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1. Accommodating coexisting impact rationales in knowledge co-production: The case of the Natuurpact reflexive evaluation

Author:
Hilde Brouwers; Lisa Verwoerd; Anne Loeber; Barbara Regeer; Pim Klaassen
Source:
Environmental science & policy 2022 v.137 pp. 32-39
ISSN:
1462-9011
Subject:
accountability; case studies; empirical research; environmental science; issues and policy; politics; process design
Abstract:
... Reflexive and deliberative knowledge co-production processes are increasingly used in dealing with contemporary sustainability challenges. These processes come with the need to develop ways to properly assess and understand their impact. In our case study, a three-year-long knowledge co-production process aimed at evaluating the Dutch nature policy, we observed that the actors involved valued and ...
DOI:
10.1016/j.envsci.2022.07.033

2. Combined Two-Model CFD Simulation of Trickle Bed Reactors with Head-Sump Extension: Case Study on Hydrodynamics and Biological Methanation

Author:
Simon Markthaler; Thomas Plankenbühler; Jonas Miederer; Sebastian Kolb; Katharina Herkendell; Jürgen Karl
Source:
Industrial & engineering chemistry process design and development 2022 v.61 no.11 pp. 4134-4152
ISSN:
1520-5045
Subject:
absorption; bioinformatics; case studies; head; hydrodynamics; liquids; mass transfer; methane; methane production; models; prediction; process design; reaction kinetics; surface area
Abstract:
... Trickle bed reactors are one of the world’s most employed technologies for multiphase processing, and they have been scrutinized for decades. However, accurate prediction and scale-up of trickle bed reactors are still challenging owing to complex interactions of multiphase flow, interfacial mass transfer, and reaction kinetics. The present computational model provides an insight into process pheno ...
DOI:
10.1021/acs.iecr.1c04262

3. Computer-aided design of formulated products

Author:
Georgios M. Kontogeorgis; Spardha Jhamb; Xiaodong Liang; Kim Dam-Johansen
Source:
Current opinion in colloid & interface science 2022 v.57 pp. 101536
ISSN:
1359-0294
Subject:
attitudes and opinions; case studies; chemists; colloids; computer simulation; computer-aided design; fields; industry; process design; wills
Abstract:
... Formulated products represent a particular class of complex chemical products, and their design is typically based on experience and extensive experimentation. Although still at an early stage, and despite that their potential is not fully accessed and not fully used by the industry, computer-aided design (CAD) methods and tools offer many possibilities in the design of formulated products. The CA ...
DOI:
10.1016/j.cocis.2021.101536

4. Deep-Learning-Based Predictive Control of Battery Management for Frequency Regulation

Author:
Yun Li; Yixiu Wang; Yifu Chen; Yifan Lu; Kaixun Hua; Jiayang Ren; Ghazaleh Mozafari; Qiugang Lu; Yankai Cao
Source:
Industrial & engineering chemistry process design and development 2022 v.61 no.24 pp. 8432-8442
ISSN:
1520-5045
Subject:
batteries; case studies; chemistry; data collection; issues and policy; process design
Abstract:
... This paper proposes a deep-learning-based optimal battery management scheme for frequency regulation (FR) by integrating model predictive control (MPC), supervised learning (SL), reinforcement learning (RL), and high-fidelity battery models. By taking advantage of deep neural networks (DNNs), the derived DNN-approximated policy is computationally efficient in online implementation. The design proc ...
DOI:
10.1021/acs.iecr.1c04903

5. Design of Refinery Hydrogen Networks with Pressure Swing Adsorption Unit Configuration under Uncertainty: Economy and Flexibility Aspects

Author:
Li Zhou; Zuwei Liao; Huiru Li; Xu Ji; Yao Yang; Jingyuan Sun; Jingdai Wang; Yongrong Yang
Source:
Industrial & engineering chemistry process design and development 2022 v.61 no.21 pp. 7322-7334
ISSN:
1520-5045
Subject:
adsorption; case studies; hydrogen; models; petroleum; process design; uncertainty
Abstract:
... A refinery hydrogen network is crucial for the processing of increasingly deteriorating heavy crude oil into light clean fuels, for which pressure swing adsorption (PSA) is indispensable in improving the hydrogen utilization efficiency and reducing the system cost. This study focuses on the simultaneous design of refinery hydrogen networks with the PSA configuration under uncertainty, which is a c ...
DOI:
10.1021/acs.iecr.1c04487

6. Impact of Kinetic Models on Methanol Synthesis Reactor Predictions: In Silico Assessment and Comparison with Industrial Data

Author:
Filippo Bisotti; Matteo Fedeli; Kristiano Prifti; Andrea Galeazzi; Anna Dell’Angelo; Flavio Manenti
Source:
Industrial & engineering chemistry process design and development 2022 v.61 no.5 pp. 2206-2226
ISSN:
1520-5045
Subject:
case studies; chemistry; computer simulation; equipment; methanol; models; prediction; process design
Abstract:
... The reactor is one of the most important equipment to be designed for optimal process operations. An appropriate reactor modeling leads to an efficient and optimal process conceptual design, simulation, and eventually construction. The key for success in this step is mainly related to kinetics. The present work is centered toward process simulation and aims at comparing three different kinetic mod ...
DOI:
10.1021/acs.iecr.1c04476

7. Improving the Performance of a Simulated Moving Bed Reactor for the Synthesis of Solketal by Implementing Multifeed Strategy

