Modelling and simulation of a wind-driven pumping system for water distribution networks

Abstract Background Providing a reliable water supply to remote, off-grid communities is a significant challenge in arid and semi-arid regions due to the high cost of extending the electrical infrastructure. Although wind energy offers a sustainable option, conventional wind-electric systems often require high maintenance and result in energy conversion losses. The aim of this study is to model and evaluate a mechanically coupled wind pumping system as a cost-effective and robust alternative for residential water distribution in such environments. Methods A comprehensive mathematical model was developed to simulate the dynamic performance of a horizontal axis wind turbine (HAWT) mechanically coupled to a centrifugal pump via a gearbox. The system was designed to lift water from a surface water source to a storage tank, thereby overcoming the intermittency of wind power. The simulation integrated the blade element momentum (BEM) theory for the turbine and affinity laws for the pump. A dynamic simulation was conducted using the hourly wind and water demand data for a case study in Ras Gharib, Egypt. In order to identify the optimal configuration for water reliability, two turbine design strategies were compared: Method A, which prioritized minimizing the starting wind speed, and Method B, which prioritized maximizing the aerodynamic efficiency. Results The simulation results showed that coupling the turbine and the pump directly would effectively meet the community’s water demand. However, the parametric analysis revealed a trade-off between reliability and efficiency; some configurations achieved a water demand fulfillment rate of up to 99.7%, while others reached a peak efficiency of 37%, which were associated with varying design constraints. When using Method B to balance performance metrics, the optimal configuration achieved 89.6% demand fulfillment and 32% efficiency with a compact 2.3 m turbine radius. The sensitivity analysis further revealed that the reliability of the system is most sensitive to the sizing of the hydraulic load, particularly the diameter of the pipeline and the design speed of the pump. Conclusions This study confirms that mechanical wind pumping systems are a viable, sustainable solution for off-grid water distribution. The developed model provides a valuable planning tool that helps engineers and policymakers size and optimize the infrastructure in remote areas for potential agricultural and mixed-use applications.

Authors

Institutions

Publication Details

Journal
Energy Sustainability and Society
Published
2026-04-03
DOI
https://doi.org/10.1186/s13705-026-00575-x
Primary Topic
Cavitation Phenomena in Pumps
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Modelling and simulation of a wind-driven pumping system for water distribution networks

Yahia M. Fouda, H. Mansour, Ahmed AbuElwan
Energy Sustainability and Society
Cavitation Phenomena in Pumps
article

Modelling and simulation of a wind-driven pumping system for water distribution networks

Yahia M. Fouda, H. Mansour, Ahmed AbuElwan
article en

Abstract

Abstract Background Providing a reliable water supply to remote, off-grid communities is a significant challenge in arid and semi-arid regions due to the high cost of extending the electrical infrastructure. Although wind energy offers a sustainable option, conventional wind-electric systems often require high maintenance and result in energy conversion losses. The aim of this study is to model and evaluate a mechanically coupled wind pumping system as a cost-effective and robust alternative for residential water distribution in such environments. Methods A comprehensive mathematical model was developed to simulate the dynamic performance of a horizontal axis wind turbine (HAWT) mechanically coupled to a centrifugal pump via a gearbox. The system was designed to lift water from a surface water source to a storage tank, thereby overcoming the intermittency of wind power. The simulation integrated the blade element momentum (BEM) theory for the turbine and affinity laws for the pump. A dynamic simulation was conducted using the hourly wind and water demand data for a case study in Ras Gharib, Egypt. In order to identify the optimal configuration for water reliability, two turbine design strategies were compared: Method A, which prioritized minimizing the starting wind speed, and Method B, which prioritized maximizing the aerodynamic efficiency. Results The simulation results showed that coupling the turbine and the pump directly would effectively meet the community’s water demand. However, the parametric analysis revealed a trade-off between reliability and efficiency; some configurations achieved a water demand fulfillment rate of up to 99.7%, while others reached a peak efficiency of 37%, which were associated with varying design constraints. When using Method B to balance performance metrics, the optimal configuration achieved 89.6% demand fulfillment and 32% efficiency with a compact 2.3 m turbine radius. The sensitivity analysis further revealed that the reliability of the system is most sensitive to the sizing of the hydraulic load, particularly the diameter of the pipeline and the design speed of the pump. Conclusions This study confirms that mechanical wind pumping systems are a viable, sustainable solution for off-grid water distribution. The developed model provides a valuable planning tool that helps engineers and policymakers size and optimize the infrastructure in remote areas for potential agricultural and mixed-use applications.

Energy Sustainability and SocietyVol. 16(1)
Mansoura University (EG)
Mansoura University
Industry, innovation and infrastructure
Openalex Percentile: Top 33%
Cavitation Phenomena in Pumps
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.