Deep Learning Model on Energy Management in Grid-Connected Solar Systems

Because of increased electricity consumption and the inherent limitations of fossil fuel ability to replenish themselves in the future, a shift to renewable energy sources is unavoidable. Although renewable energy sources are afflicted by intermittency, this problem can be alleviated by combining them with other sources of electricity. As a result of the above situation, the secondary source will take over if the primary source is unable to match the load demand. In this paper, we develop a hybrid renewable source that is connected with grids in an optimal way for the prediction of energy using an energy management system (EMS). The study is aimed at optimal handling of energy production, grid interaction, and the storage system, all of which must be accomplished simultaneously. The current state information from the battery, as well as control objectives, is used in this study to design control actions that maximise the amount of electricity injected into the grid. During the prediction window, it is assumed that the control inputs received at the start of the window will remain consistent throughout the duration of the window. The results of RMSE show errors lesser than 0.3% that shows improved rate of accuracy using EMS

Pharmaceutical electrochemistry: the electrochemical detection of aspirin utilising screen printed graphene electrodes as sensors platforms.

A sensitive electrochemical sensor was designed for acetyl salicylic acid detection using graphene modified Screen Printed Electrodes. The electrochemical response of the sensor with graphene was improved compared to Screen Printed Electrodes without graphene and displayed an excellent analytical performance for the detection of acetyl salicylic acid. The high acetyl salicylic acid loading capacity on the electrode surface and the outstanding electric conductivity of graphene were also discussed in this manuscript. When a range of different concentrations of acetyl salicylic acid from 0.1 to 100 μM into a pH 4 buffer solution (N defined as the sample size N = 9) were plotted against the oxidation peak a linear response was observed. The detection limit was found to be 0.09 μM based on (3-σ/slope). Screen Printed Graphene electrodes sensors methodology is shown to be useful for quantifying low levels of acetyl salicylic acid in a buffer solution as well as in biological matrixes such as human oral fluid. A linear response was obtained over a range of concentrations from 10 to 150 μM into a human oral fluid solution (N = 10) giving a detection limit of 8.7 μM

Lead-borate glass system doped with Sm3+ ions for the X-ray shielding applications

The impact of varying Sm2O3 content on radiation shielding properties of 15PbF2: (65-x) B2O3: 20K2O:xSm2O3 (where 0 ≤ x ≤ 1.5 mol %) glass samples, was investigated by studying their physical, radio-luminescence and X-ray-shielding characteristics. The density of glasses increased with an increase in Sm2O3 contents. Evaluating the X-ray shielding parameters like mass and linear attenuation coefficients, half- and tenth- value layer, lead equivalent thickness and mean free path, it was found that the linear and mass attenuation coefficients decrease with a rise in Sm3+ concentration in the 70–120-kVp-energy range. The half- and tenth-value layers of the developed glasses increase with increasing energy and vary randomly with changing Sm2O3 contents. Comparing the determined HVL data with that of the concrete, red brick, commercial window, and X-ray window at 120 keV, it is found that the developed glass performs better shielding. The obtained results revealed that this glass has excellent potential and could be used as a radiation-shielding material in various applications

Dinuclear uranium(vi) salen coordination compound: An efficient visible-light-active catalyst for selective reduction of CO2to methanol

A new dinuclear uranyl salen coordination compound, [(UO2)2(L)2]·2MeCN [L = 6,6′-((1E,1′E)-((2,2-dimethylpropane-1,3-diyl)bis(azaneylylidene))-bis(methaneylylidene))bis(2-methoxyphenol)], was synthesized using a multifunctional salen ligand to harvest visible light for the selective photocatalytic reduction of CO2 to MeOH. The assembling of the two U centers into one coordination moiety via a chelating-bridging doubly deprotonated tetradentate ligand allowed the formation of U centers with distorted pentagonal bipyramid geometry. Such construction of compounds leads to excellent activity for the photocatalytic reduction of CO2, permitting a production rate of 1.29 mmol g-1 h-1 of MeOH with an apparent quantum yield of 18%. Triethanolamine (TEOA) was used as a sacrificial electron donor to carry out the photocatalytic reduction of CO2. The selective methanol formation was purely a photocatalytic phenomenon and confirmed using isotopically labeled 13CO2 and product analysis by 13C-NMR spectroscopy. The spectroscopic studies also confirmed the interaction of CO2 with the molecule of the title complex. The results of these efforts made it possible to understand the reaction mechanism using ESI-mass spectrometry

Determination of Free Fatty Acids in Cheese by Means of Matrix Solid-Phase Dispersion Followed by Ultra-High Performance Liquid Chromatography and Tandem Mass Spectrometry Analysis

Cheese as milk derivate plays a key role in our diet due to their nutritional and functional properties; free fatty acids (FFAs) and especially conjugated linoleic acids (CLAs) represent important healthy components in a dairy matrix. In this study, with the aim to detect FFAs in dairy products, we have developed a fast and accurate analytical protocol based on a matrix solid-phase dispersion (MSPD) extraction followed by ultra-high performance liquid chromatography-tandem mass spectrometry (UHPLC-MS/MS) analysis. The proposed method provides a rapid and selective sample pretreatment and a reliable instrumental analysis. The use of MSPD extraction with a suitable dispersing phase as C18, allowed the retention of triglycerides, which are the main cause of interference and matrix effect in this type of analysis and permits a selective elution of the FFAs. The whole method was validated demonstrating the feasibility of the proposed method: correlation coefficients greater than 0.99 were obtained for all analytes; matrix effects were minimized and recoveries ranged between 75 and 105%, with good reproducibility (≤ 12%)