项目名称: 多尺度多因素协同作用的风电系统能效评估机理的研究
项目编号: No.51465010
项目类型: 地区科学基金项目
立项/批准年度: 2015
项目学科: 机械、仪表工业
项目作者: 莫秋云
作者单位: 桂林电子科技大学
项目金额: 46万元
中文摘要: 新能源的典型形式风力发电被广泛应用的同时,垂直轴风电系统能量转化机理和系统效能的评估问题,正受到极大关注。本项目拟在细观尺度上探索风电能量转换机理,建立多尺度多因素非线性综合模型,构造适合复杂系统分析的通用流-固-电多场耦合单元,研究细观参数与宏观性能的多尺度特性及其耦合的分析方法;阐明细观参数对宏观性能的影响机制,研究能量转换细观多尺度渐近方法;研究风电系统多因素系统级集成优化的各因素间的过渡矩阵求解方法和算法,建立系统评测机制,提取优化途径,给出风电系统整体优化特征,获得系统级优化结果。针对风电系统的机械结构、控制系统、人机环境造型等多因素多尺度的作用效果进行工程验证与应用研究。 本项目的研究,有望在系统性能分析流固耦合和机电耦合的一般方法中有所突破和创新,获得有学术意义和实践价值的研究成果,为工程实践中日益增长的风电效能评估提供新的理论和技术。
中文关键词: 协同优化;流固电耦合;多因素;能效评估;风电系统
英文摘要: Wind Power as one type of new energies has been widely used, but vertical axis wind power turbines(VAWT) are of great concern on assessment of its energy conversion mechanism and efficacy. This project intends to explore wind energy conversion mechanism on the micro-scale, to establish a comprehensive nonlinear multi-scale multi-factor model, to construct a general multi-field coupling unit for complex system analysis of fluid-solid-power , to study a kind of relationship between microscopic parameters and macroscopic properties by a method of the multi-scale features and their coupling; to clarify a mechanism of microscopic parameters affecting on the macroscopic properties, and a multi-scale meso asymptotic method of energy conversion, to research wind power system multi- factor system level transitive matrix method and their algorithms for solving the integration optimization among the various factors, to create a system evaluation mechanisms , to extract a way for the whole optimize, to give the overall wind power system optimization features and access system-level optimization results . Engineering verification and applied research will be done for the mechanical structure, the control systems and the human environmental modeling of the wind power system effects by the multi-variate and multi-scale modeling systems. The project is expected to achieve a breakthrough and innovation from the present general methods of the fluid-solid coupling and the machine-electric coupling, to obtain academic significances and practical values of the research results in terms of the system performance analysis, and to provide a new theory and a technology for engineering practice on assessing the effectiveness of growing wind power Industry.
英文关键词: Collaborative Optimization;Flow - Solid - electrical coupling;multi-factors;Energy efficiency assessment;Wind Power Systems