Chemical Process Simulation Tools

🏭Process Simulation Deep Dive: Ethanolamines Production Plant(MEA, DEA, TEA) – A #Conceptual vs. #Detailed Simulation! Hello LinkedIn community of process engineers, trainees, and professionals! I’m excited to share insights from my recent project (EA/MDEA Unit Al-HeltzIk MakIna Petrochemical Co.). I conducted a comprehensive simulation of an ethanolamine production unit based on the licensor (Sulzer Chemtech). The goal was to compare conceptual and detailed simulations while validating the process against real-world industrial data. 📤The #conceptual_simulation (.hsc file), along with a brief explanatory report and some references and sources of help from the reaction kinetics and process information, can be downloaded at the final link in the caption. Thank you for taking 7-12 minutes of your valuable time to read it and tell me your thoughts. I highly appreciate your useful feedback. #Process_Overview The unit produces 14,000 tons/year of ethanolamines, including: #Monoethanolamine (MEA): 4,600 tons/year #Diethanolamine (DEA): 5,700 tons/year #Triethanolamine (TEA): 3,700 tons/year The process involves the reaction of ammonia and ethylene oxide in a series of #parallel_reactions: 1) NH₃ + C₂H₄O → MEA 2) MEA + C₂H₄O → DEA 3) DEA + C₂H₄O → TEA 4) TEA+ C₂H₄O → Tetra & Heavies My key challenges included optimizing separation columns, checking process integration, managing heat integration, and ensuring thermodynamic consistency. Simulation Approach Software: Aspen Plus V12/Aspen HYSYS V14 (industrial-grade simulation). Simulation Duration (for just 1 Case): 175 hours Thermodynamic Models: UNIQUAC/UNIFAC and SRK for VLE (vapor-liquid equilibrium). Validation: Aligned with Sulzer licensor technology (Error margin <= 8%). 💡Key Findings & Design Anomalies Despite successful convergence, the simulation revealed intriguing design quirks: 1) Vacuum Columns: Air ingress observed in overhead streams (missing ejector nozzles in PFD). 2) Column Heights: Ranged from 13–25 meters—they used liquid head pressure for the top product in 2mbar, which is too difficult for operators to handle. 3) Reflux Network: Shared reflux lines between columns with mismatched pressures, risking cross-suction. 4) Reactor Pressure Drop: A 300 mBar spike in the reactor (material balance deviation). These observations highlight the gap between theoretical design and operational reality. 📥 I’d love your thoughts! Review the attached documents (#link below) and share your insights: 🔗 [https://lnkd.in/ecrJ-arR] #ProcessEngineering #Simulation #Ethanolamine #AspenHYSYS #ChemicalEngineering #IndustrialDesign #Processdesign #aspentech #aspenplus #chemicalplant

How do you go from a process requirement… to a real piece of equipment? I recently worked on a shell-and-tube heat exchanger design using both Aspen Plus and Aspen HYSYS (EDR), and this experience pushed me beyond simulation into real engineering design. The Challenge: Cool anhydrous ethanol from 65°C to 35°C using cooling water under realistic pressure drop constraints. Step 1: Process Simulation (Aspen Plus) • Determined heat duty 3.4 MW • Verified energy balance and thermal feasibility Step 2: Equipment Design (Aspen HYSYS – EDR) • Designed a shell-and-tube exchanger (BEM configuration) • 242 tubes (5.7 m length, triangular pitch) • 16 baffles to enhance shell-side heat transfer • Overall heat transfer coefficient 1760 W/m²·K • Pressure drop within limits (< 45 kPa) Key Insight: Simulation tells you how much heat must be removed Design tells you what equipment is required to achieve it. Engineering Reflection: The shell side controlled the overall heat transfer resistance, highlighting the importance of baffle design and flow dynamics in exchanger performance. Why This Matters: In real plant environments, success is not just about achieving temperature targets it’s about balancing: ✔ Heat transfer efficiency ✔ Pressure drop constraints ✔ Equipment size and cost This project strengthened my ability to connect: Process simulation → Equipment design → Practical implementation I’m continuously improving my skills in process engineering, heat transfer, and simulation tools. #ChemicalEngineering #ProcessEngineering #AspenHYSYS #AspenPlus #HeatExchanger #EngineeringDesign #EnergyEfficiency

