Thermodynamics analysis doesn't have to involve complex software or manual calculations. Whether you're analyzing heat exchangers, power cycles, or energy systems, Sourcetable transforms your thermal analysis workflow with AI-powered spreadsheet tools that understand engineering principles.
From calculating Carnot efficiency to modeling heat transfer coefficients, our platform combines the familiarity of spreadsheets with intelligent analysis capabilities that help you solve complex thermodynamic problems faster than ever.
Skip manual formula entry. Our AI understands thermodynamic relationships and automatically calculates properties, efficiencies, and energy balances.
Access steam tables, refrigerant properties, and material data directly in your spreadsheet without switching between references.
Catch errors early with intelligent checking of energy conservation, entropy principles, and unit consistency.
Generate T-s diagrams, P-v charts, and efficiency plots automatically from your thermodynamic data.
Explore how design parameters affect system performance with automated what-if scenarios and optimization suggestions.
Work seamlessly with SI, Imperial, or mixed units. Sourcetable handles conversions and maintains dimensional consistency.
See how engineers use Sourcetable to solve complex thermal analysis problems
A power generation facility needed to optimize their Rankine cycle efficiency. Using Sourcetable, they modeled steam properties at each state point, calculated work output and heat input, and identified that increasing superheat temperature by 50°C would improve efficiency by 2.3%. The analysis that previously took days now completes in hours.
An HVAC engineering team analyzed shell-and-tube heat exchanger performance for a new building system. They used Sourcetable to calculate LMTD, effectiveness, and pressure drops across different configurations. The AI suggested optimal tube arrangements that reduced pressure drop by 15% while maintaining heat transfer requirements.
A food processing company optimized their ammonia refrigeration system using Sourcetable's thermodynamic analysis. They modeled the vapor-compression cycle, calculated COP values, and identified that adjusting evaporator temperature by 3°C would reduce energy consumption by 8% while maintaining product quality.
An industrial furnace manufacturer used Sourcetable to analyze combustion efficiency and emissions. The platform calculated theoretical air requirements, flame temperatures, and flue gas compositions for different fuel mixtures. This helped them design burners with 95%+ efficiency and reduced NOx emissions.
A chemical processing plant analyzed their steam distribution network using Sourcetable. They calculated pressure drops, heat losses, and optimal insulation thickness across 50+ steam lines. The analysis revealed opportunities to reduce steam consumption by 12% through system modifications.
A manufacturing facility evaluated cogeneration potential using Sourcetable's thermodynamic modeling. They analyzed heat and power demands, calculated fuel utilization efficiency, and determined that a 2 MW cogeneration system would provide 18% energy cost savings with a 4.2-year payback period.
From data input to engineering insights in four simple steps
Enter your thermodynamic data - temperatures, pressures, flow rates, or material properties. Sourcetable recognizes engineering units and validates input ranges automatically.
Our AI applies thermodynamic principles to calculate properties, efficiencies, and energy balances. It accesses property databases and applies appropriate correlations based on your system type.
Get comprehensive results including efficiency calculations, energy flows, and system performance metrics. The AI identifies optimization opportunities and potential design improvements.
Create professional charts, diagrams, and reports. Export results to PDF or share interactive dashboards with your engineering team for collaborative analysis.
Calculate thermodynamic properties for steam, refrigerants, ideal gases, and real fluids using built-in equations of state and property correlations.
Analyze power cycles (Rankine, Brayton, Otto, Diesel), refrigeration cycles, and combined cycles with automatic state point calculations and performance metrics.
Calculate conduction, convection, and radiation heat transfer with built-in correlations for various geometries and boundary conditions.
Analyze combustion processes including stoichiometric calculations, flame temperatures, and emission predictions for various fuels.
Perform air conditioning and drying calculations with automatic psychrometric property calculations and process visualization.
Use built-in optimization algorithms to maximize efficiency, minimize energy consumption, or optimize heat exchanger design parameters.
Sourcetable includes comprehensive property databases for steam/water (NIST REFPROP equivalent), common refrigerants (R-134a, R-410A, ammonia, CO2), ideal and real gases, and combustion products. Properties are calculated using industry-standard equations of state and correlations.
Yes, Sourcetable handles complex thermodynamic cycles including combined gas-steam cycles, cogeneration systems, and custom configurations. The AI understands energy and mass balance relationships and can optimize multi-component systems automatically.
Sourcetable automatically manages unit conversions and maintains dimensional consistency throughout your analysis. You can input data in any engineering units (SI, Imperial, or mixed) and the system ensures all calculations are performed correctly with proper unit handling.
Absolutely. Sourcetable automatically generates T-s diagrams, P-v charts, h-s (Mollier) diagrams, and psychrometric charts from your thermodynamic data. You can customize these visualizations and export them for reports or presentations.
Yes, Sourcetable serves both educational and professional needs. It's used by engineering students for homework and projects, as well as by industry professionals for plant design, energy audits, and system optimization. The platform scales from simple problems to complex industrial applications.
The AI understands thermodynamic principles and relationships, automatically selects appropriate property correlations, suggests calculation methods, identifies potential errors, and recommends optimization strategies. It acts like an expert thermodynamics consultant built into your spreadsheet.
Yes, Sourcetable supports data import/export with common engineering formats and can integrate with CAD software, process simulation tools, and other engineering applications. This allows you to incorporate thermodynamic analysis into your existing workflow.
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