•Genetic Algorithm optimization ability had been utilized to extract parameters of PV panel model.•Effect of solar radiation and temperature variations was taken into account in fitness function ...evaluation.•We used Matlab-Simulink to simulate operation of the PV-panel to validate results.•Different cases were analyzed to ascertain which of them gives more accurate results.•Accuracy and applicability of this approach to be used as a valuable tool for PV modeling were clearly validated.
This paper details an improved modeling technique for a photovoltaic (PV) module; utilizing the optimization ability of a genetic algorithm, with different parameters of the PV module being computed via this approach. The accurate modeling of any PV module is incumbent upon the values of these parameters, as it is imperative in the context of any further studies concerning different PV applications. Simulation, optimization and the design of the hybrid systems that include PV are examples of these applications. The global optimization of the parameters and the applicability for the entire range of the solar radiation and a wide range of temperatures are achievable via this approach. The Manufacturer’s Data Sheet information is used as a basis for the purpose of parameter optimization, with an average absolute error fitness function formulated; and a numerical iterative method used to solve the voltage-current relation of the PV module. The results of single-diode and two-diode models are evaluated in order to ascertain which of them are more accurate. Other cases are also analyzed in this paper for the purpose of comparison. The Matlab–Simulink environment is used to simulate the operation of the PV module, depending on the extracted parameters. The results of the simulation are compared with the Data Sheet information, which is obtained via experimentation in order to validate the reliability of the approach. Three types of PV modules, using different technologies, are tested for the purpose of this validation, and the results confirm the accuracy and reliability of the approach developed in this study. The effectiveness of the model developed by this approach to predict the performance of the PV system under partial shading conditions was also validated.
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GEOZS, IJS, IMTLJ, KISLJ, NUK, OILJ, SAZU, SBCE, UL, UM, UPCLJ, UPUK
► We analyzed solar data in the location under consideration. ► We developed a program to simulate the operation of the PV-diesel generator hybrid system. ► We analyzed different scenarios to select ...and design the optimal system. ► It is cost effective to power houses in remote areas with such hybrid systems. ► The hybrid system had lower CO2 emissions compared to a diesel generator only operation.
A techno-economic analysis and the design of a complete hybrid system, consisting of photovoltaic (PV) panels, a battery system and a diesel generator as a backup power source for a typical Malaysian village household is presented in this paper. The specifications of the different components constructing the hybrid system were also determined. A scenario depending on a standalone PV and other scenario depending on a diesel generator only were also analyzed. A simulation program was developed to simulate the operation of these different scenarios. The scenario that achieves the minimum cost while meeting the load requirement was selected. The optimal tilt angle of the PV panels in order to increase the generated energy was obtained using genetic algorithm. In addition, sensitivity analysis was undertaken to evaluate the effect of change of some parameters on the cost of energy. The results indicated that the optimal scenario is the one that consists of a combination of the PV panels, battery bank and a diesel generator. Powering a rural house using this hybrid system is advantageous as it decreases operating cost, increases efficiencies, and reduces pollutant emissions.
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GEOZS, IJS, IMTLJ, KISLJ, NUK, OILJ, SAZU, SBCE, UL, UM, UPCLJ, UPUK
COVID-19, is a disease resulting from the SARS-CoV-2 global pandemic. Due to the current global emergency and the length of time required to develop specific antiviral agent(s) and a vaccine for ...SARS-CoV-2, the world health organization (WHO) adopted the strategy of repurposing existing medications to treat COVID-19. Iron oxide nanoparticles (IONPs) were previously approved by the US food and drug administration (FDA) for anemia treatment and studies have also demonstrated its antiviral activity in vitro. Therefore, we performed a docking study to explore the interaction of IONPs (Fe2O3 and Fe3O4) with the spike protein receptor binding domain (S1-RBD) of SARS-CoV-2 that is required for virus attachment to the host cell receptors. A similar docking analysis was also performed with hepatitis C virus (HCV) glycoproteins E1 and E2. These studies revealed that both Fe2O3 and Fe3O4 interacted efficiently with the SARS-CoV-2 S1-RBD and to HCV glycoproteins, E1 and E2. Fe3O4 formed a more stable complex with S1-RBD whereas Fe2O3 favored HCV E1 and E2. These interactions of IONPs are expected to be associated with viral proteins conformational changes and hence, viral inactivation. Therefore, we recommend FDA-approved-IONPs to proceed for COVID-19 treatment clinical trials.
