中国过程系统工程30年：回顾与展望

doi:10.16085/j.issn.1000-6613.2022-0401

摘要/Abstract

摘要：

中国系统工程学会过程系统工程专业委员会至今已成立了30年，本文是一篇纪念文章，全文分为四个部分。首先就过程系统工程（process systems engineering, PSE）作为一个学科在中国的缘起做一个简要回顾；其次，介绍了30年来PSE的发展贡献和问题，简要回顾30年来（特别是近10年来）PSE领域的重要成果及其对于过程工业的贡献，并对当前工作中存在的问题提出一些看法；再次，介绍了PSE面临的挑战和机遇，主要从全球和我国角度简要评述今后发展面临的问题，针对发展形势的要求，进一步指出了PSE学科将会有哪一些发挥作用的机会；最后展望未来，主要是对PSE今后工作提出了一些建议。

关键词: 过程系统工程, 发展, 历史回顾, 展望

Abstract:

This was an overview on the developments of process systems engineering (PSE) in China, in memory of the establishment of the PSE Professional Committee under Systems Engineering Society of China for 30 years. The paper was divided into four parts. The first part of the introduction was a brief review of the origin of PSE as a discipline in China. The second part was the development contribution and problems of PSE in the past 30 years. The important achievements of PSE in the past 30 years (especially in the past 10 years) and its contribution to process industry were briefly reviewed and summarized, and some existing problems including the position of PSE in China were pointed out. The next half part of this paper was the prospect of PSE’s future developments. In the third part of challenges and opportunities on future developments for PSE, the development situation for PSE were introduced from the global perspective and the perspective of China’s future development of the problems. It was further pointed out that PSE discipline would have some opportunities to play a role. Finally, the future prospects, mainly some suggestions for future works, were put forward in the fourth part.

Key words: process systems engineering (PSE), development, history retrospect, prospect

中图分类号:

TQ021.8

杨友麒, 陈丙珍. 中国过程系统工程30年：回顾与展望[J]. 化工进展, 2022, 41(8): 3991-4008.

YANG Youqi, CHEN Bingzhen. PSE in China: retrospect and prospects[J]. Chemical Industry and Engineering Progress, 2022, 41(8): 3991-4008.

图/表 16

图1 在不同尺度下化学工程的建模平台[14]

图2 中国石油大学（CUP）石油分子管理软件平台的模块构成[21]

图3 介观尺度模拟和优化在多尺度模拟系统中的地位[22]

图4 复杂化学反应器建模的间隔建模方法原理思路图解[25]

图5 能量-水-排碳-X多重网络系统集成技术的发展

图6 石化盈科ProMACE v.3.0（面向能源化工的工业互联网平台）总体框架

图7 九江石化炼油厂智能制造的核心技术示意简图

图8 Grossmann教授等2019年对PSE地位的调查[15]

图9 当前炼油化工行业常用核心工业软件

图10 两种不同的可持续发展观模式的比较[52]

表1 各个国家和地区单位GDP所用能耗（2019年）

国家	能耗/tce·MUSD^-1
中国	341.9
印度	395.9
美国	155.3
日本	123.6
法国	122
德国	117.7
意大利	108.6
英国	97.4
世界平均	227

图11 化工产品设计方法框架[57-58]

图12 智能工厂的数字孪生原理示意图

图13 传统PSE领域的协同增效作用

图14 流程工业各行业间、行业与社会间的生态链接示意图[71]

