[Virtual Presenter] Good morning everyone. Today we will discuss a research project conducted by Bhisetti Hari Venkata Prasad under the guidance of Dr. Sandip Kumar Lahiri. This project seeks to investigate the dynamic simulation of a distillation column using ASPEN Dynamics. Let's begin..
[Virtual Presenter] Distillation is a key element in chemical and petrochemical process plants for separating components from a complex feed and for producing desired purity levels. Accurate dynamic modelling of a distillation column is necessary for efficient process control and successful results. This research project focuses on dynamic modelling of a distillation column using ASPEN Dynamics, a powerful simulation tool. The project is headed by Dr. Sandip Kumar Lahiri, an experienced specialist in process control and dynamic simulation. The objective is to simulate the distillation column in various operating scenarios and to predict its behaviour in response to changes in feed rate, composition, and other process parameters..
[Audio] The research project I have been supervising focuses on using Aspen Dynamics to simulate a distillation column to separate a binary mixture of propane and iso-butane. Our goal is to have an overhead product that is at least 98 mole percent propane. We have a feed rate of 1.0 kmol/second and a pressure of 20 atm and a temperature of 322 K. This project provides a great opportunity to learn how to use Aspen Dynamics to simulate a distillation column with a given set of parameters..
[Audio] I am conducting a research project that uses ASPEN dynamics to simulate a distillation column. The goal of the project is to set up controllers, establish a control system, perform closed loop control analysis, tune the controllers, and do a steady state simulation. To interpret the data, I'll be using a range of methods including bar charts, line graphs, graphs, and box and whisker charts, all to gain insight into how the distillation process can be better managed..
[Audio] This slide focuses on the Route Map of the project, encompassing Steady State Simulation, exporting to the ASPEN Dynamics environment, installing controllers, dynamic simulation, controller tuning, and closed loop control dynamics. Like a person climbing a mountain, this project can be seen as a metaphorical journey. Every step of the project presents its own challenge, but with perseverance and hard work, the ultimate goal, symbolized by the top of the mountain, can be achieved. Under the supervision of Dr. Sandip Kumar Lahiri, I am confident that successful progress can be made. Let us embark on this path together..
[Audio] Process engineering has been evolving rapidly recently, with the emergence of new technologies. This research project focuses on using ASPEN Dynamics to simulate a distillation column under the supervision of Dr. Sandip Kumar Lahiri. The project involves specifying chemical components and physical properties, installing controllers, creating plots and running simulations for both steady-state and dynamic cases. Lastly, the isometric drawing will be examined to check the results..
[Audio] We are conducting a research project exploring the use of ASPEN Dynamics to simulate a distillation column with Dr. Sandip Kumar Lahiri supervising. Steady state simulation modeling plays a key role in the process of conceptualization, design, and evaluation. It is an idealistically defined term employed by engineers, indicating that variables remain constant over time. Moreover, this implies that no accumulation occurs in the system and the total mass and energy input is balanced with its output..
[Audio] Focus of this research project is the use of ASPEN Dynamics to simulate the distillation column under the guidance of Dr. Sandip Kumar Lahiri. Steady State Simulation is a powerful tool to evaluate intricate chemical processes and helps in improving design and operational parameters. This tool is useful in identifying tight spots and making changes to increase process productivity. We are using this technique to analyze the distillation column and obtain useful cognizance into its dynamics..
[Audio] I will provide a demonstration on how to use ASPEN Dynamics to simulate a distillation column with Dr. Sandip Kumar Lahiri's supervision. The feed stream parameters that must be specified in the simulation include the flow rate, composition, temperature, and pressure. The feed flow rate should be set to 1 Kmol/Sec, the temperature should be set to 322K, the feed pressure should be set to 20atm, and the feed composition should be 40 mol% propane and 60 mol% Isobutane. These parameters are outlined in William L. Luyben's 'Distillation Design and Control Aspen Simulation'..
