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

Abstract

DIETER is an open-source power sector model designed to analyze future\nsettings with very high shares of variable renewable energy sources. It\nminimizes overall system costs, including fixed and variable costs of various\ngeneration, flexibility and sector coupling options. Here we introduce DIETERpy\nthat builds on the existing model version, written in the General Algebraic\nModeling System (GAMS), and enhances it with a Python framework. This combines\nthe flexibility of Python regarding pre- and post-processing of data with a\nstraightforward algebraic formulation in GAMS and the use of efficient solvers.\nDIETERpy also offers a browser-based graphical user interface. The new\nframework is designed to be easily accessible as it enables users to run the\nmodel, alter its configuration, and define numerous scenarios without a deeper\nknowledge of GAMS. Code, data, and manuals are available in public repositories\nunder permissive licenses for transparency and reproducibility.\n