CO2捕集、运输、驱油与封存全流程随机优化

doi:10.16085/j.issn.1000-6613.2019-0347

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

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. 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 LU^1,⁴,Zhongde YANG⁵,Jianping YANG⁶

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/Abstract

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

中图分类号:

TE-9

白宏山,赵东亚,田群宏,王琪,陆诗建,杨忠德,杨建平. CO₂捕集、运输、驱油与封存全流程随机优化[J]. 化工进展, 2019, 38(11): 4911-4920.

Hongshan BAI,Dongya ZHAO,Qunhong TIAN,Qi WANG,Shijian LU,Zhongde YANG,Jianping YANG. Stochastic optimization of the whole process of CO₂ capture, transportation, utilization and sequestration[J]. Chemical Industry and Engineering Progress, 2019, 38(11): 4911-4920.

图/表 12

参考文献 25

1	KOEBL B S , BROEK M A V D , RUIJVEN B J V , et al . Uncertainty in the deployment of carbon capture and storage (CCS): a sensitivity analysis to techno-economic parameter uncertainty[J]. International Journal of Greenhouse Gas Control, 2014, 27(8): 81-102.
2	MCCOLLUM, DAVID L , OGDEN, JOAN M . Techno-economic models for carbon dioxide compression, transport , and storage & correlations for estimating carbon dioxide density and viscosity[R]. Davis: Scholarship-university of California, 2006.
3	HAN J H , LEE I B . Multiperiod stochastic optimization model for carbon capture and storage infrastructure under uncertainty in CO₂ emissions, product prices, and operating costs[J]. Industrial & Engineering Chemistry Research, 2012, 51(35): 11445-11457.
4	Cristóbal JORGE , GONZALO Guillén Gosálbez, et al . Stochastic MILP model for optimal timing of investments in CO₂ capture technologies under uncertainty in prices[J]. Energy, 2013, 54(6): 343-351.
5	WU Q , LIN Q G , WANG X Z , et al . An inexact optimization model for planning regional carbon capture, transportation and storage systems under uncertainty[J]. International Journal of Greenhouse Gas Control, 2015, 42: 615-628.
6	D'AMORE F , BEZZO F , et al . Economic optimization of European supply chains for CO₂ capture, transport and sequestration[J]. International Journal of Greenhouse Gas Control, 2017, 65: 99-116.
7	RUBIN E S , DAVISON J E , HERZOG H J . The cost of CO₂ capture and storage[J]. International Journal of Greenhouse Gas Control, 2015, 40: 378-400.
8	HU Bingyin , ZHAI Haibo . The cost of carbon capture and storage for coal-ﬁred power plants in China[J]. International Journal of Greenhouse Gas Control, 2017, 65: 23-31.
9	张建府 . 碳捕集与封存技术(CCS)成本及政策分析[J]. 中外能源, 2011, 16(3): 21-25.
	ZHANG Jianfu . Carbon capture and storage technology (CCS) cost and policy analysis[J]. Chinese and Foreign Energy, 2011, 16(3): 21-25.
10	牛红伟, 郜时旺, 刘练波, 等 . 燃煤烟气全流程CCUS系统的技术经济分析[J]. 中国电力, 2014, 47(8): 144-149.
	NIU H W , PEI S W , LIU L B , et al . Technical and economic analysis of CCUS system for coal-fired flue gas whole process[J]. China Electric Power, 2014, 47(8): 144-149.
26	SMITH L A , GUPTA N , SASS B M , et al . Engineering and economic assessment of carbon dioxide sequestration in saline formations[R]. Columbus: Battelle Memorial Institute, 2001.
11	中石化石油工程设计有限公司 . 烟气二氧化碳捕集纯化工程设计标准: GB/T 51316—2018[S]. 北京: 中国计划出版社, 2018.
	Sinopec Petroleum Engineering Design Co., Ltd . Design standard for flue gas CO₂ capture and purification engineering: GB/T 51316—2018[S]. Beijing: China Planning Press, 2018.