Master Aspen HYSYS Basics: Essential Guide for Chemical & Process Engineers!As a process engineer in oil & gas, Aspen HYSYS is my go-to for simulating pumps, compressors, reactors, and columns—perfect for HAZOP, commissioning, and plant design. Just dove into this comprehensive intro guide by Engr. Mohd. Kamaruddin Abd Hamid (UTM), covering steady-state modeling from scratch. Key Highlights:Getting Started: Simulation Basis Manager for components, fluid packages (e.g., Peng-Robinson for hydrocarbons), and thermodynamics selection. Add streams with 4 specs (composition, flow, T/P/VF). Core Unit Ops: Pumps (efficiency calcs), compressors/expanders, heat exchangers, flash separators, reactors (conversion, equilibrium, CSTR), absorbers, and distillation columns (e.g., de-methanizer). Example: Pump water from 3-84 bar at 10% efficiency—outlet T rises ~18°C! Pro Tools: Workbook previews, Case Studies for sensitivity (e.g., molar volume vs. T), and EOS comparisons (PR vs. SRK). Great for students, refresher training, or Aspen HYSYS/ACCE workflows in gas processing. Includes hands-on problems like n-butane specific volume and water-gas shift reactions. What's your top HYSYS tip for fluid packages in cryogenic ops? Or real-world commissioning hacks? Share below! #AspenHYSYS #ProcessEngineering #ChemicalEngineering #OilAndGas #Simulation

Many fresh graduates start with Aspen #HYSYS, and the reason is understandable. It offers a simple interface, fast setup, and requires fewer details to build a working flowsheet. you enter the main inputs, connect the units, and obtain results quickly. This makes the learning curve smoother and gives a strong sense of progress, especially for first-time users of process simulation On the other hand, #Aspen_Plus demands more effort from the very beginning more careful selection of property methods,clearer definition of the simulation structure, direct handling of reactions and phase equilibria, and building models that include solid phases, with more patience required for convergence For this reason, many graduates avoid it early on not because it is weaker, but because it is more demanding. with experience, it becomes clear that each tool has its natural role Aspen HYSYS is well suited for #oil & #gas systems, separation units, compressors, pipelines, and fast operational studies. Aspen Plus is more suitable for complex chemical processes, reactive systems, multiphase (gas–liquid–#solid) modeling, and conceptual process design that requires deep control of thermodynamics and models. The real difference is not which software is better, but knowing when and why to use each one

“Have you ever wondered why a major company like AspenTech keeps two separate simulation tools for what seem to be similar processes?” Aspen HYSYS and Aspen Plus are like a spoon and a fork. Both help you eat, but when the menu changes from soup to steak, their roles are no longer interchangeable. Aspen HYSYS is indeed powerful for oil & gas systems involving fluids. However, when solids, chain reactions, or biomass are engaged in the process, their limitations become evident. It has become a significant barrier to creating accurate and representative simulations. At this point, simulation is no longer just about numbers. It's about truly understanding how a complex process behaves from start to finish. The challenge doesn't stop there. Oleochemical or biomass to energy projects often require flexible unit operations, kinetic libraries, and solid-solid interaction handling, features that HYSYS lacks. Trying to force it only leads to suboptimal results, wasted time, and unreliable decisions. This is where Aspen Plus becomes a game-changer with robust multiphase capabilities, solid handling features, and broader reaction engineering tools. It's not just software, it's a strategic tool for managing complex industrial processes. 📌Not all software is made to solve the same problems📌 ⁉️Have you chosen the one built for your next challenge? 🔗You can check out the portfolio of case studies I developed using Aspen Plus at the link below:👇 https://lnkd.in/getEAawH If you're interested, feel free to use these case studies to deepen your learning or even enhance your portfolio. 💌And don't hesitate to DM me if you'd like to discuss or run into any challenges while trying them out. Next up, I might share some Aspen HYSYS case studies, specifically focused on oil and gas processes. Stay tuned🙌 #ProcessSimulation #ChemicalEngineering #AspenPlus #ProcessEngineer #EngineeringSoftware

