Industry-leading simulation technology in an affordable, flexible and easy-to-use package that provides a cost-effective solution for simulation projects
This document discusses various types of chemical reactors and factors in reactor design. It describes batch, continuous, and semi-batch processes. Reactors can be classified based on phase type (homogeneous vs heterogeneous), geometry (stirred tank, tubular, packed bed, fluidized bed), and flow pattern. Key considerations in reactor design include reaction kinetics, heat and mass transfer, yield, and operating costs. The document provides examples of different chemical reactions and reactor configurations.
This presentation was delivered in the Indigenous Liberation Studies class by Angela Ruck.
This presentation examines the history of forced sterilization practices in Peru. In recent years, various groups of activists, journalists and artists have helped draw attention to the cause and started to weave a network of support to the thousands of women and men affected.
Sterilization refers to any process that eliminates all forms of life. There are physical and chemical sterilization methods. Physical methods include heat (dry heat, moist heat like autoclaving), radiation (electron beams, x-rays, gamma rays), and filtration. Chemical methods use liquid or gas disinfectants like ethylene oxide gas, alcohol, phenol, formaldehyde, and surfactants. Sterilization is important in medicine and surgery to sterilize instruments, medications, and devices entering the body to prevent infection.
鏤McBru customizes LinkedIn forums to create exclusive mindshare for Reaction Design: A small elite group of engineers and scientists from around the world can share ideas, questions and contacts in an exclusive LinkedIn group created and managed by McBru, keeping Reaction Design thought leadership and product capabilities forefront in their perceptions.
Here are the comparisons requested:
Noncompetitive inhibition vs allosteric inhibition:
- Both involve binding at a site other than the active site
- However, noncompetitive inhibition directly alters the active site conformation, while allosteric inhibition induces a conformational change through binding at a distant allosteric site
Allosteric activation vs cooperativity:
- Both amplify the enzyme's response to substrates by inducing favorable conformational changes
- However, allosteric activation involves binding of an activator at an allosteric site, while cooperativity occurs through substrate binding and involves interactions between subunits rather than an allosteric effector
So in summary, noncompetitive vs allosteric inhibition compare different
Solutions must be filled under aseptic conditions using sterilized containers and closures. The filled containers must be sealed immediately to prevent contamination before undergoing terminal sterilization. Autoclaving is the most effective sterilization method, using steam under pressure to sterilize aqueous liquids and substances penetrated by steam.
This document discusses decomposition reactions, where a single compound breaks down into simpler substances. Examples given include lead nitrate decomposing into lead oxide, oxygen, and nitrogen dioxide when heated. Blue copper sulfate pentahydrate also decomposes when heated, forming white copper sulfate and water vapor. Electrolysis and exposure to sunlight are provided as other means for decomposition reactions to occur, such as water decomposing into hydrogen and oxygen during electrolysis or silver chloride decomposing into silver and chlorine in the presence of light.
Fischer-Tropsch Catalysts: Preparation, Thermal Pretreatment and Behavior Du...Gerard B. Hawkins
油
Fischer-Tropsch Process
Themes
Competitive Dissociative Adsorption
Reducibility of Metal Oxides
Feed Stock ofthe Fischer-Tropsch Process
Catalytic Partial Oxidation
Heats of Reaction
Direct vs Indirect Catalytic Partial Oxida.....
This document discusses different types of reactor operations including plug flow reactors. Plug flow reactors operate with liquid flowing at a constant velocity and have concentration gradients of substrates and products developing along the direction of flow. Mass balance equations are developed to model an ideal plug flow reactor and equations are presented to calculate the reactor length and residence time required to achieve a desired conversion. Challenges with practical implementation of plug flow reactors are also discussed. A comparison of plug flow, continuous stirred-tank, and batch reactors is provided in terms of substrate conversion and product concentration.
In this topic we have discussed working principle of a Batch Reactor. We've also discussed its kinetics like its Rate equation, Material and Energy balance. Its Design steps also have been discussed.
Size reduction is the process of decreasing the physical dimensions of objects or materials by breaking them into smaller pieces. It is done by applying external forces to break larger particles into smaller ones. The main objectives of size reduction are to increase surface area for reactions, separate materials, improve handling and mixing. Some common size reduction methods are impact, compression, shear and attrition. Key factors that affect size reduction are the material's hardness, structure, abrasiveness, softening temperature and moisture content. Several theories describe the energy required for size reduction, including Rittinger's, Bond's and Kick's theories. Only about 10% of the total energy input is actually used to reduce particle size.