图15 PSE研究领域向微尺度和巨尺度扩展示意图

参考文献 49

50	WU Hao, ZHAO Jinsong. Fault detection and diagnosis based on transfer learning for multimode chemical processes[J]. Computers & Chemical Engineering, 2020, 135: 106731.
51	朱旺喜, 杨晓伟, 赵志坚. 2020年度国家自然科学基金委员会“化学工程与工业化学”科学基金项目申请和评审工作综述[J]. 化工进展, 2021, 40(1): 559-564.
	ZHU Wangxi, YANG Xiaowei, ZHAO Zhi-Jian. Summary of application and funding in division of Chemical Engineering & Industral Chemistry at National Natural Science Foundation of China in 2020[J]. Chemical Industry and Engineering Progress, 2021, 40(1): 559-564.
52	孙宏伟, 张国俊, 梁文平. 2013年度国家自然科学基金委员会化学科学部五处科学基金项目申请和评审工作综述[J]. 化工进展, 2014, 33(2): 516-520.
	SUN Hongwei, ZHANG Guojun, LIANG Wenping. Summary of application and funding in division of the fifth division of the Ministry of Chemical Science at National Natural Science Foundation of China in 2013[J]. Chemical Industry and Engineering Progress, 2014, 33(2): 516-520.
53	王子宗, 王基铭, 高立兵. 石化工业软件分类及自主工业软件成熟度分析[J]. 化工进展, 2021, 40(4): 1827-1836.
	WANG Zizong, WANG Jiming, GAO Libing. Classification and maturity analysis on petrochemical industrial software[J]. Chemical Industry and Engineering Progress, 2021, 40(4): 1827-1836.
54	SHAH Sirish L, BAKSHI Bhavik R, LIU Jinfeng, et al. Meeting the challenge of water sustainability: the role of process systems engineering[J]. AIChE Journal, 2021, 67(2): e17113.
55	张臻烨, 胡山鹰, 金涌. 2060中国碳中和——化石能源转向化石资源时代[J]. 现代化工, 2021, 41(6): 1-5.
	ZHANG Zhenye, HU Shanying, JIN Yong. China achieving carbon neutral in 2060, fossil energy to fossil resource era[J]. Modern Chemical Industry, 2021, 41(6): 1-5.
56	BAKSHI Bhavik R. Toward sustainable chemical engineering: the role of process systems engineering[J]. Annual Review of Chemical and Biomolecular Engineering, 2019, 10: 265-288.
57	李寿生. 用大转型和大重构实现高质量发展的新跨越[J]. 中国化工信息, 2021(10)：20-26.
	LI Shousheng. The big transition and big reconstruction for implement of new leap over of high quality development[J]. China Chemical News, 2021(10)：20-26.
58	常晓宇, 唐茵. 石油和化工行业“十四五”路在何方？[J]. 中国化工信息, 2021(12): 23-25.
	CHANG Xiaoyu, TANG Yin. Where is the way-out for Petroleum and Chemical Industries in the “14th Five Years Plan” of China[J]. China Chemical News, 2021(12):23-25.
59	ZHANG Lei, MAO Haitao, LIU Qilei, et al. Chemical product design—Recent advances and perspectives[J]. Current Opinion in Chemical Engineering, 2020, 27: 22-34.
60	张磊, 贺丁, 刘琳琳, 等. 基于模型的化工产品设计方法——综述与展望[J]. 化工进展, 2021, 40(4): 1746-1754.
	ZHANG Lei, HE Ding, LIU Linlin, et al. Model-based chemical product design—Review and perspectives[J]. Chemical Industry and Engineering Progress, 2021, 40(4): 1746-1754.
61	KALAKUL Sawitree, ZHANG Lei, FANG Zhou, et al. Computer aided chemical product design—ProCAPD and tailor-made blended products[J]. Computers & Chemical Engineering, 2018, 116: 37-55.
62	唐文虎, 陈星宇, 钱瞳, 等. 面向智慧能源系统的数字孪生技术及其应用[J]. 中国工程科学, 2020, 22(4): 74-85.
1	SARGENT Roger. Integrated design and optimization of process[J]. Chemical Engineering Progress, 1967, 63(9): 71-78.
2	RUDD Dale, WATSON Charles. Strategy of process engineering[M]. New York: Wiley, 1968.
