Development And Application Of A Full-chain Carbon Capture,Utilization And Storage System Optimization Model

Application of carbon dioxide capture,utilization and storage technology(CCUS)could help large-scale greenhouse gas emission reduction and clean and high efficient use of fossil fuel.The technology has drawn significant attention of goverments and researchers globally.CCUS technology could also be associated with China's emission reduction obligation,energy security and international competitiveness of energy industries.The lack of sophisticated planning and scientific economic analysis of CCUS project will lead to poor decision-making and would lead to a huge commercial risk of CCUS project investment project and furthter retard the commercial demonstration of CCUS in China.Therefore,based on analysis of CCUS system,a full-chain carbon capture,utilization and storage system optimization model was developed in this study.Aided with the model,the planing of CCUS project was also conducted from the perspective of resource and enviromental benefits.In addition,mixed-integer programming,interval programming,chance-constrained programming and two-stage programming methods were applied for inexact full-chain CCUS system optimization modeling to reflect the internal interactive releation among technical modules and impacts of external policy and economic factors as well as multiple uncertainties.This could facilitate the optimized allocation of all internal technical activitiesm thus further help reduce total system cost.This study could provide solid decision bases for supporting full-chain CCUS project demonstration and deployment in China.The main content of the thesis includes the following aspects:(1)A full-chain CCUS system optimization model was developed and successfully applied to a typical large-scale CCUS demonstration project as a case study.(2)Through integrating CO2 reduction environmental benefits into the CCUS optimization system frame,a full-chain CCUS resource and environmental benefit system optimization model was further developed,which could not only effectively reflect the resource benefits of captured CO2 utilizaton but also address environmental benefits of greenhouse gas emission reduction through analysis of storage subsidery and carbon price.(3)A interval parameter and chance constrained full-chain CCUS system optimization model was developed which can effectively handle multiple uncertainty problem including interval uncertainty in objective function and constraints functions and probability distribution and mixed integer uncertainty problems.(4)Aimming to solve CO2 supply and distribution of dynamic scheduling problem in a region,an interval two-stage proramming CCUS system optimization model was developed.This optimization model can also generate reasonable solutions to make up the supply shortage or surplus of CO2 gas source when the first-stage CO2 allocation scheduling policy are failure.The main contribution of the study is the development of a full-chain CCUS system optimization model,the model can effectively tackle interactions and uncertainties existing in a complex CCUS system.It could provide scientific decision scheme for planning CCUS project under complex condition,and is helpful in encouraging large-scale CCUS low-cost demonstration and deployment in China.