Parametric and Generative Carbon Optimisation
Plugins to optimise embodied carbon parametrically and generatively.
Combining generative and parametric approaches
Parametric tools enable users to instantly quantify the change in impacts using any defined parametric dimensions, whereas evolutionary (generative) algorithms create new solutions within pre-defined boundaries.
One Click LCA can support both applications with its range of plugins.
Introducing One Click LCA solutions for
Parametric Carbon Optimisation
One Click LCA has existing off-the-shelf plugins for Rhino and Grasshopper.
Access EPDs and generic data
Within the plugins, you can access the world’s largest construction material database (including EPDs and generic data). Map the building elements/components of your design to their corresponding environmental profiles from the database.
This plugin is suitable for beginners. Users can automate the estimation of material quantities, map material environmental profiles, including EPDs, to the geometric objects of the
Rhino model, and get an instant overview of the embodied carbon of the project.
This plugin is suitable for more advanced users who could set up the parametric LCA model in Grasshopper. Users can map materials and get their results visualised, change the parameters and see in real-time their impacts on embodied carbon performance.
Solutions for Generative Carbon Optimisation
The model setup in Grasshopper can be used for generative (evolutionary) carbon optimisation. The One Click LCA plugin for Grasshopper can be integrated into the same Grasshopper script with any other plugin, which may be complementary or unrelated. Other plugins that have been successfully used with the One Click LCA Grasshopper plugin include:
Vem är Carbon Designer 3D för?
From plugins to cloud
Within the plugins, you can get the results limited to embodied carbon A1-A3 (materials manufacturing). However, you have an option to export to One Click LCA in the cloud and have a complete analysis with desired life cycle stages.