A Benders decomposition algorithm for a multi-area,multi-stage integrated resource planning in power systems

The aim of this paper is to propose an integrated model for resource planning in power systems by taking into account both supply and demand sides options simultaneously. At supply-side, investment in generation capacity and transmission lines is considered. Demand side management (DSM) technologies are also incorporated to correct the shape of the load duration curve in terms of peak clipping and load shifting programmes. A mixed integer non-linear programming model is developed to find the optimal location and timing of electricity generation/transmission as well as DSM options. To solve the resulting complex model, nonlinearity caused by transmission loss terms are first eliminated using the piecewise linearization technique. Then, a Benders decomposition (BD) algorithm is developed to solve the linearized model. The performance of the proposed BD algorithm is validated via applying it to the 6-bus Garver test system and a modified 21-bus IEEE reliability test system.     

-Measurement of the proton's electric to magnetic form factor ratio from 1H(over -->)(e(over -->),e'p)

We report the first precision measurement of the proton electric to magnetic form factor ratio from spin-dependent elastic scattering of longitudinally polarized electrons from a polarized hydrogen internal gas target. The measurement was performed at the MIT-Bates South Hall Ring over a range of four-momentum transfer squared Q2 from 0.15 to 0.65 (GeV/c)(2). Significantly improved results on the proton electric and magnetic form factors are obtained in combination with existing cross-section data on elastic electron-proton scattering in the same Q2 region.     

Optimization of the separation of chlorophenols with stepwise gradient elution in reversed phase liquid chromatography

An optimization technique based on gradient elution was used to separate eleven chlorophenols by reversed phase liquid chromatography. The separation was based on gradient elution with a stepwise variation pattern of the volume fraction of organic modifier, phi, in the mobile phase. Initially, two-, three-, and four-parameter equations which describe the dependence of ln k' upon phi, were examined for their ability to fit the experimental data. It was found that, among these equations, the four-parameter equation gave the best fit of the experimental data. In addition to separation optimization, a non-linear least squares program with a grid search for initial estimates was used to determine the best variation pattern. The best variation pattern was obtained with phi(1)= 0.27, phi(2)= 0.39, phi(3)= 0.62, t(1) = 33 min, and t(2) = 11 min. This pattern allowed the chromatographic separation of the chlorophenols with a good resolution and a total analysis time of 51 min. Good agreement was observed between predicted and experimental values of the retention times under optimal condition.     

Mononuclear zinc(II) complex with 2,3,5,6-tetra(2-pyridyl)pyrazine

Complex [Zn(Tppz)Cl₂] (I), where Tppz = 2,3,5,6-tetrakis(2-pyridyl)pyrazine, has been synthesized and characterized by elemental analyses, IR, ¹H NMR, cyclic voltammetry, and electronic spectral studies. Solid state structures of the complex have been determined by single-crystal X-ray crystallography. The structural determination shows that the mononuclear complex I is a 1D coordination polymer. Also an ORTEP drawing of complex I shows that the coordination geometry around the Zn(II) center is slightly distorted from regular square-based pyramidal. Crystal data for I: triclinic, spase group P $ \bar 1 $ , a = 10.171(2), b = 10.3550(13), c = 12.239 (2) Å, α = 64.839(9)°, β = 85.736(8)°, γ = 77.842(10)°, V = 1140.3(4) ų, Z = 2.     

Optimization of parameters for the alcoholic-assisted dispersive liquid–liquid microextraction of estrogens in water

Extraction and determination of estrogens in water samples were performed using alcoholic-assisted dispersive liquid–liquid microextraction (AA-DLLME) and high-performance liquid chromatography (UV/Vis detection). A Plackett–Burman design and a central composite design were applied to evaluate the AA-DLLME procedure. The effect of six parameters on extraction efficiency was investigated. The factors studied were volume of extraction and dispersive solvents, extraction time, pH, amount of salt and agitation rate. According to Plackett–Burman design results, the effective parameters were volume of extraction solvent and pH. Next, a central composite design was applied to obtain optimal condition. The optimized conditions were obtained at 220 μL 1-octanol as extraction solvent, 700 μL ethanol as dispersive solvent, pH 6 and 200 μL sample volume. Linearity was observed in the range of 1–500 μg L^?1 for E2 and 0.1–100 μg L^?1 for E1. Limits of detection were 0.1 μg L^?1 for E2 and 0.01 μg L^?1 for E1. The enrichment factors and extraction recoveries were 42.2, 46.4 and 80.4, 86.7, respectively. The relative standard deviations for determination of estrogens in water were in the range of 3.9–7.2 % (n = 3). The developed method was successfully applied for the determination of estrogens in environmental water samples.     

Determination of Montelukast in Plasma Using β − Cyclodextrins Coated on CoFe<Subscript>2</Subscript>O<Subscript>4</Subscript> Magnetic Nanoparticles in Luminol–H<Subscript>2</Subscript>O<Subscript>2</Subscript> Chemiluminescence System Optimized by Doehlert Design

A novel chemiluminescence method using β ? cyclodextrins coated on CoFe₂O₄ magnetic nanoparticles is proposed for the chemiluminometric determination of montelukast in plasma. The effect of coated β ? cyclodexterinon CoFe₂O₄ magnetic nanoparticles in the chemiluminescence of luminol–H₂O₂ system was investigated. It was found that β ? cyclodexterin coated on CoFe₂O₄ magnetic nanoparticles could greatly enhance the chemiluminescence of the luminol–H₂O₂ system. Doehlert design was applied in order to optimize the number of experiments to be carried out to ascertain the possible interactions between the parameters and their effects on the chemiluminescence emission intensity. This design was selected because the levels of each variable may vary in a very efficient way with few experiments. Doehlert design and response surface methodology have been employed for optimization pH and concentrations of the components. Results showed under the optimized experimental conditions, the relative CL intensity (ΔI) is increased linearly in the concentration range of 0.003–0.586 μgml^?1 of montelukast with limit of detection (LOD) 1.09 × 10^?4 μgml^?1 at S/N ratio of 3, limit of quantitative (LOQ) 3.59 × 10^?4 μgml^?1 and the relative standard deviation 2_.63 %. The method has been successfully applied to the determination of montelukast in plasma of human body. Results specified that relative chemiluminescence intensity (ΔI) has good proportional with the montelukast concentration with R² = 0.99979. The test of the recovery efficiency for known amounts of montelukast was also performed, the recoveries range obtained from 98.2 to 103.3 %, with RSDs of <4 % indicated that the proposed method was reliable.     

Two-machine flow shop total tardiness scheduling problem with deteriorating jobs

This paper studies a two-machine scheduling problem with deteriorating jobs which their processing times depend on their waiting time. We develop a branch and bound algorithm to minimize the total tardiness criteria. A lower bound, several dominance properties and an initial upper bound derived from a heuristic algorithm are used to increase the speed of branch and bound algorithm and decrease its required memory space. Computational results are presented to evaluate effectiveness and efficiency of the algorithms.