...
首页> 外文期刊>Renewable & Sustainable Energy Reviews >Process Integration for Hybrid Power System supply planning and demand management - A review
【24h】

Process Integration for Hybrid Power System supply planning and demand management - A review

机译:混合动力系统供应计划和需求管理的过程集成-回顾

获取原文
获取原文并翻译 | 示例
   

获取外文期刊封面封底 >>

       

摘要

Modeling tools for the optimal Hybrid Power Systems (HPS) supply planning and demand management have been relatively established. However, complementary tools that can provide planners, decizion-makers, energy managers and electrical as well as power engineers with graphical and visualization insights that are vital for better conceptual understanding of the problems, particularly at the onset of hybrid power systems planning and design, have just been developed over the last five years. This paper reviews the six-year development of the insight-based graphical and algebraic Process Integration (PI) tools for the optimal HPS supply planning and demand management, i.e., from its inception in the year 2011, until 2016. Known as the Power Pinch Analysis (PoPA), the tool has been among the next-generation PI techniques for resource conservation following the developments of the heat, mass, water, gas, materials, property, solid and carbon emission pinch analysis techniques. This paper discusses the progress, challenges and contributions of PoPA in promoting Renewable Energy (RE) utilization in HPS. Case studies on implementation of PoPA for HPS planning and design presented in the paper show encouraging improvement on HPS profitability and reliability. (C) 2016 Elsevier Ltd. All rights reserved.
机译:最优混合动力系统(HPS)供应计划和需求管理的建模工具已经相对建立。但是,可以为规划人员,决策者,能源经理,电气以及电力工程师提供图形和可视化见解的补充工具,这些工具对于更好地从概念上理解问题至关重要,尤其是在混合动力系统规划和设计开始之时,最近五年才被开发出来。本文回顾了基于洞察力的图形和代数过程集成(PI)工具的六年开发过程,以实现最佳的HPS供应计划和需求管理,即从2011年成立到2016年。分析(PoPA),随着热量,质量,水,气体,材料,特性,固体和碳排放收缩分析技术的发展,该工具已成为用于资源保护的下一代PI技术之一。本文讨论了PoPA在促进HPS中可再生能源(RE)利用率方面的进展,挑战和贡献。本文中提出的针对PoS实施HPS规划和设计的案例研究表明,在HPS盈利能力和可靠性方面的改进令人鼓舞。 (C)2016 Elsevier Ltd.保留所有权利。

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