A novel fast dynamic optimization approach for complex multivariable chemical process systems

Liu, Ping; Li, Guodong; Liu, Xinggao; Zhang, Zeyin

doi:10.1002/cjce.22633

Cited by 9 publications

(5 citation statements)

References 45 publications

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“…In other words, the zinc dust addition rate must remain constant during this period. This paper uses the control vector parameterization method to transform the optimal control problem into a parameter optimization problem, which can significantly reduce the computation complexity. Suppose the rolling optimization always starts at t 0 , the prediction horizon and the control horizon are all set as P steps.…”

Section: Time‐varying Icstr Model‐based Predictive Control For the Sementioning

confidence: 99%

Dynamic modelling and predictive control for the sequential collaborative reactors of cobalt removal process under time‐varying conditions

et al. 2019

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The accuracy of the process model directly affects the performance of the model‐based controller. In zinc hydrometallurgy, the overall dynamics of the cobalt removal process can hardly be described by a fixed model since there are a series of interconnected reactors working together under time‐varying inlet and reaction conditions. In this study, an interacting continuously stirred tank reactors (ICSTR) model is developed to describe the cooperative relationship of these cascaded reactors. Considering the time‐varying inlet and reaction conditions, the reaction surface conversion coefficient is defined and incorporated into the ICSTR model, and the kernel partial least squares (KPLS) is employed to update the dynamic model online. The effectiveness of the time‐varying ICSTR model is validated using industrial data. Based on the proposed time‐varying ICSTR model, a predictive controller is designed to realize the optimal operation of the cobalt removal process. Simulation results indicate that compared with conventional predictive control and manual manipulation, the time‐varying ICSTR model‐based predictive control method can not only maintain the outlet cobalt ion concentration but also reduce the zinc dust dosage.

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Section: Time‐varying Icstr Model‐based Predictive Control For the Sementioning

confidence: 99%

Dynamic modelling and predictive control for the sequential collaborative reactors of cobalt removal process under time‐varying conditions

et al. 2019

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“…[45] . 硫化后纳米零价铁性质的变化与其表面化学和晶相转化密切相关. Su 等 [46] [44] Peaks are referred to magnetite Fe 3 O 4 (M) 图 9 纳米零价铁在水相反应中表面化学和晶相转化模型图 Figure 9 A concept model of nZVI surface chemistry and crystal phase evolution in aquatic medium…”

Section: 纳米零价铁表面化学和晶相结构mentioning

confidence: 99%

“…Figure 8 nZVI, nZVI APAM and nZVI CMC corroded aerobically for 2 h. (a) SEM; (b) XRD; (c) Ni(II) removal[44] …”

mentioning

confidence: 99%

Surface Chemistry and Phase Transformation of Nanoscale Zero-Valent Iron (nZVI) in Aquatic Media

Liu¹,

Gu²,

Wang³

et al. 2019

Acta Chim. Sinica

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The unique "core-shell" structure endows nanoscale zero-valent iron (nZVI) rich aquatic surface chemistry properties. Transformation of surface chemistry and crystal phase of nZVI affect its reactivity and environmental transport and fate. Recent advances on the surface chemistry and phase transformation of nZVI in aqueous media are highlighted in this paper focusing on a basic theory of nZVI for pollution control and environmental application. Surface chemistry and phase of both fresh and reacted nZVI are presented. The structure, composition and properties of nanoparticles are determined not only by reaction time but also by environmental conditions. Specifically, the influences of dissolved oxygen, hydraulic conditions (static and stirring), types and concentrations of heavy metals (U(VI), Cr(VI), Se(IV)) and anions (HPO − and 3 HCO − ) are investigated. In addition, the effect of surface modification with polyelectrolytes, including anionic polyacrylamide (APAM) and carboxymethylcellulose sodium (CMC), on microstructure, morphology and composition of nanoparticles in aqueous phase was discussed. Results demonstrate that environmental conditions have significant impacts on particles structure, composition and properties, consequently on nZVI performance for pollutant removal. After corrosion under different aqueous conditions, the core-shell structured nZVI are distorted and the metallic iron core is transformed into different iron oxides/hydroxides, such as γ-Fe 2 O 3 , Fe 3 O 4 and γ-FeOOH. These iron (hydr)oxides exhibit different surface complexation and affinity proprieties, thus eventually affecting the pollutant removal performance and the environmental fate of reaction products. More research on the effect of dynamic structure transformation by different types of pollutants, and a reaction model between the surface chemistry/phase transformation and removal performance are needed to deepen our understanding on nZVI surface chemistry, and develop more effective technologies of environmental applications. Keywords nanoscale zero-valent iron; aquatic media; surface chemistry; crystal phase; transformation 1 引言铁的标准氧化还原电位为-0.44 V, 零价铁材料 (Zero-Valent Iron, ZVI)因其强还原能力、良好的电化学和配位化学特性 [1～4] , 在环境修复领域被广泛应用. 纳米零价铁(nanoscale Zero-Valent Iron, nZVI)不但具有零

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“…The schematic of a typical fed‐batch reactor is presented in Fig. as illustration . The objective is to find the optimal temperature profile that maximizes the target product B at the final time of an operation in a batch reactor, where the reaction A → B → C takes place.…”

Section: Case Studiesmentioning

confidence: 99%

Control Vector Parameterization‐Based Adaptive Invasive Weed Optimization for Dynamic Processes

et al. 2018

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A novel optimal approach named invasive weed optimization‐control vector parameterization (IWO‐CVP) for chemical dynamic optimization problems is proposed where CVP is used to transform the problem into a nonlinear programming (NLP) problem and an IWO algorithm is then applied to tackle the NLP problem. To improve efficiency, a new adaptive dispersion IWO‐based approach (ADIWO‐CVP) is further suggested to maintain the exploration ability of the algorithm throughout the entire searching procedure. Several classic chemical dynamic optimization problems are tested and detailed comparisons are carried out among ADIWO‐CVP, IWO‐CVP, and other methods. The research results demonstrate that ADIWO‐CVP not only is efficient, but also outperforms IWO‐CVP in terms of both accuracy and convergence speed.

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A novel fast dynamic optimization approach for complex multivariable chemical process systems

Cited by 9 publications

References 45 publications

Dynamic modelling and predictive control for the sequential collaborative reactors of cobalt removal process under time‐varying conditions

Dynamic modelling and predictive control for the sequential collaborative reactors of cobalt removal process under time‐varying conditions

Surface Chemistry and Phase Transformation of Nanoscale Zero-Valent Iron (nZVI) in Aquatic Media

Control Vector Parameterization‐Based Adaptive Invasive Weed Optimization for Dynamic Processes

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