A multi-objective multi-period optimization of carbon integration networks in industrial parks

被引:5
作者
Al-Mohannadi, Dhabia M. [1 ]
Linke, Patrick [1 ]
Shah, Nialy [2 ]
机构
[1] Texas A&M Univ Qatar, Dept Chem Engn, POB 23874, Doha, Qatar
[2] Imperial Coll London, Dept Chem Engn, London, England
来源
29TH EUROPEAN SYMPOSIUM ON COMPUTER AIDED PROCESS ENGINEERING, PT A | 2019年 / 46卷
关键词
Optimization; carbon dioxide reduction; renewable energy; sustainability; climate policy; EMISSIONS;
D O I
10.1016/B978-0-12-818634-3.50082-5
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
The direct link between climate change and anthropogenic industrial activity resulted in a need more prominent than ever to cut emissions. At the Paris climate conference (COP21), 195 countries adopted a legally binding global climate deal to put the world on track to avoid dangerous climate change effects. This sets a challenge for many countries to draft sustainable climate policies by 2030. Climate change has social, environmental and economic consequences. Therefore, it is important to understand the impact of these interconnected factors on climate strategies. Multi-period carbon integration allows carbon reduction over a certain time horizon. The multi-period planning approach identified allocation of carbon dioxide between sources and potential sinks in each period, compared cost elements simultaneously and resulted in a low cost network across all periods. In this work the approach was expanded to evaluate two conflicting objectives. An example was solved to assess climate policies under two objectives. Good carbon reductions were achieved.
引用
收藏
页码:487 / 492
页数:6
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