ClimateTriage - Impactful open source contributions

Helping states, municipalities, utilities, and manufacturers identify which building stock improvements save the most energy and money.

Optimization of flexibility options and grid expansion for distribution grids based on PyPSA.

Fast and flexible physics-based battery models in Python.

A Python library for reading and manipulating meteorological remote sensing data and writing it to various image and data file formats.

An open source project to make working with MODFLOW groundwater models in Python easier.

Enables quantitative analysis of environmental audio, offering tools for processing, segmenting, and computing acoustic features.

This integration exposes the information and functions made available by Huawei Solar inverters directly via one of its Modbus interfaces in Home Assistant.

Aims to provide multi-scale, simulation-based, open source computational tools and models to support the design, analysis, optimization, scale-up, operation and troubleshooting of innovative, advanced energy systems.

An R package for climate data access building on the NetCDF-Java API.

A Sector-Coupled Open Optimization Model of the European Transmission System.

A library for building atmospheric circulation models that is designed from the outset to leverage data assimilation and machine learning tools.

Autonomous Power Interchange System is an innovative open-source platform that enables Physical Peer-to-Peer (PP2P) energy sharing between distributed batteries in microgrids.

Makes it easier to use hydrological models without having intimate knowledge about how to install and run the models.

An open source project and Python package that introduces labels in the form of dimensions, coordinates, and attributes on top of raw NumPy-like arrays, which allows for more intuitive, more concise, and less error-prone user experience.

An energy system modelling framework for investment (expansion) and dispatch (operations) optimisations using mixed-integer linear programming (MILP) - primarily for informing policy-maker & stakeholder decisions in the energy transition. Focuses on generalized & compact formulations (peer-reviewed publications) and efficient code implementation to handle large-scale problems (i.e. European) while maintaining sufficient granularity.