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Chemical Engineering Analysis Made Simple

Transform complex chemical processes into clear insights. Analyze reaction kinetics, optimize mass balance, and improve plant efficiency with AI-powered tools.


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Chemical engineering analysis doesn't have to feel like deciphering ancient hieroglyphs. Whether you're optimizing a reactor design, balancing complex chemical equations, or analyzing process efficiency, the right tools can transform mountains of data into actionable insights.

Imagine having an AI assistant that understands Antoine equations, McCabe-Thiele diagrams, and CSTR calculations as well as you do. That's the power of modern analytical tools designed specifically for engineering professionals.

Why Chemical Engineers Choose Advanced Analysis

Transform your process analysis workflow with tools built for engineering precision

Reaction Kinetics Analysis

Model complex reaction mechanisms, calculate rate constants, and optimize reaction conditions with built-in kinetic equations and parameter estimation tools.

Mass & Energy Balance

Automate tedious balance calculations for multiple process units. Handle recycle streams, purge calculations, and complex separation processes with ease.

Process Optimization

Use AI-powered optimization to find optimal operating conditions. Analyze trade-offs between yield, selectivity, and energy consumption automatically.

Equipment Sizing

Calculate reactor volumes, heat exchanger areas, and distillation column dimensions using industry-standard correlations and design equations.

Safety Analysis

Perform hazard analysis, calculate relief valve sizing, and assess process safety parameters with integrated safety calculation modules.

Economic Evaluation

Compare process alternatives with NPV calculations, sensitivity analysis, and cost estimation tools tailored for chemical processes.

From Raw Data to Process Insights

See how advanced analysis transforms your chemical engineering workflow

Import Process Data

Upload data from plant historians, lab results, or simulation software. Handle multiple file formats including CSV from process control systems and experimental data logs.

Apply Engineering Models

Use built-in chemical engineering correlations, thermodynamic models, and kinetic equations. The AI understands engineering units and automatically handles conversions.

Visualize Results

Generate process flow diagrams, P&ID representations, and engineering plots like McCabe-Thiele diagrams, with professional formatting for reports and presentations.

Optimize & Scale

Run sensitivity analyses, perform process optimization, and scale up from lab to pilot to commercial scale with confidence in your calculations.

Real-World Chemical Engineering Applications

See how professionals use advanced analysis to solve complex engineering challenges

Reactor Design Optimization

A process engineer optimized a continuous stirred tank reactor by analyzing residence time distribution data. By modeling the RTD curve and comparing different reactor configurations, they increased conversion efficiency by 15% while reducing energy consumption.

Distillation Column Analysis

An operations team troubleshooted poor separation performance by analyzing tray efficiency data. Using McCabe-Thiele construction and efficiency correlations, they identified flooding issues and optimized reflux ratio, improving product purity from 92% to 98.5%.

Heat Exchanger Network Optimization

A design team reduced utility costs by 30% using pinch analysis. They analyzed temperature-enthalpy diagrams, identified optimal heat integration opportunities, and designed a network that minimized both hot and cold utility requirements.

Catalyst Performance Evaluation

A research team tracked catalyst deactivation over time by analyzing conversion and selectivity data. They fitted deactivation models, predicted catalyst lifetime, and optimized regeneration schedules, extending catalyst life by 40%.

Process Safety Assessment

A safety engineer performed consequence analysis for a chemical reactor system. By modeling runaway reaction scenarios and calculating pressure relief requirements, they ensured compliance with safety standards and prevented potential incidents.

Scale-Up Analysis

A development team successfully scaled up a batch crystallization process from 5L to 1000L. They analyzed nucleation kinetics, growth rates, and mixing effects to predict full-scale performance and achieved target crystal size distribution.

Ready to Transform Your Process Analysis?

Detailed Analysis Examples

Reactor Performance Analysis

Consider a continuous stirred tank reactor (CSTR) producing a specialty chemical. The process engineer needs to analyze how conversion varies with residence time and temperature to optimize production rates.

Using reaction kinetics data, you can model the relationship: X = (k*τ)/(1 + k*τ) where X is conversion, k is the rate constant, and τ is residence time. The AI automatically fits Arrhenius parameters and predicts optimal operating conditions.

Separation Process Design

For a binary distillation column separating benzene and toluene, you need to determine the minimum number of theoretical plates and optimal feed location. By inputting vapor-liquid equilibrium data and feed composition, the system generates McCabe-Thiele diagrams and calculates design parameters automatically.

