ClimateTriage - Impactful open source contributions

Models and optimizes capacity & dispatch of electricity supply systems, off-grid or connected to a (weak) central grid.

Energy Management for Home Assistant, is a Python module designed to optimize your home energy interfacing with Home Assistant.

An application to define, manage, and execute various energy system simulation models.

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.

Open Automated Demand Response (OpenADR) is an open and interoperable information exchange model and emerging smart grid standard.

A model generator for energy system modeling and optimization.

A model of the European electricity system built using Calliope.

Open Source Energy Management System.

Assesses optimal designs for the deployment of utility-scale hybrid energy plants, particularly considering wind, solar and storage.

A framework to develop energy system models, with a focus on flexibility, high spatial and temporal resolution, the ability to execute many runs based on the same base model, and a clear separation of framework and model.

A highly-configurable, open source electricity resource capacity expansion model that incorporates several state-of-the-art practices in electricity system planning to offer improved decision support for a changing electricity landscape.

Makes a (not so) smart meter without a P1 port easily readable, reading the pulse LED that is always present in most cases and it works with ESPHome!

An Open Optimisation Model of the Earth Energy System.

A free software toolbox for simulating and optimizing modern power systems that include features such as conventional generators with unit commitment, variable wind and solar generation, storage units, coupling to other energy sectors, and mixed alternating and direct current networks.

A library for steady-state distribution power system analysis distributed for Python and C.