chemical process sciencedirect

Physico-Chemical Process

A physico-chemical process based on coagulation–flocculation produces treated wastewater mainly composed of soluble and colloidal matter. A part of supracolloids responsible for TSS is always present, their remaining concentration depending on the coagulant dose. The stability of the treated wastewater is not well known, and it is not …

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Electric field-intensified chemical processes and

Electric field-intensified chemical processes and reaction chemistry. Electric fields (EFs) represent an important resource that can be utilized for process intensification in the chemical industry. The impacts of EFs on atoms, molecules, particles, and complex matter can vary significantly and trigger a range of potential new technologies for ...

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Chemical Process Equipment | ScienceDirect

Chemical Process Equipment is a guide to the selection and design of a wide range of chemical process equipment. Emphasis is placed on specific information concerning the process design and performance of equipment. To this end, attention is given to examples of successful applications, and a generous number of line sketches showing the ...

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Scheduling chemical processes for frequency regulation

The impact of the value of alpha is further discussed later in this work. The above formulation allows a chemical process to carry out production scheduling and determine power consumption profiles for frequency regulation locally. Download : Download high-res image (559KB) Download : Download full-size image. Fig. 1.

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Kinetics of Soil Chemical Processes | ScienceDirect

Description. The kinetics of reactions in soil and aquatic environments is a topic of extreme importance and interest. To properly understand the fate of applied fertilizers, pesticides, and organic pollutants with time, and to thus improve nutrient availability and the quality of our groundwater, one must study kinetics. This is the first compre.

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Chemical Production

Bio-based chemical production has enormous potential as an alternative to petroleum-based chemical production. To establish the economic feasibility of bio-based …

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A novel deep learning model based on target transformer

Search ScienceDirect. Process Safety and Environmental Protection. Volume 167, November 2022, Pages 480-492. A novel deep learning model based on target transformer for fault diagnosis of chemical process. ... Although chemical processes are an important element of industry, accidents involving these processes cause significant …

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Fundamentals of Fluidized Bed Chemical Processes

Description. Fundamentals of Fluidized-bed Chemical Processes presents a survey of the design, operation, and chemical processes of fluidized-bed reactors. The book is composed of five chapters. The first chapter examines the basic physics of gas-solid fluidization. The second chapter shows how the physics of gas-solid fluidization may be ...

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Nature-Inspired Principles for Sustainable Process …

Sustainable chemical processes should be designed to combine the technological advantages and progress with lower safety risks and minimization of …

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Towards Sustainable Chemical Processes

Provides innovative, novel and comprehensive methods and models for sustainability assessment, design and optimization, and synthesis and integration of chemical …

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An industrial case study on the combined identification

To evaluate the proposed closed-loop identification algorithm and experimental design, a case study was conducted on a reactor at Eastman Chemical's plant in Kingsport, Tennessee. The chosen process is similar to that used in Caveness and Downs (2005). The process produces dimethyl terephthalate (DMT) by reacting …

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Comparative study of a two-step enzymatic process …

Section snippets Methodology. The methodology employed in this study (Fig. 2) involved process modeling and simulation for enzymatic process using SBO and …

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Digital twins for electro-physical, chemical, and photonic processes …

5. Digital twins for electro-physical and chemical processes. In the context of the DT concept for enhancing manufacturing processes, several challenges and opportunities can be identified for the electro-physical and chemical processes. For EDM processes, generally, the process performance in terms of achievable material removal …

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CEP:PI | Chemical Engineering and Processing

About the journal. Chemical Engineering and Processing: Process Intensification is the premier publication for innovative research contributions on process intensification for chemical, biotechnological and functional materials manufacturing, energy, and …

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A New Approach to HAZOP of Complex Chemical Processes

The book is written by authors who have decades of experience in advanced process monitoring and artificial intelligence to support HAZOP teams with a holistic dynamic simulation and multivariable monitoring of the complex systems, and to assess historical failure and accident data and information using artificial intelligence techniques in a ...

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Methods in Chemical Process Safety

Methods in Chemical Process Safety. Chapters & Volumes. Latest volume. All volumes. Edited by Faisal Khan - Centre for Risk, Integrity and Safety Engineering (C-RISE), Faculty of Engineering & Applied Science, Memorial University, St …

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Chemical processes at the sediment-water interface

The microbiological, chemical and physical interactions of dissolved, colloidal and particulate organic carbon, and iron and manganese oxides play a crucial role in the early diagenetic reactions at the sediment-water interface. Their effects on diagenetic reactions, and on trace elements in solution and adsorbed to particles, are discussed.

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Module-oriented automatic differentiation in chemical process …

There are two main approaches for process modeling: the sequential (and simultaneous) modular approach and the equation-oriented approach. Although it is usually considered to be the state-of-the-art modeling method, the equation-oriented approach is rarely adopted uniquely for complex chemical process systems modeling.