This document discusses aeration and agitation in fermentation processes. It explains that fermentations require oxygen which is typically provided by aerating and agitating the fermentation broth. Several factors affect the rate of oxygen transfer from air bubbles into the liquid including the mass transfer coefficient (KLa) and gas-liquid interface area. Higher KLa and interface area values provide more efficient oxygen transfer. The document also discusses methods for determining the KLa of a fermenter, including the gassing out technique where dissolved oxygen is monitored as the solution is aerated. Maintaining an optimal dissolved oxygen concentration is important for maximum biomass or product formation.
Efficient and Effective CFD Design Flow for Internal Combustion EnginesReaction Design
油
1) Traditional IC engine CFD simulations use simplified chemistry models that are insufficient for designing new high-efficiency engine concepts where kinetics effects dominate.
2) Detailed chemical kinetics models have been developed through the Model Fuels Consortium but cannot be directly incorporated into CFD due to high computational cost.
3) Reaction Design's CFD software uses novel parallel chemistry solvers that dramatically reduce simulation times, allowing the use of detailed chemical kinetics models for predictive 3D engine simulations.
Recent Advances in Fuel Chemistry Permit Novel Design ApproachesReaction Design
油
Todays combustion equipment market poses significant challenges with the rapidly changing fuels landscape, stricter emissions regulations and tight economic constraints. In the first paper of this series, we discussed how Computational Fluid Dynamics (CFD) alone is not providing the combustion simulation value required in todays business environment because of CFDs inherent limitations in handling complex combustion chemistry. In this paper, we will describe how the simulation of real fuel behavior has been achieved through recent advances in our understanding of detailed combustion chemistry and pollutant emissions formation.
Artificial intelligence-based software has been used for over 15 years to optimize fossil fuel power plant boiler operations by reducing nitrogen oxide emissions and improving efficiency. The technology has evolved from early advisory systems to current closed-loop applications that can optimize the entire boiler process. Boiler optimization now aims to address more diverse goals, like efficiency improvements, integrating renewable energy, and complying with new regulations. Modern systems use hybrid approaches combining neural networks, model predictive control, and expert rules to provide enhanced transparency and customizable solutions for power producers.
Artificial intelligence-based software has been used for over 15 years to optimize fossil fuel power plant boiler operations by reducing nitrogen oxide emissions and improving efficiency. The technology has evolved from early advisory systems to current closed-loop applications that optimize the entire boiler process. Boiler optimization now aims to address more diverse goals, like efficiency improvements, integrating renewable energy, and complying with new regulations. Modern systems use hybrid approaches combining neural networks, model predictive control, and expert rules to optimize complex, integrated processes across the boiler and improve transparency for operators.
Using a Detailed Chemical-Kinetics Mechanism to Ensure Accurate Combustion Si...Reaction Design
油
Todays market opportunities for combustion systems require focus on high-efficiency, low emissions and fuel-flexibility. In three previous white papers , we have discussed how use of detailed chemical kinetics in combustion simulation can provide accurate emissions predictions, simulate fuel effects and help gain insight into instability phenomena like Lean Blow Off (LBO). All of these topics focus on the use of high-fidelity chemistry simulation models for advanced combustion simulation by using highly accurate and detailed kinetics mechanisms. This white paper describes what a detailed kinetics mechanism is, how it is developed and validated and how it can be used in high-fidelity combustion simulation models to accelerate advanced combustion technology development.
Iaetsd computer simulation of compression ignition engine through matlabIaetsd Iaetsd
油
This document discusses a computer simulation of a compression ignition engine using MATLAB. The simulation models the engine cycle in two zones - a burned zone and unburned zone. It uses a Wiebe function to determine the mass fraction burned and calculates parameters like pressure, temperature, heat release and emissions over the engine cycle. The simulation is first validated against experimental engine test data. Sensitivity studies are then conducted by varying combustion model constants to better understand their impact on predictions and combustion mechanisms. The simulation calculates performance parameters like brake power, fuel consumption and efficiencies over the engine's operating range. It aims to provide insights into combustion and pollutant formation at different loads and injection timings.
