DIETERpy：一个Python框架，用于内生可再生能源的调度和投资评估工具
DIETERpy: a Python framework for The Dispatch and Investment Evaluation Tool with Endogenous Renewables
摘要：
DIETER是一个开源的电力部门模型，旨在分析未来可变可再生能源的比例非常高的情况。它最大限度地降低了系统的总成本，包括各种发电、灵活性和部门耦合选项的固定和可变成本。在这里，我们介绍了DIETERpy，它建立在现有的模型版本上，在通用代数建模系统（GAMS）中编写，并使用Python框架对其进行了增强。这将Python在数据预处理和后处理方面的灵活性与GAMS中简单的代数公式和高效求解器的使用相结合。DIETERpy还提供了一个基于浏览器的图形用户界面。新框架的设计易于访问，因为它使用户能够运行模型，更改其配置，并定义许多场景，而无需深入了解GAMS。代码、数据和手册可以在公共存储库中获得，并在许可证下获得透明度和可重复性。
英文摘要：
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, flexibility 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 post-processing of data with a straightforward algebraic formulation in GAMS and the use of efficient solvers. DIETERpy also offers a browser-based graphical user interface. The new framework is designed to be easily accessible as it enables users to run the model, alter its configuration, and define numerous scenarios without a deeper knowledge of GAMS. Code, data, and manuals are available in public repositories under permissive licenses for transparency and reproducibility.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
