Slow-release optimization of heat exchange networks based on sustainable energy saving

doi:10.16085/j.issn.1000-6613.2020-0065

Abstract

Abstract:

In the case of the existing heat exchanger networks, the control system is applied to operate online and save energy continuously. However considering the whole life cycle running of the heat exchanger networks, the operating margins and the control freedoms are required to ensure a sustainable, profitable and safe operation. In this paper, the research progress of heat exchanger networks was analyzed from the perspective of process design and control system design. Then, a method of margin slow-release optimization was proposed based on sustainable energy saving, which was able to realize the rational use of margin under the condition of given margin to ensure the continuous control of the system and to prove the effectiveness of the method through examples.

Key words: heat exchange networks, control system design, margin design, slow-release optimization

摘要：

针对给定的换热网络，应用在线控制来实现系统的持续节能，然而在换热网络运行的全生命周期内，需要考虑操作裕量和控制的自由度来保证系统的可持续性、经济性和安全性等。本文从工艺设计、控制系统设计的角度对换热网络的研究进展进行阐述分析，并在此基础上提出一种可持续节能和缓释裕量的控制方法，并利用相位轨迹求解优化的切换点以使控制变量的变化最小，实现在给定裕量的条件下合理利用裕量，进而实现系统的持续可控，并通过实例证明方法的有效性。

关键词: 换热网络, 控制系统设计, 裕量设计, 缓释优化

CLC Number:

TQ021.8

Lin SUN, Mingda YANG, Xionglin LUO. Slow-release optimization of heat exchange networks based on sustainable energy saving[J]. Chemical Industry and Engineering Progress, 2020, 39(10): 3941-3948.

孙琳, 杨明达, 罗雄麟. 基于持续节能的换热网络缓释优化[J]. 化工进展, 2020, 39(10): 3941-3948.

