1 Role of Chemical Reaction Engineering in Sustainable Process
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Chemical Process Modeling in Modelica
Chemical Process Modeling in Modelica Ali Baharev Arnold Neumaier Fakultät für Mathematik, Universität Wien Nordbergstraße 15, A-1090 Wien, Austria Abstract model creation involves only high-level operations on a GUI; low-level coding is not required. This is the Chemical process models are highly structured. Infor- desired way of input. Not surprisingly, this is also mation on how the hierarchical components are con- how it is implemented in commercial chemical process nected helps to solve the model efficiently. Our ulti- simulators such as Aspen PlusR , Aspen HYSYSR or mate goal is to develop structure-driven optimization CHEMCAD R . methods for solving nonlinear programming problems Nonlinear system of equations are generally solved (NLP). The structural information retrieved from the using optimization techniques. AMPL (FOURER et al. JModelica environment will play an important role in [12]) is the de facto standard for model representation the development of our novel optimization methods. and exchange in the optimization community. Many Foundations of a Modelica library for general-purpose solvers for solving nonlinear programming (NLP) chemical process modeling have been built. Multi- problems are interfaced with the AMPL environment. ple steady-states in ideal two-product distillation were We are aiming to create a ‘Modelica to AMPL’ con- computed as a proof of concept. The Modelica source verter. One could use the Modelica toolchain to create code is available at the project homepage. The issues the models conveniently on a GUI. After exporting the encountered during modeling may be valuable to the Modelica model in AMPL format, the already existing Modelica language designers. software environments (solvers with AMPL interface, Keywords: separation, distillation column, tearing AMPL scripts) can be used. -
Chemical Process Modeling in Modelica
Chemical Process Modeling in Modelica Ali Baharev Arnold Neumaier Fakultät für Mathematik, Universität Wien Nordbergstraße 15, A-1090 Wien, Austria Abstract model creation involves only high-level operations on a GUI; low-level coding is not required. This is the Chemical process models are highly structured. Infor- desired way of input. Not surprisingly, this is also mation on how the hierarchical components are con- how it is implemented in commercial chemical process nected helps to solve the model efficiently. Our ulti- simulators such as Aspen PlusR , Aspen HYSYSR or mate goal is to develop structure-driven optimization CHEMCAD R . methods for solving nonlinear programming problems Nonlinear system of equations are generally solved (NLP). The structural information retrieved from the using optimization techniques. AMPL (FOURER et al. JModelica environment will play an important role in [12]) is the de facto standard for model representation the development of our novel optimization methods. and exchange in the optimization community. Many Foundations of a Modelica library for general-purpose solvers for solving nonlinear programming (NLP) chemical process modeling have been built. Multi- problems are interfaced with the AMPL environment. ple steady-states in ideal two-product distillation were We are aiming to create a ‘Modelica to AMPL’ con- computed as a proof of concept. The Modelica source verter. One could use the Modelica toolchain to create code is available at the project homepage. The issues the models conveniently on a GUI. After exporting the encountered during modeling may be valuable to the Modelica model in AMPL format, the already existing Modelica language designers. software environments (solvers with AMPL interface, Keywords: separation, distillation column, tearing AMPL scripts) can be used. -
A Second Life for Reciprocating Compressors Compressor Upgrade and Revamp Index