62	TANG Wenhu, CHEN Xingyu, QIAN Tong, et al. Technologies and applications of digital twin for developing smart energy systems[J]. Strategic Study of CAE, 2020, 22(4): 74-85.
63	LECUN Yann, BENGIO Yoshua, HINTON Geoffrey. Deep learning[J]. Nature, 2015, 521(7553): 436-444.
3	卡法罗夫 B B. 控制论方法在化学和化工中的应用[M]. 陈丙珍, 译. 北京: 化学工业出版社, 1983.
	КАΦAPOB B B. Application of cybernetics in chemical industries[M]. CHEN Bingzhen, trans. Beijing: Chemical Industry Press. 1983.
64	LEE Jay H, SHIN Joohyun, REALFF Matthew J. Machine learning: overview of the recent progresses and implications for the process systems engineering field[J]. Computers & Chemical Engineering, 2018, 114: 111-121.
65	FISHER Oliver J, WATSON Nicholas J, ESCRIG Josep E, et al. Considerations, challenges and opportunities when developing data-driven models for process manufacturing systems[J]. Computers & Chemical Engineering, 2020, 140: 106881.
4	TAKAMATSU Takeichiro. The nature and role of process systems engineering[J]. Computers & Chemical Engineering, 1983, 7(4): 203-218.
5	杨友麒, 成思危. 现代过程系统工程[M]. 北京: 化学工业出版社, 2003.
	YANG Youqi, CHENG Siwei. Modern process systems engineering[M]. Beijing: Chemical Industry Press, 2003.
6	矢木荣, 西村肇. 化学プロセス工学[M]. 东京: 丸善株式会社, 1969.
7	高松武一郎. 化工过程系统工程[M]. 张能力, 沈静珠, 译. 北京: 化学工业出版社, 1981 .
66	姚羽曼, 罗文嘉, 戴一阳. 数据驱动方法在化工过程故障诊断中的研究进展[J]. 化工进展, 2021, 40(4): 1755-1764.
	YAO Yuman, LUO Wenjia, DAI Yiyang. Research progress of data-driven methods in fault diagnosis of chemical process[J]. Chemical Industry and Engineering Progress, 2021, 40(4): 1755-1764.
7	TAKAMATSU T. Chemical process systems engineering[M]. ZHANG N L, SHEN J Z, trans. Beijing: Chemical Industry Press, 1981.
8	张能力. 化工系统工程[M]. 北京: 化学工业出版社, 1982.
	ZHANG Nengli. Chemical process systems engineering[M]. Beijing: Chemical Industry Press, 1982.
9	杨友麒. 实用化工系统工程[M]. 北京: 化学工业出版社, 1989.
67	WU Hao, ZHAO Jinsong. Deep convolutional neural network model based chemical process fault diagnosis[J]. Computers & Chemical Engineering, 2018, 115: 185-197.
68	ZHANG Jisong, WANG Kai, TEIXEIRA Andrew R, et al. Design and scaling up of microchemical systems: a review[J]. Annual Review of Chemical and Biomolecular Engineering, 2017, 8: 285-305.
69	YANG Youqi. Microscale and nanoscale process systems engineering: challenge and progress[J]. The Chinese Journal of Process Engineering, 2007, 8: 616-624.
9	YANG Youqi. Chemical process systems engineering in practice[M]. Beijing: Chemical Industry Press, 1989.
10	张建侯, 许锡恩. 化工过程分析与计算机模拟[M]. 北京: 化学工业出版社, 1989.
	ZHANG Jianhou, XU Xi’en. Chemical process analysis and computer simulation[M]. Beijing: Chemical Industry Press, 1989.
11	彭秉璞. 化工系统分析与模拟[M]. 北京: 化学工业出版社, 1990.
70	辛靖, 朱元宝, 胡淼, 等. 微化工技术的研究与应用进展[J]. 石油化工高等学校学报, 2020, 33(5): 8-13.
	XIN Jing, ZHU Yuanbao, HU Miao, et al. Research and application progress of microchemical technology[J]. Journal of Petrochemical Universities, 2020, 33(5): 8-13.
11	PENG Bingpu. Chemical process systems analysis and simulation[M]. Beijing: Chemical Industry Press, 1990.
12	陈丙珍, 沈静珠, 何小荣. 石油化工企业生产优化管理[M]. 北京: 清华大学出版社, 1990.
	CHEN Bingzhen, SHEN Jingzhu, HE Xiaorong. Production management optimization in petrochemical enterprises[M]. Beijing: Tsinghua University Press, 1990.