Author:
Rui P. V. Faria; Jonathan C. Gonçalves; Isabella Corrêa; Ana M. Ribeiro; Alírio E. Rodrigues
Source:
Industrial & engineering chemistry process design and development 2022 v.61 no.39 pp. 14531-14545
ISSN:
1520-5045
Subject:
acetone; case studies; chemistry; glycerol; process design; thermodynamics
Abstract:
... The simulated moving bed reactor (SMBR) is a sorption-enhanced reactive technology that has been successfully applied to the synthesis of several organic compounds, due to its ability to overcome the thermodynamic limitations associated with reversible reactions. This work proposes the implementation of an innovative multifeed strategy that can considerably improve the performance of the SMBR, par ...
DOI:
10.1021/acs.iecr.2c01352

8. Integration of Scheduling and Control for Chemical Batch Plants under Stochastic Uncertainty: A Back-Off Approach

Author:
Héctor Uriel Rodríguez Vera; Luis A. Ricardez-Sandoval
Source:
Industrial & engineering chemistry process design and development 2022 v.61 no.12 pp. 4363-4378
ISSN:
1520-5045
Subject:
case studies; chemistry; process design; product quality; system optimization; uncertainty
Abstract:
... A new back-off methodology is presented to address mixed integer dynamic optimization (MIDO) formulations that arise from modeling the integration of scheduling and control of flow-shop batch plants under stochastic parametric uncertainty. The core idea of the methodology is to generate optimal scheduling and control decisions combined with optimal unit operation times that offer dynamic feasibili ...
DOI:
10.1021/acs.iecr.1c04386

9. Modeling Frictional Head Loss in the Redesign of City-Scale Water Networks through Multiobjective Optimization: Strategies to Deal with Nonlinear Terms

Author:
Daniela Gormaz-Cuevas; Catalina Quiñones-López; Fernando Arenas-Araya; Felipe A. Díaz-Alvarado
Source:
Industrial & engineering chemistry process design and development 2022 v.61 no.25 pp. 8918-8931
ISSN:
1520-5045
Subject:
case studies; chemistry; equations; freshwater; friction; irrigation; models; process design; water treatment; Chile
Abstract:
... Water resource management is a crucial issue today when global warming is advancing, generating water shortages in several world countries. Mathematical and optimization tools have addressed these problems, including new alternative water sources. Water networks are designed to cover consumption. In this context, pumping is critical in modeling water networks through optimization techniques becaus ...
DOI:
10.1021/acs.iecr.2c00225

10. Multi-criteria decision analysis of steam reforming for hydrogen production

Author:
Ján Janošovský; Viktória Boháčiková; Dominika Kraviarová; Miroslav Variny
Source:
Energy conversion and management 2022 v.263 pp. 115722
ISSN:
0196-8904
Subject:
administrative management; algorithms; analytical methods; biogas; case studies; energy conversion; environmental impact; hydrogen; hydrogen production; methane; natural gas; process design; steam
Abstract:
... Modern sustainable process design necessitates the use of sophisticated analytical approach to determine feasibility of design alternatives considering multiple criteria. This paper presents novel methodology for multi-criteria decision analysis (MCDA) considering economics, material and energy utilisation, inherent safety, and environmental impact. Its basis is the analytic hierarchy process (AHP ...
DOI:
10.1016/j.enconman.2022.115722

11. Performance Analysis and Simulation of the Gas Condensate Stabilization Process: Energy and Exergy Aspects

Author:
Abdollah Hajizadeh; Mohamad Mohamadi-Baghmolaei; Reza Azin; Sohrab Zendehboudi
Source:
Industrial & engineering chemistry process design and development 2022 v.61 no.25 pp. 9149-9164
ISSN:
1520-5045
Subject:
air; carbon dioxide; case studies; condensates; distillation; economic evaluation; energy efficiency; exergy; heat; loss prevention; oil and gas industry; process design; system optimization; temperature
Abstract:
... Gas condensate stabilization is a common process in gas refineries and petrochemical industries. This process is known as an energy consuming process because it uses distillation columns and furnaces for separating different cuts from the condensate feed. This study aims to improve the performance of the gas condensate stabilization unit in a large petrochemical company in terms of energy efficien ...
DOI:
10.1021/acs.iecr.2c01167

12. Process design and economic analysis of membrane-integrated absorption processes for CO2 capture

Author:
Mun-Gi Jang; Seokwon Yun; Jin-Kuk Kim
Source:
Journal of cleaner production 2022 v.368 pp. 133180
ISSN:
0959-6526
Subject:
absorption; air; capital costs; carbon dioxide; case studies; coal; combustion; economic investment; energy; equipment; power plants; process design
Abstract:
... This study proposes a design and optimization framework for a membrane-integrated absorption CO₂ capture process for a coal-fired power plant. A modeling framework was developed for the hybrid capture process. The design was made by considering different flow-rate distributions between the combustion and sweep air for the membrane, as well as series and parallel configurations in an integrated man ...
DOI:
10.1016/j.jclepro.2022.133180

13. Process integration and electrification for efficient milk evaporation systems

Author:
Benjamin James Lincoln; Lana Kong; Alyssa Mae Pineda; Timothy Gordon Walmsley
Source:
Energy 2022 v.258 pp. 124885
ISSN:
0360-5442
Subject:
case studies; coal; electricity; evaporation; exergy; heat; heat pumps; milk; natural gas; operating costs; process design; product safety; renewable electricity; systems engineering; temperature; vapors
Abstract:
... Industrial Process Integration and Electrification can provide an effective pathway to rapidly transition process heat in low temperature industries (i.e., heating <100 °C) away from coal or natural gas to renewable electricity. This paper aims to develop a highly efficient, completely electric milk evaporation system through the careful integration and selection of heat pump and Mechanical Vapour ...
DOI:
10.1016/j.energy.2022.124885

