CO2捕集、运输、驱油与封存全流程随机优化

CO₂捕集、运输、驱油与封存（CCUS）是一种缓解温室气体排放的有效手段。在工程实际问题中，由于温度、压力、碳价、电价等随机变量的存在，给CCUS全流程建模与优化带来了很大的困难。为了解决此问题，本文建立了CCUS全流程的工程-经济模型，并以烟气入口流量、管道入口压力、管道直径、泵站数量、注入井入口压力等作为决策变量，质量约束、排放约束、运输约束、存储约束等为约束条件，以CCUS全流程成本为目标函数，提出了一种随机优化期望值模型。并采用基于随机模拟的遗传算法对期望值模型进行求解，通过参数的合理优化配置，提出的优化方法解决了CCUS全流程随机优化问题。研究结果表明，该优化方法能够有效地降低CCUS全流程的成本，为此技术的发展提供了一种参考方案。

Stochastic optimization of the whole process of CO2 capture,transportation, utilization and sequestration

CO₂ capture, transportation, utilization and storage (CCUS) has become an effective method for mitigating greenhouse gas emissions. In the actual engineering problems, due to the existence of random variables such as temperature, pressure, carbon price and electricity price, it has brought great difficulties to the modeling and optimization of CCUS. In order to solve this problem, this paper a whole-process engineering-economic model of CCUS was established, which takes flue gas inlet flow, pipe inlet pressure, pipe diameter, number of pumping stations and injection well inlet pressure as decision variables, and quality constraints, emission constraints, transportation constraints and storage constraints as constraints. A stochastic optimization expectation model was proposed by using the whole-process CCUS cost as objective function. The genetic algorithm based on stochastic simulation was used to solve the expectation model. Through the reasonable parameters optimization and configuration, the proposed optimization method could solve the stochastic optimization problem in the whole-process CCUS. Results showed that the optimization method can effectively reduce the cost of the whole-process CCUS and provide a reference scheme for the development of this technology.