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1. Synthesis of heat integrated processing systems taking into account reliability

Author:
Orosz, Ákos; Kovács, Zoltán; Friedler, Ferenc
Source:
Energy 2019 v.181 pp. 214-225
ISSN:
0360-5442
Subject:
process design,   etc   ; heat; models;     Show all 3 Subjects
Abstract:
... Because of the ever increasing complexity of processing systems, the reliability becomes a key aspect in selecting the best process during process design. This is especially crucial if heat integration is also part of process design, because it increases the complexity of the system that may reduce its reliability. Since the selection of a process network during synthesis has major influence on th ...
DOI:
10.1016/j.energy.2019.05.173

2. Operating mode selection for the separation of intermediately-eluting components with countercurrent and centrifugal partition chromatography

Author:
Morley, Raena; Minceva, Mirjana
Source:
Journal of chromatography 2019 v.1594 pp. 140-148
ISSN:
0021-9673
Subject:
process design,   etc   ; countercurrent chromatography; equipment;     Show all 3 Subjects
Abstract:
... Two operating modes that can be used for the separation of intermediately-eluting target components from complex mixtures using solid support-free liquid-liquid chromatography (LLC) include batch injections and trapping multiple dual mode (trapping MDM). Batch injections offer the advantage of simpler equipment and process design, while the trapping MDM process, although more complex, can provide ...
DOI:
10.1016/j.chroma.2019.02.020

3. Minimized Test Times for Step and Pulse Responses of Slow Linear Processes

Author:
Lee, Friedrich Y.; Edgar, Thomas F.; Baldea, Michael; Lee, Jietae
Source:
Industrial & engineering chemistry process design and development 2019 v.58 no.27 pp. 12116-12123
ISSN:
1520-5045
Subject:
process design,   etc   ; chemistry; models; prediction;     Show all 4 Subjects
Abstract:
... Step and pulse responses have long been used to identify process dynamics and design control systems such as PID (proportional-integral-derivative) and model predictive control. They are simple and can represent different types of process dynamics intuitively. However, for some processes, long test times in the open-loop environment are required to obtain them. Here, utilizing the time-optimal con ...
DOI:
10.1021/acs.iecr.9b01609

4. Globally Optimal Design Optimization of Cooling Water Systems

Author:
Levy, Ana L. L.; Souza, Jaime N. M.; Bagajewicz, Miguel J.; Costa, André L. H.
Source:
Industrial & engineering chemistry process design and development 2019 v.58 no.22 pp. 9473-9485
ISSN:
1520-5045
Subject:
process design,   etc   ; cooling; linear models;     Show all 3 Subjects
Abstract:
... This study presents a globally optimal linear procedure for the simultaneous design of cooling water systems. The optimization entails obtaining optimal pipe diameters, pump selection, and detailed cooler design. For the latter, the Kern model and the linear formulation proposed by Gonçalves et al. (Ind. Eng. Chem. Res.2017, 56, 5970) were used. The proposed linear model is compared with conventi ...
DOI:
10.1021/acs.iecr.8b06478

5. Efficient Reconstruction of Granger-Causal Networks in Linear Multivariable Dynamical Processes

Author:
Kathari, Sudhakar; Tangirala, Arun K.
Source:
Industrial & engineering chemistry process design and development 2019 v.58 no.26 pp. 11275-11294
ISSN:
1520-5045
Subject:
process design,   etc   ; chemistry; models; topology;     Show all 4 Subjects
Abstract:
... Multivariable dynamical processes are characterized by complex cause and effect relationships among variables. Reconstruction of these causal connections from data, especially based on the concept of Granger causality (GC), has attracted significant attention in process engineering with applications to interaction assessment, topology reconstruction, and fault detection. The standard practice for ...
DOI:
10.1021/acs.iecr.8b06109