14. A Scenario-Based Chance-Constrained Program for Gasoline Blending under Uncertainty

Author:
Cong Wang; Weimin Zhong; Renchu He; Xin Peng; Liang Zhao
Source:
Industrial & engineering chemistry process design and development 2022 v.61 no.15 pp. 5215-5226
ISSN:
1520-5045
Subject:
algorithms; case studies; chemistry; gasoline; least squares; models; process design; supply chain; uncertainty
Abstract:
... Gasoline blending under uncertainty in the refinery value chain optimization has gained tremendous attention. This paper proposes a data-driven chance-constrained programming approach to address this issue and guarantee the benefit of the refinery value chain. First, the blending effect model is introduced to capture the uncertainties in component properties, where the blending effect value is est ...
DOI:
10.1021/acs.iecr.1c04736

15. Structural Modifications on Single Mixed Refrigerant Cycles for Performance Improvements in Small-Scale LNG Processes

Author:
Fernando Almeida-Trasvina; Robin Smith
Source:
Industrial & engineering chemistry process design and development 2022 v.61 no.7 pp. 2825-2842
ISSN:
1520-5045
Subject:
case studies; chemistry; energy efficiency; exergy; liquefied natural gas; process design; refrigeration
Abstract:
... Production of liquefied natural gas (LNG) at a small scale typically relies on single mixed refrigerant (SMR) cycles to provide the necessary refrigeration. The shaft power required for refrigerant compression is by far the largest contributor to the operating costs of the entire LNG plant. The highly nonlinear interactions between operating variables mean that the optimization of these SMR cycles ...
DOI:
10.1021/acs.iecr.1c03699

16. Abnormal Operation Tracking through Big-Data-Based Gram–Schmidt Orthogonalization: Production of n-Propyl Propionate in a Simulated Moving-Bed Reactor: A Case Study

Author:
Vinicius V. Santana; Márcio A. F. Martins; Alírio E. Rodrigues; José M. Loureiro; Ana M. Ribeiro; Idelfonso B. R. Nogueira
Source:
Industrial & engineering chemistry process design and development 2021 v.60 no.10 pp. 4060-4071
ISSN:
1520-5045
Subject:
abnormal behavior; algorithms; case studies; chemical industry; chemistry; data analysis; decision making; information management; process design; propionic acid
Abstract:
... Big Data Analytics plays a crucial role in Industry 4.0 by offering tools to improve the decision-making process. These tools comprise data management infrastructures and analytical methods. Among the economic sectors, the chemical process industry already holds mature data management structures but poorly explored analytical tools. In this sense, this work proposes an online analytical tool that ...
DOI:
10.1021/acs.iecr.1c00214

17. Adsorption Size Effects for Langmuir Systems in Process Simulators: Case Study Comparing Explicit Langmuir-Based Models and FASTIAS

Author:
Tom R. C. Van Assche; Gino V. Baron; Joeri F. M. Denayer
Source:
Industrial & engineering chemistry process design and development 2021 v.60 no.32 pp. 12092-12099
ISSN:
1520-5045
Subject:
adsorption; case studies; process design; sorption isotherms; temperature
Abstract:
... Adsorption processes are typically designed with the aid of process simulators. Here, the extended Langmuir model and derivates are frequently used when dealing with type I isotherms (Langmuirian). The extended Langmuir model captures competition effects based on low-coverage Henry selectivity. However, it does not account for adsorbate size effects, where smaller adsorbates can be preferred at a ...
DOI:
10.1021/acs.iecr.1c01657

18. Analysis of Vapor Pressures Using Family Variations: A Case Study of Hexadecanol Isomers

Author:
Paul M. Mathias; Martin Schiller
Source:
Industrial & engineering chemistry process design and development 2022 v.61 no.33 pp. 12239-12248
ISSN:
1520-5045
Subject:
alcohols; case studies; databases; empirical research; molecular dynamics; process design; uncertainty; vapor pressure; vapors
Abstract:
... Vapor pressure is one of the most important properties needed when designing chemical processes. Experimental data are preferred; however, predictive methods must be used when data are not available. Even when experimental data are available, they are often sparse, and the quality needs to be evaluated. In this work, we have used the isomers of hexadecanol (C₁₆H₃₄O) for a vapor-pressure case study ...
DOI:
10.1021/acs.iecr.2c01513

19. Avoidance of Particle Accumulation in a Coating Diffuser during Dilute-Phase Pneumatic Conveying: A Case Study through Computational Fluid Dynamics

Author:
Kuang C. Lin; Chuan-Chieh Liao
Source:
Industrial & engineering chemistry process design and development 2021 v.61 no.1 pp. 855-865
ISSN:
1520-5045
Subject:
Reynolds number; case studies; industry; models; process design; turbulent flow
Abstract:
... Pneumatic conveying with a diffuser is commonly used in the industry of thread locking for fasteners. During the coating operation, colloidal particles are carried by transported gas and sprayed onto surface of fasteners through a diffuser. However, accumulation of particles is frequently encountered near the outlet of the coating diffuser, which deteriorates uniformity of particle distribution on ...
DOI:
10.1021/acs.iecr.1c03174

