DIETERpy: a Python framework for The Dispatch and Investment Evaluation Tool with Endogenous Renewables

@article{GaeteMorales2021DIETERpyAP,
  title={DIETERpy: a Python framework for The Dispatch and Investment Evaluation Tool with Endogenous Renewables},
  author={Carlos Gaete-Morales and Martin Kittel and Alexander Roth and Wolf-Peter Schill and Alexander Zerrahn},
  journal={ArXiv},
  year={2021},
  volume={abs/2010.00883}
}
DIETER is an open-source power sector model designed to analyze future settings with very high shares of variable renewable energy sources. It minimizes overall system costs, including fixed and variable costs of various generation, storage and sector coupling options. Here we introduce DIETERpy that builds on the existing model version, written in the General Algebraic Modeling System (GAMS), and enhances it with a Python framework. This combines the flexibility of Python regarding pre- and… Expand

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