13	姚平经. 全过程系统能量优化综合[M]. 大连: 大连理工大学出版社, 1995.
71	李伯虎, 陈左宁, 柴旭东, 等. “智能+”时代新“互联网+”行动总体发展战略研究[J]. 中国工程科学, 2020, 22(4): 1-9.
	LI Bohu, CHEN Zuoning, CHAI Xudong, et al. Overall development of the internet plus initiative against the backdrop of intelligence plus[J]. Strategic Study of CAE, 2020, 22(4): 1-9.
72	袁晴棠, 殷瑞钰, 曹湘洪, 等. 面向2035的流程制造业智能化目标、特征和路径战略研究[J]. 中国工程科学, 2020, 22(3): 148-156.
	YUAN Qingtang, YIN Ruiyu, CAO Xianghong, et al. Strategic research on the goals, characteristics, and paths of intelligentization of process manufacturing industry for 2035[J]. Strategic Study of CAE, 2020, 22(3): 148-156.
73	中国工程院. 中国工程科技2035发展战略——化工、冶金与材料领域报告[M]. 北京：科学出版社, 2020.
	Chinese Academy of Engineering. 2035 Development strategy of China engineering science and technology—Report on chemical industry, metallurgy and materials[M]. Beijing: Science Press, 2020.
13	YAO Pingjing. Energy systems integration optimization for total process site[M]. Dalian: Dalian University of Technology Press, 1995.
14	KATE Antoon J B TEN. PSE for problem solving excellence in industrial R&D[J]. Computers & Chemical Engineering, 2016, 89: 127-134.
74	STEPHANOPOULOS George, REKLAITIS Gintaras V. Process systems engineering: from solvay to modern bio- and nanotechnology—A history of development, successes and prospects for the future[J]. Chemical Engineering Science, 2011, 66(19): 4272-4306.
75	STEPHANOPOULOS G. “Synthesis” and “Computing” in process systems engineering: 45-year travelogue of an unindoctrinated academic farewell lecture[R]. Massachusetts Institute of Technology, 2017.
76	AVRAAMIDOU Styliani, BARATSAS Stefanos G, TIAN Yuhe, et al. Circular economy—A challenge and an opportunity for process systems engineering[J]. Computers & Chemical Engineering, 2020, 133: 106629.
77	吉旭, 党亚固, 周利, 等. 化学工业多尺度融合的智能制造模式——互联化工[J]. 化工进展, 2020, 39(8): 2927-2936.
	JI Xu, DANG Yagu, ZHOU Li, et al. Interconnected chemical engineering: an intelligent manufacture mode of chemical industry emphasizing the integration of multiscale[J]. Chemical Industry and Engineering Progress, 2020, 39(8): 2927-2936.
15	GROSSMANN Ignacio E, HARJUNKOSKI Iiro. Process systems engineering: academic and industrial perspectives[J]. Computers & Chemical Engineering, 2019, 126: 474-484.
16	WANG Xiaoqiang, HAN Dong, LIN Yuefeng, et al. Recent progress and challenges in process optimization: review of recent work at ECUST[J]. The Canadian Journal of Chemical Engineering, 2018, 96(10): 2115-2123.
17	QIAN Feng, ZHONG Weimin, DU Wenli. Fundamental theories and key technologies for smart and optimal manufacturing in the process industry[J]. Engineering, 2017, 3(2): 154-160.
18	华丰, 方舟, 邱彤. 乙烯裂解炉反应与传热耦合的智能混合建模与模拟[J]. 化工学报, 2018, 69(3): 923-930.
	HUA Feng, FANG Zhou, QIU Tong. Recirculation and reaction hybrid intelligent modeling and simulation for industrial ethylene cracking furnace[J]. CIESC Journal, 2018, 69(3): 923-930.
19	BI Kexin, ZHANG Shuyuan, ZHANG Chen, et al. Knowledge expression, numerical modeling and optimization application of ethylene thermal cracking: from the perspective of intelligent manufacturing[J]. Chinese Journal of Chemical Engineering, 2021, 38: 1-17.
