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System-level optimisation of hybrid energy powered irrigation system

Author

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

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.

Suggested Citation

  • Alam, Marzia & Imran, Muhammad & Sultan, Muhammad & Manzoor, Umar & Khan, Zafar A. & Rezk, Ahmed & Alaswad, Abed, 2024. "System-level optimisation of hybrid energy powered irrigation system," Renewable Energy, Elsevier, vol. 234(C).
    • Handle: RePEc:eee:renene:v:234:y:2024:i:c:s0960148124012266
    DOI: 10.1016/j.renene.2024.121158
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