[Audio] For this simulation, the number of stages has been set to 32, with a distillate rate of 0.4 Kmol/sec and a reflux ratio of 3. The condenser pressure is 40 mol% propane and 60 mol% isobutane, and the stage pressure drop is 0.0068 atm. The setup options, calculation of stages and condenser, valid phases, convergence, and operating specifications have all been included, and the procedure follows the Distillation Design and Control simulation by William L. Luyben..
[Audio] The slide shows the parameters for the pump and valves to be used in the research project. The pump pressure difference is 6 atm between the suction and discharge. The valve parameters are an outlet pressure of 14.2 atm and a pressure drop of 3 atm. To determine the discharge conditions and the outlet pressure, we need to set the discharge specification and pressure specification. To conclude, a performance curve will be used to determine both of these..
[Audio] This slide depicts the process of introducing components to the distillation column. Propane and isobutane, both of which originate from natural gas, will be added. This simulation will be conducted in order to adjust the temperature and pressure conditions of the distillation process for optimum results. Dr. Sandip Kumar Lahiri will be the supervisor for this research project, and will be verifying the accuracy of the simulation via ASPEN Dynamics..
[Audio] We have chosen to use the Chao-Seader base method for our simulations for this step of our research project. This method is suitable for light hydrocarbons at temperatures below 500 degrees Fahrenheit and pressures below 1500 psia; however, it is not recommended for systems with large concentrations of H2 or other non-hydrocarbons..
Complete Flowsheet of Steady State Simulation. V12 p 12 VII.
[Audio] This slide focuses on the results of a research project conducted on using ASPEN Dynamics to simulate the distillation column. We found that 4% of isobutane was in the distillate and 2.5% of propane was in the bottom. An important factor to consider was the total flow, which was 525127. Furthermore, we used the reference 'Distillation Design and Control Aspen Simulation by William L. Luyben' to guide us throughout the simulation process. That concludes my overview..
[Audio] The objective of this research project is to optimize the distillation column using the steady state simulation capabilities of the ASPEN Dynamics software, under the supervision of Dr. Sandip Kumar Lahiri. Our goal is to obtain a distillate stream with a maximum of 2 mol% isobutane, and a bottom stream with a maximum of 1 mol% propane. To achieve this, we will have to use the Design Spec/Vary function in the software. This function enables us to precisely modify the specifications of the distillation column to meet our objectives..
[Audio] In this slide, we will discuss the research project focused on using ASPEN Dynamics to simulate a distillation column under the supervision of Dr. Sandip Kumar Lahiri. To meet the design specification, we have to change the flow rate between 0.2 to 0.6 kmol per second in order to achieve less than or equal to 2 mol % isobutane in the distillate stream. We also have to adjust the reflux ratio between 1 to 5 to obtain less than or equal to 1 mol % propane in the bottom stream. The adjusted variables are presented in the slide and the design specifications are highlighted..
[Audio] The results of the steady state simulation carried out using ASPEN Dynamics are very encouraging, indicating that the distillation column is capable of producing a product with a purity of 99.2%. This simulation also provides insights into the energy consumption and process control of the column. Moreover, it can be used to make further predictions regarding the performance of the distillation column and the expected product properties. Overall, the simulation provides a strong foundation for further development of the column and optimization of the process..
[Audio] Dynamic simulation examines the rate at which mass and energy accumulate within the system and how long it would take to reach a stable condition, beginning from a specified initial state. This is different to steady-state simulation, which assumes that variables remain constant with regard to time. Time-varying behavior of the process is a necessary factor to consider when evaluating a process's reaction to modifications in the input conditions or disturbances. For our research project, we are employing the capable ASPEN Dynamics software to simulate the distillation column, under the direction of Dr. Sandip Kumar Lahiri..
[Audio] Dynamic simulation is a useful technique for improving process control beyond what can be gained through steady state simulations. It enables us to model the changes of process variables over time, as well as the effects of external disturbances on the system. Through our research project, under the guidance of Dr. Sandip Kumar Lahiri, we aim to use ASPEN Dynamics to simulate a distillation column in order to optimize the process control strategy and reach the desired level of performance..
