CO2捕集、运输、驱油与封存全流程不确定性优化研究

Research on uncertainty optimization of whole process of CO2 capture,transportation, oil displacement and storage

CO2捕集、运输、驱油与封存技术(CCUS)作为有效缓解CO2排放的关键技术,引起了学术界和工业界的广泛关注,CCUS技术的经济性是决定其广泛应用的主要因素。针对CCUS全流程系统,在考虑参数不确定性的情况下,提出基于鲁棒优化的改进的遗传算法优化方法,在建立其鲁棒优化模型的基础上,使用改进的遗传算法对参数进行合理的优化配置,降低了全流程参数不确定性的影响。通过实例仿真验证了该优化方法的有效性。

CO2 capture, transportation, oil displacement and storage technology ( CCUS ) as a key technology for effective mitigation of CO2 emissions has attracted wide attention from academia and industry. The economic performance of CCUS technology has become a major factor affecting its widespread application. For the CCUS whole process system, the improved genetic algorithm optimization method based on robust optimization is proposed considering the parameter uncertainty. On the basis of establishing its robust optimization model, this method is used to optimize the parameter configuration, which reduces the influence of the parameter uncertainty of the whole process system. The effectiveness of the optimization method is verified by an example simulation.