化工进展 ›› 2019, Vol. 38 ›› Issue (11): 4911-4920.DOI: 10.16085/j.issn.1000-6613.2019-0347

• 能源加工与技术 • 上一篇    下一篇

CO2捕集、运输、驱油与封存全流程随机优化

白宏山1(),赵东亚1(),田群宏2,王琪3,陆诗建1,4,杨忠德5,杨建平6   

  1. 1. 中国石油大学(华东)新能源学院,山东 青岛 266580
    2. 山东科技大学机械电子工程学院,山东 青岛 266510
    3. 中建城市建设发展有限公司,北京 100037
    4. 中石化节能环保工程科技有限公司,山东 东营 257026
    5. 中国石油辽河油田钻采工艺研究院,辽宁 盘锦 124010
    6. 中国石油辽河油田开发事业部,辽宁 盘锦 124010
  • 收稿日期:2019-03-08 出版日期:2019-11-05 发布日期:2019-11-05
  • 通讯作者: 赵东亚
  • 作者简介:白宏山(1994—),男,硕士研究生,研究方向为过程建模与优化。Email: z17030263@upc.edu.cn
  • 基金资助:
    国家自然科学基金(61473312);国家科技重大专项(2016ZX05012002-004);中国石油大学(华东)自主创新科研计划项目(18CX05026A);青岛市民生科技计划项目(17-3-3-75-nsh)

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

Hongshan BAI1(),Dongya ZHAO1(),Qunhong TIAN2,Qi WANG3,Shijian LU1,4,Zhongde YANG5,Jianping YANG6   

  1. 1. College of New Energy, China University of Petroleum (East China), Qingdao 266580, Shandong, China
    2. School of Mechanical and Electronic Engineering, Shandong University of Science and Technology, Qingdao 266510, Shandong, China
    3. CSCEC City Construction Development Co. , Ltd. , Beijing 100037, China
    4. Sinopec Energy Conservation and Environmental Protection Engineering Technology Co. , Ltd. , Dongying 257026, Shandong, China
    5. PetroChina Liaohe Oilfield Drilling and Production Technology Research Institute, Panjin 124010, Liaoning, China
    6. PetroChina Liaohe Oilfield Development Division, Panjin 124010, Liaoning, China
  • Received:2019-03-08 Online:2019-11-05 Published:2019-11-05
  • Contact: Dongya ZHAO

摘要:

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。

关键词: CO2捕集、运输、驱油与封存, 随机优化, 模型, 遗传算法, 设计

Abstract:

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.

Key words: CCUS, stochastic optimization, model, genetic algorithm, design

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