Abstract
This paper presents a new software tool for the optimal sizing of an autonomous hybrid system combining photovoltaic, wind, and hydrogen sources, designed to power a seawater desalination unit. Using an iterative optimization strategy, the tool identifies the most cost-effective hybrid system configuration that reliably meets freshwater demand year-round. Compared with conventional hybrid energy system sizing tools, the proposed software provides an automated optimization framework that improves decision-making efficiency, reduces design complexity, and enables rapid evaluation of multiple system configurations while maintaining competitive techno-economic performance. The software integrates cybersecurity mechanisms to ensure the protection of sensitive project data. Its user-friendly interface offers a clear and structured visualization of all stages in the system sizing process. Users input relevant meteorological and technical parameters. After simulation, the tool generates multiple configurations and automatically selects the optimal solution, displayed in a dedicated results window. A case study conducted on a desalination unit in Bekalta (Monastir) demonstrates the tool’s effectiveness. The optimal configuration consists of a 200 kW wind turbine, 750 PV panels, a 77.5 kW fuel cell, and a 75 kW electrolyzer, achieving the lowest total project cost ($2,688,847), with a Levelized Cost of Energy of $0.194/kWh and a Levelized Cost of Hydrogen of $14.225/kg. This software provides a secure, integrated, and efficient solution for renewable-powered desalination systems, adaptable to various geographic and climatic contexts, thereby supporting sustainable water production.