...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Applied Energy >A mixed integer non-linear programming model for tactical value chain optimization of a wood biomass power plant
【24h】

A mixed integer non-linear programming model for tactical value chain optimization of a wood biomass power plant

机译：木材生物质电厂战术价值链优化的混合整数非线性规划模型

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

Forest biomass is one of the renewable sources of energy that has been used for generating electricity. The feasibility and cost of producing electricity from forest biomass depend on long term availability of biomass, its cost and quality, and the cost of collecting, pre-processing, handling, transportation, and storage of forest biomass, in addition to the operating and maintenance costs of the conversion facility. To improve the cost competitiveness of forest biomass for electricity generation, mathematical programming models can be used to manage and optimize its supply chain. In this paper, the supply chain configuration of a typical forest biomass power plant is presented and a dynamic optimization model is developed to maximize the overall value of the supply chain. The model considers biomass procurement, storage, energy production and ash management in an integrated framework at the tactical level. The developed model is a nonlinear mixed integer programming which is solved using the outer approximation algorithm provided in AIM MS software package. It is then applied to optimize the supply chain of a real biomass power plant in Canada. The optimum solution provides more profit compared to the actual profit of the power plant. Different scenarios for maximum available supply and also investment in a new ash recovery system were evaluated and the results were analyzed. The model in particular shows that investment in a new ash recovery system has economic as well as environmental benefits for the power plant.
机译：森林生物质是已用于发电的可再生能源之一。由森林生物质发电的可行性和成本取决于生物质的长期可用性，其成本和质量以及森林生物质的收集，预处理，处理，运输和存储成本，以及运行和维护成本转换设施的成本。为了提高森林生物质用于发电的成本竞争力，可以使用数学规划模型来管理和优化其供应链。本文提出了典型的森林生物质电厂的供应链配置，并开发了动态优化模型以最大化供应链的整体价值。该模型在战术层面上的综合框架中考虑了生物质的采购，存储，能源生产和灰分管理。开发的模型是非线性混合整数规划，可以使用AIM MS软件包中提供的外部逼近算法进行求解。然后将其应用于优化加拿大一家真正的生物质发电厂的供应链。与发电厂的实际利润相比，最佳解决方案可提供更多利润。对最大可用供应量以及在新的灰渣回收系统中进行投资的不同方案进行了评估，并对结果进行了分析。该模型特别表明，对新的灰渣回收系统进行投资对电厂具有经济和环境效益。

著录项

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