Development of a Coated-Micro-Particle Neutron Detector Based on LiF/ZnS Scintillator

6LiF:ZnS(Ag) micro-particle neutron detectors are a promising technology to further improve neutron detection capabilities for a variety of applications. Specifically, we have been investigating 6LiF micro-particles coated with ZnS(Ag) to increase the neutron detection efficiency, light production, and light collection efficiency when compared to the existing powder-based technology (EJ-426 from Eljen Technology). Extensive radiation and light transport simulations with single micro-particles have been performed to find the optimal 6LiF diameter and ZnS(Ag) coating thickness. Full-scale multi-particle simulations also have been performed to determine the optimal pitch (particle-to-particle distance) and detector thickness. Randomizations of 6LiF radius, ZnS(Ag) coating thickness, position of particles, as well as shape of particles and partial coating have been performed to account for possible manufacturing imperfections. EJ-426 sheets have been modeled for reference purposes by defining spherical grains of 6LiF and ZnS(Ag) and compared against experiments. The simulation results show that the coated micro-particles should dramatically increase the neutron detection efficiency, light production, and light collection efficiency when compared to the existing EJ-426 technology

Development of a Coated-Micro-Particle Neutron Detector Based on LiF/ZnS Scintillator

6LiF:ZnS(Ag) micro-particle neutron detectors are a promising technology to further improve neutron detection capabilities for a variety of applications. Specifically, we have been investigating 6LiF micro-particles coated with ZnS(Ag) to increase the neutron detection efficiency, light production, and light collection efficiency when compared to the existing powder-based technology (EJ-426 from Eljen Technology). Extensive radiation and light transport simulations with single micro-particles have been performed to find the optimal 6LiF diameter and ZnS(Ag) coating thickness. Full-scale multi-particle simulations also have been performed to determine the optimal pitch (particle-to-particle distance) and detector thickness. Randomizations of 6LiF radius, ZnS(Ag) coating thickness, position of particles, as well as shape of particles and partial coating have been performed to account for possible manufacturing imperfections. EJ-426 sheets have been modeled for reference purposes by defining spherical grains of 6LiF and ZnS(Ag) and compared against experiments. The simulation results show that the coated micro-particles should dramatically increase the neutron detection efficiency, light production, and light collection efficiency when compared to the existing EJ-426 technology

Synthesis and A Suggestion Mechanism on Biological Evaluation of Amino Acid-Schiff Base Ligands and Co(II), Cu(II) and Ni(II) Complexes

This study aimed to investigate of the antimicrobial activities of some amino acid-Schiff bases complexes as theoretical aspects. Co(II), Cu(II) and Ni(II) complexes of N, N'-(1,4-phenylenedimetiliden) bis DL-Alanine and N, N'-(1,4-phenylendimetiliden) bis DL-Glisine were been prepared and characterized. The antibacterial and antifungal activities were measured by Disc diffusion and MIC method against gram-positive bacteria i. e. Psydomamonas aeruginosa ATCC 29212, Bacillus subtilis RSKK 244, Bacillus megaterium(clinical isolate), gram-negative bacteria Micrococcus Luteus NRRLB and as fungus Candida albicans. The antibiogram tests of amino acid-Schiff bases complexes showed better results than some known antibiotics. Especially Cu(II) complexes were more potent bacteridal than all of the substances synthesized. Furthermore a mechanism of reaction was offered in the explanation of these observation. Some of the compounds exhibited activity comparable to Ketoconazole, Ampicillin, Tetracycline, Penicillin, Gentamisin and Chloroamphenicol.Gazi University Scientific Research FundGazi University [05/2007-02, 05/2010-03]The authors thank to the Gazi University Scientific Research Fund (Project number: 05/2007-02 and 05/2010-03) for the financial support provided for this study and Ozge Cicek, Esra Yildirim, Yasemin Sahin and Refiye Tekiner for carryings out laboratory studies

Adaptation of Renewable Based Power Plants to the Energy Market Using Battery Energy Storage Systems

This paper presents a method for the adaptation of a wind power plant to the energy market using battery energy storage systems (BESS) to show the feasibility of using fast-response batteries, and to calculate its payback period. The proposed method is also used to investigate the optimum battery size according to the installed capacity of the wind farm based on the price and wind forecast, and arbitrage opportunity so as to maximize the profit of the investor. The profit obtained from the market by the battery storage system is compared to the profit from the feed-in tariff for every kilowatt-hour of electricity the wind farm exports to the grid. In this research work, iterative computational-based optimization algorithm is applied to determine hourly charge/discharge commitment of the battery. A case study is conducted for a real wind power generation station in Turkey whose installed capacity is 15 MW. The simulation results show that the proposed algorithm considerably increases the profit and provides an acceptable payback period