Energy management in hybrid electric vehicles using optimized radial basis function neural network

This paper deals with energy management in hybrid electric vehicles. Use of radial basis function neural network (RBFNN) for the problem of energy management gains importance in the present decade. Use of genetic algorithm (GA) and particle swarm optimization (PSO) as optimization algorithms for parameter estimation is also well known. However, none of the researchers in the area tried to use GA and PSO as training algorithms for the problem. Hence in this paper, we propose two novel methods, based on RBFNN. The difference between RBFNN-based approaches in the literature and those used in this paper is the use of GA and PSO (i.e. optimising algorithms) as training algorithm to train RBFNNs. Interestingly, it is seen that the proposed approaches of this paper outperform RBFNN-based approaches in the literature with traditional training.     

Indigenous Power Struggles in the Peruvian Amazon: A Spatio-cultural Analysis of Communication

It is well established that external national policies and internal ethnic politics contribute to indigenous power struggles that create a disharmonious indigenous voice. The purpose of this paper is to interrogate how such fissures intersect with internal, covert communication forces embedded in indigenous communities. Based on a case study of Peru’s national indigenous Amazonian organization Asociación Interétnica de Desarrollo de la Selva Peruana (AIDESEP or the Interethnic Association for the Development of the Peruvian Rainforest), the authors advance a geographical perspective of communication to interrogate the physical and social spaces that contribute to and fragment indigenous public spheres, drawing from a content analysis of interviews and news media reports. The aim is to analyse how power—influenced by the spatio-cultural effects on communication—divided a national indigenous voice following Peru’s 2009 Amazon conflict.     

火电厂烟气连续监测系统应用现状

介绍了不同技术类型烟气连续监测系统（CEMS）的测量原理，技术特点，并分析其在火电厂应用中存在的问题，提出了相应建议。     

基于电力历史应急大数据的应急情景规则分析与发现方法研究

为了解决电力突发事件演化过程难于预测,进而导致事件应急缺少针对性,较为被动的问题,提出在现有应急预案指导、事故模拟仿真、事故案例经验总结等方法基础上,引入基于电力历史大数据分析与预测的应急情景规则分析与发现方法,将电力应急突发事件情景构建的结果与相关大数据预测模型（汇总统计、分类与预测）相结合,提出科学、合理且具有良好操作性的情景演化规则的获取方法与技术路线,为进一步提高复杂电力突发事件的应急处置与指挥能力提供技术支撑。     

隧道内氨气泄漏扩散分布特征数值模拟

为分析运输过程中液氨罐车在隧道内泄漏的危险性,利用Fire Dynamics Simulator(FDS)软件模拟氨气在隧道内的扩散过程,发展了隧道内氨气泄漏扩散体积分数分布特征经验公式。采用大涡模拟处理湍流流动,以便兼顾计算精度和计算效率。考虑储罐车发生泄漏后停止不动,液氨在泄漏瞬间转变为气体,模拟在连续点源泄漏情况下的氨气射流及扩散过程。结果表明,高体积分数危险区域主要集中在隧道顶棚附近,更高截面的体积分数处于爆炸极限的区域更长。泄漏源与洞口之间的隧道中段区域的体积分数梯度相对两端较小,此中段区域也是人员安全高度截面最高氨气体积分数发生位置。最大泄漏量情况下氨气在沿纵向扩散过程中平均运动速率保持在0.63~1.06 m/s,扩散速率随纵向距离增加而降低。顶棚氨气体积分数升高程度随纵向距离增加呈幂函数降低,体积分数沿纵向衰减规律适用于其他泄漏量的情况。后期工作可考虑开展缩尺试验,并同时考虑通风条件等因素对氨气泄漏扩散的影响研究。发展的氨气在隧道内泄漏扩散的体积分数分布经验公式可为氨气事故后果评价、应急处置等工作提供参考。     

京津冀地区电力部门CO2排放因素分解分析

基于LMDI(Logarithmic Mean Divisia Index Method)方法分析2001-2016年京津冀地区电力部门CO2排放的8个影响因素,考虑了京津冀地区电力部门从生产投入、转换、传输到消费的整个过程;并分析了2001-2016年影响京、津、冀各地区CO2排放的各因素贡献值。结果表明,1)2001-2016年京津冀地区电力部门CO2排放总体呈现递增趋势,2012年出现负增长;河北省电力部门对京津冀电力部门CO2排放贡献最大,2001-2016年累计CO2排放变化量为145.70 Mt,但河北省电力部门的减排潜力巨大;2)人均GDP效应和人口规模效应是促进京津冀地区电力部门CO2排放增长的主要因素,2001-2016年累计贡献值分别为261.86 Mt和36.47 Mt;3)用电效率效应和电力输入输出效应是京津冀地区电力部门CO2排放量增长的主要抑制作用,2001-2016年累计贡献值分别为-49.40 Mt和-47.93 Mt;4)造成京、津、冀电力部门CO2排放差异的主要因素是人均GDP、化石能源转换效率和用电效率。     

污泥协同处置技术及应用分析

对我国火电厂、水泥窑在污泥协同处置方面的基本情况进行了简要介绍和分析,并对气化炉、烧结窑炉和冶金高炉等炉窑在污泥协同处置方面的应用技术进行了简要介绍。指出我国火电厂和水泥窑协同处置能力较强,但由于经济效益问题,企业协同处置污泥的积极性不高,致使行业实际处理量远小于其处理能力。同时指出气化炉、烧结窑炉和冶金高炉等其他炉窑在协同处置工业污泥方面具有适用范围广、就地处置成本低等优势,需要对其进行扩展性、挖潜性研发。     

基于任务特征的电网企业应急预案体系重构*

为解决目前电网企业应急预案体系建设存在的内容泛化、管理成本高等问题,提出基于任务特征的应急预案体系重构思路,运用情景构建方法,开展电网企业突发事件影响场景和处置任务分析,得出7个影响场景、10类处置任务和38项子任务。结果表明:电网企业应急处置任务具有收敛性特征。通过应急预案与处置任务匹配,重构应急预案体系结构和预案定位,构建以通用性部门应急预案及现场处置方案为建设重点的新型应急预案体系,形成“通用性预案工具箱”,实现预案衔接“无缝化”、预案内容“本地化”、管理成本“聚焦化”。     

生活垃圾焚烧发电项目环境影响评价要点研究

本文立足于生活垃圾焚烧发电项目要求,从多个角度详细介绍了项目环境影响评价的要点,包括污染源评价、选址要求等,并介绍了支持保障策略,希望能够为未来生活垃圾焚烧发电提供理论支持。     

Antecedents and consequences of empowering leadership: Leader power distance,leader perception of team capability,and team innovation

The evidence that empowering leadership is an effective form of team leadership brings the question on what the antecedents of empowering leadership are into focus. We propose that empowering leadership is driven by considerations of the normative and situational appropriateness of empowering leadership that are associated with leader power distance value and leader perception of team capability. We propose that leader power distance and perceived team capability interact such that the influence of leader power distance on empowering leadership is stronger with higher perceived team capability. We extend our model to show that by affecting empowering leadership, the interaction of leader power distance and perceived team capability indirectly influences team innovation, an important team outcome associated with empowered teamwork. We tested our model in two multisource surveys in China: Study 1 of 84 technical teams and Study 2 of 83 financial service teams. We discuss how our study contributes to empowering leadership theory by providing a theoretical perspective that lends itself well to identifying other trait and situational antecedents of empowering leadership.