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Updated: Jun 22, 2025

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Published on: December 9, 2012

Advancing gasoline desulfurization: Multi-objective fuzzy optimization in systems technology.

Stephen S Correa¹, Kate Andre T Alviar¹, Angel Nicole V Arbilo¹

¹Department of Chemical Engineering, De La Salle University, 2401 Taft Ave, Manila, 0922, Philippines.

|July 4, 2024

Summary

Ultrasonic-assisted oxidative desulfurization (UAOD) optimizes gasoline cleaning by balancing efficiency and cost. This method offers a viable, cost-effective approach for industrial applications.

Keywords:

Gasoline Multi-objective fuzzy optimization Pareto frontier Response surface methodology Ultrasonic assisted oxidative desulfurization ε-constraint

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Design and Use of a Full Flow Sampling System FFS for the Quantification of Methane Emissions

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Published on: June 12, 2016

Area of Science:

Environmental Chemistry
Chemical Engineering

Background:

Sulfur emissions from fuels cause environmental issues.
Ultrasonic-assisted oxidative desulfurization (UAOD) is a promising technique for sulfur removal.
Previous studies focused on response surface methodology for UAOD effectiveness.

Purpose of the Study:

Evaluate UAOD efficiency and operating costs for gasoline desulfurization.
Determine optimal operating conditions using a multi-objective fuzzy optimization (MOFO) approach.
Assess the economic viability of UAOD for gasoline.

Main Methods:

Employed a multi-objective fuzzy optimization (MOFO) approach.
Utilized max-min aggregation for fuzzy model optimization.
Identified optimal conditions: 445.43 W ultrasonic power, 4.74 min irradiation time, 6.73 mL oxidant.

Main Results:

Achieved 78.64% desulfurization efficiency (Y_A) at an operating cost of 13.49 USD/L.
Reached a 66.79% satisfaction level under optimal conditions.
Demonstrated lower efficiency and cost compared to existing literature.

Conclusions:

MOFO provides a viable economic solution for gasoline desulfurization.
Optimized conditions simplify process and reduce operating costs.
Offers insights for future industrial-scale UAOD implementation.