Pollination is the complete building performance simulation platform that helps you generate models, run simulations, and deliver trustworthy results.
And not only, it is also a development platform thanks to many libraries which it offers.
I am involved as application developer and partially as frontend developer of this great project.
A simple static page to learn how the UTCI index works.
UTCI (Universal Thermal Climate Index) is an index that express temperature of what the weather "feels like".
It is a small and easy to use open-source Grasshopper plugin able to read and write ERSI shapefile and geojson based on WGS84 reference system.
It has few and clear functionalities accessible to every level of expertise of Grasshopper/GIS. You can combine it with Ladybug and QGIS.
It uses a custom external library written in Python and you can find it on
Food4rhino.
It is an open-source plugin for Sketchup Pro to create Envimet 2.5D Model files (INX).
It command-based and it uses Ruby language. This was occasion to apply a new idea of OOP for Envimet entities: divide calculation in chunks.
You can find latest version on Sketchup Extension Warehouse.
A plugin to create Envimet 2.5D and 3D models (INX), write configuration files (SIMX) and run simulation. It is written with C#.
It is based on following projects: lb_envimet, df_envimet and Envimet INX. It contains a library of classes you can use with Grasshopper, Dynamo and other softwares.
df_envimet is a project for Grasshopper based on lb_envimet.
It can create Envimet 3D models (INX), simulation files and read almost all results among building and grid ones
It uses C# and it is compiled as *.gha to simplify its delivery.
It is current and official version you can find in Dragonfly Legacy of Ladybug Tools.
lb_envimet is a project for Grasshopper that I started when I joined Ladybug development team (2016). I made a series of components to connect Ladybug and Gismo to Envimet for urban microclimatic analysis. It can create Envimet 3D models (INX), simulation files and read some results. It is based on Python and it is still available on GitHub, but it require maintenance.
I developed the first NetCDF converter for ENVI-Met software. It lets the user convert all simulation outputs after a simulation is run. This offers the possibility for the users to visualize the
three-dimensional data using their preferred visualization tool e.g. Paraview.
It was replaced with a new improved version written directly into ENVI-Met core software and developed directly by Envimet team.
This project was financed by ENVI-Met GmbH.