A second life for reciprocating compressors Compressor upgrade and revamp Index HOERBIGER upgrade and revamp dated compressors in ways that are tailored to the existing and future requirements in your industry. This increases the efficiency, reliability and environmental soundness of your compression system. Simply select the application most appropriate for your industry and we will provide more information to allow you to see the benefit of our services for yourself. Nr Industry Gas Compressor Country Short Description 1 Refinery N2 Nuovo Pignone Germany Manufacture cylinder and install reconditioned compressor 2 Refinery H2 Dresser-Rand Germany Increase capacity and install HydroCOM and RecipCOM 3 Refinery H2 Borsig Hungary Increase capacity 4 Chemical Plant Air Halberg Germany Engineer and manufacture crankcase 5 Refinery Natural gas Borsig UAE Engineer and manufacture crankcase and cylinder 6 Refinery CO2 Nuovo Pignone UK Old cylinder cracked: new cylinder designed / manufactured / installed 7 Chemical Plant H2, N2, Dujardin & France Engineer and manufacture piston and rod CO, CH4 Clark 8 Chemical Plant C2H4 Nuovo Pignone France Upgrade control to HydroCOM 9 Technical Gases N2 Burckhardt Switzer- Solve bearing problems: new crosshead Plant land 10 Natural Gas Plant Natural gas Borsig Germany Convert to new operating/process conditions 11 Refinery H2, CH4 Worthington Italy Install reconditioned compressor 12 Refinery H2 MB Halberstadt Germany Cylinder corrosion problems: new cylinder designed / manufactured / installed 13 Natural Gas -
Process Filtration & Water Treatment
Process Filtration & Water Treatment Solutions for Chemical Production Contents ContentsFiltration for Chemicals ............................................ 3 Simplified Setup at a Chemical Plant ...................... 4 Raw Material Filtration Raw Material Filtration ............................................... 6 Recommended Products ........................................... 7 Clarification Stage Chemical Clarification ................................................. 8 Recommended Products ........................................... 9 Final Filtration Final Chemical Filtration .......................................... 10 Recommended Products ......................................... 11 Process Water and Boiler Feed Setup Process Water and Boiler Feed Setup ................... 12 Chemical Compatibility ............................................ 14 For T&C's, Terms of Use and Copyright, please see www.fileder.co.uk For T&C's, Terms of Use and Copyright, please visit www.fileder.co.uk Filtration for Chemicals Filtration is all important in the market of chemical and petrochemical production, ensuring product quality and lowering production costs. Over 4 decades, Fileder has been working within these industries learning the key challenges and developing a vast product portfolio, able to tackle even the most challenging requirements. Chemicals for Filtration Chemical plants are highly sensitive to contaminants and the quality of raw materials used to produce the desired chemical can influence this. Even the smallest fluctuation in -
Chemical Engineering Careers in the Bioeconomy
BioFutures Chemical engineering careers in the bioeconomy A selection of career profiles Foreword In December 2018, IChemE published the final report of its BioFutures Programme.1 The report recognised the need for chemical engineers to have a greater diversity of knowledge and skills and to be able to apply these to the grand challenges facing society, as recognised by the UN Sustainable Development Goals2 and the NAE Grand Challenges for Engineering.3 These include the rapid development of the bioeconomy, pressure to reduce greenhouse gas emissions, and an increased emphasis on responsible and sustainable production. One of the recommendations from the BioFutures report prioritised by IChemE’s Board of Trustees was for IChemE to produce and promote new career profiles to showcase the roles of chemical engineers in the bioeconomy, in order to raise awareness of their contribution. It gives me great pleasure to present this collection of careers profiles submitted by members of the chemical engineering community. Each one of these career profiles demonstrates the impact made by chemical engineers across the breadth of the bioeconomy, including water, energy, food, manufacturing, and health and wellbeing. In 2006, the Organisation for Economic Co-operation and Development (OECD) defined the bioeconomy as “the aggregate set of economic operations in a society that uses the latent value incumbent in biological products and processes to capture new growth and welfare benefits for citizens and nations”.4 This definition includes the use of biological feedstocks and/or processes which involve biotechnology to generate economic outputs. The output in terms of products and services may be in the form of chemicals, food, pharmaceuticals, materials or energy. -
Introduction to Separation Processes What Is Separation and Separation Processes ?
