金属离子在液相氧化中的催化作用 XI.金属酞菁(MPc,M=Co、Fe)在异丙苯液相氧化中的催化作用

研究了MPc(M=CO、Fe)在异丙苯液相氧化中的催化作用,并考察了Py、bPy和菲绕啉等含N配体对MPc催化性能的影响.发现反应遵循配位-链锁反应机理.反应速度对异丙苯为1.5级,对催化剂为0.5级.反应活化能分别为53.1kJ/mol.(CoPe)和43.9 kJ/mol.(FePc).在所选择的反应条件下,异丙苯转化率较低(小于35%),生成过氧化氢异丙苯选择性约为100%.加入第五配体可使诱导期消失.电子光谱和反应动力学结果同时表明,反应是由O_2的配位活化引发的,ESR结果证明酞菁环的电子可和金属离子进行交换.

固载化金属酞菁(MPc)催化性能的研究——Ⅱ.MPc通过配位连接在硅胶上及其对O_2的活化作用

用有机合成的方法在硅胶表面连接上可与MPc配位的有机基团——(CH_2)_3N(C_2H_5)_2,MPc与之配位从而固载在硅胶上。UV-Vis漫反射光谱表明硅胶表面存在MPc。用ESR研究固载化MPc与O_2的作用,证明固载化CoPc、FePc可以与O_2作用产生O_2~-,CuPc则不能。

BIOMIMITICS OF OXIDASE AND OXYGENASE THE ELECTRONIC SPECTRA AND THE OXYGEN UPTAKE KINTICS FOR MPc AND MTPP (M = Fe, Co, Cu, Pc AND TFP - ARE DIANIONS OF PHTHALOCYANIN AND TETRAPHENYLPORPHYRINE, RESPECTIVELY)

The reaction rates of MTPP with oxygen in air are Inas than that with pure oxygen, the ratio is roughly the same as to the partial presence of imygen in air, The influences of S-ligand etbanethiol and O- litand Vc on the above Systems have also been investigated, the former makes the MP hands having more changes and the reaction rate constants becoming greater, the latter has less influence.

固载化金属酞菁(MPc)催化性能的研究——Ⅰ.在NaY上直接合成MPc

固载化的配位催化剂兼具均相和多相催化剂的优点,因此,均相配合物催化剂的固载化是近来很活跃的研究领域。金属酞菁在有机物的均相催化氧化中有不少报导,但对固载化的金属酞菁研究得不多。我们试图把过渡金属酞菁固载化并研究其在氧化反应中的催化行为。本文讨论的是在NaY上直接合成金属酞菁配合物。

氧化和加氧酶的化学模拟 Ⅰ.MPc、MTPP/DMF(M=Fe、Co、Cu、Pc和TPP分别为酞菁和四苯基卟啉环;DMF为N-N′二甲基甲酰胺)体系的电子光谱和吸氧动力学

通过电子光谱法测定MPc的Q_(0-0)带和MTPP的Soret带吸光度随时间的变化,研究了MP在DMF介质中的吸氧动力学,按竞争串行反应机理的处理,表明MP的催化活性有如下关系: MPc>MTPP;Fe>Co>Cu MTPP在空气中的吸氧速率小于在纯氧中的,其比值约相当于空气中的氧分压;研究了含硫配体巯基乙醇和含氧配体抗坏血酸对上述体系的影响,前者使MP谱带发生较大的变化,吸氧速率常数普遍增大,后者的影响较小。

A comparison between star formation rate diagnostics and rate of core collapse supernovae within 11 Mpc

Aims. The core collapse supernova rate provides a strong lower limit for the star formation rate (SFR). Progress in using it as a cosmic SFR tracer requires some confidence that it is consistent with more conventional SFR diagnostics in the nearby Universe. This paper compares standard SFR measurements based on H alpha, far ultraviolet (FUV) and total infrared (TIR) galaxy luminosities with the observed core collapse supernova rate in the same galaxy sample. The comparison can be viewed from two perspectives. Firstly, by adopting an estimate of the minimum stellar mass to produce a core collapse supernova one can determine a SFR from supernova numbers. Secondly, the radiative SFR can be assumed to be robust and then the supernova statistics provide a constrain on the minimum stellar mass for core collapse supernova progenitors.

Distributed MPC for Frequency Regulation in Multi-Terminal HVDC Grids

High Voltage Direct Current (HVDC) lines allow large quantities of power to be
transferred between two points in an electrical power system. A Multi-Terminal HVDC (MTDC) grid consists of a meshed network of HVDC lines, and this allows energy reserves to be shared between a number of AC areas in an efficient manner. Secondary Frequency Control (SFC) algorithms return the frequencies in areas connected by AC or DC lines to their original setpoints after Primary Frequency Controllers have been called following a contingency. Where multiple
TSOs are responsible for different parts of a MTDC grid it may not be possible to implement SFC from a centralised location. Thus, in this paper a simple gain based distributed Model Predictive Control strategy is proposed for Secondary Frequency Control of MTDC grids which allows TSOs to cooperatively perform SFC without the need for centralised coordination.

