Mocca - v0.1.0

Mocca v0.1.0

Diff since v0.0.1

Restructuring of API under the hood. Minimal changes for users.

Breaking changes

• N-component generalisation
• Abstracted isotherm/mass transfer interfaces
• ConstantsStruct removed and refactored
• Addition of regression tests
• Removal of JutulDarcy dependency

Merged pull requests:

• Fix doc links (#29) (@FrancescaWatson)
• Add TagBot. (#30) (@FrancescaWatson)
• Update installation instructions after release in Julia package manag… (#31) (@FrancescaWatson)
• Add regression tests (#32) (@jakobtorben)
• Respect user-provided Tw_init as initial temperature before falling back to T_a (#34) (@nutspiano)
• Update setup_process_state to take in restart state from simulation. (#36) (@FrancescaWatson)
• Introduce abstract isotherm and mass transfer interfaces (#38) (@jakobtorben)
• Decompose ConstantsStruct, add column entity and clean up BC infrastructure (#39) (@jakobtorben)
• Generalise to an N-component system (#40) (@jakobtorben)
• Remove JutulDarcy dependency (#41) (@jakobtorben)

Closed issues:

• Refactor input format so users can easily define their own input parameters. (#6)
• Rewrite docs and deploy to github pages (#13)

Emissions - Carbon Capture - Julia
Published by github-actions[bot] 2 months ago

Mocca - v0.0.1

This is the first official release of Mocca! Developed by the Applied Computational Sciences group part of the Maths and Cybernetics Department, SINTEF Digital, Norway.

Mocca provides a Julia based framework for simulating pressure / temperature swing adsorption processes for CO2 capture. Mocca relies on Jutul as its numerical engine.

To learn more about using Mocca please see the documentation.

Currently available examples and features:

• An example 4-stage vacuum swing adsorption process for CO2 capture, from a two-component flue gas, using Zeolite 13X and a dual-site Langmuir model. Properties as described in Haghpanah et al. (2013)*
• Capabilities for Optimisation and History matching of input parameters
• Support for JSON based parameter inputs
• Support for .csv output of results

The authors would like to thank members of the Process Chemistry group in SINTEF Industry and the Process Technology group in SINTEF Energy for their valuable scientific input.

*Haghpanah, Reza, et al. "Multiobjective optimization of a four-step adsorption process for postcombustion CO2 capture via finite volume simulation." Industrial & Engineering Chemistry Research 52.11 (2013): 4249-4265.

Emissions - Carbon Capture - Julia
Published by FrancescaWatson 7 months ago