12	RAO A B , RUBIN E S , BERKENPAS M B . An integrated modeling framework for carbon manage-ment technologies[R]. U.S. Department of Energy: Office of Scientific & Technical Information Technical Reports, 2004: 1-184.
13	赵东亚, 张建, 李清方, 等 . 火电厂CO₂捕集与纯化工艺的工程-经济模型[J]. 石油工程建设, 2013, 39(4): 11-13.
	ZHAO Dongya , ZHANG Jian , LI Qingfang , et al . Engineering-economic model of CO₂ capture and purification process in thermal power plants[J]. Petroleum Engineering Construction, 2013, 39(4): 11-13.
14	中石化石油工程设计有限公司 . 二氧化碳输送管道工程设计标准: SH/T 3202—2018[S]. 北京: 中国石化出版社, 2018.
	Sinopec Petroleum Engineering Design Co., Ltd . Design standard for carbon dioxide conveying pipeline: SH/T 3202—2018[S]. Beijing: China Petrochemical Press, 2018.
15	骆仲泱, 方梦祥 . 二氧化碳捕集、封存和利用技术[M]. 北京: 中国电力出版社, 2012.
	LUO Zhongyang , FANG Mengxiang . CO₂ capture, storage and utilization technologies[M]. Beijing: China Electric Power Press, 2012.
16	ZHANG Z X , WANG G X , MASSAROTTO P , et al . Optimization of pipeline transport for CO₂ sequestration[J]. Energy Conversion & Management, 2006, 47(6): 702-715.
17	KNOOPE M M J , GUIJT W , RAMIREZ A , et al . Improved cost models for optimizing CO₂ pipeline configuration for point-to-point pipelines and simple networks[J]. International Journal of Greenhouse Gas Control, 2014, 22(2): 25-46.
18	陈喜生, 邹斌 . 基于电价对数正态分布的发电厂商报价策略[C]//张嗣瀛. 2007中国控制与决策学术年会论文集. 沈阳: 东北大学出版社, 2007: 905-908.
	CHEN Xisheng , ZOU Bin . Power plant quotation strategy based on log-normal distribution of electricity price[C]//ZHANG Siying. 2007 Proceedings of China Academic Conference on Control and Decision Making. Shenyang: Northeastern University Press, 2007: 905-908.
19	WANG H , XIANG F . Volatility characteristics of electricity price based on the normal distribution probability density function[C]//Electronics, Communications and Control (ICECC), 2011 International Conference on Ningbo: IEEE, 2011: 585-588.
20	ZHOUH, CHEN B , HAN Z X , et al . Study on probability distribution of prices in electricity market: a case study of Zhejiang province, China[J]. Communications in Nonlinear Science and Numerical Simulation, 2009, 14(5): 2255-2265.
21	REZAEE A , DEHGHANIAN F , FAHIMNIA B , et al . Green supply chain network design with stochastic demand and carbon price[J]. Annals of Operations Research, 2017, 250(2): 463-485.
22	汪东进, 李秀生, 刘明明, 等 . 基于油价随机过程的国际石油合同模式经济性分析[J]. 石油学报, 2012, 33(3): 513-518.
	WANG Dongjin , LI Xiusheng , LIU Mingming , et al . Economic analysis of international petroleum contract model based on stochastic oil price process[J]. Editorial office of Acta Petrolei Sinica, 2012, 33(3): 513-518.
23	林敏, 刘志斌 . 油价系统的随机模拟[J]. 系统工程, 2008, 26(2): 72-77.
	LIN Min , LIU Zhibin . Stochastic simulation of oil price system[J]. Systems Engineering, 2008, 26(2): 72-77.
24	MORES P , RODRIGUEZ N , SCENNA N , et al . CO₂ capture in power plants: minimization of the investment and operating cost of the post-combustion process using MEA aqueous solution[J]. International Journal of Greenhouse Gas Control, 2012, 10(1): 148-163.
25	王众 . 中国二氧化碳捕捉与封存(CCS)技术早期实施方案构建研究[J]. 中外能源, 2012, 17(12): 17-23.
	WANG Zhong . Research on early implementation of carbon dioxide capture and storage (CCS) technology in China[J]. Chinese and Foreign Energy, 2012, 17(12): 17-23.