20. Data-Based Modeling of a Nonexplicit Two-Time Scale Process via Multiple Time-Scale Recurrent Neural Networks

Author:
Ngiam Li Jian; Haslinda Zabiri; Marappagounder Ramasamy
Source:
Industrial & engineering chemistry process design and development 2022 v.61 no.26 pp. 9356-9365
ISSN:
1520-5045
Subject:
case studies; chemistry; energy; equations; heat transfer coefficient; neurons; prediction; process design
Abstract:
... Modern chemical process plants are typically very complex in nature due to the various material and energy recycling streams, including the implementation of process intensification in order to improve the sustainability factor. Looking at each individual unit operation, there are inherent nonlinear properties that may often involve physical and chemical phenomena occurring on different time scale ...
DOI:
10.1021/acs.iecr.2c00797

21. Data-Driven Ionic Liquid Design for CO₂ Capture: Molecular Structure Optimization and DFT Verification

Author:
Xiang Zhang; Jingwen Wang; Zhen Song; Teng Zhou
Source:
Industrial & engineering chemistry process design and development 2021 v.60 no.27 pp. 9992-10000
ISSN:
1520-5045
Subject:
carbon; carbon dioxide; case studies; chemical structure; databases; density functional theory; equations; ionic liquids; models; process design; solubility; system optimization
Abstract:
... To identify optimal ionic liquids (ILs) for CO₂ capture, an efficient computer-aided IL design (CAILD) approach is desired. The traditional CAILD methods usually combine an equation of state with the UNIFAC-IL model to calculate gas solubility, which is computationally expensive and sometimes cannot give quantitatively satisfying results. In this contribution, a new CAILD approach is presented for ...
DOI:
10.1021/acs.iecr.1c01384

22. Design workshops for innovative cropping systems and decision-support tools: Learning from 12 case studies

Author:
Marie-Hélène Jeuffroy; Chantal Loyce; Thibault Lefeuvre; Muriel Valantin-Morison; Caroline Colnenne-David; Arnaud Gauffreteau; Safia Médiène; Elise Pelzer; Raymond Reau; Chloé Salembier; Jean-Marc Meynard
Source:
European journal of agronomy 2022 v.139 pp. 126573
ISSN:
1161-0301
Subject:
Europeans; agricultural outlook and situation; agronomy; case studies; cropping systems; decision support systems; experimental design; journals; learning; managers; process design; researchers; steers
Abstract:
... Addressing the issues that agriculture is currently facing requires disruptive innovations, which may be stimulated through a process of innovative design, enhancing exploration in specific situations. In the aim to equip this process, several researchers implemented 'design workshops'. Yet, the literature poorly describes the way to organize, implement and capitalize design workshops, in the view ...
DOI:
10.1016/j.eja.2022.126573

23. Development of an Energy-Efficient Single Mixed Refrigerant Cycle for Small-Scale LNG Production

Author:
Fernando Almeida-Trasvina; Robin Smith; Megan Jobson
Source:
Industrial & engineering chemistry process design and development 2021 v.60 no.32 pp. 12049-12067
ISSN:
1520-5045
Subject:
algorithms; case studies; energy efficiency; exergy; liquefaction; liquefied natural gas; process design
Abstract:
... Energy-intensive single mixed refrigerant (SMR) cycles are employed to produce liquefied natural gas (LNG) at small scale. The energy required for refrigerant compression (shaft work) dominates the overall operating costs of the LNG plant. While current methods to minimize shaft work demand (e.g., exergy analysis) focus on the PRICO cycle, this paper shows that structurally modifying the configura ...
DOI:
10.1021/acs.iecr.1c00432

24. A Dynamic and Probabilistic Design Space Determination Method for Mesenchymal Stem Cell Cultivation Processes

Author:
Keita Hirono; Isuru A. Udugama; Yusuke Hayashi; Masahiro Kino-oka; Hirokazu Sugiyama
Source:
Industrial & engineering chemistry process design and development 2022 v.61 no.20 pp. 7009-7019
ISSN:
1520-5045
Subject:
case studies; chemistry; mesenchymal stromal cells; probability; process design; raw materials
Abstract:
... A five-step method is proposed for determining the design space of mesenchymal stem cell (MSC) cultivation processes incorporating system dynamics and variabilities. The method uses mechanistic models to capture the MSC cultivation dynamics while performing stochastic simulation to consider influences of the variabilities at raw material, cell, process specification, and operation levels. Simulate ...
DOI:
10.1021/acs.iecr.2c00374

25. Experimental Characterization of Commercial and Synthesized Aromatic Polyamide Films for Reverse Osmosis Membranes

Author:
Xuefan Song; Wafa Guiga; Bernard Rousseau; Anne Jonquieres; Raphaël Weil; Marion Grzelka; Jehan Waeytens; Alexandre Dazzi; Diana Dragoe; Claire Fargues
Source:
Industrial & engineering chemistry process design and development 2021 v.60 no.7 pp. 2898-2910
ISSN:
1520-5045
Subject:
X-ray photoelectron spectroscopy; atomic force microscopy; case studies; chemical composition; crosslinking; dynamic vapor sorption method; polyamides; polymerization; process design; reverse osmosis; solutes; temperature; topology; trimesoyl chloride
Abstract:
... The complex structure of the active aromatic polyamide (APA) layer of reverse osmosis membranes needs to be precisely described for understanding and predicting solute rejection. A commercial reverse osmosis membrane (CPA2, Hydranautics) was chosen as a case study, and home-made APA films were prepared by free-standing interfacial polymerization of trimesoyl chloride (TMC) and m-phenylenediamine ( ...
DOI:
10.1021/acs.iecr.0c05393