This document describes the development of process simulation software for the polymer industry using object-oriented design and CAPE-OPEN standards. It discusses refactoring an existing Fortran code for simulating methyl methacrylate polymerization into logical objects and developing a wrapper to allow integration with other equipment models according to CAPE-OPEN. The conclusions highlight benefits like reduced code redundancy and improved maintenance, while suggestions focus on optimizing numerical computations for speed without sacrificing flexibility.
Soot Formation in Diesel Engines By Using CfdIJERA Editor
油
In order to meet the stringent emission standards significant efforts have been imparted to the research and
development of cleaner IC engines. Diesel combustion and the formation of pollutants are directly influenced by
spatial and temporal distribution of the fuel injected. The development and validation of computational fluid
dynamics (CFD) models for diesel engine combustion and emissions is described. The complexity of diesel
combustion requires simulations with many complex interacting sub models in order to have a success in
improving the performance and to reduce the emissions. In the present work an attempt has been made to
develop a multidimensional axe-symmetric model for CI engine combustion and emissions. Later simulations
have been carried out. Commercial validation tool FLUENT was used for simulation. The tool solves basic
governing equations of fluid flow that is continuity, momentum, species transport and energy equation. Using
finite volume method turbulence was modeled by using RNG K- model. Injection was modeled using La
Grangian approach and reaction was modeled using non premixed combustion which considers the effects of
turbulence and detailed chemical mechanism into account to model the reaction rates. The specific heats were
approximated using piecewise polynomials. Subsequently the simulated results have been validated with the
existing experimental values
The document discusses the development of an online calorific value sensor and models for optimizing control of municipal solid waste combustion (MSWC) systems. It describes the development of a sensor based on measurements of gases and humidity that can determine the calorific value and moisture content of waste in real time. Dynamic models of MSWC systems were also developed and validated. These models and the sensor allow optimization of control concepts for MSWC systems through advanced control methods like model predictive control and evolutionary control tested in EU projects.
The document proposes a plant to produce 150 million kg/year of dimethyl carbonate (DMC) through the oxidative carbonylation of methanol with carbon monoxide and oxygen. Technical and economic analyses were conducted assuming a 2-year construction period and 10-year operating time. Key findings include:
1) A single slurry reactor operating at 40 bar and 130属C coupled with distillation columns and a vapor recovery system can produce 99.8% pure DMC at a rate of 4.96 kg/s.
2) Economic analysis using a 12% enterprise rate estimates a $54 million total capital investment, $54 million net present value, 33% return on investment before taxes, and 12.5
Application of Bio-FAEG, a Biofouling Assessment Model in Engine Performance...Tosin Onabanjo
油
The recent advances for flexible fuel operation and the integration of biofuels and blends in gas turbines raise concern on engine health and quality. One of such potential threats involves the contamination and the growth of microorganisms in fuels and fuel systems with consequential effect on engine performance and health. In the past, the effects of microbial growth in fuels have been qualitatively described; however their effects in gas turbines have not necessarily been quantified. In this presentation, the effects of fuel deterioration are examined on a simulated aero-derivative gas turbine. A diesel-type fuel comprising of thirteen (13) hydrocarbon fractions was formulated and degraded with Bio-fAEG, a bio fouling assessment model that defines degraded fuels for performance simulation and analysis, predicts biodegradation rates as well as calculates the amount of water required to initiate degradation under aerobic conditions. The degraded fuels were integrated in the fuel library of Turbomatch (v2.0) and a twin shaft gas turbine was modeled for fuel performance analysis. The results indicate a significant loss in performance with reduced thermal efficiency of 1% and 10.4% and increased heat rate of 1% and 11.6% for the use of 1% and 10% degraded fuels respectively. Also parameters such as exhaust gas temperature and mass flow deviated from the baseline data indicating potential impact on engine health. Therefore, for reliable and safe operation, it is important to ensure engines run on good quality of fuel. This computational study provides insights on fuel deterioration in gas turbines and how it affects engine health.
Response Surface Optimization of Chemical Additives and Engine Parameters on ...IRJET Journal
油
The document discusses using response surface methodology and the Taguchi method to optimize engine performance parameters including hydrogen percentage, nanoparticles, ignition pressure, and ignition timing. The study found that 25% engine load, 20% hydrogen, 50 ppm nanoparticles, 220 bar ignition pressure, and 31 degrees before top dead center ignition timing optimized brake thermal efficiency while minimizing emissions and fuel consumption. Validation tests found the response surface methodology models' predictions to be within acceptable error ranges of experimental results. The methodology can be applied to further optimize additional variables and develop a more holistic engine performance model.
