Please can anyone recommend an open source simulation software that is capable of simulating a thermochemical process using a lignocellulosic biomass?
I'm looking at a thermochemical process (specifically Pyrolysis), and i would prefer to use an 'open-source' software for the simulation. I know i may have to create a hypo-component and specify few properties and Aspen plus can be used, but i will appreciate anyone with a prior knowledge of which 'Open source' would also work for this, and maybe any available resources for it.
Dear Great Umenweke
there are maybe 3:
COCO Simulator
DWSIM
Open Modelica
This three are free software. But you have to check the Data Base for your Process and if it is possible to make a model.
best regards
torsten
Thanks Torsten Birth-Reichert
Lately, DWSIM has been of interest to me, but i guess i will check out Open Modelica for these features.
Thanks again.
Great Umenweke
Below link would be helpful:
DWSIM – The Open Source Chemical Process Simulator – DWSIM – The Open Source Chemical Process Simulator – Just another WordPress site (inforside.com.br)
Much chemical process modelling and/or simulation work can be done with the widely-used Microsoft’s Excel. It is not open source but there are some free-of-charge alternative spreadsheet programs that can fulfill most of 'classic' Excel’s capabilities, common or similar to those of Excel 5.0, even if not present at latest Excel version(s).
Application example ― Simulations carried in Excel 5.0 with Visual Basic for Applications (VBA) macros ― The recursive least squares algorithm (RLS) allows for (real-time) dynamical application of least squares regression to time series. Years ago, while investigating adaptive control and energetic optimization of aerobic fermenters, I have applied the RLS algorithm with forgetting factor (RLS-FF) to estimate the parameters from the KLa correlation, used to predict the O2 gas-liquid mass-transfer, while giving increased weight to most recent data. Estimates were improved by imposing sinusoidal disturbance to air flow and agitation speed (manipulated variables). The power dissipated by agitation was accessed by a torque meter. The proposed (adaptive) control algorithm compared favourably with PID. Simulations assessed the effect of numerically generated white Gaussian noise (2-sigma truncated) and of first order delay. This investigation was reported at (MSc Thesis):
Thesis Controlo do Oxigénio Dissolvido em Fermentadores para Minimi...
- Badges
- Science topic
- Similar topics
- Medicine
- Physiology
- Biosignals
- Biomedical Signal Processing
- Statistical Analysis