26. Indirect Demand Response Potential of Large-Scale Chemical Processes

Author:
Bastian Bruns; Alessandro Di Pretoro; Marcus Grünewald; Julia Riese
Source:
Industrial & engineering chemistry process design and development 2021 v.61 no.1 pp. 605-620
ISSN:
1520-5045
Subject:
case studies; chemistry; economic evaluation; electrolysis; electrolytes; energy; ethylene oxide; polymers; process design
Abstract:
... The participation of power-intensive chemical processes in demand response programs is seen to provide grid stability and potentially reduce the operating costs of these processes. Large-scale processes that require intermediate products that can be produced by demand response scheduling of a suitable preprocess are an option to be utilized as grid energy storage. In this light, we determine the d ...
DOI:
10.1021/acs.iecr.1c03925

27. Machine Learning for Physicochemical Property Prediction of Complex Hydrocarbon Mixtures

Author:
Maarten R. Dobbelaere; Yannick Ureel; Florence H. Vermeire; Lowie Tomme; Christian V. Stevens; Kevin M. Van Geem
Source:
Industrial & engineering chemistry process design and development 2022 v.61 no.24 pp. 8581-8594
ISSN:
1520-5045
Subject:
case studies; distillation; feedstocks; industry; liquids; oils; prediction; process design; vapors
Abstract:
... Machine learning has proven effective for predicting properties of pure compounds from molecular structures, but properties of mixtures, in particular oil fractions, are rarely dealt with. At best, the bulk properties are estimated based on pure compound properties, linear mixing rules, and a reconstructed composition of the feedstock. As the detailed composition of such mixtures is rarely well de ...
DOI:
10.1021/acs.iecr.2c00442

28. Model-assisted process design for better evaluation and scaling up of continuous downstream bioprocessing

Author:
Ce Shi; Xu-Jun Chen; Biao Jiao; Ping Liu; Shu-Ying Jing; Xue-Zhao Zhong; Ran Chen; Wei Gong; Dong-Qiang Lin
Source:
Journal of chromatography 2022 v.1683 pp. 463532
ISSN:
0021-9673
Subject:
batch systems; bioprocessing; case studies; chromatography; cost effectiveness; equipment; models; process design
Abstract:
... Continuous process is a promising alternative for tradition batch process in biomanufacturing, which has higher productivity and lower material consumption. However, despite the maturation of necessary technologies for continuous process, there are few discussion about optimization of full continuous process. One possible reason is that the continuous process is such a complex and interacted proce ...
DOI:
10.1016/j.chroma.2022.463532

29. Multiobjective Optimization of Mixed-Integer Linear Programming Problems: A Multiparametric Optimization Approach

Author:
Iosif Pappas; Styliani Avraamidou; Justin Katz; Baris Burnak; Burcu Beykal; Metin Türkay; Efstratios N. Pistikopoulos
Source:
Industrial & engineering chemistry process design and development 2021 v.60 no.23 pp. 8493-8503
ISSN:
1520-5045
Subject:
case studies; chemistry; process design; uncertainty
Abstract:
... Industrial process systems need to be optimized, simultaneously satisfying financial, quality, and safety criteria. To meet all of those potentially conflicting optimization objectives, multiobjective optimization formulations can be used to derive optimal trade-off solutions. In this work, we present a framework that provides the exact Pareto front of multiobjective mixed-integer linear optimizat ...
DOI:
10.1021/acs.iecr.1c01175

30. Multiperiod Design and Optimization of Coprocessing of Vacuum Gas Oil and Bio-oil Integrating Supply Fluctuations of Lignocellulosic and Algal Biomass

Author:
Le Wu; Ting Yan; Kun Qian; Furong Hong
Source:
Industrial & engineering chemistry process design and development 2021 v.60 no.20 pp. 7667-7677
ISSN:
1520-5045
Subject:
algae; biofuels; biomass production; capital; case studies; cost effectiveness; fuel oils; lignocellulose; models; process design; pyrolysis; synergism
Abstract:
... The coprocessing of bio-oil and vacuum gas oil has been demonstrated as a cost-effective way to utilize bioenergy. A multiperiod model is built to design and optimize of the coprocessing system by integrating monthly changes of lignocellulosic biomass production and algae growth rate. The case study showed that the optimal configurations of a coprocessing system with a minimized total annual cost ...
DOI:
10.1021/acs.iecr.1c00181

31. A New Approach to Design Alarm Filters Using the Plant and Controller Knowledge

Author:
Mohammad Hossein Roohi; Tongwen Chen; Zhe Guan; Toru Yamamoto
Source:
Industrial & engineering chemistry process design and development 2021 v.60 no.9 pp. 3648-3657
ISSN:
1520-5045
Subject:
case studies; chemistry; process design
Abstract:
... Alarm systems are of paramount importance to the safety and proficiency of process industries. These systems aim to notify the plant operators of any possible equipment malfunction or undesired situation. An imperfect alarm system may announce false alarms in the normal operation mode or fail to raise alarms in case of some abnormalities. One mechanism for improving alarm systems is alarm filterin ...
DOI:
10.1021/acs.iecr.0c05523