20	YUAN Zhihong, CHEN Bingzhen, Gürkan SIN, et al. State-of-the-art and progress in the optimization-based simultaneous design and control for chemical processes[J]. AIChE Journal, 2012, 58(6): 1640-1659.
21	张霖宙, 陈政宇, 吕文进, 等.石油加工分子管理平台构建[J]. 中国科学: 化学, 2018, 48(4): 411-426.
	ZHANG Linzhuo, CHEN Zhengyu, Wenjin LYU, et al. Development of petroleum refining molecular management modeling platform[J]. Scientia Sinica Chimica, 2018, 48(4): 411-426.
22	GE Wei, WANG Wei, YANG Ning, et al. Meso-scale oriented simulation towards virtual process engineering (VPE)—The EMMS Paradigm[J]. Chemical Engineering Science, 2011, 66(19): 4426-4458.
23	杨宁, 李静海. 化学工程中的介尺度科学与虚拟过程工程: 分析与展望[J]. 化工学报, 2014, 65(7): 2403-2409.
	YANG Ning, LI Jinghai. Mesoscience in chemical engineering and virtual process engineering: analysis and perspective[J]. CIESC Journal, 2014, 65(7): 2403-2409.
24	GE Wei, CHANG Qi, LI Chengxiang, et al. Multiscale structures in particle-fluid systems: characterization, modeling, and simulation[J]. Chemical Engineering Science, 2019, 198: 198-223.
25	JOURDAN N, NEVEUX T, POTIER O, et al. Compartmental modelling in chemical engineering: a critical review[J]. Chemical Engineering Science, 2019, 210: 115196.
26	DU Yupeng, ZHAO Hui, MA An, et al. Equivalent reactor network model for the modeling of fluid catalytic cracking riser reactor[J]. Industrial & Engineering Chemistry Research, 2015, 54(35): 8732-8742.
27	GE Wei, CHEN Feiguo, GAO Jian, et al. Analytical multi-scale method for multi-phase complex systems in process engineering—Bridging reductionism and holism[J]. Chemical Engineering Science, 2007, 62(13): 3346-3377.
28	KEMP I C. 能量的有效利用——夹点分析与过程集成[M]. 项曙光, 贾小平, 夏力, 译. 北京: 化学工业出版社, 2010.
	KEMP I C. Pinch analysis and process integration, a user guide on process integration for the efficient use of energy[M]. XIANG Shuguang, JIA Xiaoping, XIAO Li, trans. Beijing: Chemical Industry Press，2010.
29	冯霄, 刘永忠, 沈人杰. 水系统集成优化——节水减排的系统综合方法[M]. 北京: 化学工业出版社, 2008.
	FENG Xiao, LIU Yonzhong, SHEN Renjie. Integration optimization of the water systems—System synthesis approaches for water conservation and waste water minimization[M]. Beijing: Chemical Industry Press, 2008.
30	FOO D C Y. 过程集成方法与技术——资源的有效利用[M]. 贾小平, 李智伟, 王芳, 译. 北京:化学工业出版社, 2016.
	FOO D C Y. Process integration for resource conservation[M]. JIA Xiaoping, LI Zhiwei, WANG Fang, trans. Beijing: Chemical Industry Press, 2010.
31	GARCIA Daniel J, YOU Fengqi. The water-energy-food nexus and process systems engineering: a new focus[J]. Computers & Chemical Engineering, 2016, 91: 49-67.
32	LI Yue, WEI Jiawen, YUAN Zhihong, et al. Sustainable synthesis of integrated process, water treatment, energy supply, and CCUS networks under uncertainty[J]. Computers & Chemical Engineering, 2022, 157: 107636.
33	Automation systems and integration—Assessment on convergence of informatization and industrialization for industrial enterprises— Part 1: Framework and reference model: [S]. 2020-
34
35	Automation systems and integration — Assessment on convergence of informatization and industrialization for industrial enterprises—Part 2: Maturity model and evaluation methodology: [S]. 2020-
36