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GEOZS, IJS, IMTLJ, KILJ, KISLJ, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UILJ, UL, UM, UPCLJ, UPUK, ZAGLJ, ZRSKP
Membrane separation processes have become an emerging technology for the treatment of oily wastewater due to high oil removal efficiency and relatively facile operational process. This review will ...highlight the recent development of advanced membrane technology such as surface modification, addition of inorganic particles in polymer membrane and the development of ceramic membranes. Additionally, the effect of operating parameters on the membrane performance is discussed in detail. Future outlooks in oil–water membrane separation are also discussed to further broaden the research and development related to this technology.
•Chemical composition and effects of oily wastewater•Polymeric and ceramic membrane for wastewater oily treatment•Effect of surface modification and effect of operating parameters of the membrane performance•Combined systems with membrane separation and future outlook for removal of oily wastewater
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•Solar data was analyzed in the location under consideration.•A program was developed to simulate operation of the PV hybrid system.•Genetic algorithm was used to optimize the sizes of the hybrid ...system components.•The costs of the pollutant emissions were considered in the optimization.•It is cost effective to power houses in remote areas with such hybrid systems.
A sizing optimization of a hybrid system consisting of photovoltaic (PV) panels, a backup source (microturbine or diesel), and a battery system minimizes the cost of energy production (COE), and a complete design of this optimized system supplying a small community with power in the Palestinian Territories is presented in this paper. A scenario that depends on a standalone PV, and another one that depends on a backup source alone were analyzed in this study. The optimization was achieved via the usage of genetic algorithm. The objective function minimizes the COE while covering the load demand with a specified value for the loss of load probability (LLP). The global warming emissions costs have been taken into account in this optimization analysis. Solar radiation data is firstly analyzed, and the tilt angle of the PV panels is then optimized. It was discovered that powering a small rural community using this hybrid system is cost-effective and extremely beneficial when compared to extending the utility grid to supply these remote areas, or just using conventional sources for this purpose. This hybrid system decreases both operating costs and the emission of pollutants. The hybrid system that realized these optimization purposes is the one constructed from a combination of these sources.
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GEOZS, IJS, IMTLJ, KISLJ, NUK, OILJ, SAZU, SBCE, UL, UM, UPCLJ, UPUK
Background Sutureless self-expandable aortic bioprostheses rely on radial forces for stabilization, raising concern that these devices may increase the risk of postoperative conduction disease. The ...purpose of this study was to determine the incidence of conduction disorders after sutureless aortic valve replacement (AVR) with the Perceval S (Sorin Group, Saluggia, Italy) bioprosthesis. Methods Between June 2011 and March 2013, 108 consecutive patients underwent sutureless AVR with the Perceval S prosthesis. Six patients (6%) had a permanent pacemaker (PPM) preoperatively and were excluded from the present study. Mean electrocardiographic follow-up was 14.6 ± 6.0 months. Results Mean age was 79.2 ± 4.8 years (52% female). During the postoperative period, 34 patients (34%) had first-degree atrioventricular block, 2 (2%) had Mobitz-II atrioventricular block, and 16 (16%) had complete atrioventricular block. New-onset left bundle branch block and right bundle branch block were observed in 33 patients (33%) and 22 patients (22%), respectively. Inhospital postoperative PPM implantation was required in 23 patients (23%). Preoperative aortic valve area, age more than 85 years, and preoperative right bundle branch block were found to be independently associated with inhospital PPM implantation or new-onset postoperative conduction disorder. At follow-up, 3 more patients (3%) underwent PPM implantation. The cumulative incidences of PPM dependency and ventricular pacing more than 25% of the time were 18% ± 11% and 21% ± 10%, respectively, at 18 months. Conclusions In the present study, the postoperative PPM implantation rate (23%) after sutureless AVR with the Perceval S prosthesis was high. Surgical strategies aimed at mitigating this risk should be further investigated.
The quinoxaline scaffold is a promising platform for the discovery of active chemotherapeutic agents. Three series of quinoxaline derivatives were synthesized and biologically evaluated against three ...tumor cell lines (HCT116 human colon carcinoma, HepG2, liver hepatocellular carcinoma and MCF-7, human breast adenocarcinoma cell line), in addition to VEGFR-2 enzyme inhibition activity. Compounds
,
,
,
and
exhibited promising activity against the tested cell lines and weak activity against VEGFR-2. Compound
induced a significant disruption in the cell cycle profile and cell cycle arrest at the G2/M phase boundary. In further assays, the cytotoxic effect of the highly active compounds was determined using a normal Caucasian fibroblast-like fetal lung cell line (WI-38). Compound
could be considered as a lead compound that merits further optimization and development as an anti-cancer and an apoptotic inducing candidate against the HCT116 cell line.
