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The aim of this study is to discover the potential use of nutraceutical industrial cumin seed spent (NICUS) as an economical biosorbent for eliminating acid blue 113 (AB113), an azo dye, from water. The study investigates the influence of pH, adsorbent dosage, temperature, particle size, and initial dye concentration on the adsorption of AB113. Various isotherm models and kinetic models were studied. At equilibrium situations, the maximum trial adsorption volume (qe) was found to be 96 mg g−1. The main objective was to determine the suitability of the pseudo-second-order model for describing the kinetics of adsorption. Thermodynamic parameters ΔG0ΔH0ΔS0 revealed that the adsorption process was endothermic and non-spontaneous. The lower value of ΔH0 suggests a physical adsorption process. Analysis using FTIR and SEM spectra confirmed that the NICUS surface effectively adsorbed AB113. NICUS emerges as a promising adsorbent for the efficient deduction of AB113 from aqueous solutions. [ABSTRACT FROM AUTHOR]

Abstract\nNovelty statementThe article details a feasibility study of removing Brilliant Green (BG), a mutagenic dye from an aqueous solution by adsorption using low-cost coriander seed spent as a by-product in the nutraceutical industry. The study includes an analysis of the parameters that affect the adsorption process. The variables that have been identified include pH, dye concentration, process temperature, adsorbent amount, and particle size of the adsorbent. To obtain information on the adsorption process and to design the mechanism of the adsorption system on experimental equilibrium, 10 isotherm models, namely, Langmuir, Freundlich, Jovanovic, Dubinin–Radushkevich, Sips, Redlich–Peterson, Toth, Vieth–Sladek, Brouers–Sotolongo, and Radke–Prausnitz were applied. It was discovered that the experimental adsorption capacity, qe, was roughly 110 mg g−1. The result has a maximum adsorption of 136.17 mg g−1 as predicted by Dubinin–Radushkevich isotherm. Diffusion film models, Dumwald–Wagner and Weber–Morris models, and pseudo-first- and second-order models, were used to determine the adsorption kinetics. It was realized that the adsorption kinetics data fit into a pseudo-second-order model. Thermodynamic analysis with a reduced enthalpy change suggests a physical process. The values of the thermodynamic parameters ΔG0, ΔH0, and ΔS0 demonstrated an endothermic and nearly spontaneous process of adsorption. The small valuation of ΔH0 specifies that the process is physical. FTIR spectroscopy and SEM imaging were used to confirm that the BG dye had been adsorbing on the adsorbent surface. The study concludes that NICSS is an effective adsorbent to extract BG dye from wastewater solutions, offers insights into numerous dye and adsorbent interaction possibilities and indicates that the process can be scaled to fit into the concept of circular economy.An attempt has been made to link the concept of circular economy through design and execution of the experiments in the laboratory scale. The following highlights will justify the newer approach adopted by the authors.The experiments are designed by intention to suit the concept of circular economy.The use of NICSS, a nutraceutical industrial spent, which has no feed, fertilizer, or fuel value suits the sustainability concept.The reuse of “waste” from the remediation process replaces the “end-of-life” concept in circular economy.An attempt has been made to link the concept of circular economy through design and execution of the experiments in the laboratory scale. The following highlights will justify the newer approach adopted by the authors.The experiments are designed by intention to suit the concept of circular economy.The use of NICSS, a nutraceutical industrial spent, which has no feed, fertilizer, or fuel value suits the sustainability concept.The reuse of “waste” from the remediation process replaces the “end-of-life” concept in circular economy. [ABSTRACT FROM AUTHOR]

This research aims to demonstrate that a one-of-a-kind microencapsulated bio-based PCM may be utilized in the passive collection of solar energy in buildings. The research makes use of a PCM with thermal properties within the comfort zone but is also able to track the performance of solar photovoltaic panels. This allows the research to be more accurate. Because of this, the research can produce outcomes that are more accurate. After finishing the step before this one, the next thing that needs to be done is creating novel composite concrete panels. This step follows the completion of the phase before it. The outcomes of the mechanical and thermal tests served as the basis for determining the best composition of the concrete mix that should be used for making this panel. The method concludes with the construction of a test structure using composite walls as the primary building material. [ABSTRACT FROM AUTHOR]

Solar energy measurements are often charted. These charts keep track of the conditions, events, and inspections done on each solar panel. This study describes a paradigm for measuring and monitoring solar energy via the Internet of Things. This service provides monitoring and technical help during corrective inspections within the quality reliability depth services range. These features and monitoring services can provide highly competent, higher-optimization, and excellent services that are safe, fast, and smooth. Compliance with local and international legal regulations, reliability of work, reduction of time and costs spent on corrective inspections, reduction of downtime and production losses, and management of monitoring and testing processes under expert coordination will all benefit from technical support services provided by approved companies for corrective inspections in the company. [ABSTRACT FROM AUTHOR]

