Optimizing solarized desalination unit through the implementation of 4-step MED method using energy, exergy, economic...

Area of Science:

• Renewable Energy Engineering
• Water Treatment Technologies
• Process Optimization

Background:

• Thermal desalination plants incur high energy costs, increasing freshwater prices.
• Optimization techniques offer a pathway to reduce energy consumption and production costs.
• Solar energy integration presents a sustainable alternative for desalination.

Purpose of the Study:

• To optimize a solarized Multi-Effect Distillation (MED) desalination unit using a parabolic trough collector (PTC).
• To implement the Non-dominated Sorting Genetic Algorithm II (NSGA II) for process optimization.
• To evaluate the impact of optimization on freshwater production, efficiency, and cost.

Main Methods:

• The study employed the 4-step MED method integrated with a PTC collector.
• The NSGA II optimization algorithm was utilized in MATLAB.
• Exergy and Life Cycle Assessment (LCA) analyses were performed.

Main Results:

• Freshwater flow rate increased to 126.87 (from 116.5), efficiency to 53.6% (from 49.21%), and GOR to 3.66 (from 3.32).
• Optimized energy and exergy efficiencies reached 59.8% and 58%, respectively, enhancing system lifespan by approximately 10%.
• Exergy analysis identified solar collectors and thermal tanks as major sources of exergy destruction (64%).

Conclusions:

• The optimized solarized MED desalination process demonstrates significant improvements in performance and cost-effectiveness.
• The NSGA II algorithm provides an efficient method for optimizing desalination processes.
• LCA indicates a primary impact on human health, highlighting the need to address pollution from collectors and thermal storage.