32. Nonlinear Predictive Control of a Bioreactor by Surrogate Model Approximation of Flux Balance Analysis

Author:
Rafael D. de Oliveira; Matheus N. Guedes; José Matias; Galo A. C. Le Roux
Source:
Industrial & engineering chemistry process design and development 2021 v.60 no.40 pp. 14464-14475
ISSN:
1520-5045
Subject:
Saccharomyces cerevisiae; biochemical pathways; bioreactors; case studies; chemistry; econometric models; ethanol; least squares; mathematical models; prediction; process design; system optimization; yeasts
Abstract:
... The application of economic model predictive control (EMPC) techniques in bioprocesses is scarce due to limitations in obtaining accurate dynamic models. Simplified unstructured models (e.g., Monod) can be easily developed, but their prediction capacity is poor. On the other hand, models based on dynamic flux balance analysis (dFBA) of the detailed metabolic network appear as a promising alternati ...
DOI:
10.1021/acs.iecr.1c01242

33. Novel Magnetic Flowable Electrode for Redox Flow Batteries: A Polysulfide/Iodide Case Study

Author:
Mohammad Rahimi; Asghar Molaei Dehkordi; Hussein Gharibi; Edward P. L. Roberts
Source:
Industrial & engineering chemistry process design and development 2021 v.60 no.2 pp. 824-841
ISSN:
1520-5045
Subject:
batteries; carbon nanotubes; case studies; electrochemistry; electrodes; electrolytes; energy efficiency; graphene; iodides; magnetic fields; porosity; process design; surface area
Abstract:
... A novel approach named a magnetic flowable electrode (MFE) is proposed for the first time to enable enhancement of redox flow batteries (RFBs) performance. This approach enables the formation of a high active surface area electrode from magnetic nanomaterials, without the need to fabricate a self-supporting three-dimensional electrode structure. To form a simple MFE, magnetic modified carbon nanot ...
DOI:
10.1021/acs.iecr.0c05768

34. Online Synchronization in Latent Variable Model Predictive Control for Trajectory Tracking of an Uneven Batch Process

Author:
Hye Ji Lee; Shinje Lee; Jong Min Lee
Source:
Industrial & engineering chemistry process design and development 2021 v.61 no.1 pp. 594-604
ISSN:
1520-5045
Subject:
algorithms; batch systems; case studies; models; penicillins; phase transition; prediction; process design
Abstract:
... The performance of the batch trajectory tracking algorithm is affected by batch-to-batch variation, which includes irregular phase transitions and batch durations. The latent variable model predictive control is modified to obtain the desired specification by applying an online alignment to assign the prediction model and update the future reference. One of the multiple models is selected at every ...
DOI:
10.1021/acs.iecr.1c03898

35. Optimal Measurement Selection and Principal Component Analysis-Based Combination as Controlled Variables

Author:
P. A. Luppi; L. Braccia; D. Zumoffen
Source:
Industrial & engineering chemistry process design and development 2021 v.60 no.1 pp. 457-472
ISSN:
1520-5045
Subject:
bioethanol; case studies; chemistry; fuel cells; nonlinear models; principal component analysis; process design; system optimization
Abstract:
... This work presents a methodology for defining the controlled variables based on two interrelated procedures. On the one hand, a linear combination of the selected measurements is performed through a combination matrix developed from the principal component analysis theory. On the other hand, the optimal sensor selection is formulated as a multiobjective optimization problem, which is efficiently s ...
DOI:
10.1021/acs.iecr.0c04576

36. Optimization Design of a Supply Chain for Jatropha-Based Biofuel from a Sustainable Development Perspective Considering International Resources and Demand: A Case Study

Author:
Payam Afkhami; Naeme Zarrinpoor
Source:
Industrial & engineering chemistry process design and development 2021 v.60 no.17 pp. 6188-6207
ISSN:
1520-5045
Subject:
biodiesel; case studies; chemistry; feedstocks; globalization; models; process design; supply chain; sustainable development; trade; Iran
Abstract:
... In this paper, a multiperiod, multiobjective, and multiproduct second-generation biodiesel supply chain network is innovated, taking into account sustainable development and international resources and demand. The proposed model maximizes the total profit and positive social issues and minimizes the harmful environmental consequences of the network. Furthermore, as trade is nowadays considered to ...
DOI:
10.1021/acs.iecr.0c06209

37. Optimization of the Recovery of Anthocyanins from Chokeberry Juice Pomace by Homogenization in Acidified Water

Author:
Maria Cinta Roda-Serrat; Thalles Allan Andrade; Janus Rindom; Peter Brilner Lund; Birgir Norddahl; Massimiliano Errico
Source:
Waste and biomass valorization 2021 v.12 no.4 pp. 1815-1827
ISSN:
1877-2641
Subject:
Aronia; anthocyanins; biomass; case studies; citric acid; homogenization; models; pH; pomace; process design; response surface methodology; solvents; temperature; wastes
Abstract:
... The recovery efficiency of waste valorization processes depends on an interplay of different conditions that are sometimes overlooked. Process optimization by the means of establishing mathematical relations between the process parameters and outputs is a strong tool to identify optimal operating conditions based on experimental data. In this study, the extraction of anthocyanins from chokeberry ( ...
DOI:
10.1007/s12649-020-01127-w

38. Spectroscopic Quantification of Target Species in a Complex Mixture Using Blind Source Separation and Partial Least-Squares Regression: A Case Study on Hanford Waste