Steel Industry Calls for Shift in Vehicle Regulationskatehickey
油
Last week at the largest gathering of steel producers on the planet, worldsteel-45 Paris, WorldAutoSteel made a bold step in calling upon regulators around the globe to stop pursuing tailpipe only regulations and start pursuing those that use a life cycle assessment approach. Here\'s the presentation.
ANALYSIS OF EMISSION CHARACTERISTIC OF NM-DIESEL BLEND ON VCR DIESEL ENGINEijmech
油
This document analyzes the emission characteristics of a variable compression ratio diesel engine using a 2% nitro methane-diesel fuel blend. The author describes the test engine setup and instrumentation used to measure exhaust emissions. Experiments were conducted with pure diesel at a compression ratio of 17.5 and the NM-diesel blend at compression ratios of 17.5 and 16.5. Results show the NM-diesel blend produced higher carbon monoxide and hydrocarbon emissions compared to pure diesel. Nitrous oxide emissions were lower for the blend but increased when the compression ratio was reduced. Smoke and smoke density also increased with the lower compression ratio blend. In conclusion, lowering the compression ratio from 17.5 to 16.5 increased most emissions and
This document provides an introduction and guidelines for engineering design of an LPG unit. It discusses the conventional process and technologies used to extract LPG from natural gas liquids, including deethanizer, propane propylene splitter, depropanizer, and deisobutanizer columns. It covers general design considerations such as properties of LPG and NGL, and provides definitions of key terms. The guidelines include theories on column sizing and equipment design, example cases studies, and calculation spreadsheets.
Development of a new technology-rich simulation environment for exploring ene...IEA-ETSAP
油
This document summarizes Dr. Adam Hawkes' work developing a new simulation environment called MUSE for exploring energy system transitions with a focus on natural gas. MUSE will be a modular, technology-rich modeling tool to analyze questions around the role of gas in low-carbon energy systems and potential stranded gas assets. It will integrate various sectors like production, conversion, power and end-use demand through microeconomic foundations. The document outlines the structure and development of MUSE as well as potential applications in technology roadmapping and R&D prioritization. It also introduces Dr. Hawkes' team working on the project across various areas of natural gas including upstream production, infrastructure, and power generation.
This document discusses different types of reactor operations including plug flow reactors. Plug flow reactors operate with liquid flowing at a constant velocity and have concentration gradients of substrates and products developing along the direction of flow. Mass balance equations are developed to model an ideal plug flow reactor and equations are presented to calculate the reactor length and residence time required to achieve a desired conversion. Challenges with practical implementation of plug flow reactors are also discussed. A comparison of plug flow, continuous stirred-tank, and batch reactors is provided in terms of substrate conversion and product concentration.
In this topic we have discussed working principle of a Batch Reactor. We've also discussed its kinetics like its Rate equation, Material and Energy balance. Its Design steps also have been discussed.
Size reduction is the process of decreasing the physical dimensions of objects or materials by breaking them into smaller pieces. It is done by applying external forces to break larger particles into smaller ones. The main objectives of size reduction are to increase surface area for reactions, separate materials, improve handling and mixing. Some common size reduction methods are impact, compression, shear and attrition. Key factors that affect size reduction are the material's hardness, structure, abrasiveness, softening temperature and moisture content. Several theories describe the energy required for size reduction, including Rittinger's, Bond's and Kick's theories. Only about 10% of the total energy input is actually used to reduce particle size.
This document discusses aeration and agitation in fermentation processes. It explains that fermentations require oxygen which is typically provided by aerating and agitating the fermentation broth. Several factors affect the rate of oxygen transfer from air bubbles into the liquid including the mass transfer coefficient (KLa) and gas-liquid interface area. Higher KLa and interface area values provide more efficient oxygen transfer. The document also discusses methods for determining the KLa of a fermenter, including the gassing out technique where dissolved oxygen is monitored as the solution is aerated. Maintaining an optimal dissolved oxygen concentration is important for maximum biomass or product formation.
Efficient and Effective CFD Design Flow for Internal Combustion EnginesReaction Design
油
1) Traditional IC engine CFD simulations use simplified chemistry models that are insufficient for designing new high-efficiency engine concepts where kinetics effects dominate.
