Abstract
DiGriPy is a newly developed Python tool for the simulation of district heating networks published as open-source software in GitHub and offered as a Python package on PyPI. It enables the user to easily build a network model, run large-scale demand time series, and automatically compare different temperature-control conditions. In this paper, implementation details and usage instructions are given. Tests showing the results of different scenarios are presented and interpreted.
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Vorspel, L., & Bücker, J. (2021). District-heating-grid simulation in python: Digripy. Computation, 9(6). https://doi.org/10.3390/computation9060072
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