System-level optimisation of hybrid energy powered irrigation system

Marzia Alam*, Muhammad Imran, Muhammad Sultan, Umar Manzoor, Zafar A. Khan, Ahmed Rezk, Abed Alaswad

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Renewable energy-powered irrigation systems have emerged as sustainable solutions, particularly for farmers in off-grid areas. While existing research often highlights tank storage-based systems as the most cost-effective option, large-scale deployment of water tanks incurs significant costs and maintenance challenges. Additionally, there is limited research on the feasibility and optimisation of battery-based irrigation systems, which are often deemed costly despite their potential benefits. This study addresses this gap by identifying the optimal storage solution for hybrid energy-powered irrigation systems through a system-level optimisation model. The model evaluates the suitability of three storage options: direct-coupled water tank storage, battery-coupled storage, and a hybrid battery-tank storage system. Optimisation criteria include life cycle cost (LCC), loss of power supply probability (LPSP), and loss of load probability (LOLP), ensuring a comprehensive assessment of both cost and reliability. Results indicate that the hybrid battery-tank storage system is the most reliable, followed by battery-only storage, while tank-only storage, despite its lower initial cost, poses scalability and maintenance challenges. The LCC over a 25-year project lifetime is £31 k for battery-tank, £26 k for battery-only, and £23.3 k for tank-only systems. Despite the lower cost of tank storage, its complexity and maintenance make it the least preferred option for large-scale systems.

Original languageEnglish
Article number121158
Number of pages13
JournalRenewable Energy
Volume234
Early online date10 Aug 2024
DOIs
Publication statusE-pub ahead of print - 10 Aug 2024

Bibliographical note

Copyright © 2024 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (https://creativecommons.org/licenses/by/4.0/).

Keywords

  • Cost
  • Irrigation
  • Optimisation
  • Renewable energy
  • System-level model

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