References

1	FANG Y, QUN C. Two energy conservation principles in convective heat transfer optimization[J]. Energy, 2011, 36: 5476-5485.
2	CHEN Q, WANG M, PAN N, GUO Z. Optimization principles for convective heat transfer[J]. Energy, 2009, 34: 1199-1206.
3	MIRANDA C B, COSTA C B B, CABALLERO J A, et al. Optimal synthesis of multiperiod heat exchanger networks: a sequential approach[J]. Applied Thermal Engineering, 2017, 115: 1187-1202.
4	ZHENG K, LOU H H, WANG J, et al. A method for flexible heat exchanger network design under severe operation uncertainty[J]. Chemical Engineering and Technology, 2013, 36(5): 757-765.
5	王传芳, 罗雄麟. 控制裕量及其在管壳式换热器中的应用[J]. 炼油技术与工程, 2004, 34(2): 21-24.
5	WANG Chuanfang, LUO Xionglin. Control margin and its application in shell-and-tube heat exchangers[J]. Petroleum Refinery Engineering, 2004, 34(2): 21-24.
6	孙琳, 迟进浩, 罗雄麟. 换热器设计裕量与旁路设计分析[J]. 计算机与应用化学, 2008, 25(11): 1369-1373.
6	SUN Lin, CHI Jinhao, LUO Xionglin. The analysis of the overdesign and the bypass design for the heat exchanger[J]. Computer and Applied Chemistry, 2008, 25(11): 1369-1373.
7	RICHARD L, RUDY M, RUDY T, ROSENTHALL E. Risk-based design margin selection for heat exchangers[J]. Heat Transfer Engineering, 2011, 32: 307-313.
8	RICHARD L. Fouling and uncertainty margins in tubular heat exchanger design: an alternative[J]. Heat Transfer Engineering, 2012, 33(13): 1094-1104.
9	沈静珠. 过程系统优化[M]. 北京: 机械工业出版社, 1990.
9	SHEN Jingzhu. Process system optimization[M]. Beijing: Machinery Industry Press, 1990.
10	朱真, 孙琳, 罗雄麟. 基于持续节能的多周期换热网络优化设计[J]. 化工学报, 2016, 67(2): 358-363.
10	ZHU Zhen, SUN Lin, LUO Xionglin. Design optimization of multi-period heat exchanger networks based on continuous energy saving[J]. CIESC Journal, 2016, 67(2): 358-363.
11	MATHISEN, SKOGESTAD K, WOLF E. Controllability of heat exchanger networks[C]// AIChE Annual Meeting, Los Angeles, 1991: 152.
12	YUAN Z Y, CHEN B Z, ZHAO J S. An overview on controllability analysis of chemical processes[J]. AIChE Journal, 2011, 57(5): 1185-1201.
13	ESCOBAR M, TRIERWEILER J O, GROSSMANN I E. Simultaneous synthesis of heat exchanger networks with operability considerations: flexibility and controllability[J]. Computers & Chemical Engineering, 2013, 55: 158-180.
14	MATHISEN, SKOGESTAD K, WOLF E. Bypass selection for control of heat exchanger networks[J]. Computer & Chemical Engineering, 1992, 16(1): 263-272.
15	曹玉波, 王杏, 郝丽雯, 等. 换热网络闭环柔性控制与优化研究[J]. 石油炼制与化工, 2018, 49(2): 90-94.
15	CAO Yubo, WANG Xing, HAO Liwen, et al. Research on closed-loop flexible control and optimization of heat exchange network[J]. Petroleum Processing and Petrochemicals, 2018, 49(2): 90-94.
16	LERSBAMRUNGSUK V, SRINOPHAKUN T, NARASIMHAN S, et al. Control structure design for optimal operation of heat exchanger networks[J]. AIChE Journal, 2010, 54(1): 150-162.
17	HERNANDEZ S, BALCAZAR L, SANCHEZ J, et al. Controllability and operability analysis of heat exchanger networks including bypasses[J]. Chemical Biochemical Engineering Quarterly, 2010, 24(1): 23-28.
18	DELELATORE F, NOVAZZI L, LEONARDI F, et al. Multivariable optimal control of a heat exchanger network with bypasses[J]. Brazilian Journal of Chemical Engineering, 2016, 33(1): 133-143.
19	KAYS W, LONDON A. Compact heat exchangers[M]. New York: Graw-Hill Companies, 1993.
20	俞巧心, 崔国民, 张佳仁. 基于一阶滞后传递函数的换热器模型预测控制[J]. 化学工程, 2012, 40(5): 66-69.
20	YU Qiaoxin, CUI Guomin, ZHANG Jiaren. Model predictive control of heat exchanger based on first-order delay transfer function[J]. Chemical Engineering, 2012, 40(5): 66-69.
21	ARBAOUI M L, VERNIèRES H, SEGUIN D, et al. Counter-current tubular heat exchanger: modeling and adaptive predictive functional control[J]. Applied Thermal Engineering, 2007, 27(13): 2332-2338.
22	ALEJANDRO H. GONZáLEZ, ODLOAK D, MARCHETTI J. Predictive control applied to heat-exchanger networks[J]. Chemical Engineering and Processing, 2006, 45(8): 661-671.
23	张磊, 徐翔, 陈斌. 原油换热网络多变量预测控制[J]. 计算机与应用化学, 2012, 29(2): 237-239.
23	ZHANG Lei, XU Xiang, CHEN Bin. Multivariable predictive control of crude oil heat exchange network[J]. Computer and Applied Chemistry, 2012, 29(2): 237-239.
24	MONIKA B, ORAVEC J. Robust model predictive control for heat exchanger network[J]. Applied Thermal Engineering, 2014, 73: 924-930.
25	ORAVEC J, MONIKA B, MéSZáROS A. Comparison of robust model-based control strategies used for a heat exchanger network[J]. Chemical Engineering Transactions, 2015, 45: 397-402.
26	SUBHRA R, JEHADEESAN R, RAJESWARI S. Artificial neural network model for intermediate heat exchanger of nuclear reactor[J]. International Journal of Computer Applications, 2010, 26(1): 65-72.
27	VASICKANINOVA A, BAKOSOVA M, MESZAROS A, et al. Neural network predictive control of a heat exchanger[J]. Chemical Engineering Transactions, 2010, 21: 73-78.
28	VASICKANINOVA A, BAKOSOVA M. Control of a heat exchanger using neural network predictive controller combined with auxiliary fuzzy controller[J]. Applied Thermal Engineering, 2015, 89: 1046-1053.
29	席裕庚, 李德伟, 林姝. 模型预测控制——现状与挑战[J]. 自动化学报, 2013, 39(3): 222-236.
29	XI Yugeng, LI Dewei, LIN Shu. Model predictive control—Status and challenges[J]. Acta Automatica Sinica, 2013, 39(3): 222-236.
30	OSMAN A, SUN L, CHANG R X, et al. Synthesis of a multi-pass heat exchanger network based on life cycle energy saving [J]. Applied Thermal Engineering, 2016, 100: 1189-1197.
31	HEBERT Lugo-Ganados, MARTíN Picon Nunez. Modelling scaling growth in heat transfer surfaces and its application on the design of heat exchangers[J]. Energy, 2018, 160: 845-854.
32	ABUHANLIMA O, SUN L, CHANG R X, et al. Synthesis of a multi-pass heat exchanger network based on life cycle energy saving[J]. Applied Thermal Engineering, 2016, 100: 1189-1197.
33	HERNáNDEZ S, BALCAZAR-LóPEZ L, SáNCHEZ-MáRQUEZ J A, et al. Controllability and operability analysis of heat exchanger networks including bypasses[J]. Chemical and Biochemical Engineering Quarterly, 2010, 24(1): 23-28.
34	夏车奎, 罗雄麟, 孙琳. 基于全周期节能的有旁路换热网络裕量优化设计[J]. 化工学报, 2012, 63(5): 1449-1457.
34	XIA Chekui, LUO Xionglin, SUN Lin. Margin optimal design of heat exchanger network with bypasses based on life cycle energy saving[J]. CIESC Journal, 2012, 63(5): 1449-1457.
35	SUN L, ZHA X L, LUO X L. Coordination between bypass control and economic optimization for heat exchanger network[J]. Energy, 2018, 160: 318-329.
36	GROSSMANN I E, CALFA B, GARCIA H. Evolution of concepts and models for quantifying resiliency and flexibility of chemical processes[J]. Computer & Chemical Engineering, 2014, 70: 22-34.
37	LINNHOFF B, HINDMARSH E. The pinch design methods for heat exchanger networks[J]. Chemical Engineering Science, 1983, 38(5): 745-763.

