GeoHeat-GB: A geospatial power systems planning model for heat electrification in Britain
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Updated
Apr 16, 2024 - Python
GeoHeat-GB: A geospatial power systems planning model for heat electrification in Britain
A decision support tool for greenhouse design. Created as a part of the 4th year capstone design course at the University of Toronto Engineering Science Energy Systems specialization.
District heating system unit design and dispatch optimization dashboard using Mixed Integer Linear Programming (MILP).
A basic interactive dashboard with streamlit, plotly and powerplantmatching.
A data warehouse for high-powered scenario analysis in the domain of integrated assessment of climate change and energy systems modeling
A package to work with IAMC-style variable templates
Analysis & visualization of energy & climate scenarios
Atlite: A Lightweight Python Package for Calculating Renewable Power Potentials and Time Series
PyPSA-Eur: A Sector-Coupled Open Optimisation Model of the European Energy System
PyPSA: Python for Power System Analysis
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