Introduction to Separation Processes What is Separation and Separation Processes ? • Separate (definition from a dictionary) - to isolate from a mixture; [extract] - to divide into constituent parts • Separation process - In chemistry and chemical engineering, a separation process is used to transform a mixture of substances into two or more distinct products. - The specific separation design may vary depending on what chemicals are being separated, but the basic design principles for a given separation method are always the same. Separations • Separations includes – Enrichment - Concentration – Purification - Refining – Isolation • Separations are important to chemist & chemical engineers – Chemist: analytical separation methods, small-scale preparative separation techniques – Chemical engineers: economical, large scale separation methods Why Separation Processes are Important ? • Almost every element or compound is found naturally in an impure state such as a mixture of two or more substances. Many times the need to separate it into its individual components arises. • A typical chemical plant is a chemical reactor surrounded by separators. Separators Products Reactor Separator Raw materials Separation and purification By-products • Chemical plants commonly have 50-90% of their capital invested in separation equipments. Why Separation is Difficult to Occur? • Second law of thermodynamics - Substances are tend to mix together naturally and spontaneously - All natural processes take place to increase the entropy, or randomness, of the universe -
7 Secrets to a Well-Run Plant a Guide for Plant Managers and Operations Staff
WHITE PAPER Making Confident Decisions in Operations: 7 Secrets to a Well-Run Plant A Guide for Plant Managers and Operations Staff Terumi Okano, Aspen Technology, Inc. Have you ever received a call in the middle of the night because of a plant operational crisis? The production engineer responsible for the process is already onsite but they really need your advice and will likely also need support from the process engineering team. You can almost see the lost revenue growing as the plant drifts further from its Key Performance Indicators (KPIs). Detailed simulation models are likely already used by the process engineering or modeling team who support your plant in solving these kinds of complex process issues. Your production engineers certainly don’t have the time to learn new software to build detailed models. What you may not know is that sophisticated modeling technology can be accessed by your team through an easy-to- use, Microsoft Excel® interface. Model-based decision-making can apply to plants of nearly every type ranging from ethylene to polymers, fertilizers and specialty chemicals. The following seven secrets explain how building a model-based culture in your plant will bring clarity and continuous improvements to plant operations. Secret #1: Conceptual design models can assist plant operations. Do you know how or where the design work was done for your chemical plant? If you are able to find the conceptual design work that was completed with process simulation software, you’re already one step ahead. If it’s been decades since the plant was built and there is no design work 1to be found, start with asking for simulation models of problematic pieces of equipment or a section of your process that can be unreliable. -
The Sequential-Clustered Method for Dynamic Chemical Plant Simulation
Con~purers them. Engng, Vol. 14, No. 2. pp. 161-177, 1990 0098-I 354/90 %3.00 + 0.00 Printed an Great Britain. All rights reserved Copyright 6 1990 Pergamon Press plc THE SEQUENTIAL-CLUSTERED METHOD FOR DYNAMIC CHEMICAL PLANT SIMULATION J. C. FAGLEY’ and B. CARNAHAN* ‘B. P. America Research and Development Co., Cleveland, OH 44128, U.S.A. ‘Department of Chemical Engineering, The University of Michigan, Ann Arbor, Ml 48109, U.S.A. (Rrreiwd 28 May 1987; final revision received 26 June 1989; received for publicarion 11 July 1989) Abstract-We describe the design, development and testing of a prototype simulator to study problems associated with robust and efficient solution of dynamic process problems, particularly for systems with models containing moderately to very stiff ordinary differential equations and