2) Detailed chemical kinetics models have been developed through the Model Fuels Consortium but cannot be directly incorporated into CFD due to high computational cost.
3) Reaction Design's CFD software uses novel parallel chemistry solvers that dramatically reduce simulation times, allowing the use of detailed chemical kinetics models for predictive 3D engine simulations.
Recent Advances in Fuel Chemistry Permit Novel Design ApproachesReaction Design
油
Todays combustion equipment market poses significant challenges with the rapidly changing fuels landscape, stricter emissions regulations and tight economic constraints. In the first paper of this series, we discussed how Computational Fluid Dynamics (CFD) alone is not providing the combustion simulation value required in todays business environment because of CFDs inherent limitations in handling complex combustion chemistry. In this paper, we will describe how the simulation of real fuel behavior has been achieved through recent advances in our understanding of detailed combustion chemistry and pollutant emissions formation.
Artificial intelligence-based software has been used for over 15 years to optimize fossil fuel power plant boiler operations by reducing nitrogen oxide emissions and improving efficiency. The technology has evolved from early advisory systems to current closed-loop applications that can optimize the entire boiler process. Boiler optimization now aims to address more diverse goals, like efficiency improvements, integrating renewable energy, and complying with new regulations. Modern systems use hybrid approaches combining neural networks, model predictive control, and expert rules to provide enhanced transparency and customizable solutions for power producers.
Artificial intelligence-based software has been used for over 15 years to optimize fossil fuel power plant boiler operations by reducing nitrogen oxide emissions and improving efficiency. The technology has evolved from early advisory systems to current closed-loop applications that optimize the entire boiler process. Boiler optimization now aims to address more diverse goals, like efficiency improvements, integrating renewable energy, and complying with new regulations. Modern systems use hybrid approaches combining neural networks, model predictive control, and expert rules to optimize complex, integrated processes across the boiler and improve transparency for operators.
Using a Detailed Chemical-Kinetics Mechanism to Ensure Accurate Combustion Si...Reaction Design
油
Todays market opportunities for combustion systems require focus on high-efficiency, low emissions and fuel-flexibility. In three previous white papers , we have discussed how use of detailed chemical kinetics in combustion simulation can provide accurate emissions predictions, simulate fuel effects and help gain insight into instability phenomena like Lean Blow Off (LBO). All of these topics focus on the use of high-fidelity chemistry simulation models for advanced combustion simulation by using highly accurate and detailed kinetics mechanisms. This white paper describes what a detailed kinetics mechanism is, how it is developed and validated and how it can be used in high-fidelity combustion simulation models to accelerate advanced combustion technology development.
Iaetsd computer simulation of compression ignition engine through matlabIaetsd Iaetsd
油
This document discusses a computer simulation of a compression ignition engine using MATLAB. The simulation models the engine cycle in two zones - a burned zone and unburned zone. It uses a Wiebe function to determine the mass fraction burned and calculates parameters like pressure, temperature, heat release and emissions over the engine cycle. The simulation is first validated against experimental engine test data. Sensitivity studies are then conducted by varying combustion model constants to better understand their impact on predictions and combustion mechanisms. The simulation calculates performance parameters like brake power, fuel consumption and efficiencies over the engine's operating range. It aims to provide insights into combustion and pollutant formation at different loads and injection timings.
This document describes the development of process simulation software for the polymer industry using object-oriented design and CAPE-OPEN standards. It discusses refactoring an existing Fortran code for simulating methyl methacrylate polymerization into logical objects and developing a wrapper to allow integration with other equipment models according to CAPE-OPEN. The conclusions highlight benefits like reduced code redundancy and improved maintenance, while suggestions focus on optimizing numerical computations for speed without sacrificing flexibility.
