ClimateTriage - Impactful open source contributions

Provides a simulation toolbox to run and implement large-scale agent-based electricity grid simulations with focus on distribution grids.

Provides tools to automate the morphological delineation of riverside urban areas following the CRiSp (City River Spaces) method.

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

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.

Provides utilities to support data models for infrastructure modeling in NREL-SIIP.

Download and process German energy data from BNetzA database Marktstammdatenregister.

A mechanism for data, environments, and user setup for common environmental and climate health datasets in R.

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 open-source solution to compute the carbon emissions due to the mobility of a local population.

A library of derived climate variables, i.e. climate indicators, based on xarray.

An open source and free software for Life Cycle Assessment extending the brightway2 framework.

Library for generating high-performance implementations of stencil kernels for weather and climate modeling from a domain-specific language.

A framework for realistic ocean-only and coupled ocean + sea-ice simulations driven by prescribed atmospheres and based on Oceananigans and ClimaSeaIce.

A lightweight Python-based tool that calculates the optimal time to run a compute job to minimise its carbon intensity enabling environmentally-conscious scheduling.

Estimates the energy consumption for each pipeline task based on the Nextflow resource usage metrics and information about the power consumption of the underlying compute system.