Phase change materials (PCMs) are substances that can change their phase at a specific range of temperatures. This is the case in the temperature range and in the event that there is a brief gap between the supply of a particular quantity of energy and the demand for that quantity, these materials come in quite helpful. As a result, heating, ventilation, and air conditioning (HVAC) for the military, as well as waste heat recovery and thermal management. The simulation result of this proposed method is developed using Matlab and Simulink, the user is classified using a fuzzy logic control which helps to improve the energy consumption patterns which are they exhibit. Using this proposed method, we can perform several modes of operations which are toogled between the control, which achieves more amount of greater flexibility, also at same time it helps to reduce the usage of number of switches which are placed between various OM's. This is demonstrated by the fact that the fuzzy logic control is used. Therefore, the developed control logic reveals a promising potential for boosting the energy efficiency. We achieve nearly 85% of accuracy as a result which are very higher than comparing with the several existing methods. [ABSTRACT FROM AUTHOR]

The quantity of photovoltaic systems generated relies on the climate, and to generate significant variations depending on the climatic conditions. Its electricity production processes exhibit unpredictability, instability, and intermittent behavior. The augmented convolutional long-short memory combination network is recommended for PV energy combined forecasting in accordance to overcome the challenge of considerable instability in the high proportion of sustainable energy output. The LSTM and CNN models' training procedure uses the enhanced artificial bee colony (ABC) to adjust their characteristics. To determine the projected model parameters of PV power, the estimated input parameters of every model are stacked and then reassembled. The studies showed that the forecast precision was significantly higher than the reliability rate of the Convolutional LSTM combinational network as well as the forecasting findings from the BP, CNN, and LSTM independent computational methods. This forecast specificity was predicated on the enhanced ABC to optimize the variables of the CLSTM combinational network for forecasting Photo Voltaic power. For comparative study and assessment, the most recent operational data from a Photovoltaic power plant in northern China have been utilized. The suggested technique resolved more quickly and was higher weather-adaptable than the individual neural network and hybrid forecasting models mentioned prior. [ABSTRACT FROM AUTHOR]

The study proposed the removal of Brilliant Green, a cationic dye, by adsorption process from wastewater solution utilizing a low-cost adsorbent such as Nutraceutical Industrial Pepper Seed Spent (NIPSS). The study comprises an investigation of the parametric influence on the adsorption process. The parameters identified are pH, dye concentration, process temperature, quantity of the adsorbent, and particle size. The study of statistics found from experiments was carried out by incorporating Freundlich, Brouers-Sotolongo, Langmuir, Toth, Sips, Jovanovic, and Redlich-Peterson isotherm models. The adsorption kinetics were determined by implementing pseudo-first-order and second-order models, diffusion film models, and Dumwald-Wagner and Weber-Morris models. The experimental adsorption capacity q e was found to be about 130 mg/g. This value was closest to the maximum adsorption of 144.6mg/g predicted by the Brouers-Sotolongo isotherm which had a correlation coefficient (R 2) of 0.998. The adsorption kinetics data was confirmed to be a pseudo-second-order model. The change in free energy, enthalpy change, and entropy change were vital thermodynamic factors in concluding that adsorption is almost spontaneous and endothermic process. Change in enthalpy (ΔH°) reduced value indicates the physical nature of the process. The adsorption of BG dye on the adsorbent surface was authenticated by FTIR spectroscopy and SEM imaging. A Central Composite Design (CCD) Quadratic model under Response Surface Methodology (RSM) was implemented for statistical optimization of adsorption capacity for the five parameters studied, namely, time, temperature, concentration of the dye, weight of the adsorbent, and pH. Software Design Expert 7.0 was used to evaluate 3D contour plots. The process of optimization yielded a value of 350 mg/g. Thus, incrementing the adsorption process by 84.2 %. The study provides insights on various dye and adsorbent interaction possibilities and derives that NIPSS is an efficient adsorbent to extract BG dye from wastewater solutions. [ABSTRACT FROM AUTHOR]

The manufacturing procedures and parameters utilized to manufacture composite significantly change the properties. This study focuses on Hybridized Metal Matrix (HMM) nanocomposite with the influence of Si3N4 and SiC nanoparticles on AA 7075 for its tensile strength and microhardness. The specimen is created using the ultrasonic aided stir casting method, and the effects of processing limitations such as particle weight %, stirrer speed, stirrer duration, and processing temperature on UTS and microhardness are optimized using the ANOVA approach. For the trials, the Taguchi research design based on an orthogonal array L25 is used. This approach is mostly used to frame the structure of parameters to assess the best factor. [ABSTRACT FROM AUTHOR]