Multi-objective optimization and dynamic control of biogas pressurized water scrubbing process

被引：16

作者：

Gao, Shida ^{[1
]}

Bo, Cuimei ^{[1
]}

Li, Jun ^{[1
]}

Niu, Chao ^{[1
]}

Lu, Xiaohua ^{[2
]}

机构：

[1] Nanjing Tech Univ, Coll Automat & Elect Engn, Nanjing 211816, Jiangsu, Peoples R China

[2] Nanjing Tech Univ, State Key Lab Mat Oriented Chem Engn, Nanjing 210009, Jiangsu, Peoples R China

来源：

RENEWABLE ENERGY | 2020年 / 147卷

基金：

中国国家自然科学基金; 国家重点研发计划;

关键词：

Biogas pressurized water scrubbing; NSGA-II; Multi-objective optimization; Dynamic control; SELECTION; ENERGY;

D O I：

10.1016/j.renene.2019.10.022

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

For the biogas pressurized water scrubbing process, a plant-level optimizing control system based on the enhanced non-dominated sorting genetic algorithm (NSGA-II) is researched in this paper. According to the technological requirements of the biogas pressurized water scrubbing process, a steady state simulation system is established using Aspen Plus to analyze the constraint domain of the manipulated variables and optimize the operational variables. Under the multi-objective function of the total operating cost and purification effect, the Pareto optimal solutions with the constraints of feasible region of several variables are obtained using the NSGA-II algorithm. A plant-level dynamic control scheme is designed based on the optimal operating variables, and tested using the Aspen Dynamic simulation system. At last a pilot experimental device is developed based on the above optimized operating variables and the control scheme for the biogas pressurized water scrubbing process. The experimental results show that the system has good dynamic response performance, such as the removal rate of CO2 is greater than 99.8% under various disturbances. (C) 2019 Published by Elsevier Ltd.

引用

页码：2335 / 2344

页数：10

共 22 条

[1] Control and Profile Setting of Reactive Distillation Column for Benzene Chloride Consecutive Reaction System [J].

Bo, Cuimei ;

Tang, Jihai ;

Cui, Mifen ;

Feng, Kangkang ;

Qiao, Xu ;

Gao, Furong .

INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, 2013, 52 (49) :17465-17474

[2] Modeling and simulation of high pressure water scrubbing technology applied for biogas upgrading [J].

Cozma, Petronela ;

Wukovits, Walter ;

Mamaliga, Ioan ;

Friedl, Anton ;

Gavrilescu, Maria .

CLEAN TECHNOLOGIES AND ENVIRONMENTAL POLICY, 2015, 17 (02) :373-391

[3]

Cozma P, 2013, ENVIRON ENG MANAG J, V12, P147

[4] A fast and elitist multiobjective genetic algorithm: NSGA-II [J].

Deb, K ;

Pratap, A ;

Agarwal, S ;

Meyarivan, T .

IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION, 2002, 6 (02) :182-197

[5] Biogas to fuel by vacuum pressure swing adsorption - I. Behavior of equilibrium and kinetic-based adsorbents [J].

Grande, Carlos A. ;

Rodrigues, Alirio E. .

INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, 2007, 46 (13) :4595-4605

[6]

Han D.G., 2001, PHYS CHEM

[7] Economic Plantwide Control Over a Wide Throughput Range: A Systematic Design Procedure [J].

Jagtap, Rahul ;

Kaistha, Nitin ;

Skogestad, Sigurd .

AICHE JOURNAL, 2013, 59 (07) :2407-2426

[8] A review of the biogas industry in China [J].

Jiang, Xinyuan ;

Sommer, Sven G. ;

Christensen, Knud V. .

ENERGY POLICY, 2011, 39 (10) :6073-6081

[9] Factors affecting methane loss from a water scrubbing based biogas upgrading system [J].

Kapoor, Rimika ;

Subbarao, P. M. V. ;

Vijay, Virendra Kumar ;

Shah, Goldy ;

Sahota, Shivali ;

Singh, Dhruv ;

Verma, Mahesh .

APPLIED ENERGY, 2017, 208 :1379-1388

[10] Landfill gas upgrading with pilot-scale water scrubber: Performance assessment with absorption water recycling [J].

Lantela, J. ;

Rasi, S. ;

Lehtinen, J. ;

Rintala, J. .

APPLIED ENERGY, 2012, 92 :307-314

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