Computationally reliable approaches of contractive MPC for discrete-time systems

La tesis pretende explorar acercamientos computacionalmente confiables y eficientes de contractivo MPC para sistemas de tiempo discreto. Dos tipos de contractivo MPC han sido estudiados: MPC con coacción contractiva obligatoria y MPC con una secuencia contractiva de conjuntos controlables. Las técnicas basadas en optimización convexa y análisis de intervalos son aplicadas para tratar MPC contractivo lineal y no lineal, respectivamente. El análisis de intervalos clásicos es ampliado a zonotopes en la geometría para diseñar un conjunto invariante de control terminal para el modo dual de MPC. También es ampliado a intervalos modales para tener en cuenta la modalidad al calcula de conjuntos controlables robustos con una interpretación semántica clara. Los instrumentos de optimización convexa y análisis de intervalos han sido combinados para mejorar la eficacia de contractive MPC para varias clases de sistemas de tiempo discreto inciertos no lineales limitados. Finalmente, los dos tipos dirigidos de contractivo MPC han sido aplicados para controlar un Torneo de Fútbol de Copa Mundial de Micro Robot (MiroSot) y un Tanque-Reactor de Mezcla Continua (CSTR), respectivamente.

Input constraints handling in an MPC/feedback linearization scheme

The combination of model predictive control based on linear models (MPC) with feedback linearization (FL) has attracted interest for a number of years, giving rise to MPC+FL control schemes. An important advantage of such schemes is that feedback linearizable plants can be controlled with a linear predictive controller with a fixed model. Handling input constraints within such schemes is difficult since simple bound contraints on the input become state dependent because of the nonlinear transformation introduced by feedback linearization. This paper introduces a technique for handling input constraints within a real time MPC/FL scheme, where the plant model employed is a class of dynamic neural networks. The technique is based on a simple affine transformation of the feasible area. A simulated case study is presented to illustrate the use and benefits of the technique.

Real-Time Control Of Floods Along The Demer River, Belgium, By Means Of MPC In Combination With GA And A Fast Conceptual River Model

Climate model projections show that climate change will further increase the risk of flooding in many regions of the world. There is a need for climate adaptation, but building new infrastructure or additional retention basins has its limits, especially in densely populated areas where open spaces are limited. Another solution is the more efficient use of the existing infrastructure. This research investigates a method for real-time flood control by means of existing gated weirs and retention basins. The method was tested for the specific study area of the Demer basin in Belgium but is generally applicable. Today, retention basins along the Demer River are controlled by means of adjustable gated weirs based on fixed logic rules. However, because of the high complexity of the system, only suboptimal results are achieved by these rules. By making use of precipitation forecasts and combined hydrological-hydraulic river models, the state of the river network can be predicted. To fasten the calculation speed, a conceptual river model was used. The conceptual model was combined with a Model Predictive Control (MPC) algorithm and a Genetic Algorithm (GA). The MPC algorithm predicts the state of the river network depending on the positions of the adjustable weirs in the basin. The GA generates these positions in a semi-random way. Cost functions, based on water levels, were introduced to evaluate the efficiency of each generation, based on flood damage minimization. In the final phase of this research the influence of the most important MPC and GA parameters was investigated by means of a sensitivity study. The results show that the MPC-GA algorithm manages to reduce the total flood volume during the historical event of September 1998 by 46% in comparison with the current regulation. Based on the MPC-GA results, some recommendations could be formulated to improve the logic rules.

Otimização do processo de síntese do aluminato de cobalto via método de polimerização de complexos (MPC) através do planejamento fatorial fracionado

In the ceramics industry are becoming more predominantly inorganic nature pigments. Studies in this area allow you to develop pigments with more advanced properties and qualities to be used in the industrial context. Studies on synthesis and characterization of cobalt aluminate has been widely researched, cobalt aluminate behavior at different temperatures of calcinations, highlighting especially the temperatures of 700, 800 and 900° C that served as a basis in the development of this study, using the method of polymerization of complex (CPM), economic, and this method applied in ceramic pigment synthesis. The procedure was developed from a fractional factorial design 2 (5-2) in order to optimize the process of realization of the cobalt aluminate (CoAl2O4), having as response surfaces the batch analysis data of Uv-vis spectroscopy conducted from the statistic software 7.0, for this were chosen five factors as input variables: citric acid (stoichiometric manner), puff or pyrolysis time (h), temperature (° C), and calcinations (° C/min), at levels determined for this study. By applying statistics in the process of obtaining the CoAl2O4 is possible the study of these factors and which may have greater influence in getting the synthesis. The pigments characterized TG/DSC analyses, and x-ray diffraction (XRD) and scanning electron microscope (SEM/EDS) in order to establish the structural and morphological aspects of pigment CoAl2O4, among the factors studied it were found to statically with increasing calcinations temperature 700°< 800 <900 °C, the bands of Uv-vis decrease with increasing intensity of absorbance and that with increasing time of puff or pyrolysis (h) there is an increase in bands of Uv-vis proportionally, the generated model set for the conditions proposed in this study because the coefficient of determination can explain about 99.9% of the variance (R²), response surfaces generated were satisfactory, so it s possible applicability in the ceramics industry of pigments