Author:
Stefani Kocevska; Giovanni Maria Maggioni; Ronald W. Rousseau; Martha A. Grover
Source:
Industrial & engineering chemistry process design and development 2021 v.60 no.27 pp. 9885-9896
ISSN:
1520-5045
Subject:
case studies; chemometrics; infrared spectroscopy; least squares; nontarget organisms; process design; radioactive waste; remediation
Abstract:
... One of the challenges associated with multicomponent mixture analysis using chemometrics models is collecting calibration data. Depending upon the number of constituents, the size of the calibration set can be quite large. In some cases, the mixtures may contain numerous species, but only a small subset is central to the process for which quantification is being undertaken. For example, nuclear wa ...
DOI:
10.1021/acs.iecr.1c01387

39. SyPSE: A Symbolic Computation Toolbox for Process Systems Engineering Part I─Architecture and Algorithm Development

Author:
Shuhui Zhang; Chenglin Zheng; Xi Chen
Source:
Industrial & engineering chemistry process design and development 2021 v.60 no.45 pp. 16304-16316
ISSN:
1520-5045
Subject:
algorithms; case studies; chemistry; process design
Abstract:
... The main technical approaches to solving nonlinear systems are based on numerical computation in the field of process systems engineering (PSE). However, the convergence and reliability of numerical methods are not always guaranteed due to numerical instability. Symbolic computation benefits from the accuracy and completeness of the solution compared with numerical methods. However, symbolic compu ...
DOI:
10.1021/acs.iecr.1c02151

40. Systematic Approach for Synthesizing Carbon–Hydrogen–Oxygen Networks Involving Detailed Process Simulations

Author:
Maricruz Juárez-García; Mahmoud M. El-Halwagi; José María Ponce-Ortega
Source:
Industrial & engineering chemistry process design and development 2021 v.60 no.45 pp. 16378-16393
ISSN:
1520-5045
Subject:
capital; capital costs; case studies; income; process design; raw materials; stoichiometry; symbiosis; temperature
Abstract:
... Carbon–hydrogen–oxygen symbiotic networks (CHOSYNs) provide a systematic multiscale framework for integrating multiple hydrocarbon processing plants. Earlier approaches have focused on high-level performance benchmarking using atomic and stoichiometric targeting techniques, which are subsequently detailed to identify the implementation strategies for allocation and processing. These sequential app ...
DOI:
10.1021/acs.iecr.1c02738

41. Techno-economically-driven identification of ideal plant configurations for a new biomass-to-liquid process – A case study for Central-Europe

Author:
Simon Maier; Sanna Tuomi; Johanna Kihlman; Esa Kurkela; Ralph-Uwe Dietrich
Source:
Energy conversion and management 2021 v.247 pp. 114651
ISSN:
0196-8904
Subject:
Fischer-Tropsch reaction; administrative management; agricultural wastes; automation; bark; biofuels; case studies; computer software; electricity; energy conversion; feedstocks; gasification; heat; infrastructure; markets; process design; straw; transportation; Hungary; Poland; Slovakia
Abstract:
... The conversion of agricultural waste materials such as bark or straw into 2nd generation biofuels constitutes an auspicious way to meet part of the future fuel demand in a sustainable way. The number of possible production routes is diverse, and the techno-economic analyses of these routes have been conducted in very different ways. The route involving gasification, gas purification, and a subsequ ...
DOI:
10.1016/j.enconman.2021.114651

42. Valve Stiction Detection and Quantification Using a K-Means Clustering Based Moving Window Approach

Author:
Da Zheng; Xi Sun; Seshu K. Damarla; Ashish Shah; Joseph Amalraj; Biao Huang
Source:
Industrial & engineering chemistry process design and development 2021 v.60 no.6 pp. 2563-2577
ISSN:
1520-5045
Subject:
byproducts; case studies; chemistry; industry; oils; process design
Abstract:
... In this paper, a novel and effective stiction detection method is proposed by combining K-means clustering and the moving window approach. As a byproduct, the proposed stiction detection method offers an estimation for the stiction band in sticky control valves. The proposed stiction detection method is tested in industrial case studies consisting of benchmark industrial control loops and control ...
DOI:
10.1021/acs.iecr.0c05609

43. Application of Surrogate Models as an Alternative to Process Simulation for Implementation of the Self-Optimizing Control Procedure on Large-Scale Process Plants—A Natural Gas-to-Liquids (GTL) Case Study

Author:
Vahid Khezri; Mehdi Panahi; Elham Yasari; Sigurd Skogestad
Source:
Industrial & engineering chemistry process design and development 2021 v.60 no.13 pp. 4919-4929
ISSN:
1520-5045
Subject:
case studies; chemistry; fuzzy logic; neural networks; process design; support vector machines
Abstract:
... High computational loads, time-consuming convergence, and simulation crashes are common when using process simulators for flowsheet optimization. In this paper, by replacing the large-scale physical process simulations by surrogate models, the optimization time and computational load are reduced significantly along with maintaining the accuracy and reliability. A gas-to-liquids (GTL) plant was use ...
DOI:
10.1021/acs.iecr.0c05715

44. Bi-Multiperiod Optimization of Industrial Cooling Systems

Author:
Liu Bo; Wang Yufei; Feng Xiao; Han Yijie
Source:
Industrial & engineering chemistry process design and development 2021 v.60 no.24 pp. 8861-8873
ISSN:
1520-5045
Subject:
air; case studies; electricity costs; heat; industrial wastes; models; process design; systems engineering; temperature; weather
Abstract:
... In many chemical plants, a variety of cooling systems, including circulating cooling water systems and air coolers, are widely used to remove industrial waste heat. Current approaches for the design and optimization of these systems have focused on the use of constant parameters, including fixed temperature and energy price. Moreover, the ever-changing weather conditions play a major role in the d ...
DOI:
10.1021/acs.iecr.1c00488

