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Proceedings, 2024, ECP 2024

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Cover Story (view full-size image): ECP 2024: The 3rd International Electronic Conference on Processes—Green and Sustainable Process Engineering and Process Systems Engineering presents the latest studies in [...] Read more.

155 KiB

Open AccessAbstract

Solar-Enhanced Photocatalytic Decontamination of Water from Tetracycline Antibiotics and Its Application in Aquaculture

by Padinchare Veettil Gayathri, Divya Nair and Shijo Joseph

Proceedings 2024, 105(1), 2; https://doi.org/10.3390/proceedings2024105002 (registering DOI) - 28 May 2024

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Abstract

The occurrence of emerging pharmaceutical contaminants, especially antibiotics in water systems is an alarming issue and is addressed using Advanced Oxidation Processes (AOPs). In this study, the degradation of antibiotic tetracycline hydrochloride (TCT) is evaluated using UV and solar light as the source of energy in the presence of semiconductor oxide catalyst ZnO. The results of the removal efficiency of TCT using UV is slightly less than that of solar light. Solar energy as a source of irradiation is economically feasible, follow-up studies is carried out under solar light. Further, the effective solar photocatalytic degradation of TCT in distilled water and aquaculture wastewater is deeply investigated. TCT showed a 62% degradation efficiency in deionized water at the laboratory scale, while aquaculture effluent exhibited 87% degradation efficiency with the ZnO catalyst after 60 min of solar irradiation. The effect of multiple contaminants such as chloroquine (CLQ) and sulphamethoxazole (SMX) on TCT degradation is also investigated. CLQ inhibited the degradation of TCT, whereas SMX did not. The effective operational parameters, such as pH, irradiation time, photocatalyst dosage, the effect of oxidants, the effect of anions, and TCT concentration, were studied consecutively. The pseudo-first-order kinetic model best fit the experimental results (different tetracycline concentrations). Complete COD removal of TCT concentrations is achieved in deionized (≈90 mg/L) and aquaculture wastewater. The catalyst was characterized using SEM, TEM, and XRD images. LC-QTOF analysis was used to identify the intermediates formed during the degradation using a mechanistic pathway. The results suggest the possibility of using inexpensive natural and non-renewable solar energy to purify TCT-contaminated real wastewater, thereby enabling the reuse of scarce water resources. Full article

(This article belongs to the Proceedings of The 3rd International Electronic Conference on Processes—Green and Sustainable Process Engineering and Process Systems Engineering)

127 KiB

Open AccessAbstract

Optimal Power Management and Control of Hybrid Solar–Wind Microgrid Including Storage System

by Nour El Yakine Kouba and Slimane Sadoudi

Proceedings 2024, 105(1), 3; https://doi.org/10.3390/proceedings2024105003 (registering DOI) - 28 May 2024

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Abstract

This paper aims to propose an application of artificial intelligence and nature-inspired optimization algorithms to design an optimal power management and frequency control loop that allows the integration of a large number of distributed generators, such as wind farms and solar PV generators, in isolated and islanded power systems. In addition, the proposed strategy was coordinated with a Hybrid Energy Storage System (HESS) including a redox battery and fuel cells. The HESS was used to support the frequency regulation loop and reduce frequency oscillations during disturbances. An optimal Fuzzy-PID controller was employed to cope with system fluctuation using a recently developed optimization algorithm named Marine Predator Algorithm (MPA). The MPA algorithm was used to optimize the parameters of Fuzzy Logic and the PID controller. Furthermore, the proposed power management method was used to minimize the use of diesel generators by maximizing the participation of wind, PV, and storage systems to satisfy the load. To show the effectiveness and validity of the proposed strategy, various case studies have been simulated and presented in this work. A comparative study between some metaheuristic algorithms such PSO and GA have been carried out. Finally, robustness analyses have been performed in the presence of high-penetration wind farms and solar PV arrays with different load disturbances. Full article

(This article belongs to the Proceedings of The 3rd International Electronic Conference on Processes—Green and Sustainable Process Engineering and Process Systems Engineering)

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Proceedings, 2024, ECP 2024

The 3rd International Electronic Conference on Processes—Green and Sustainable Process Engineering and Process Systems Engineering

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