37	汪恭书, 唐立新. 连铸-轧制生产中带有批决策的排序问题的建模与优化方法[J]. 自动化学报, 2012, 38(10): 1713-1720.
	WANG Gongshu, TANG Lixin. Modelling and optimization methods for the sequencing problem with batching decision in the continuous-casting and rolling production[J]. Acta Automatica Sinica, 2012, 38(10): 1713-1720.
38	汪恭书, 刘静宜, 唐立新. 连铸-轧制混流生产模式下轧批调度问题的分支-定价算法[J]. 自动化学报, 2017, 43(7): 1178-1189.
	WANG Gongshu, LIU Jingyi, TANG Lixin. Branch-and-price algorithm for rolling batch scheduling problem in continuous-casting and rolling processes with hybrid production mode[J]. Acta Automatica Sinica, 2017, 43(7): 1178-1189.
39	孙彦广, 梁青艳, 李文兵, 等. 基于能量流网络仿真的钢铁工业多能源介质优化调配[J]. 自动化学报, 2017, 43(6): 1065-1079.
	SUN Yanguang, LIANG Qingyan, LI Wenbing, et al. Steel industry multi-type energy optimized scheduling with energy flow network simulation[J]. Acta Automatica Sinica, 2017, 43(6): 1065-1079.
40	梁青艳, 孙彦广. 基于能源网络节点输入输出模型的能量流动态仿真[J]. 冶金自动化, 2019, 43(3): 17-24.
	LIANG Qingyan, SUN Yanguang. Dynamic simulation of energy flow based on input and output models of energy network nodes[J]. Metallurgical Industry Automation, 2019, 43(3): 17-24.
41	赵俊贵, 李德芳, 覃伟中. 中国石化智能工厂建设推进制造业迈向中高端[J]. 化工管理, 2015(31): 13-15.
	ZHAO Jungui, LI Defang, QIN Weizhong. The construction of smart plan in SINOPEC company putting forward manufacture enterprises toward upscale[J]. Chemical Enterprise Management, 2015(31): 13-15.
42	覃伟中, 谢道雄, 赵劲松. 石油化工智能制造[M]. 北京: 化学工业出版社, 2019.
	QIN Weizhong, XIE Daoxiong, ZHAO Jinsong. Smart optimization manufacturing in petrochemical industries[M]. Beijing: Chemical Industry Press, 2019.
43	李德芳, 蒋白桦, 赵劲松. 石化工业数字化智能化转型[M]. 北京: 化学工业出版社, 2022.
	LI Defang, JIANG Baihua, ZHAOjinsong. Digital and smart transformation in petrochemical industries[M]. Beijing: Chemical Industry Press, 2022.
44	张智峰, 刘小杰, 李欣, 等. 大数据与工业4.0时代下高炉炼铁流程智能化发展现状与展望[J]. 冶金自动化, 2021, 45(6): 8-16.
	ZHANG Zhifeng, LIU Xiaojie, LI Xin, et al. Status and prospect of intelligent development of blast furnace ironmaking process in the era of big data and industry 4.0[J]. Metallurgical Industry Automation, 2021, 45(6): 8-16.
45	钱锋, 杜文莉, 钟伟民, 等. 石油和化工行业智能优化制造若干问题及挑战[J]. 自动化学报, 2017, 43(6): 893-901.
	QIAN Feng, DU Wenli, ZHONG Weimin, et al. Problems and challenges of smart optimization manufacturing in petrochemical industries[J]. Acta Automatica Sinica, 2017, 43(6): 893-901.
46	杨友麒, 贾小平, 石磊. 水网络与虚拟水的过程系统工程研究进展[J]. 化工学报, 2015, 66(1): 32-51.
	YANG Youqi, JIA Xiaoping, SHI Lei. Progress of process systems engineering for water network and virtual water studies[J]. CIESC Journal, 2015, 66(1): 32-51.
47	贾小平, 石磊, 杨友麒. 工业园区生态化发展的挑战与过程系统工程的机遇[J]. 化工学报, 2021, 72(5): 2373-2391.
	JIA Xiaoping, SHI Lei, YANG Youqi. Challenges of eco-industrial parks development and opportunities for process systems engineering[J]. CIESC Journal, 2021, 72(5): 2373-2391.
48	赵劲松, 陈网桦, 鲁毅, 等. 化工过程安全[M]. 北京: 化学工业出版社, 2015.
	ZHAO Jinson, CHEN Wanghua, LU Yi, et al. Safety of the chemical processes[M]. Beijing: Chemical Industry Press. 2015.
49	SHU Yidan, MING Liang, CHENG Feifan, et al. Abnormal situation management: challenges and opportunities in the big data era[J]. Computers & Chemical Engineering, 2016, 91: 104-113.

