.png){kind=icon}
返回
Segregated Targeting for Multiple Resource Networks Using Decomposition Algorithm
.png){kind=icon}
OA
AI
DOI：10.1002/aic.12050.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
A generalized decomposition technique is presented for determining optimal resource usage in segregated targeting problems with single quality index (e.g., concentration, temperature, etc.) through pinch analysis. The latter problems are concerned with determining minimal resource requirements of process networks characterized by the existence of multiple zones, each consisting of a set of demands and using a unique external resource. However, all the zones share a common set of internal sources. The decomposition algorithm allows the problem to he decomposed into a sequence of subproblems, each of which can in turn be solved using any established graphical or algebraic targeting methodology to determine the minimum requirement of respective resource. This article presents a rigorous mathematical proof of the decomposition algorithm, and then demonstrates its potential applications with case studies on carbon-constrained energy sector planning, interplant water integration, and emergy-based multisector fuel allocation. (C) 2009 American Institute of Chemical Engineers AIChE J, 56: 1235-1248, 2010
Keyword:
resource conservation
process integration
pinch analysis
targeting
multiple resources
decomposition algorithm
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
4
论文数:
1.1W
被引数:
2.9W
机构
引用论文
Extended pinch targeting techniques for carbon-constrained energy sector planning.png)
APPLIED ENERGY
APPLIED ENERGYIF11
PREAI
分享收藏Surplus diagram and cascade analysis technique for targeting property-based material reuse network基于属性的材料再利用网络的剩余图和级联分析技术
PREAI
分享收藏分享收藏Flowrate targeting for threshold problems and plant-wide integration for water network synthesis
PREAI
分享收藏
查看更多内容