agraria, Alimentaria, Forestal y del Desarrollo Rural Sostenible, Universidad de Córdoba, 14017 Córdoba, SpainPrograma de Doctorado de Ingeniería Agraria, Alimentaria, Forestal y del Desarrollo Rural Sostenible, Universidad de Córdoba, 14017 Córdoba, SpainThe modernisation of irrigation networks has enhanced water use efficiency but increased energy demand and costs in agriculture. Energy recovery (ER) is possible by utilising excess pressure to generate electricity with pumps as turbines (PATs), offering a cost-effective alternative to traditional turbines. This study assesses the use of PATs in pressurised irrigation networks for recovering wasted hydraulic energy, employing the particle swarm optimisation (PSO) algorithm for PAT sizing based on two single-objective functions. The analysis focuses on minimising the payback period (MPP) and maximising energy recovery (MER) at specific excess pressure points (EPPs). A comparative analysis of values for each EPP and objective function is conducted independently in Sector II of the Canal del Zújar Irrigation District (CZID) in Extremadura, Spain. A sensitivity analysis on energy prices and installation costs is also performed to assess socioeconomic trends and volatility, examining their effects on both objective functions. The optimisation process predicts an annual ER for an average irrigation season using 2015 data ranging from 9554.86 kWh to 43,992.15 kWh per PATs from the MER function, and payback periods (PPs) from 12.92 years to 3.01 years for the MPP function. The sensitivity analysis replicated the optimisation for the years 2022 and 2023, showing potential annual ER of up to 54,963.21 kWh and PPs ranging from 0.88 to 5.96 years for the year 2022.https://www.mdpi.com/2227-7080/13/6/233pump as turbine (PAT)energy recovery in irrigation networkspayback period (PP)algorithmparticle swarm optimisation (PSO) |
| spellingShingle | Mariana Akemi Ikegawa Bernabé Miguel Crespo Chacón Juan Antonio Rodríguez Díaz Pilar Montesinos Jorge García Morillo Comparing Strategies for Optimal Pumps as Turbines Selection in Pressurised Irrigation Networks Using Particle Swarm Optimisation: Application in Canal del Zújar Irrigation District, Spain Technologies pump as turbine (PAT) energy recovery in irrigation networks payback period (PP) algorithm particle swarm optimisation (PSO) |
| title | Comparing Strategies for Optimal Pumps as Turbines Selection in Pressurised Irrigation Networks Using Particle Swarm Optimisation: Application in Canal del Zújar Irrigation District, Spain |
| title_full | Comparing Strategies for Optimal Pumps as Turbines Selection in Pressurised Irrigation Networks Using Particle Swarm Optimisation: Application in Canal del Zújar Irrigation District, Spain |
| title_fullStr | Comparing Strategies for Optimal Pumps as Turbines Selection in Pressurised Irrigation Networks Using Particle Swarm Optimisation: Application in Canal del Zújar Irrigation District, Spain |
| title_full_unstemmed | Comparing Strategies for Optimal Pumps as Turbines Selection in Pressurised Irrigation Networks Using Particle Swarm Optimisation: Application in Canal del Zújar Irrigation District, Spain |
| title_short | Comparing Strategies for Optimal Pumps as Turbines Selection in Pressurised Irrigation Networks Using Particle Swarm Optimisation: Application in Canal del Zújar Irrigation District, Spain |
| title_sort | comparing strategies for optimal pumps as turbines selection in pressurised irrigation networks using particle swarm optimisation application in canal del zujar irrigation district spain |
| topic | pump as turbine (PAT) energy recovery in irrigation networks payback period (PP) algorithm particle swarm optimisation (PSO) |
| url | https://www.mdpi.com/2227-7080/13/6/233 |
| work_keys_str_mv | AT marianaakemiikegawabernabe comparingstrategiesforoptimalpumpsasturbinesselectioninpressurisedirrigationnetworksusingparticleswarmoptimisationapplicationincanaldelzujarirrigationdistrictspain AT miguelcrespochacon comparingstrategiesforoptimalpumpsasturbinesselectioninpressurisedirrigationnetworksusingparticleswarmoptimisationapplicationincanaldelzujarirrigationdistrictspain AT juanantoniorodriguezdiaz comparingstrategiesforoptimalpumpsasturbinesselectioninpressurisedirrigationnetworksusingparticleswarmoptimisationapplicationincanaldelzujarirrigationdistrictspain AT pilarmontesinos comparingstrategiesforoptimalpumpsasturbinesselectioninpressurisedirrigationnetworksusingparticleswarmoptimisationapplicationincanaldelzujarirrigationdistrictspain AT jorgegarciamorillo comparingstrategiesforoptimalpumpsasturbinesselectioninpressurisedirrigationnetworksusingparticleswarmoptimisationapplicationincanaldelzujarirrigationdistrictspain |