Soot Formation in Diesel Engines By Using CfdIJERA Editor
油
In order to meet the stringent emission standards significant efforts have been imparted to the research and
development of cleaner IC engines. Diesel combustion and the formation of pollutants are directly influenced by
spatial and temporal distribution of the fuel injected. The development and validation of computational fluid
dynamics (CFD) models for diesel engine combustion and emissions is described. The complexity of diesel
combustion requires simulations with many complex interacting sub models in order to have a success in
improving the performance and to reduce the emissions. In the present work an attempt has been made to
develop a multidimensional axe-symmetric model for CI engine combustion and emissions. Later simulations
have been carried out. Commercial validation tool FLUENT was used for simulation. The tool solves basic
governing equations of fluid flow that is continuity, momentum, species transport and energy equation. Using
finite volume method turbulence was modeled by using RNG K- model. Injection was modeled using La
Grangian approach and reaction was modeled using non premixed combustion which considers the effects of
turbulence and detailed chemical mechanism into account to model the reaction rates. The specific heats were
approximated using piecewise polynomials. Subsequently the simulated results have been validated with the
existing experimental values
The document discusses the development of an online calorific value sensor and models for optimizing control of municipal solid waste combustion (MSWC) systems. It describes the development of a sensor based on measurements of gases and humidity that can determine the calorific value and moisture content of waste in real time. Dynamic models of MSWC systems were also developed and validated. These models and the sensor allow optimization of control concepts for MSWC systems through advanced control methods like model predictive control and evolutionary control tested in EU projects.
The document proposes a plant to produce 150 million kg/year of dimethyl carbonate (DMC) through the oxidative carbonylation of methanol with carbon monoxide and oxygen. Technical and economic analyses were conducted assuming a 2-year construction period and 10-year operating time. Key findings include:
1) A single slurry reactor operating at 40 bar and 130属C coupled with distillation columns and a vapor recovery system can produce 99.8% pure DMC at a rate of 4.96 kg/s.
2) Economic analysis using a 12% enterprise rate estimates a $54 million total capital investment, $54 million net present value, 33% return on investment before taxes, and 12.5
Application of Bio-FAEG, a Biofouling Assessment Model in Engine Performance...Tosin Onabanjo
油
The recent advances for flexible fuel operation and the integration of biofuels and blends in gas turbines raise concern on engine health and quality. One of such potential threats involves the contamination and the growth of microorganisms in fuels and fuel systems with consequential effect on engine performance and health. In the past, the effects of microbial growth in fuels have been qualitatively described; however their effects in gas turbines have not necessarily been quantified. In this presentation, the effects of fuel deterioration are examined on a simulated aero-derivative gas turbine. A diesel-type fuel comprising of thirteen (13) hydrocarbon fractions was formulated and degraded with Bio-fAEG, a bio fouling assessment model that defines degraded fuels for performance simulation and analysis, predicts biodegradation rates as well as calculates the amount of water required to initiate degradation under aerobic conditions. The degraded fuels were integrated in the fuel library of Turbomatch (v2.0) and a twin shaft gas turbine was modeled for fuel performance analysis. The results indicate a significant loss in performance with reduced thermal efficiency of 1% and 10.4% and increased heat rate of 1% and 11.6% for the use of 1% and 10% degraded fuels respectively. Also parameters such as exhaust gas temperature and mass flow deviated from the baseline data indicating potential impact on engine health. Therefore, for reliable and safe operation, it is important to ensure engines run on good quality of fuel. This computational study provides insights on fuel deterioration in gas turbines and how it affects engine health.
Response Surface Optimization of Chemical Additives and Engine Parameters on ...IRJET Journal
油
The document discusses using response surface methodology and the Taguchi method to optimize engine performance parameters including hydrogen percentage, nanoparticles, ignition pressure, and ignition timing. The study found that 25% engine load, 20% hydrogen, 50 ppm nanoparticles, 220 bar ignition pressure, and 31 degrees before top dead center ignition timing optimized brake thermal efficiency while minimizing emissions and fuel consumption. Validation tests found the response surface methodology models' predictions to be within acceptable error ranges of experimental results. The methodology can be applied to further optimize additional variables and develop a more holistic engine performance model.
Steel Industry Calls for Shift in Vehicle Regulationskatehickey
油
Last week at the largest gathering of steel producers on the planet, worldsteel-45 Paris, WorldAutoSteel made a bold step in calling upon regulators around the globe to stop pursuing tailpipe only regulations and start pursuing those that use a life cycle assessment approach. Here\'s the presentation.
