Cooperative role of cobalt and gallium under the ethanol steam reforming on Co/CeGaOx

The performance of gallium promoted cobalt-ceria catalysts for ethanol steam reforming (ESR) was studied using H₂O/C₂H₅OH = 6/1 mol/mol at 500 °C. The catalysts were synthetized via cerium-gallium co-precipitation and wetness impregnation of cobalt. A detailed characterization by N₂-physisorption, XRD, H₂-TPR and TEM allowed the normalization of contact time and rationalization of the role of each catalysts component for ESR. The gallium promoted catalyst, Co/Ce₉₀Ga₁₀O_x, was more efficient for the ethanol conversion to H₂ and CO₂, and the production of oxygenated by-products (such as, acetaldehyde and acetone) than Co/CeO₂. The catalytic performance is explained assuming that: (i) bare ceria is able to dehydrogenate ethanol to ethylene; (ii) Ce–O–Ga interface catalyzes ethanol reforming; (iii) both Ce–O–Co and Ce–O–Ga interfaces takes part in acetone production; and (iv) cobalt sites further allow C–C scission. It is suggested that a cooperative role between Co and Ce–O–Ga sites enhance the H₂ and CO₂ yields under ESR conditions.     

Parallel Multipopulation Differential Evolutionary Particle Swarm Optimization for Voltage and Reactive Power Control

This paper presents parallel multipopulation differential evolutionary particle swarm optimization (DEEPSO) for voltage and reactive power control (VQC). The problem can be formulated as a mixed integer nonlinear optimization problem and various evolutionary computation techniques have been applied to the problem including PSO, differential evolution (DE), and DEEPSO. Since VQC is one of the online controls, speed‐up of computation is required. Moreover, there is still room for improvement in solution quality. This paper applies parallel multipopulation DEEPSO in order to speed up the calculation and improve solution quality. The proposed method is applied to IEEE 30, 57, and 118 bus systems. The results indicate that the proposed method can realize fast computation and minimize more active power losses than the conventional evolutionary computation techniques.     

绿色住区参数化优化设计平台的开发进展与展望

绿色住区设计是建设宜居城市和实现节能减排目标的重要手段与方法。文章首先回顾绿色住区参数化优化设计方法及平台概况，在此基础上，重点介绍平面生成、噪声计算、通风计算、可视度计算等新增功能和天空遮挡算法升级，以及广州市的工程应用，最后展望平台研发与应用的未来发展方向。     

基于“校企协同”的制冷空调课程体系的构建

从制冷空调企业的现状出发,利用校企协同、产教融合的创新组织模式,整合暖通行业、企业和学校的资源优势,构建一套“协同创新”的制冷空调课程体系,从根本上提高建环专业学生工程素养和创新能力,以满足暖通行业、企事业单位对具有实践及创新能力的高素质应用型技术人才需求。     

超高层劲性结构及大型机械设备立体协同施工技术

基于某超高层建筑群项目的主体施工阶段,对超高层劲性结构建筑群项目施工过程中可能遇到的问题,诸如大型机械立体协同、钢结构与钢筋连接节点优化、钢结构桁架层施工等重难点进行总结分析,并提出相应的解决方案以供探讨,可为同类型工程提供参考经验。     

基于分解的多目标花朵授粉算法

在过去几十年里，许多多目标进化算法被广泛应用于解决多目标优化问题，其中一种比较流行的多目标进化算法是基于分解的多目标进化算法(MOEA/D)。花朵授粉算法是一种启发式优化算法，但迄今为止，花朵授粉算法在基于分解的多目标进化算法领域的研究还非常少。本文在基于分解的多目标进化算法的框架下，将花朵授粉算法拓展至多目标优化领域，提出一种基于分解的多目标花朵授粉算法(MOFPA/D)。此外，为了保证非支配解的多样性，本文提出一种基于网格的目标空间分割法，该方法从找到的Pareto最优解集中筛选出一定数量且分布均匀的Pareto最优解。实验结果表明，基于分解的多目标花朵授粉算法在收敛性与多样性方面均优于基于分解的多目标进化算法。     

中外合作办学模式下化学实验室的开放与管理

基础化学实验课程是学习化学的基础,对于提高学生对化学理论知识的理解、培养学生科研素质起到非常重要的作用。公共基础化学实验室的开放,使不同专业的学生有更多的机会可以接触化学实验,增强对化学基础知识的了解和掌握,培养学生实践能力和创新能力。介绍了如何建立开放化学实验室准入制度、实验室分区和安全管理制度、实验室跟进和激励制度,并给出了一些中外合作的探索措施,为化学实验室的开放管理和运行提供参考。     

售电市场环境下售电公司与电力用户双层博弈模型研究

售电市场放开是我国售电侧改革的发展方向,竞争性售电市场中用户选择权放开,用户选择结果影响售电公司的售电策略,售电公司售电策略又会直接影响用户选择。构建售电公司与电力用户间双层博弈模型,下层模型为用户层演化博弈,上层模型为售电公司间非合作博弈。首先分析影响用户选择售电公司的因素,建立用户效用模型,采用演化博弈理论构建不同类型用户群体选择售电公司的多群体动态演化模型。在构建用户选择模型的基础上,分析售电公司的购售电策略,计及售电公司面临的风险因素,建立售电公司和电力用户的双层博弈模型并给出了博弈均衡的求解算法。算例分析结果表明,所构建的模型和算法具有可行性和有效性。     

Analysis of the patent cooperation network in global artificial intelligence technologies based on the assignees

Studying the distribution of the patent cooperation networks from the perspective of assignees provides a very important reference to improve the analysis of the market situation, master the layout of industrial technology and seek partners or mergers and acquisitions. This study uses the Derwent patent database and the patent metric approach to investigate the cooperative network structure of the assignees. The overall patent output in the artificial intelligence field on a global scale exhibited a rapid growth, and the proportion of cooperative patents significantly increased; the cooperation structure between the assignees was loose, and the innovation efficiency was low.     

The Territorial Impact Assessment of transport: the case of the Egnatia motorway system in the cohesion potential of Southeast Europe

Territorial Impact Assessment (TIA) is proposed as a critical tool in order to investigate the way policies affect spatial development and hence territorial cohesion. The paper introduces a TIA methodological model in relation to transport sector. The design of the methodological model is based on a quantitative evaluation framework that comprises a set of selected indicators applied in a cross-border area of southeast Europe, influenced by the operation of the Greek motorway system of Egnatia and its vertical axes. The indicators are grouped into three main fields of TIA, i.e. transport intermodality, polycentric spatial organization and cross-border territorial cooperation. The TIA’s indicators are approximated by quantitative analysis. The procedure concludes to an overall composite indicator measuring the ‘level of territorial cohesion’ along with some core results and the expected added value. It also highlights some key technical aspects about the routines used and proceeds to suggestions for further refinement.