45. Chemometrics in the Homogeneously Catalyzed Reductive Amination: Combining In Situ Fourier-Transform Infrared Spectroscopy and Band-Target Entropy Minimization

Author:
Kai U. Künnemann; Nina Gumbiowski; Pascal Müller; Yannick Jirmann; Jens M. Dreimann; Dieter Vogt
Source:
Industrial & engineering chemistry process design and development 2020 v.59 no.19 pp. 9055-9065
ISSN:
1520-5045
Subject:
Fourier transform infrared spectroscopy; algorithms; amination; case studies; chemometrics; entropy; process design
Abstract:
... Transmission infrared in situ measurement technique was used to assess its feasibility for real-time process analysis. In particular, the advanced chemometric analysis by band-target entropy minimization (BTEM) was implemented to obtain pure component spectral estimates from the multicomponent reaction system. In this case study, the rhodium-catalyzed reductive amination of 1-decanal in thermomorp ...
DOI:
10.1021/acs.iecr.0c01527

46. Computer-Aided Design of a Perfluorinated Sulfonic Acid Proton Exchange Membrane Using Stochastic Optimization and Molecular Dynamic Method

Author:
Wenjing Guo; Qilei Liu; Lei Zhang; Jian Du; Xiuling Zhu; Ka Yip Fung; Yong Yu; Ka Ming Ng
Source:
Industrial & engineering chemistry process design and development 2021 v.60 no.49 pp. 18045-18057
ISSN:
1520-5045
Subject:
case studies; computer-aided design; models; molecular dynamics; polymers; probability distribution; process design; quantitative structure-activity relationships; sulfonic acids; system optimization; temperature
Abstract:
... In this paper, a computer-aided polymer design (CAPD) framework with a stochastic optimization model is proposed for the design of perfluorinated sulfonic acid proton exchange membrane (PFSA-PEM) with desired properties. First, the requirements and target characteristics are identified and converted to property constraints. Then, the polymer design model is formulated as a stochastic optimization ...
DOI:
10.1021/acs.iecr.1c03661

47. Control and Alarm Interplay and Robust State-Feedback Synthesis with an Alarm Performance Constraint

Author:
Mohammad Hossein Roohi; Tongwen Chen; Iman Izadi
Source:
Industrial & engineering chemistry process design and development 2020 v.59 no.38 pp. 16708-16719
ISSN:
1520-5045
Subject:
case studies; chemistry; heat exchangers; process design; variance
Abstract:
... In this paper, the effect of control systems, as a missing (but significant) actor, on the performance of alarm systems is studied. The interplay of control and alarm performance is justified, and it is shown that a state-feedback controller, which is designed to achieve a good quality of control (in terms of minimum output variance), has both desirable and undesirable consequences on the performa ...
DOI:
10.1021/acs.iecr.0c02717

48. Critical Assessment of the Thermodynamics in Acidic Resin-Catalyzed Esterifications

Author:
Jeroen Lauwaert; Evelien Van de Steene; Pieter Vermeir; Jeriffa De Clercq; Joris W. Thybaut
Source:
Industrial & engineering chemistry process design and development 2020 v.59 no.51 pp. 22079-22091
ISSN:
1520-5045
Subject:
case studies; esterification; kinetics; liquids; polymers; process design; solvents; sorption; thermodynamics
Abstract:
... Resins are interesting catalysts for organic reactions, which are characterized by a remarkable swelling behavior upon exposure to liquids, typically resulting in selective sorption in the case of mixtures. Hence, when constructing kinetic models for reactions catalyzed by such resins, the component partitioning between the bulk liquid and polymer liquid and its effect on their thermodynamic activ ...
DOI:
10.1021/acs.iecr.0c05027

49. Data-Driven Model Based Computation and Analysis of Operability Sets Using High-Dimensional Continuation: A Plant-Wide Case Study

Author:
Utkarsh Konge; Abhishek Baikadi; Jayanth Mondi; Sivakumar Subramanian
Source:
Industrial & engineering chemistry process design and development 2020 v.59 no.21 pp. 10043-10060
ISSN:
1520-5045
Subject:
algorithms; case studies; chemistry; models; process design; statistical analysis
Abstract:
... A framework with a data-driven model based approach to compute and analyze the operability sets is presented. The computationally expensive steady-state simulations are replaced by machine learning models developed through statistical analysis of selected rigorous simulations. The entire solution manifold is computed using a high-dimensional continuation algorithm. The framework is applied to a pl ...
DOI:
10.1021/acs.iecr.9b07087

50. Deep learning-driven particle swarm optimisation for additive manufacturing energy optimisation

Author:
Jian Qin; Ying Liu; Roger Grosvenor; Franck Lacan; Zhigang Jiang
Source:
Journal of cleaner production 2020 v.245 pp. 118702
ISSN:
0959-6526
Subject:
algorithms; case studies; data analysis; data collection; energy; environmental impact; manufacturing; models; prediction; process design
Abstract:
... The additive manufacturing (AM) process is characterised as a high energy-consuming process, which has a significant impact on the environment and sustainability. The topic of AM energy consumption modelling, prediction, and optimisation has then become a research focus in both industry and academia. This issue involves many relevant features, such as material condition, process operation, part an ...
DOI:
10.1016/j.jclepro.2019.118702