ANALYSIS OF EMISSION CHARACTERISTIC OF NM-DIESEL BLEND ON VCR DIESEL ENGINEijmech
油
This document analyzes the emission characteristics of a variable compression ratio diesel engine using a 2% nitro methane-diesel fuel blend. The author describes the test engine setup and instrumentation used to measure exhaust emissions. Experiments were conducted with pure diesel at a compression ratio of 17.5 and the NM-diesel blend at compression ratios of 17.5 and 16.5. Results show the NM-diesel blend produced higher carbon monoxide and hydrocarbon emissions compared to pure diesel. Nitrous oxide emissions were lower for the blend but increased when the compression ratio was reduced. Smoke and smoke density also increased with the lower compression ratio blend. In conclusion, lowering the compression ratio from 17.5 to 16.5 increased most emissions and
This document provides an introduction and guidelines for engineering design of an LPG unit. It discusses the conventional process and technologies used to extract LPG from natural gas liquids, including deethanizer, propane propylene splitter, depropanizer, and deisobutanizer columns. It covers general design considerations such as properties of LPG and NGL, and provides definitions of key terms. The guidelines include theories on column sizing and equipment design, example cases studies, and calculation spreadsheets.
Development of a new technology-rich simulation environment for exploring ene...IEA-ETSAP
油
This document summarizes Dr. Adam Hawkes' work developing a new simulation environment called MUSE for exploring energy system transitions with a focus on natural gas. MUSE will be a modular, technology-rich modeling tool to analyze questions around the role of gas in low-carbon energy systems and potential stranded gas assets. It will integrate various sectors like production, conversion, power and end-use demand through microeconomic foundations. The document outlines the structure and development of MUSE as well as potential applications in technology roadmapping and R&D prioritization. It also introduces Dr. Hawkes' team working on the project across various areas of natural gas including upstream production, infrastructure, and power generation.
Performance analysis of ic engine using air energizereSAT Journals
油
Abstract In normal circumstances, due to incomplete combustion, 30% of the fuel remains unburnt and is emitted in the form of black smoke, causing air pollution. Moreover, the carbon originating from incomplete fuel combustions, settles on the spark plug and on the engine piston, thus diminishing the compression capacity of the piston and increasing the friction factor. This rate of carbon deposition increases especially in city driving, as the engine works much of the time at part throttle. Excess carbon decreases the compression ratio of the engine which ultimately robs the engine of its power, due to acute knocking or detonation. The above problem can be reduced to some extent by making use of paramagnetic property of oxygen present in the incoming air i.e. by passing the air through external magnetic field. Keywords: Air Energizer, Magnet, IC engine;
Performance analysis of ic engine using air energizerLaukik Raut
油
In normal circumstances, due to incomplete combustion, 30% of the fuel remains unburnt and is emitted in the form of black
smoke, causing air pollution. Moreover, the carbon originating from incomplete fuel combustions, settles on the spark plug and
on the engine piston, thus diminishing the compression capacity of the piston and increasing the friction factor. This rate of
carbon deposition increases especially in city driving, as the engine works much of the time at part throttle. Excess carbon
decreases the compression ratio of the engine which ultimately robs the engine of its power, due to acute knocking or detonation.
The above problem can be reduced to some extent by making use of paramagnetic property of oxygen present in the incoming air
i.e. by passing the air through external magnetic field
Additional information will be presented by Dr. Terry Ramus and Dr. Scott Hein at the RTGA webinar on June 18 at 4-5pm CEST. Please register at: http://bit.ly/LT6A4n
Introduction
The last few years have seen an accelerating pace of new fuel development. This has increasingly lead to the need for high performing diagnostic and monitoring tools that can help lower costs and improve efficiencies. Rapid quantitative chemical measurement can aid in the understanding and design of all aspects of fuel processing systems.
The Diablo 5000A Real-Time Gas Analyzer (RTGA) based on the Agilent 5975 Mass Selective Detector has proven to be a powerful analytical tool for the study and optimization of fuel cell systems and syngas production and use. This white paper will detail how the Diablo 5000A RTGA provides a stable, reliable and quantitative solution to continuous chemical monitoring in fuel processing systems that is not possible with residual gas analyzers.
Thank you for downloading the RTGA White Paper.
This document provides an overview of green chemistry and green engineering principles through 30 slides. It discusses sustainable development goals and how green skills can provide green jobs. The 12 principles of green chemistry are then examined in detail, including maximizing atom economy, designing safer chemicals and processes, energy efficiency, use of renewable feeds, catalysis, and designing for degradation. Industrial case studies on energy mapping and efficiency improvements in EDC-VCM production are presented.