associated algebraic equations. A new predictor-corrector integration strategy and modular dynamic simulator architecture allow for simultaneous treatment of equations arising from individual modules (equipment units), clusters of modules, or in the limit, all modules associated with a process. This “sequential-clustered” method allows for sequential and simultaneous modular integration as extreme cases. Testing of the simulator using simple but nontrivial plant models indicates that the clustered integration strategy is often the best choice, with good accuracy, reasonable execution time and moderate storage requirements. INTRODUCTION simulator and includes results of tests on simulator performance. Direct numerical comparisons of Two major stumbling blocks in the development alternative integration strategies are given for some of robust dynamic chemical process simulators are: relatively simple test plants. Conclusions and recom- (1) mathematical models for many important equip- mendations drawn from our experiences should be ment types give rise to quite large systems of ordinary of interest to other workers developing dynamic differential equations (ODES); and (2) these ODE simulation software. -
Handbook of Chemical Engineering Calculations
Source: HANDBOOK OF CHEMICAL ENGINEERING CALCULATIONS SECTION 1 PHYSICAL AND CHEMICAL PROPERTIES Avinash Gupta, Ph.D. Senior Principal Chemical Engineer Chevron Lummus Global Bloomfield, NJ 1.1 MOLAR GAS CONSTANT 1.2 EQUATIONS AND LIQUID-LIQUID 1.2 ESTIMATION OF CRITICAL EQUILIBRIUM DATA 1.44 TEMPERATURE FROM EMPIRICAL 1.21 ACTIVITY-COEFFICIENT-CORRELATION CORRELATION 1.2 EQUATIONS AND VAPOR-LIQUID 1.3 CRITICAL PROPERTIES FROM EQUILIBRIUM DATA 1.46 GROUP-CONTRIBUTION METHOD 1.3 1.22 CONVERGENCE-PRESSURE 1.4 REDLICH-KWONG EQUATION VAPOR-LIQUID EQUILIBRIUM K OF STATE 1.5 VALUES 1.49 1.5 P-V-T PROPERTIES OF A GAS 1.23 HEAT OF FORMATION FROM MIXTURE 1.8 ELEMENTS 1.64 1.6 DENSITY OF A GAS MIXTURE 1.12 1.24 STANDARD HEAT OF REACTION, 1.7 ESTIMATION OF LIQUID STANDARD FREE-ENERGY CHANGE, AND EQUILIBRIUM CONSTANT 1.67 DENSITY 1.14 1.25 STANDARD HEAT OF REACTION FROM 1.8 ESTIMATION OF IDEAL-GAS HEAT HEAT OF FORMATION—AQUEOUS CAPACITY 1.15 SOLUTIONS 1.68 1.9 HEAT CAPACITY OF REAL GASES 1.20 1.26 STANDARD HEAT OF REACTION FROM 1.10 LIQUID HEAT CAPACITY— HEAT OF COMBUSTION 1.68 GENERALIZED CORRELATION 1.22 1.27 STANDARD HEAT OF FORMATION 1.11 ENTHALPY DIFFERENCE FOR IDEAL FROM HEAT OF COMBUSTION 1.70 GAS 1.24 1.28 HEAT OF ABSORPTION FROM 1.12 ESTIMATION OF HEAT OF SOLUBILITY DATA 1.71 VAPORIZATION 1.24 1.29 ESTIMATION OF LIQUID VISCOSITY 1.13 PREDICTION OF VAPOR AT HIGH TEMPERATURES 1.73 PRESSURE 1.27 1.30 VISCOSITY OF NONPOLAR AND 1.14 ENTHALPY ESTIMATION— POLAR GASES AT HIGH GENERALIZED METHOD 1.29 PRESSURE 1.73 1.15 ENTROPY INVOLVING A PHASE 1.31 -
When Chemical Reactors Were Admitted and Earlier Roots of Chemical Engineering
When Chemical Reactors Were Admitted And Earlier Roots of Chemical Engineering 9 Biographical sketch of L. E. ‘Skip’ Scriven L. E. 'Skip' Scriven is Regents' Professor and holder of the L E Scriven Chair of Chemical Engineering & Materials Science at the University of Minnesota. He is a Fellow of the Minnesota Supercomputer Institute, founded the Coating Process Fundamentals Program, and now co-leads it with Professor Lorraine F. Francis. He is distinguished for pioneering researches in several areas of fluid mechanics, interfacial phenomena, porous media and surfactant technologies, and the recently emerged field of coating science and engineering. He promoted close interactions with industry by showing how good theory, incisive experimental techniques, and modern computer-aided mathematics can be combined to solve industrial processing problems. He graduated from the University of California, Berkeley, received a Ph.D. from the University of Delaware, and was a research engineer with Shell Development Company for four years before joining the University of Minnesota. He received the AIChE Allan P. Colburn Award four decades ago, the William H. Walker Award two decades ago, the Tallmadge Award in 1992, and the Founders Award in 1997. He has also been honored by the University of Minnesota and the American Society for Engineering Education for outstanding teaching. He has co-advised or advised many undergraduate, graduate and postdoctoral research students, including over 100 Ph.D.’s. Elected to the National Academy of Engineering in 1978, he has served on several U.S. national committees setting priorities for chemical engineering and materials science research. In 1990-92 he co-chaired the National Research Council's Board on Chemical Sciences and Technology, and in 1994-97 he served on the governing Commission on Physical Sciences, Mathematics, and Applications. -
