Abstract
The utilization of renewable energy to run desalination plants has enormously expanded in the last two decades. In this study, a grid-connected hybrid solar-wind system is proposed to power a small-scale Reverse Osmosis (RO) desalination unit. In a case study, the system's performance has been analyzed under the weather conditions of the Eastern Province, Saudi Arabia. A numerical model has been developed based on a mixed-integer linear programming (MILP) approach to design and size the proposed system. The developed model is solved on an hourly basis to capture hourly variations of weather conditions with the aim to obtain an efficient design to operate the RO plant and supply freshwater to a small community living in a remote area at minimum cost. The developed model allows finding the optimal number of wind turbines, the number of photovoltaic (PV) modules, and the energy purchased from the national grid. Since the desalination energy consumption depends on the feed water conditions, two energy consumption rates are considered, namely, 2 and 4 kWh/m3. The results show that brackish water can be purified for the two different energy requirements at a cost varying between 1.72 and 1.84 $/m3, respectively.
Original language | English |
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Pages (from-to) | 295-306 |
Number of pages | 12 |
Journal | Renewable Energy |
Volume | 178 |
DOIs | |
State | Published - Nov 2021 |
Bibliographical note
Publisher Copyright:© 2021 Elsevier Ltd
Keywords
- Hybrid power system
- Mixed-integer linear programming
- Optimization
- RO desalination Unit
- Solar energy
- Wind energy
ASJC Scopus subject areas
- Renewable Energy, Sustainability and the Environment