2. RD software enables virtual experimentation RDs software allows designers to visualize the effects of chemistry on their engine designs Simulation can help determine key parameters that can affect efficiency and emissions Engine designers can accurately simulate with different fuel combinations Simulation is much faster and much less expensive than prototype and testing Complexity, Capability, Time Cost Testing Simulation
3. Focus on efficient combustion strategies Source: World Energy Outlook 2006 Over 83% of Energy Demand Growth will be in Fossil Fuels Oil Natural gas Coal Nuclear power Hydro power Other renewables 0 1 000 2 000 3 000 4 000 5 000 6 000 1970 1980 1990 2000 2010 2020 2030 Mtoe
5. Why MFC? Real fuels are too complex to simulate directly 100s of fuel components + 3 more pages
6. Pure fuel mixtures used to simulate real fuels 1 or 2 molecules represent each significant chemical class, e.g.: Detailed chemistry models are built for each molecule Model fuels allow accurate simulation results reducing development time and need for experiments
7. Assembling Model Fuels Tailor to prediction of desired combustion and physical properties: Ignition delay Knocking tendency Flame speeds Pollutant emissions Sooting tendency & particle size distributions Density, viscosity, heating value
8. MFC accomplishments and current work Results to date include: Developed new methodology for model fuel creation Created database of fuel component models Software tools to predict octane/cetane number and reduce model sizes Proved accuracy of the models through extensive validation 2008 Work: Model development for new fuels (biofuels) Further experimental validation Investigation of soot pre-cursors 45% 15% 3% 1% 15% 19% aromatics olefins c-paraffins i-paraffins n-paraffins n-heptane Iso-octane 1-pentene mchexane m-xylene ethanol n-heptane
9. MFC members identified the need for MFC-II Fuels landscape continues to change Need dynamic generation of new components Major challenges related to particulate emissions Prediction and control of particulate size and number required by new regulations Tradeoffs associated with fuel and engine technology changes Current soot models are insufficient Only valid in very narrow ranges of operation Not predictive and often give wrong trends Do not enable innovation
10. Challenge 1: Widening range of petro fuels Sources of petroleum impact fuel combustion and performance profiles Fossil Fuel Resource Alternatives Source: Global Insight 2006
11. Challenge 2: Emissions regulations A major driver of cost and design considerations New regulations include particle size limits Cost of catalyzed aftertreatment continues to rise System complexity challenges current design methods Source: OISA 2007
12. Particle growth and elimination must be taken into account in the design of next generation engines, fuels and aftertreatment systems A. Mayer, SCAQMD/CARB Keynote, 2006 Challenge 3: Modeling particulate formation
13. MFC-II drives clean combustion design Goals of MFC-II Quantitative assessment of design tradeoffs Soot particle-size control, NO x formation and engine performance Reduction of pollutants before engine out lowering the cost of aftertreatment Better simulation tools to allow accurate full system-level emulation
15. CHEMKIN-PRO for Clean Combustion Advanced version of de facto chemistry standard for Power Users Speed improvement reduces solution time from Days-to-Hours or from Hours-to-Minutes Enables use of more accurate chemistry in demanding applications Full feature set: Reaction Path Analyzer Multi-Zone Engine Model Soot/Particle Tracking Uncertainty Analysis Pollutant Formation Ignition & Flame Speed
17. Speed-Up on Complex Models Required to Meet Modern Design Work Flow 103 PSR Gas Turbine Network: From 5 hours to 13 minutes
18. Speed-Up on Complex Models Required to Meet Modern Design Work Flow IC Engine Model: From 53 minutes to 3 minutes
19. CHEMKIN-PROs Reaction Path Analyzer Graphically explore chemical bottlenecks Identify crucial species and reactions See the underlying chemistry in the process Key tool for mechanism reduction
20. CHEMKIN-PRO Multi-zone Modeling A simulation-time efficient model for Homogeneous Charge Compression Ignition (HCCI) engines Facilitates parametric what if studies Engine/operating parameters Reduction of combustion chemistry mechanism Addresses in-cylinder non-homogeneities Local heat loss Residual gas or recycled exhaust gas Pollutant Formation Near Wall & Crevices Ignition & Flame Speed in Bowl
21. Driving Clean Combustion Design Reaction Design is working with industry to bring clean combustion technologies to the market MFC delivering gasoline and diesel tools and mechanisms to the transportation industry Launching MFC-II to focus on particulates and alternative fuels CHEMKIN-PRO delivers the speed to take advantage of the new mechanism understanding