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Advanced Thermochemical Process Simulation

GIBBS.
PYROLYSIS.
GASIFICATION.

Next-generation process simulation for complex thermochemical conversion — where traditional tools are too expensive, too slow, or technically limited. Built on proven STANJAN Gibbs minimisation by a process engineer with 20+ years of hands-on experience.

Launch Simulation → View Platform
17
Unit Operations
1000
kg/hr TDF Validated
954K
Adiabatic T Solved
7/7
Sprint Tests Passing
Built with ⚙ Fortran Thermodynamics Core | 🤖 AI Flowsheet Agent | ⚡ STANJAN Gibbs Minimisation | 🧪 Peng-Robinson EOS
// Platform

ENGINEERED FOR
HARD PROCESSES

Multi-phase equilibrium, non-conventional solid handling, yield-Gibbs hybrid modeling, and real-time PFD — developed by engineers who actually work on these systems.

01 // SOLVER
STANJAN Gibbs Engine
Industrial-grade Fortran engine using the proven STANJAN element potential method. Multiphase equilibrium — solid C(s), H₂S, tars — validated on 1,000 kg/hr TDF operations.
02 // THERMO
Fortran PR EOS
Peng–Robinson equation of state with NASA 7-coefficient polynomials. Flash PT, PH, bubble/dew point, entropy — all Fortran-backed.
03 // AI
AI Flowsheet Agent
Advanced AI agent for rapid flowsheet generation, diagnosis, and optimization. Full manual control for precision engineering — AI assistance for speed.
04 // SOLIDS
NC Solid Handling
Aspen-style MIXED + CISOLID + NC substreams. Tyre, biomass, RDF, coal — proximate/ultimate analysis, yield reactor, char separator.
05 // MODES
Isothermal + Adiabatic
GibbsReactor runs isothermal (specify T) or adiabatic — T solved automatically by bisection energy balance from feed enthalpy.
06 // API
REST API + WebSocket
Full FastAPI backend. Async job queue, real-time WebSocket updates, JWT auth. Export JSON/CSV. Embed in any engineering workflow.
// Computational Foundation

FORTRAN CORE.
PYTHON BRAIN.
AI LAYER.

A hybrid stack purpose-built for thermochemical engineering — not adapted from generic scientific computing.

Gibbs free energy minimisation (STANJAN)
Peng-Robinson EOS (Fortran)
NASA 7-coeff thermophysical properties
Sequential modular flowsheet solver
Topological sort + Wegstein convergence
AI agent (Claude Sonnet backbone)
! Element potential method (STANJAN) subroutine gibbs_min(n_elem, n_spec, b, T, P, n_out) use stanjan_engine real(8), intent(in) :: b(n_elem) real(8), intent(out) :: n_out(n_spec) ! Solve element potentials λ call solve_lambda(b, T, P, lam) ! Species moles at equilibrium do i = 1, n_spec n_out(i) = exp(dot_product(A(:,i), lam) - g0_i) end do ! Phase stability — Reynolds criterion call check_phase_stability(lam, g0, A, P, status) end subroutine T_adiabatic = 954.9 K ! TDF result
// Applications

BUILT FOR
HARD PROCESSES

Specialized in thermochemical conversion where traditional tools are too expensive, too slow, or technically limited.

Tyre & Plastic Waste Pyrolysis
Biomass & Waste Gasification
Bioenergy & Co-firing Systems
Solid Oxide Fuel Cell Integration
Industrial Decarbonization
Alternative Fuel Substitution
CO₂ Capture & MBCL Systems
Wet Flue Gas Cooling
Syngas Processing
Carbon Black Recovery
// Live Platform

REAL ENGINEERING
IN YOUR BROWSER

Every screenshot below is from the live Chemflow platform — not a mockup.

