Wuhan University of Technology

About: Wuhan University of Technology is a education organization based out in Wuhan, China. It is known for research contribution in the topics: Microstructure & Photocatalysis. The organization has 40384 authors who have published 36724 publications receiving 575695 citations. The organization is also known as: WUT.

Visible-light-induced photoelectrochemical behaviors of Fe-modified TiO2 nanotube arrays.

Abstract: Fe-modified TiO2 nanotube arrays (TiO2 NTs) were prepared by annealing amorphous TiO2 NTs whose surface was covered with Fe3+ by a dip-coating procedure, and characterized by scanning electron microscopy, X-ray diffraction, X-ray photoelectron spectroscopy and UV-visible reflectance spectroscopy. The photoelectrochemical properties were evaluated by the photocurrent response and photoelectrocatalytic (PEC) degradation of methylene orange (MO) and 4-chlorophenol in water under visible-light irradiation (λ > 420 nm). The results showed that a Fe-modified TiO2 NTs electrode exhibited a larger photocurrent response and higher PEC activity for the degradation of organic pollutants than a pure TiO2 NTs electrode. At a bias potential of 0.4 V, the photocurrent response of a 0.5 M Fe-modified TiO2 NTs electrode exceeded that of a pure TiO2 NTs electrode by a factor of about 10, and the PEC degradation rates of MO and 4-chlorophenol on a 0.5 M Fe-modified TiO2 NTs electrode exceeded those on a pure TiO2 NTs electrode by a factor of about 2.5. The larger photocurrent response and higher PEC activity of Fe-modified TiO2 NTs could be attributed to the enhancement of separation of charge-carriers at the external electric field and the extension of the light response range of TiO2 to the visible-light region with the narrowing of the band gap.

An improved binary particle swarm optimization for unit commitment problem

Abstract: This paper proposes a new improved binary PSO (IBPSO) method to solve the unit commitment (UC) problem, which is integrated binary particle swarm optimization (BPSO) with lambda-iteration method. The IBPSO is improved by priority list based on the unit characteristics and heuristic search strategies to repair the spinning reserve and minimum up/down time constraints. To verify the advantages of the IBPSO method, the IBPSO is tested and compared to the other methods on the systems with the number of units in the range of 10-100. Numerical results demonstrate that the IBPSO is superior to other methods reported in the literature in terms of lower production cost and shorter computational time.