6. Computationally Efficient MILP Model for Scheduling a Branched Multiproduct Pipeline System

Author:
Liao, Qi; Castro, Pedro M.; Liang, Yongtu; Zhang, Haoran
Source:
Industrial & engineering chemistry process design and development 2019 v.58 no.13 pp. 5236-5251
ISSN:
1520-5045
Subject:
process design,   etc   ; linear programming; models;     Show all 3 Subjects
Abstract:
... This paper presents a novel mixed-integer linear programming (MILP) continuous-time formulation for the detailed scheduling of a branched pipeline system with a single refinery and multiple depots, rigorously accounting for forbidden product sequences in every line. The major advantage against previously published work is that the proposed model allows multiple batches to be processed by a node ov ...
DOI:
10.1021/acs.iecr.8b06490

7. Novel Multiblock Transfer Entropy Based Bayesian Network and Its Application to Root Cause Analysis

Author:
Zhu, Qun-Xiong; Luo, Yi; He, Yan-Lin
Source:
Industrial & engineering chemistry process design and development 2019 v.58 no.12 pp. 4936-4945
ISSN:
1520-5045
Subject:
process design,   etc   ; entropy; industry; models;     Show all 4 Subjects
Abstract:
... Bayesian network has been widely used as a powerful reasoning and knowledge expression tool to analyze toot causes. With the increasing scale and integration of modern process industries, building an accurate Bayesian network is more and more difficult but important. To solve this problem, a novel multiblock transfer entropy based Bayesian network model is proposed to make root cause analyses. Dev ...
DOI:
10.1021/acs.iecr.8b06392

8. Pore-Scale Study of Fluid Flow and Drag Force in Randomly Packed Beds of Different Porosities

Author:
Wu, Yongli; Hou, Qinfu; Yu, Aibing
Source:
Industrial & engineering chemistry process design and development 2019 v.58 no.12 pp. 5041-5053
ISSN:
1520-5045
Subject:
process design,   etc   ; industrial applications; models;     Show all 3 Subjects
Abstract:
... Understanding the relationship between a fluid flow and the structural properties of a bed is important for various industrial applications and a proper description of particle–fluid flow. This work presents a pore-scale study of fluid flow through randomly packed beds by a network model. The model incorporates the inertial effect and thus can be applied to flows of high Reynolds numbers. The resu ...
DOI:
10.1021/acs.iecr.8b06418

9. Output Feedback-Based Output Tracking Control with Adaptive Output Predictive Feedforward for Multiple-Input–Multiple-Output Systems

Author:
Mizumoto, Ikuro; Fujii, Seiya; Mita, Hiroshi
Source:
Industrial & engineering chemistry process design and development 2019 v.58 no.26 pp. 11382-11391
ISSN:
1520-5045
Subject:
process design,   etc   ; chemistry; systems engineering;     Show all 3 Subjects
Abstract:
... This paper proposes a two-degree-of-freedom adaptive output feedback control system design scheme with an adaptive output predictive feedforward for multiple-input–multiple-output (MIMO) LTI systems. In the proposed method, we first present a novel simple adaptive output estimator design scheme by introducing a parallel feedforward compensator. On the basis of the designed adaptive output estimato ...
DOI:
10.1021/acs.iecr.9b00107

10. Two-Bubble Class Approach Based on Measured Bubble Size Distribution for Bubble Columns with and without Internals

Author:
Möller, Felix; Kipping, Ragna; Lavetty, Craig; Hampel, Uwe; Schubert, Markus
Source:
Industrial & engineering chemistry process design and development 2019 v.58 no.8 pp. 2759-2769
ISSN:
1520-5045
Subject:
process design,   etc   ; bubbles; computed tomography;     Show all 3 Subjects
Abstract:
... The complex flow patterns in bubble columns can be phenomenologically described by the two-bubble class approach. For the first time, this approach is applied to bubble columns with dense internals. Internals of square and triangular pitch tube patterns of two tube sizes (8 × 10–³ and 13 × 10–³ m) with flat and U-tube bottom design and cross-sectional occupation of ∼25% were inserted in a bubble c ...
DOI:
10.1021/acs.iecr.8b05784