Roadmap Chemical Reaction Engineering an Initiative of the Processnet Subject Division Chemical Reaction Engineering
Roadmap Chemical Reaction Engineering an initiative of the ProcessNet Subject Division Chemical Reaction Engineering 2nd edition May 2017 roadmap chemical reaction engineering Table of contents Preface 3 1 What is Chemical Reaction Engineering? 4 2 Relevance of Chemical Reaction Engineering 6 3 Experimental Reaction Engineering 8 A Laboratory Reactors 8 B High Throughput Technology 9 C Dynamic Methods 10 D Operando and in situ spectroscopic methods including spatial information 11 4 Mathematical Modeling and Simulation 14 A Challenges 14 B Workflow of Modeling and Simulation 15 C Achievements & Trends 20 5 Reactor Design and Process Development 22 A Optimization of Transport Processes in the Reactor 22 B Miniplant Technology and Experimental Scale-up 24 C Equipment Development 25 D Process Intensification 29 E Systems Engineering Approaches for Reactor Analysis, Synthesis, Operation and Control 32 6 Case studies 35 Case Study 1: The EnviNOx® Process 35 Case Study 2: Redox-Flow Batteries 36 Case Study 3: On-Board Diagnostics for Automotive Emission Control 37 Case Study 4: Simulation-based Product Design in High-Pressure Polymerization Technology 39 Case Study 5: Continuous Synthesis of Artemisinin and Artemisinin-derived Medicines 41 7 Outlook 43 Imprint 47 2 Preface This 2nd edition of the Roadmap on Chemical Reaction Engi- However, Chemical Reaction Engineering is not only driven by neering is a completely updated edition. Furthermore, it is the need for new products (market pull), but also by a rational written in English to gain more international visibility and approach to technologies (technology push). The combina- impact. Especially for the European Community of Chemical tion of digital approaches such as multiscale modeling and Reaction Engineers organized under the auspices of European simulation in combination with experimentation and space Federation of Chemical Engineering (EFCE) it can be a contri- and time-resolved in situ measurements opens up the path to bution to help to establish a Roadmap on a European level. -
Brazilian Petrochemical Cluster
Brazilian Petrochemical Cluster Akerele, Toyosi; Barboza, Marden; Faria, Diogo; Gopaul, Lavan; Pares, David. Prof. Laura Alfaro. Harvard Kennedy School / Harvard Business School. May 2017. Rise in Government Debt: Inflation: • From 51% of GDP in 2013 to 70% in 2016 6% (2013) 10% (2016) • Brazilian Bonds downgraded to ”junk” (September 2015) Benchmark Interest Rate: 7% (2013) 14% (2016) Economic interventions (from 2010); • Uncertainty among producer and Industry Confidence Index: investors 58% (2013) 35% (2015) Administered prices (2006 to 2016) • Gasoline prices +44% • Minimum Wage +168% Unemployment: 5.4% (2013) 11.5% (2016) Investigations and corruption scandals: • Accusations against the President and political allies; Economic contraction (∆ GDP): • Public Protests (starting in 2013): 2014 2015 2016 • Dilma impeached (August, 2016) -0.3% -1.9% -2.5% Refineries are chemical plants that transform crude oil into oil products Crude oil Refinery Oil products Raw oil as produced, with Chemical plant with Fuels and chemical varying qualities: varying complexity, feedstocks with varying . Density: lighter oil according to: market values, such as: yield higher valued . Oil quality: lower oil . Diesel products quality can demand more . LPG . Sulfur content: sweet complex refineries . Jet fuel (low sulfur) oil can be . Mix of products: more . Naphtha refined simpler complex refineries can . Fuel Oil refineries yield higher valued . Asphalt products 3 Timeline First First Petroleum Petrobras is Pro Alcohol Refinery in reserve Stablished Program