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Deep convolutional neural network model based chemical process …

A deep convolutional neural network model based fault diagnosis method is proposed for chemical processes. A deep convolutional neural network model is constructed and applied in the Tennessee Eastman process. An average fault diagnosis rate of 88.2% is achieved. The model tuning and the dynamic diagnostic performance …

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Accelerating operation optimization of complex chemical processes…

1. Introduction. Numerical simulation based on rigorous mathematical model has garnered significant attention originated from its aptitude in describing chemical processes with unparalleled precision [1].Yet, process design and optimization, as an inverse problem of simulation, confronts huge challenges emanating from complex …

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Speciation analysis and formation mechanism of iron

Chemical P removal (CPR) is a widely employed process in WWTPs. It is based on the addition of metal salts to wastewater, causing precipitation of insoluble phosphate, which generates chemical sludge or chemical-biological sewage sludge (Carliell-Marquet et al., 2010; Wu et al., 2019). Iron (Fe) salt is one of the most commonly …

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Systematic review on the implementation methodologies

Firstly, inherent safety has been deemed as the top hierarchy for loss prevention. The strategies for risk reduction, whether for the likelihood or severity, can be hierarchically classified into the following four levels (Fei et al., 2018; Hendershot, 1995a, b, 1997; Jafari et al., 2018).Level 1: administrative (procedural) strategies based on the …

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Photovoltaic module recycling, a physical and a chemical recovery process

The subject of this paper is the polycrystalline silicon type photovoltaic modules. They were treated with a physical and a chemical process. The physical process was aimed at the recovery of glass, metals, and the polyvinyl fluoride film. The modules were initially shredded with a knife mill and then processed with heavy medium …

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Spatiotemporal attention mechanism-based deep network

Offline Stage: Step 1: Collect historical data from industrial processes and normalize. Step 2: Determine the primary variable. Construct a XGBoost-based model to sort the importance of all parameters in the predictive task, where k groups of parameters with the highest importance are selected as secondary variables.. Step 3: Determine b …

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Thermodynamic Models for Chemical Processes | ScienceDirect

Description. Thermodynamic Models for Chemical Engineering gives an overview of the main thermodynamic models used by engineers and in engineering researcher processes. These fall into two main families, equations of state and activity coefficient models. The book presents the state-of-the-art of purely predictive models.

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Industrial Chemical Process Analysis and Design

Industrial Chemical Process Analysis and Design uses chemical engineering principles to explain the transformation of basic raw materials into major chemical products. …

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A process simulator interface for multiobjective

1. Introduction. In light of the societal and legislative pressure on the process industry to increase its sustainability and to remain competitive in a more globalized world, model-based process optimization can play an important role both in process design and operation (Liu and Huang, 2012, Ren et al., 2016).When optimizing (bio)chemical …

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Chemical Process Structures and Information Flows

Description. Chemical Process Structures and Information Flows focuses on the role of computers in the understanding of chemical processes, including the use of simulation and optimization in computational problems. The book first underscores graphs and digraphs and pipeline networks. Discussions focus on cutsets and connectivity, directed ...

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Chemical Engineering Research and Design

The yield or total annual cost (TAC) of the process is regarded as the object function. Degrees of freedom analysis and sensitive analysis are performed for a given chemical process to identify the key decision variables that have significant impacts on the object. The boundary of those decision variables will be determined.

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Recent progress on equation-oriented optimization of complex chemical

For process optimization using pseudo-transient models, Pattison and Baldea [23] proposed a time-relaxation optimization algorithm [45].However, such an algorithm has not been commercialized in Aspen Custom Modeler (ACM) and many other EO software, as it is very difficult for most chemical engineers to develop such an algorithm on the …

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Improving convolutional neural networks for fault

This dataset contains 41 measured and 11 manipulated variables from multiple simulations of a chemical process consisting of a reactor, condenser, compressor, separator, and stripper (Chiang et al., 2000). The simulations introduce 20 different faults to the process, with one fault type for each simulation.

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Chemical Process Safety | ScienceDirect

The framework timbers for a strong safety culture is defined including: safety as a core value, leadership, enforcement of high standards, effective communications, empowered employees, deferring to expertise, and fostering mutual trust. Select 17 - Sources of helpful information for practicing chemical process safety.

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Analysis of equipment failures as contributors to chemical process

The objective of the study is was to identify the reasons for equipment based accidents. The most frequent accident causing equipment were piping (25%), reactors and storage tanks (both 14%) and process vessels (10% of equipment accidents). The six most accident-prone equipment is process related involve nearly 80% of accidents.

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Valorization of disposable COVID-19 mask through the

It becomes common to wear a disposable face mask to protect from coronavirus disease 19 (COVID-19) amid this pandemic. However, massive generations of contaminated face mask cause environmental concerns because current disposal processes (i.e., incineration and reclamation) for them release toxic chemicals.The …

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Chemical precipitation at extreme fluoride

However, various processes from previous investigations have mostly been limited in treating 100–1000 mg F-/L with secondary pollution commonly overlooked. Re-assessing the available defluoridation technologies, chemical precipitation has still been the most feasible among the technologies, especially extremely high fluoride …

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Call for papers

The global drivers for development include electrification, circularity to reduce or eliminate waste, and to achieve low carbon emissions. This results in major research efforts to explore both known and less well studied chemical pathways in new reactor concepts. The chemical reactor is the heart of any chemical process.

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Dynamic quantitative operational risk assessment of chemical processes

This paper focuses on dynamic quantitative risk assessment and its integration with operational performance analysis, to assess the safety and quality of the process facility. In order to achieve the highest levels of safety and quality, with the ultimate goal of fostering a zero-incident and zero-defect culture, the aim should be to eliminate ...

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A novel transformer-based multi-variable multi-step

Tennessee Eastman process (TEP) is a classical model benchmark for simulating chemical processes, which has been widely used as a study case for FDD (Wu and Zhao, 2021, Zheng and Zhao, 2021, Zheng and Zhao, 2020). It is mainly composed of 5 unit operations, including a reactor, a condenser, a recycle compressor, a vapor-liquid …

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