11. Dynamic Optimization of Reaction Systems via Exact Parsimonious Input Parameterization

Author:
Rodrigues, Diogo; Bonvin, Dominique
Source:
Industrial & engineering chemistry process design and development 2019 v.58 no.26 pp. 11199-11212
ISSN:
1520-5045
Subject:
process design,   etc   ; chemistry; dynamic programming;     Show all 3 Subjects
Abstract:
... This paper discusses the use of parsimonious input parameterization for the dynamic optimization of reaction systems. This parameterization is able to represent the optimal inputs with only a few parameters. In the context of batch, semibatch, and continuous reactors, the method takes advantage of the concept of extents to allow the analytical computation of adjoint-free optimal control laws. It i ...
DOI:
10.1021/acs.iecr.8b05512

12. Unsupervised Change Point Detection Using a Weight Graph Method for Process Monitoring

Author:
An, Ruqiao; Yang, Chunjie; Pan, Yijun
Source:
Industrial & engineering chemistry process design and development 2019 v.58 no.4 pp. 1624-1634
ISSN:
1520-5045
Subject:
process design,   etc   ; furnaces; process monitoring;     Show all 3 Subjects
Abstract:
... Because industrial processes are complicated and time-varying in general, unsupervised, and nonparametric process monitoring methods are necessary. Recently, a graph-based change point detection method with a developed scan statistic, which is unsupervised and nonparametric, has been introduced. Industrial processes are primarily continuous with considerable important information contained in the ...
DOI:
10.1021/acs.iecr.8b02455

13. Numerical optimisation of thermoset composites manufacturing processes: A review

Author:
Struzziero, G.; Teuwen, J.J.E.; Skordos, A.A.
Source:
Composites 2019 pp. 105499
ISSN:
1359-835X
Subject:
process design,   etc   ; composite materials; energy industry; manufacturing;     Show all 4 Subjects
Abstract:
... The impetus for higher performance, robustness and efficiency in the aerospace, automotive and energy industries has been reflected in more stringent requirements which the composite manufacturing industry needs to comply with. The process design challenges associated with this are significant and can be only partially met by integration of simulation in the design loop. The implementation of nume ...
DOI:
10.1016/j.compositesa.2019.105499

14. Managing Trace Components in a Dividing Wall Distillation Column: An Experimental Study

Author:
Donahue, Melissa M.; Downs, James J.; Baldea, Michael; Eldridge, R. Bruce
Source:
Industrial & engineering chemistry process design and development 2019 v.58 no.28 pp. 12687-12701
ISSN:
1520-5045
Subject:
process design,   etc   ; chemistry; controllers; distillation; temperature;     Show all 5 Subjects
Abstract:
... Industrial distillation columns must manage impurities inherently present in feed mixtures. Proving that dividing wall columns (DWCs) can deal with trace components is an important step toward their more widespread industrial acceptance. Yet, there is a dearth of literature dealing with DWC control in the presence of trace feed impurities. In this paper, conventional controller design tools are us ...
DOI:
10.1021/acs.iecr.9b00879

15. Process Fault Prognosis Using Hidden Markov Model–Bayesian Networks Hybrid Model

Author:
Galagedarage Don, Mihiran; Khan, Faisal
Source:
Industrial & engineering chemistry process design and development 2019 v.58 no.27 pp. 12041-12053
ISSN:
1520-5045
Subject:
process design,   etc   ; chemistry; models; prediction; prognosis;     Show all 5 Subjects
Abstract:
... A Hidden Markov Model–Bayesian Networks (HMM–BN) hybrid system coupled with a novel prediction technique is employed to predict and isolate 10 identified faults in the Tennessee Eastman (TE) process. HMM is trained offline with Normal Operating Condition data and then used to train the BN. Utilizing the same trained HMM, a history of Log Likelihood (LL) values of process fault data is generated. T ...
DOI:
10.1021/acs.iecr.9b00524

