• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Energy Conversion & Management >Evolutionary algorithms approach for integrated bioenergy supply chains optimization
【24h】

Evolutionary algorithms approach for integrated bioenergy supply chains optimization

机译：集成生物能源供应链优化的进化算法方法

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

In this paper, we propose an optimization model and solution approach for designing and evaluating integrated system of bioenergy production supply chains, SC, at the local level. Designing SC that simultaneously utilize a set of bio-resources together is a complicated task, considered here. The complication arises from the different nature and sources of bio-resources used in bioenergy production i.e., wet, dry or agriculture, industrial etc. Moreover, the different concerns that decision makers should take into account, to overcome the tradeoff anxieties of the socialists and investors, i.e., social, environmental and economical factors, was considered through the options of multi-criteria optimization. A first part of this research was introduced in earlier research work explaining the general Bioenergy Decision System gBEDS [Ayoub N, Martins R, Wang K, Seki H, Naka Y. Two levels decision system for efficient planning and implementation of bioenergy production. Energy Convers Manage 2007;48:709-23], In this paper, brief introduction and emphasize on gBEDS are given; the optimization model is presented and followed by a case study on designing a supply chain of nine bio-resources at lida city in the middle part of Japan.
机译：在本文中，我们提出了一种用于在地方一级设计和评估生物能源生产供应链SC集成系统的优化模型和解决方案方法。设计同时使用一组生物资源的SC是一项复杂的任务，在此考虑。造成这种复杂性的原因是用于生物能源生产的生物资源的性质和来源不同，即湿法，干法或农业，工业等。此外，决策者应考虑不同的关注点，以克服社会主义者和社会主义者之间的权衡焦虑。通过多标准优化选择考虑了投资者，即社会，环境和经济因素。在较早的研究工作中介绍了本研究的第一部分，解释了通用生物能源决策系统gBEDS [Ayoub N，Martins R，Wang K，Seki H，NakaY。两级决策系统，用于有效规划和实施生物能源生产。 Energy Convers Manage 2007; 48：709-23]，本文对gBEDS进行了简要介绍和重点介绍；提出了优化模型，然后以在日本中部利达市设计9种生物资源的供应链为例进行了案例研究。

著录项

  • 来源
    《Energy Conversion & Management》 |2009年第12期|2944-2955|共12页
  • 作者

    Nasser Ayoub; Elsayed Elmoshi; Hiroya Seki; Yuji Naka;

  • 作者单位

    Process Systems Engineering Division, Tokyo Institute of Technology, 4259 Nagatsuta, Midori-ku, Yokohama 226-8503, Japan FIE, Helwan University, Helwan, Egypt;

    FIE, Helwan University, Helwan, Egypt;

    Process Systems Engineering Division, Tokyo Institute of Technology, 4259 Nagatsuta, Midori-ku, Yokohama 226-8503, Japan;

    Process Systems Engineering Division, Tokyo Institute of Technology, 4259 Nagatsuta, Midori-ku, Yokohama 226-8503, Japan;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    genetic algorithms; supply chains; bioenergy; sustainable energy; decision support systems;

    机译：遗传算法;供应链;生物能源可持续能源;决策支持系统;

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