STEP 3 // FLOWSHEET CANVAS — Tyre Pyrolysis + Air Gasification Converged · 7 units · 248 kW
Chemflow Flowsheet
STEP 1 // COMPONENT DATABASE
Component Database
STEP 2 // THERMODYNAMIC PROPERTIES
Properties
STEP 4 // FLOWSHEET SOLVER
Solver
STEP 5 // RESULTS — T=954.9K ADIABATIC
Results
Try It Live →
// Validated Case Study

WASTE TYRE
GASIFICATION

1000 kg/hr waste tyre feedstock through integrated pyrolysis and STANJAN Gibbs equilibrium gasification. Full CHONS elemental balance closure validated.

1.37
H₂/CO Ratio
128.3
Syngas kmol/hr
0.91
Ash kmol/hr
−951
Duty kW
Process Flowsheet
Tyre Feed 1000 kg/hr Pyrolysis 500°C Ash O₂ Feed 20 kmol/hr Steam 60 kmol/hr Mixer 106 kmol/hr Gasifier 1400 K STANJAN Gibbs Min. Syngas 128.3 kmol/hr
Validated Stream Results
Stream Flow T (K) Key Composition
S1 Tyre Feed1000 kg/hr298NC Solid
S2 Pyrogas63.9 kmol/hr773C(s)=59% H₂=24%
S3 Ash0.91 kmol/hr773SiO₂=32% ZnO=28%
S4 O₂20 kmol/hr400O₂=100%
S5 Steam60 kmol/hr400H₂O=100%
S6 Mix Feed106 kmol/hr492Mixed
S7 Syngas128.3 kmol/hr1400H₂=30% CO=22% H₂O=35%
Parametric Sensitivity — Equivalence Ratio Effect
0.40 0.30 0.20 0.10 0.00 0.15 0.25 0.35 0.45 0.50 Equivalence Ratio (ER) mol fraction H₂ (mol fraction) CO (mol fraction) H₂O (mol fraction)
// Get Started

BUILD ADVANCED
CARBON SYSTEMS

Whether you are developing pyrolysis plants, carbon recovery systems, CO₂ capture, or advanced thermal processes — Calvyx supports engineering studies, simulation, and deployment.

Launch Simulation → Request Engineering Study
// Validated Cases

PROVEN IN
REAL APPLICATIONS

Chemflow has been validated against industrial-scale operations and published engineering data.

CASE 01 // GASIFICATION
Waste Tyre Gasification
1,000 kg/hr TDF feed rate. Full elemental mass balance closure. Adiabatic temperature solved by bisection — no assumption needed.
Feed rate1,000 kg/hr TDF
T_adiabatic954.9 K
O mass balance304.6 = 304.6 ✓
SolverSTANJAN + adiabatic
CASE 02 // PYROLYSIS
Tyre Pyrolysis Yield Prediction
NC solid feed via proximate/ultimate analysis. YieldReactorV2 with configurable product distribution. Gas/oil/char phase splitting.
C(s) yield51.8 mol%
H₂ yield24.7 mol%
CH₄ yield12.4 mol%
T_reactor773 K
CASE 03 // THERMODYNAMICS
Flash & Phase Equilibrium
PT and PH flash validated for CH₄/C₃H₈ mixtures. Bubble/dew point calculation. Compressor isentropic efficiency via entropy departure.
Flash PT (VF)0.608 ✓
Bubble T165.2 K ✓
Compressor T₂542.6 K ✓
Sprint tests7/7 passing ✓
// Engineering Services

REQUEST AN
ENGINEERING STUDY

Calvyx provides feasibility studies, mass & energy balances, PFD development, equipment sizing, and process optimization for thermochemical conversion systems.

Feasibility & screening studies
Mass & energy balance packages
Process optimization & heat integration
Pilot scale-up engineering
Request Engineering Study →
// PROCESS DIAGRAM
FEED NC Solid YIELD REACTOR V2 MIX + O₂/AIR Feed GIBBS REACTOR STANJAN GAS T_ad = 954.9 K C(s) = 51.8%
// Contact

GET IN TOUCH

DR RAJESH S KEMPEGOWDA
Senior Researcher – Bioenergy
Norway
rajeshsk76@gmail.com
LinkedIn Google Scholar ResearchGate Academia.edu — NTNU NVA Research Profile Patents — PatentGuru