[1]	杨建平. 降低HPPO装置反应系统原料消耗的PSE[J]. 化工进展, 2023, 42(S1): 21-32.
[2]	舒斌, 陈建宏, 熊健, 吴其荣, 喻江涛, 杨平. 碳中和目标下推动绿色甲醇发展的必要性分析[J]. 化工进展, 2023, 42(9): 4471-4478.
[3]	孙旭东, 赵玉莹, 李诗睿, 王琦, 李晓健, 张博. 我国地方性氢能发展政策的文本量化分析[J]. 化工进展, 2023, 42(7): 3478-3488.
[4]	王子宗, 索寒生, 赵学良, 闫雅琨. 数字孪生智能乙烯工厂工业互联网平台的设计与构建[J]. 化工进展, 2023, 42(10): 5029-5036.
[5]	朱佳兴, 郝琳, 刘国钊, 卫宏远. 化工过程本质安全评估方法研究进展与展望[J]. 化工进展, 2022, 41(8): 4009-4024.
[6]	慕彦君, 宋倩倩, 王红秋, 付凯妹, 雪晶, 王春娇. 美国炼化行业低碳发展策略与启示[J]. 化工进展, 2022, 41(6): 2797-2805.
[7]	苗青青, 石春艳, 张香平. 碳中和目标下的光伏发电技术[J]. 化工进展, 2022, 41(3): 1125-1131.
[8]	闫国春, 温亮, 张华. 现代煤化工产业发展路径分析[J]. 化工进展, 2022, 41(12): 6201-6212.
[9]	郑龙珠, 苏晓竞, 李红强, 官航, 古孜努尔·阿巴白克力null, 冯海洋, 韦业, 赖学军, 曾幸荣. 功能性超疏水表面的构建及其应用进展[J]. 化工进展, 2021, 40(5): 2634-2645.
[10]	潘一, 徐明磊, 侯冰, 郭奇, 杨双春, KANTOMA Daniel Bala. 温敏聚合物在油气开采中的研究进展[J]. 化工进展, 2021, 40(4): 2109-2119.
[11]	冯阳阳, 赵众从, 杨文博, 胡琳琪, 张文达, 佘跃惠. 微生物合成金属纳米颗粒及在稠油催化降黏中的应用研究进展[J]. 化工进展, 2021, 40(4): 2215-2226.
[12]	张梦轩, 刘洪辰, 王敏, 蓝兴英, 石孝刚, 高金森. 化工过程的智能混合建模方法及应用[J]. 化工进展, 2021, 40(4): 1765-1776.
[13]	谭天伟, 陈必强, 张会丽, 崔子恒. 加快推进绿色生物制造　助力实现“碳中和”[J]. 化工进展, 2021, 40(3): 1137-1141.
[14]	杨挺. 中国化工园区建设管理的“六个一体化”[J]. 化工进展, 2021, 40(10): 5845-5853.
[15]	何盛宝. 新形势下我国化工行业的创新与发展[J]. 化工进展, 2021, 40(1): 1-5.