Two‐level multi‐block operating performance optimality assessment for plant‐wide processes

Zou, Xiaoyu; Wang, Fuli; Chang, Yuqing; Zhao, Luping; Zheng, Wei

doi:10.1002/cjce.23159

Cited by 14 publications

(6 citation statements)

References 31 publications

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“…Thus, the VEC model is a VAR model with cointegration constraints. Since there is a cointegration relationship in the VEC model, when there are many short-run dynamic fluctuations, VEC expression can limit the long-run behavior of the endogenous variables and become convergent with their cointegration relationship (Zou et al, 2018(Zou et al, , 2020. The equations of the causality model for vector fatigue correction in the study are presented as follows:…”

Section: The Vector Error Correction Model Granger Causalitymentioning

confidence: 99%

The Relationship between Air Pollution, Economic Growth, and Life Expectancy: Empirical Evidence from Indonesia

et al. 2022

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This study investigates the relationship between air pollution, economicgrowth, and life expectancy in Indonesia. The observation periodduring 1985-2019 used time-series data obtained from the WorldBank. Quantitative approach by applying two main models, namelythe autoregressive distributed lag (ARDL) model by considering theeffect of time-lapse and Granger causality with vector error correctionmethod. Research findings prove that air pollution has a negativeand significant effect on life expectancy in the long run. Economicgrowth has a positive and significant effect on life expectancy. In theshort run, the current life expectancy is positively and significantlyinfluenced by the life expectancy of the previous period. Air pollutionhas a negative and significant effect on life expectancy, and economicgrowth has a negative and significant effect on life expectancy. Anotherfinding in the Granger causality model is a two-way relationshipbetween air pollution and life expectancy. Other evidence exists of atwo-way relationship between economic growth and air pollution. Inaddition, evidence of a unidirectional relationship of economic growthwith life expectancy in the short run. The cointegration equationshows evidence of a long-run relationship between air pollution,economic growth, and life expectancy.

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Section: The Vector Error Correction Model Granger Causalitymentioning

confidence: 99%

The Relationship between Air Pollution, Economic Growth, and Life Expectancy: Empirical Evidence from Indonesia

et al. 2022

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“…The top cited articles in The Canadian Journal of Chemical Engineering have focused on plant statistics and reviews/surveys: ‘Survey on the Theoretical Research and Engineering Applications of Multivariate Statistics Process Monitoring Algorithms: 2008–2017’ (114 citations and the 33rd highest number of citations), [ 33 ] ‘Chemical Engineering Research Synergies Across Scientific Categories’ (22 citations), [ 34 ] ‘A Novel Data‐Driven Methodology for Fault Detection and Dynamic Risk Assessment’ (9 citations), [ 35 ] and ‘Two‐Level Multi‐Block Operating Performance Optimality Assessment for Plant‐Wide Processes’ (8 citations). [ 36 ]…”

Section: Applicationsmentioning

confidence: 99%

Experimental methods in chemical engineering: Hazard and operability analysis—HAZOP

et al. 2022

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Hazards and operability analysis (HAZOP) is one of a dozen-structured Process Hazards Analysis (PHA) methodologies that assess risks associated with operating processes to mitigate their consequences. HAZOP applies to all six stages of process design from discovery to decommissioning. Industry massively adopted PHA methodologies as a consequence of several industrial disasters in the 1970s that increased society's scrutiny of chemical operations. HAZOPs are conducted by multidisciplinary teams that rely on a set of guide words in combination with the system parameters to identify deviations from the design intent. The team discuss the causes and consequences of deviations, and the project owner modifies the process accordingly. It relies on heuristics rather than algorithms, so the formal structure gives practitioners the false sense that the analysis is comprehensive. Academic institutions increasingly apply PHAs to experimental work, but the scope of a HAZOP is often ill-suited for this environment as it requires dedicated personnel with particular expertise. Here, we outline the essential features of a HAZOP analysis for early career researchers engaging in process development for conditions that include, for example, high temperature, high pressure, toxic compounds (Hg, phosgene, CO), and potentially explosive and flammable mixtures like organic peroxides. Web of Science indexed over 100 000 documents that mention safety in 2021 and assigned 1500 to chemical engineering. A bibliometric analysis grouped them into five clusters: (1) lithium ion batteries and nanoparticles, (2) fire, simulation, and combustion, (3) models, risk, systems, and techniques (including HAZOP), (3) models, risk, systems, and techniques (including HAZOP), (4) water treatment, and (5) mechanisms and thermal runaway.

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“…The essential operating rules are buried in the data which can be deeply mined though data analyzing techniques. Zou et al , and Chang et al utilized a hierarchical model based on data mining techniques to characterize a plant-wide chemical process. Liu et al conducted multiple hypotheses testing operating performance assessment for multiphase uneven-length batch processes, but the division of variable sub-blocks or time phases was not fully investigated, and the effect of the division on assessing accuracy was not considered.…”

Section: Introductionmentioning

confidence: 99%

Linearity Decomposition-Based Cointegration Analysis for Nonlinear and Nonstationary Process Performance Assessment

Zou

Zhao

Gao

2020

Ind. Eng. Chem. Res.

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The assessment of operating performance plays an important role in guaranteeing high efficiency, low cost, large economic benefit, etc., for modern industry under routine operating conditions. However, the nonlinear and nonstationary properties that widely exist in real industrial processes, make it a great challenge to obtain accurate assessment of operating performance. To solve the problem of performance assessment for nonstationary processes with nonlinearly cointegrated relationships, the linearity decomposition based cointegration analysis (CA) is proposed through multi-objective optimization in the present work. First, the nonstationary critical-to-performance variables are selected to remove the redundant information and improve the accuracy for assessment. Second, the selected nonstationary critical-to-performance variables are then decomposed into a set of local sub-blocks. Each sub-block contains a group of linearly cointegrated variables, based on which a two-layer multiblock assessing model can be established for nonlinear and nonstationary process using CA. Bayesian inference based criterion is adopted to indicate the operating performance for online assessment. Finally, the feasibility and efficacy are illustrated via a numerical example and a pulverizing process of a real thermal power plant.

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Two‐level multi‐block operating performance optimality assessment for plant‐wide processes

Cited by 14 publications

References 31 publications

The Relationship between Air Pollution, Economic Growth, and Life Expectancy: Empirical Evidence from Indonesia

The Relationship between Air Pollution, Economic Growth, and Life Expectancy: Empirical Evidence from Indonesia

Experimental methods in chemical engineering: Hazard and operability analysis—HAZOP

Linearity Decomposition-Based Cointegration Analysis for Nonlinear and Nonstationary Process Performance Assessment

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