I'm excited to share a comprehensive training resource on Aspen Plus, developed to help chemical engineering students, researchers, and professionals gain hands-on experience in process modeling and simulation. Two detailed YouTube playlists are available, covering everything from Getting started with Aspen Plus to targeted case studies on Chemical Process Simulation. 🎓 Whether you're learning from scratch or brushing up your skills for process design, academic research, or industry use – this course has you covered. 🎯 Playlist 1: CHEMICAL PROCESS SIMULATION USING ASPEN PLUS 1.     Property Analysis (1/2): NIST Data Retrieval, Pure component & Binary mixture analysis https://lnkd.in/dpp4VemD 2.     Property analysis (2/2): Binary, Distillation synthesis, Mixture, & Solubility analysis https://lnkd.in/dHSmKb89 3.     Pressure Changers | Pump | Single & Multistage Compressor | Valve | Pipe https://lnkd.in/dp6qch29 4.     Heat exchangers: Heater/Coolers & Design and simulation of Shell & Tube heat exchangers https://lnkd.in/dPW4eW6q 5.     RDF Gasification Simulation | non-kinetic reactors | Sensitivity analysis https://lnkd.in/dYmBpGHE 6.     Single Stage 2-Phase & 3-Phase Separators | Flash2 & Flash3 | VLE & VLLE | Component Separator https://lnkd.in/drh4eP6S 7.     Multi-component Distillation Process | Shortcut DSTWU & Rigorous RADFRAC | FUG & MESH https://lnkd.in/dA292qAq 🎯 Playlist 2: ASPEN PLUS MASTERY & CERTIFICATION 1.     Lec 1.1: Getting Started With The Aspen Plus https://lnkd.in/duBxUYWN 2.     Lec 1.2: Add Components | View Properties | Databanks | User-Defined Component https://lnkd.in/dn6-brbb 3.     Lec 1.3: Electrolyte Wizard | Henry Components https://lnkd.in/d2TY_Nnh 4.     Lec 1.4: Property Methods | Method Assistant | Binary Interaction Parameters https://lnkd.in/dTYa_Wp9 5.     Lec 1.5: NIST TDE (Thermodata Engine) | Property Analysis https://lnkd.in/dsqDF5Fy 6.     Lec 1.6: Ternary Analysis | Property Estimation | Data Regression https://lnkd.in/dQUtMnpF 7.     Lec 2.1: Simulation Environment | Flowsheeting https://lnkd.in/dgTJmFE9 8.     Lec 2.2: MATERIAL Stream | Mixer, FSplit & SSplit https://lnkd.in/dHiNNRfX 9.     Lec 2.3: Flash2, Flash3, Decanter | Sep & Sep2 https://lnkd.in/dJZtN-yS 10.  Lec 2.4: RStoic, RYield, REquil, & RGibbs https://lnkd.in/dey2ag7T 11.  Lec 2.5: Power Law, LHHW kinetics, RCSTR, & RPLUG https://lnkd.in/dm68TXjt 12.  Lec 2.6: RBatch & Electrolyzer https://lnkd.in/dx7BWBY2

Aspen HYSYS Tutorial 22c: #2b(#1/3) Equilibrium Reactor—Hydrogen Production via SMR, WGS, & METHANATION REACTIONS In this tutorial, Dr. Shedrack walks through the modeling of a hydrogen production process in Aspen HYSYS using a combination of equilibrium and conversion reactors. The process is based on steam methane reforming (SMR), followed by the water–gas shift (WGS) reaction to increase hydrogen yield, and finally a methanation step to remove trace carbon monoxide from the product stream. Throughout the simulation, we will build the complete flowsheet, examine reactor behavior, and evaluate hydrogen production and heat duties. To keep the lesson focused and practical, this tutorial is divided into three video sessions, each not exceeding 15 minutes. This is a process simulation model that I developed in Aspen HYSYS. It can serve as a useful template for undergraduate and postgraduate students working on design or simulation projects. Students can build upon this model by exploring several possible improvements, such as: ·      Heat integration and energy optimization ·      Enhanced separation of downstream products ·      Process intensification ·      Recycle stream implementation and optimization ·      Process control and dynamic analysis The model provides a solid starting framework, allowing students to focus on process improvement, optimization, and deeper analysis as part of their academic research projects. #chemicalengineering, #processengineering, #reactionengineering, #aspenhysys, #processsimulation, #hydrogenproduction, #steamreforming, #steammethanereforming, #smr, #watergasshift, #wgs, #methanation, #reactordesign, #processmodeling, #industrialprocess, #engineeringeducation