The analysis includes Rmin calculations, tray efficiency correlations, and hydraulic design checks - all integrated into a seamless workflow that reduces design time from days to hours.

Heat Transfer Analysis

When designing a shell-and-tube heat exchanger, you need to balance heat transfer area, pressure drop, and fouling resistance. The analysis tools automatically apply appropriate correlations for different flow regimes and calculate optimal tube arrangements.

From Nusselt number correlations to LMTD corrections, every calculation is validated against industry standards while maintaining full traceability for engineering reviews.


Frequently Asked Questions

Can I import data from process control systems like DCS or SCADA?

Yes, you can import data from virtually any process control system. The platform supports CSV, Excel, and direct database connections from popular DCS systems including Honeywell, Emerson, and Schneider Electric.

Are industry-standard correlations and equations built in?

Absolutely. The system includes thousands of chemical engineering correlations from Perry's Handbook, DIPPR database, and NIST. You can access everything from Antoine equations to complex thermodynamic models with simple natural language queries.

How accurate are the thermodynamic property calculations?

Property calculations use the same methods as commercial process simulators. You can choose from equation of state models like Peng-Robinson, SRK, or activity coefficient models like NRTL and UNIQUAC for maximum accuracy.

Can I create custom unit operations and models?

Yes, you can define custom unit operations, reaction kinetics, and property methods. The AI learns from your custom models and can apply them consistently across different analyses.

Is the platform suitable for both design and troubleshooting?

Definitely. Whether you're designing new equipment, optimizing existing processes, or troubleshooting operational issues, the platform provides the analytical tools and visualizations you need.

How does it handle uncertainty and sensitivity analysis?

The platform includes Monte Carlo simulation capabilities for uncertainty quantification and comprehensive sensitivity analysis tools. You can identify critical parameters and assess design robustness automatically.

Can I generate professional engineering reports?

Yes, you can create formatted engineering reports with calculations, plots, and conclusions. Reports can be exported to PDF or Word format and include all supporting calculations for peer review.

Is there support for process safety calculations?

The platform includes safety analysis modules for relief valve sizing, consequence modeling, and hazard assessment. All calculations follow industry standards like API 520 and CCPS guidelines.



Frequently Asked Questions

If you question is not covered here, you can contact our team.

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How do I analyze data?
To analyze spreadsheet data, just upload a file and start asking questions. Sourcetable's AI can answer questions and do work for you. You can also take manual control, leveraging all the formulas and features you expect from Excel, Google Sheets or Python.
What data sources are supported?
We currently support a variety of data file formats including spreadsheets (.xls, .xlsx, .csv), tabular data (.tsv), JSON, and database data (MySQL, PostgreSQL, MongoDB). We also support application data, and most plain text data.
What data science tools are available?
Sourcetable's AI analyzes and cleans data without you having to write code. Use Python, SQL, NumPy, Pandas, SciPy, Scikit-learn, StatsModels, Matplotlib, Plotly, and Seaborn.
Can I analyze spreadsheets with multiple tabs?
Yes! Sourcetable's AI makes intelligent decisions on what spreadsheet data is being referred to in the chat. This is helpful for tasks like cross-tab VLOOKUPs. If you prefer more control, you can also refer to specific tabs by name.
Can I generate data visualizations?
Yes! It's very easy to generate clean-looking data visualizations using Sourcetable. Simply prompt the AI to create a chart or graph. All visualizations are downloadable and can be exported as interactive embeds.
What is the maximum file size?
Sourcetable supports files up to 10GB in size. Larger file limits are available upon request. For best AI performance on large datasets, make use of pivots and summaries.
Is this free?
Yes! Sourcetable's spreadsheet is free to use, just like Google Sheets. AI features have a daily usage limit. Users can upgrade to the pro plan for more credits.
Is there a discount for students, professors, or teachers?
Currently, Sourcetable is free for students and faculty, courtesy of free credits from OpenAI and Anthropic. Once those are exhausted, we will skip to a 50% discount plan.
Is Sourcetable programmable?
Yes. Regular spreadsheet users have full A1 formula-style referencing at their disposal. Advanced users can make use of Sourcetable's SQL editor and GUI, or ask our AI to write code for you.




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Transform Your Chemical Engineering Analysis Today

Join thousands of engineers using AI-powered tools to optimize processes, reduce costs, and accelerate innovation.

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