[1]	ZHANG Ruijie, LIU Zhilin, WANG Junwen, ZHANG Wei, HAN Deqiu, LI Ting, ZOU Xiong. On-line dynamic simulation and optimization of water-cooled cascade refrigeration system [J]. Chemical Industry and Engineering Progress, 2023, 42(S1): 124-132.
[2]	WANG Fu'an. Consumption and emission reduction of the reactor of 300kt/a propylene oxide process [J]. Chemical Industry and Engineering Progress, 2023, 42(S1): 213-218.
[3]	ZENG Siying, YANG Minbo, FENG Xiao. Machine learning-based prediction of coalbed methane composition and real-time optimization of liquefaction process [J]. Chemical Industry and Engineering Progress, 2023, 42(10): 5059-5066.
[4]	ZHU Tianyu, SUN Lin, REN Chao, LUO Xionglin. Sliding window analysis and slow-release margin optimal control for heat exchanger networks based on full cycle sustainable energy saving [J]. Chemical Industry and Engineering Progress, 2023, 42(3): 1195-1205.
[5]	WANG Lu, ZHANG Lei, DU Jian. High-throughput screening of zeolite materials for CO₂/N₂ selective adsorption separation by machine learning [J]. Chemical Industry and Engineering Progress, 2023, 42(1): 148-158.
[6]	ZHAO Huacong, ZHU Weixuan, YE Haotian, DONG Hongguang. Research on synchronous optimization of steam power system for processing units and thermal power plant operation [J]. Chemical Industry and Engineering Progress, 2022, 41(S1): 44-53.
[7]	LIU Hongbin, CUI Guomin, ZHOU Zhiqiang, XIAO Yuan, ZHANG Guanhua, YANG Qiguo. Parallel double-layer RWCE algorithm for heat exchanger network optimization [J]. Chemical Industry and Engineering Progress, 2022, 41(10): 5247-5258.
[8]	YANG Youqi, CHEN Bingzhen. PSE in China: retrospect and prospects [J]. Chemical Industry and Engineering Progress, 2022, 41(8): 3991-4008.
[9]	XIANG Sheng, WANG Chao, ZHUANG Yu, GU Siwen, ZHANG Lei, DU Jian. Design and control of pressure-swing distillation for separating methyl acetate-methanol-ethyl acetate azeotropic system [J]. Chemical Industry and Engineering Progress, 2022, 41(8): 4065-4076.
[10]	JIANG Ning, ZHANG Yuanyi, FAN Wei, ZHAO Shichao, XU Xinjie, XU Yingjie. Cleaning decision of heat exchanger network based on intelligent prediction and mechanism [J]. Chemical Industry and Engineering Progress, 2022, 41(4): 1781-1792.
[11]	FU Chaoqian, WANG Dunjin, MENG Lingfu. Analysis on energy saving and carbon reduction of reboiler with steam compression technology [J]. Chemical Industry and Engineering Progress, 2021, 40(S2): 20-24.
[12]	BI Rongshan, ZHANG Yan, CHEN Yanzhen, SUN Yinghui, CHEN Lunbo, WANG Mingze, XIA Li, SUN Xiaoyan, XIANG Shuguang. Simulation and economic evaluation of one step dehydrogenation of isopentane to produce isoprene [J]. Chemical Industry and Engineering Progress, 2021, 40(11): 5961-5966.
[13]	HAN Rusong, JIANG Yinghua, KANG Lixia, LIU Yongzhong. Analysis of fluctuation suppressing characteristics for hydrogen network coupled with wind power generation system [J]. Chemical Industry and Engineering Progress, 2021, 40(11): 6071-6078.
[14]	ZHANG Mengxuan, LIU Hongchen, WANG Min, LAN Xingying, SHI Xiaogang, GAO Jinsen. Intelligence hybrid modeling method and applications in chemical process [J]. Chemical Industry and Engineering Progress, 2021, 40(4): 1765-1776.
[15]	Ning JIANG, Shichao ZHAO, Xiaodong XIE, Wei FAN, Xinjie XU, Yingjie XU. Retrofit of heat integrated system of crude oil distillation system with multi-energy complementation by waste heat recovery [J]. Chemical Industry and Engineering Progress, 2021, 40(2): 652-663.