[Audio] Our research project involved using ASPEN Dynamics to simulate a distillation column under the supervision of Dr. Sandip Kumar Lahiri. We exported our model to the ASPEN Dynamics environment and installed the necessary controllers such as a feed flow controller, a bottom level controller, a top level controller, a tray temperature controller and a pressure controller. These controllers allowed us to simulate the dynamic behavior of the distillation column and respond to changes in the input variables in a realistic way..
[Audio] We can see a diagram of a flowsheet in this slide that is prepared to be simulated. After the controllers have been installed, the distillation column can be simulated with ASPEN Dynamics. This simulation allows us to investigate the process under given conditions. Dr. Sandip Kumar Lahiri is overseeing the research project..
[Audio] We are undertaking a research project on a distillation column under the supervision of Dr. Sandip Kumar Lahiri. The manipulated variables we are examining are Feed Flow, Bottom Level, Top Level, Stage 9 Temperature, Reflux Mole Flow, and Top Pressure. The controlled variables we will be looking at are Stage 1 Temperature, Stage 32 Temperature, Molar Distillate Flow Rate, Distillate Purity, Molar Bottom Flow Rate, Bottom Purity, Reboiler Heat Duty, and Condenser Heat Duty. We will be using the ASPEN Dynamics software to evaluate the manipulated and controlled variables' impact on the distillation column..
[Audio] This research project, overseen by Dr. Sandip Kumar Lahiri, looks into the use of ASPEN Dynamics to simulate a distillation column. Of particular importance is the tray temperature controller which is attached to the tray that responds best to changes in temperature when adjustments are made to the design variable. The highest peak noted on the graph is on Tray number 9, and so the Stage 9 Temperature is connected with the controller. Data points gleaned from the chart include: 1.0238780000000247, 1.3459639999999808, 1.683517999999923, 1.7013199999999999, 1.90541, 1.985239999999, 2.1719499999999998, 2.2110810000000001, 1.5506249999999682, 1.2401230000000396 and 0.96040399999998272..
[Audio] I am highlighting a research project which uses ASPEN Dynamics to simulate a distillation column under the supervision of Dr. Sandip Kumar Lahiri. We will implement closed loop control to regulate the system, and observe the characteristics of various graphs. All controllers will be set to Auto while we examine how the simulation parameters respond to a 10% alteration in the feed flow rate..
[Audio] The chart in this slide shows that the feed flow rate has been increased by 10%. The ASPEN Dynamics simulation can help us understand the behavior of the distillation column under the supervision of Dr. Sandip Kumar Lahiri, and give us a more thorough understanding of the process..
[Audio] Dr. Sandip Kumar Lahiri led a research project whose focus was using ASPEN Dynamics to simulate a distillation column. The chart in the slide shows that a +5% increase of the stage 9 temperature yielded corresponding data. This simulation is proving to be very useful and further research is being conducted..
[Audio] This slide focuses on controller tuning and relay-feedback test, key parts of Professor Dr Sandip Kumar Lahiri's research project. The project looks to apply ASPEN Dynamics software to simulate the distillation column in a supervised way, a step to optimizing process parameters and boosting simulation accuracy. Appreciate your attention..
[Audio] Our research project focuses on the use of Aspen Dynamics to simulate a distillation column, with Dr. Sandip Kumar Lahiri supervising. To complete the project, we will draw on the seminal works of William Luyben, Jiann-Shiou Yang and Aspen Technology's Physical Property System. We will pay particular attention to Distillation Design and Control Using Aspen Simulation by William Luyben, and Optimization-based PI/PID Control for a binary distillation Column by Jiann-Shiou Yang, both from 2006. We will also consult a selection of Physical property methods and models from the same year by Aspen Technology. We will use this information to construct a robust and reliable distillation model..
[Audio] I have discussed the research project I am working on, which uses the ASPEN Dynamics software to simulate the distillation column under the supervision of Dr. Sandip Kumar Lahiri. I hope this presentation has been informative, and that you all have a better understanding of what I am working on. Thank you all for taking the time to listen to my presentation..