[1]	徐晨阳, 都健, 张磊. 基于图神经网络的化学反应优劣评价[J]. 化工进展, 2023, 42(S1): 205-212.
[2]	陈匡胤, 李蕊兰, 童杨, 沈建华. 质子交换膜燃料电池气体扩散层结构与设计研究进展[J]. 化工进展, 2023, 42(S1): 246-259.
[3]	孙玉玉, 蔡鑫磊, 汤吉海, 黄晶晶, 黄益平, 刘杰. 反应精馏合成甲基丙烯酸甲酯工艺优化及节能[J]. 化工进展, 2023, 42(S1): 56-63.
[4]	陈林, 徐培渊, 张晓慧, 陈杰, 徐振军, 陈嘉祥, 密晓光, 冯永昌, 梅德清. 液化天然气绕管式换热器壳侧混合工质流动及传热特性[J]. 化工进展, 2023, 42(9): 4496-4503.
[5]	刘炫麟, 王驿凯, 戴苏洲, 殷勇高. 热泵中氨基甲酸铵分解反应特性及反应器结构优化[J]. 化工进展, 2023, 42(9): 4522-4530.
[6]	张帆, 陶少辉, 陈玉石, 项曙光. 基于改进恒热传输模型的精馏模拟初始化[J]. 化工进展, 2023, 42(9): 4550-4558.
[7]	王晨, 白浩良, 康雪. 大功率UV-LED散热与纳米TiO₂光催化酸性红26耦合系统性能[J]. 化工进展, 2023, 42(9): 4905-4916.
[8]	张振, 李丹, 陈辰, 吴菁岚, 应汉杰, 乔浩. 吸附树脂对唾液酸的分离纯化[J]. 化工进展, 2023, 42(8): 4153-4158.
[9]	吴正浩, 周天航, 蓝兴英, 徐春明. 人工智能驱动化学品创新设计的实践与展望[J]. 化工进展, 2023, 42(8): 3910-3916.
[10]	张智琛, 朱云峰, 成卫戍, 马守涛, 姜杰, 孙冰, 周子辰, 徐伟. 高压聚乙烯失控分解研究进展：反应机理、引发体系与模型[J]. 化工进展, 2023, 42(8): 3979-3989.
[11]	杨志强, 曾纪珺, 马义丁, 尉涛, 赵波, 刘英哲, 张伟, 吕剑, 李兴文, 张博雅, 唐念, 李丽, 孙东伟. 六氟化硫替代气体的研究现状及未来发展趋势[J]. 化工进展, 2023, 42(8): 4093-4107.
[12]	郭晋, 张耕, 陈国华, 朱鸣, 谭粤, 李蔚, 夏莉, 胡昆. 车载液氢气瓶设计技术的研究进展[J]. 化工进展, 2023, 42(8): 4221-4229.
[13]	李蓝宇, 黄新烨, 王笑楠, 邱彤. 化工科研范式智能化转型的思考与展望[J]. 化工进展, 2023, 42(7): 3325-3330.
[14]	林海, 王彧斐. 考虑噪声约束的分布式风场布局优化[J]. 化工进展, 2023, 42(7): 3394-3403.
[15]	王俊杰, 潘艳秋, 牛亚宾, 俞路. 分子水平催化重整装置模型构建及应用[J]. 化工进展, 2023, 42(7): 3404-3412.

CO₂捕集、运输、驱油与封存全流程随机优化

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

RichHTML

PDF (PC)

可视化

摘要/Abstract

引用本文

使用本文

图/表 12

参考文献 25

相关文章 15

编辑推荐

Metrics

本文评价