Fuzzy Optimization for the Remediation of Ammonia: A Case Study Based on Electrochemical Oxidation

Angelo Earvin Sy Choi, Benny Marie B. Ensano and Jurng-Jae Yee
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Angelo Earvin Sy Choi: Chemical Engineering Department, De La Salle University, 2401 Taft Avenue, Manila 0922, Philippines
Benny Marie B. Ensano: University Core Research Center for Disaster-free and Safe Ocean City Construction, Dong-A University, Busan 49315, Korea
Jurng-Jae Yee: Department of Architectural Engineering, Dong-A University, Busan 49315, Korea

IJERPH, 2021, vol. 18, issue 6, 1-17

Abstract: This case study covers the application of the fuzzy optimization in simultaneously satisfying various constraints that include the compliance of ammonia and nitrate concentrations with stringent environmental standards. Essential components in the multi-criteria decision-making analysis is in the utilization of the Box-Behnken design (BBD) response equations, cost equations and the cumulative uncertainty of response towards the sodium chloride dosage, current density and electrolysis time parameters. The energy consumption in the electrochemical oxidation of ammonia plays an essential role in influencing the total operating cost analysis. The determination of boundary limits based on the global optimum resulted in the complete ammonia removal and USD 64.0 operating cost as its maximum boundary limits and the 40.6% ammonia removal and USD 17.1 as its minimum boundary limits. Based on the fuzzy optimal results, the overall satisfaction level incurred a decrease in adhering with a lower ammonia standard concentration (10 mg/L at 80.3% vs. 1.9 mg/L at 76.1%) due to a higher energy consumption requirement. Global optimal fuzzy results showed to be highly cost efficient (232.5% lower) as compared to using BBD alone. This demonstrates the practicality of fuzzy optimization applications in the electrochemical reactions.

Keywords: ammonia; electrochemical oxidation; fuzzy optimization; energy consumption; operational cost (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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