首页|An interval-parameter two-stage optimization model for CO2 collection,distribution,transportation,utilization,and storage planning

An interval-parameter two-stage optimization model for CO2 collection,distribution,transportation,utilization,and storage planning

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  • 国家科技期刊平台
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Geological carbon dioxide (CO2) utilization and storage have been widely recognized as one of the important options to deliver greenhouse gas emissions reduction.Reasonable planning is critical to promote CO2 utilization and storage.However,CO2 emissions gas collection exhibits a stochastic probability distribution,and CO2 utilization and storage features fluctuation demands,which have gone beyond current determine planning techniques.To fulfill the current research gap,this study develops an interval-parameter two-stage programming-based CO2 collection,distribution,transportation,utilization,and storage optimization model,integrating interval parameter planning and two-stage planning into a general framework.Therefore,the model can address uncertainties expressed as random probabilistic distributions and discrete intervals,tackle dynamic facilities capacity expansion issues,develop optimal predefined CO2 distribution policy,and generate recourse schemes to address gas shortage or gas surplus issues.The model is examined by a typical hypnotical case study in China.The results revealed that the model could generate a set of first-stage reasonable CO2 distribution and facilities capacity expansion schemes to maximum system benefits and the highest feasibility.Besides,a set of two-stage CO2 outsourcing purchases and facilities capacity expansion in reserve storage regions solutions were also generated to address the gas oversupplies and shortage issues.The modeling approach enriches the current CO2 utilization and storage dis-tribution research content under multiple uncertainties.

CO2 gas collectionTransportationCO2 geological utilization and storageSupply and distribution planningInterval-parameter programmingTwo-stage programmingUncertainties

ZHAI Ming-Yang、JIA Hai-Feng、Michela CATENA、LI Qi-An

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School of Environment,Tsinghua University,Beijing,100084,China

International Joint Laboratory on Low Carbon Clean Energy Innovation,Ministry of Education,Beijing,100084,China

National Natural Science Foundation of China of ChinaNational Natural Science Foundation of China of Chinaresearch is also Jiangsu Collaborative Innovation Center of Technology and Material of Water Treatmentresearch is also Jiangsu Collaborative Innovation Center of Technology and Material of Water Treatmentauthors would like to thank the reviewers for their valuable suggestions,thoughtful comments,and efforts towards improving t

5176112501351778319Suzhou 215009China

2021

气候变化研究进展(英文版)
国家气候中心

气候变化研究进展(英文版)

CSCDSCI
影响因子：0.806
ISSN：1674-9278
年,卷(期)：2021.12(6)
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