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        Experimental and theoretical investigation of aqueous and methanolic extracts of <i>Prunus dulcis</i> peels as green corrosion inhibitors of mild steel in aggressive chloride media

        Pal, Shweta,Lgaz, Hassane,Tiwari, Preeti,Chung, Ill-Min,Ji, Gopal,Prakash, Rajiv Elsevier 2019 Journal of molecular liquids Vol.276 No.-

        <P><B>Abstract</B></P> <P> <I>Prunus dulcis</I> (almond) is one of the most commonly ingested dry fruits by peoples in their routine diet plan due to its high nutrition content. However, almond peels are not eaten and thrown as a waste material. The reason is that the peels are not easily digested in human body due to its low solubility in aqueous medium. Also, the peels contain low amount of cyanides. Surprisingly, almond peels also contain various active bio-compounds which have not been explored properly for any industrial purpose. With the idea of utilizing a waste material and checking solution dependability, the aqueous and methanolic extracts of almond peels have been prepared and investigated by experimental techniques and theoretical tools. The protection efficiency of the extracts in reduction of mild steel (MS) dissolution in 0.1 M HCl has been determined by electrochemical methods (impedance analysis and polarization behavior). The results shows that methanolic and aqueous extracts avert 93% and 85% mild steel loss respectively, which portray that methanolic extract is more effective than aqueous extract. This fact is supported by the surface analysis of mild steel samples done by HRSEM and AFM. UV–vis and FTIR spectroscopy analysis reveals the reason that methanol can extract more phytochemcial constituents of almond peels than water. The free energies of adsorption (ΔG°) for both extract's molecules have been determined based on adsorption coefficient (K<SUB>ads</SUB>) obtained from Langmuir isotherm fitting of inhibition data, which suggest that adsorption is neither pure physical nor pure chemical, i.e., mixed type. DFT modeling and Monte carlo simulation techniques are also explored to investigate theoretical adsorption and inhibition characteristics of the molecules, which supports the interpretation of the experimental results.</P> <P><B>Highlights</B></P> <P> <UL> <LI> Almond peels are used for mild steel protection in 0.1 M HCl. </LI> <LI> Methanolic and aqueous extracts of peel provide maximum efficiency of 93% and 85%, respectively. </LI> <LI> UV–vis and FTIR study show that all constituents of peels are present in methanolic extract only. </LI> <LI> Electrochemical investigations suggest a protective barrier formation between steel and HCl. </LI> <LI> Adsorption behaviour of the constituents is also studied by DFT and Monte Carlo simulations. </LI> </UL> </P> <P><B>Graphical abstract</B></P> <P>[DISPLAY OMISSION]</P>

      • Optimal Placement of SVC Incorporating Installation Cost

        Ankit Kumar Sharma,Akash Saxena,Rajive Tiwari 보안공학연구지원센터 2016 International Journal of Hybrid Information Techno Vol.9 No.8

        As the FACTS controllers are an inequitable part of power system due to their fast and very flexible control. With the enhancement of FACTS technology, their role in the marginal cost determination should be considered taking their cost function into account. The aim of this paper is to compare the optimal performance of static VAR compensator (SVC) in voltage stability enhancement problem. During last decade, FACTS devices are broadly used for maximizing the margin of voltage stability and loadability of existing power system transmission networks. To get the optimal system, cost analysis might be necessary. In the cost analysis of SVC, authors analyzed the installation cost of SVC devices in USD, the cost of SVC in USD/KVAR and the average value of installation cost for given systems. Here, the voltage stability enhancement problem is solved applying Gravitational Search algorithm incorporating SVC. The following conditions are investigated with the incorporation of SVC: the role of SVC for improving the voltage profile, loss minimization and the approximate analysis on cost recovery and payback period with SVC in voltage stability enhancement problem. With this motivation, the location of SVC is finalized through weak bus identification methods. Voltage stability indices namely Fast Voltage Stability Index (FVSI) is utilized to identify weak buses in the systems. For calculation of the Size of SVC, an optimization routine Gravitational Search Algorithm (GSA) is established. The main purpose of optimization is to minimize the FVSI. The proposed approach has been tested on three standard IEEE bus systems with different loading scenarios. General Terms: Flexible AC Transmission System (FACTS), Marginal Cost, Voltage Stability Assessment, Static VAR Compensators.

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