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IZUM, KILJ, NUK, PILJ, PNG, SAZU, UL, UM, UPUK
Epidermal growth factor receptor (EGFR) signaling pathway has been previously investigated for its significant role in the progression of different types of malignant tumors, where development of ...small molecules targeting EGFR is well known strategy for design of antitumor agents. Herein, we report the design and synthesis of two series of 6-(2-substitutedacetamido)-4-anilinoquinazolines (6a-x and 13a-d) as EGFR inhibitors. All the newly synthesized quinazoline derivatives were in vitro evaluated for their anti-proliferative activity towards MCF-7 (Breast Cancer) and HepG2 (Hepatocellular carcinoma) cell lines. In particular, compound 6n showed significant inhibitory activity against MCF-7 and HepG2 cell lines (IC50 = 3 and 16 μM, respectively), compared to that of Erlotinib (IC50 = 20 and 25 μM, respectively). Western blotting of 6n at MCF-7 cell line revealed the dual inhibitory activity of 6n towards diminishing the phosphorylated levels for EGFR and ERK. Also, ELISA assay confirmed the anti-EGFR activity of compound 6n (IC50 = 0.037 μM). Finally, a molecular docking study showed the potential binding mode of 6n within the ATP catalytic binding site of EGFR, exhibiting similar binding mode to EGFR inhibitor Erlotinib.
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•Two different sets of 6-(2-substitutedacetamido)-4-anilinoquinazolines were synthesized.•Anti-proliferative activity was examined against two EGFR-expressing cancer cell lines.•ELISA assay confirmed the anti-EGFR activity of compound 6n (IC50 = 0.037 μM).•Western blotting in MCF-7 revealed the dual inhibitory activity of 6n towards EGFR and ERK.•Binding affinity of 6n towards the ATP binding site of EGFR was suggested by docking study.
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GEOZS, IJS, IMTLJ, KILJ, KISLJ, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UL, UM, UPCLJ, UPUK, ZRSKP
The strengthening of electric energy security and the reduction of greenhouse gas emissions have gained enormous momentum in previous decades. The integration of large-scale intermittent renewable ...energy resources (RER) like wind energy into the existing electricity grids has increased significantly in the last decade. However, this integration poses many operational and control challenges that hamper the reliable and stable operation of the grids. This article aims to review the reported challenges caused by the integration of wind energy and the proposed solutions methodologies. Among the various challenges, the generation uncertainty, power quality issues, angular and voltage stability, reactive power support, and fault ride-through capability are reviewed and discussed. Besides, socioeconomic, environmental, and electricity market challenges due to the grid integration of wind power are also investigated. Many of the solutions used and proposed to mitigate the impact of these challenges, such as energy storage systems, wind energy policy, and grid codes, are also reviewed and discussed. This paper will assist the enthusiastic readers in seeing the full picture of wind energy integration challenges. It also puts in the hands of policymakers all aspects of the challenges so that they can adopt sustainable policies that support and overcome the difficulties facing the integration of wind energy into electricity grids.
Membrane separation processes based on mixed matrix membrane (MMMs) comprising carbon nanotubes (CNTs) embedded in polymer matrix have become one of the emerging technologies and have been actively ...discussed in contemporary membrane separation literature. The resulting carbon nanotube-mixed matrix membrane (CNT-MMMs) offers a viable route to overcome the limitations demonstrated by the conventional polymeric and inorganic membranes. The exceptional properties of CNTs make them suitable for the development of this new class of hybrid membrane and it is believed to open the road towards the practical applications. In particular, the unusually excellent diffusivity properties of CNT have promised their use in separation processes. This paper reviews the recent and current development of CNT-MMMs for membrane separation. The preparation and modification of this material is also briefly discussed. This is followed by a detailed description of various separation processes, including pervaporation, liquid and gas separation. Furthermore, the future direction and perspective in research for the application of CNT-MMMs has also been briefly outlined.
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GEOZS, IJS, IMTLJ, KILJ, KISLJ, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UL, UM, UPCLJ, UPUK, ZRSKP
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