• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文学位 >Hybrid PV/diesel solar power system design using multi-level factor analysis optimization.
【24h】

Hybrid PV/diesel solar power system design using multi-level factor analysis optimization.

机译：使用多级因子分析优化的混合光伏/柴油太阳能发电系统设计。

获取原文
获取原文并翻译 | 示例
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Solar power systems represent a large area of interest across a spectrum of organizations at a global level. It was determined that a clear understanding of current state of the art software and design methods, as well as optimization methods, could be used to improve the design methodology.;Solar power design literature was researched for an in depth understanding of solar power system design methods and algorithms. Multiple software packages for the design and optimization of solar power systems were analyzed for a critical understanding of their design workflow. In addition, several methods of optimization were studied, including brute force, Pareto analysis, Monte Carlo, linear and nonlinear programming, and multi-way factor analysis. Factor analysis was selected as the most efficient optimization method for engineering design as it applied to solar power system design.;The solar power design algorithms, software work flow analysis, and factor analysis optimization were combined to develop a solar power system design optimization software package called FireDrake. This software was used for the design of multiple solar power systems in conjunction with an energy audit case study performed in seven Tibetan refugee camps located in Mainpat, India. A report of solar system designs for the camps, as well as a proposed schedule for future installations was generated. It was determined that there were several improvements that could be made to the state of the art in modern solar power system design, though the complexity of current applications is significant.
机译：太阳能系统在全球范围内代表着众多组织的广泛关注。确定可以清楚地了解最新软件和设计方法以及优化方法，以改进设计方法。;研究了太阳能设计文献，以深入了解太阳能系统设计方法和算法。分析了用于太阳能系统设计和优化的多个软件包，以便对其设计工作流程有严格的了解。此外，还研究了几种优化方法，包括蛮力，帕累托分析，蒙特卡洛，线性和非线性规划以及多因素分析。因子分析被选为最有效的工程设计优化方法，应用于太阳能系统设计中。结合太阳能设计算法，软件工作流程分析和因子分析优化，开发了太阳能系统设计优化软件包。叫做火龙。结合在印度Mainpat的七个西藏难民营中进行的能源审计案例研究，该软件被用于设计多个太阳能系统。生成了一个关于营地的太阳能系统设计的报告，以及拟议的未来安装时间表。可以确定的是，尽管当前应用的复杂性很高，但可以对现代太阳能发电系统的设计进行一些改进。

著录项

  • 作者

    Drake, Joshua P.;

  • 作者单位

    Northern Arizona University.;

  • 授予单位 Northern Arizona University.;
  • 学科 Energy.;Alternative Energy.;Engineering Electronics and Electrical.
  • 学位 M.S.
  • 年度 2014
  • 页码 219 p.
  • 总页数 219
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 新闻学、新闻事业;
  • 关键词

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号