16. Electrostatic Distribution in the Riser of the Multizone Circulating Fluidized Bed for Polypropylene

Author:
Lou, Zhedong; Ge, Shiyi; Yang, Yao; Huang, Zhengliang; Sun, Jingyuan; Wang, Jingdai; Yang, Yongrong; Xie, Lei; Su, Hongye; Gao, Yunzhong
Source:
Industrial & engineering chemistry process design and development 2019 v.58 no.27 pp. 12301-12311
ISSN:
1520-5045
Subject:
process design,   etc   ; chemistry; fluidized beds; polypropylenes;     Show all 4 Subjects
Abstract:
... This work investigates the electrostatic distribution in the riser of a multizone circulation fluidized bed for polypropylene by various electrostatic measurements. Results show all measured electrostatic parameters have a strong dependence on flow patterns with increasing bed height. They remain constant in dense-phase pneumatic transportation, while they decrease in fast fluidization. However, t ...
DOI:
10.1021/acs.iecr.9b00592

17. Mobile Liquid Gating Membrane System for Smart Piston and Valve Applications

Author:
Liu, Wei; Wang, Miao; Sheng, Zhizhi; Zhang, Yunmao; Wang, Shuli; Qiao, Long; Hou, Yaqi; Zhang, Mengchuang; Chen, Xinyu; Hou, Xu
Source:
Industrial & engineering chemistry process design and development 2019 v.58 no.27 pp. 11976-11984
ISSN:
1520-5045
Subject:
process design,   etc   ; actuators; liquids; permeability; robots;     Show all 5 Subjects
Abstract:
... Rapid progress toward smart membranes has been made in the past few decades, of which the liquid gating membranes have attracted increasing attention because of their smart permeability. However, the current liquid gating membranes are mainly focused on the control of transmembrane performance, whereas the motion behaviors of such membranes that respond to ambient gas pressure are also very import ...
DOI:
10.1021/acs.iecr.9b01696

18. Nonlinear Model Identification and Data Reconciliation Using Kernel Principal Component Regression

Author:
Marimuthu, Karthikeyan; Narasimhan, Shankar
Source:
Industrial & engineering chemistry process design and development 2019 v.58 no.26 pp. 11224-11233
ISSN:
1520-5045
Subject:
process design,   etc   ; chemistry; data collection; nonlinear models;     Show all 4 Subjects
Abstract:
... Reconciliation of process data is an important preprocessing technique, the main purpose of which is to obtain accurate estimates of variables and model parameters. Reconciliation requires a process model which is generally developed using first principles. For many complex processes, the development of such models is difficult and time-consuming. In this work we propose a novel alternative method ...
DOI:
10.1021/acs.iecr.8b06095

19. Novel Correlation Analysis of Alarms Based on Block Matching Similarities

Author:
Yang, Bo; Li, Jun-jie; Qi, Chu; Li, Hong-guang; He, Ya-dong
Source:
Industrial & engineering chemistry process design and development 2019 v.58 no.22 pp. 9465-9472
ISSN:
1520-5045
Subject:
process design,   etc   ; chemistry; correlation; processing time;     Show all 4 Subjects
Abstract:
... Correlation analysis has been widely applied for process detection and alarm analysis. However, traditional correlation analysis methods have been found inefficient due to the influence of process time delays on analysis results. In this paper, we propose an alarm correlation analysis method based on block matching similarities. By converting alarm data sequences to time node sequences, the block ...
DOI:
10.1021/acs.iecr.8b05906

20. Optimal Design of Double Pipe Heat Exchanger Structures

Author:
Peccini, Alice; Lemos, Julia C.; Costa, André L. H.; Bagajewicz, Miguel J.
Source:
Industrial & engineering chemistry process design and development 2019 v.58 no.27 pp. 12080-12096
ISSN:
1520-5045
Subject:
process design,   etc   ; chemistry; heat exchangers; models; streams;     Show all 5 Subjects
Abstract:
... This paper investigates the design optimization of double pipe heat exchanger using mathematical programming. The heat exchanger area is minimized and the thermo-fluid dynamic conditions are considered for the use of the right transport correlations, together with design specifications, such as, maximum pressure drops and minimum excess area. The modular nature of this kind of heat exchanger and t ...
DOI:
10.1021/acs.iecr.9b01536