SEDOS Model Structure

We have developed an open-source model structure that integrates key future technologies relevant to Germany’s energy transition across electricity, heat, conversion processes, transport, and industry. This comprehensive framework supports a sector-coupled energy system outlook extending to the year 2070. The uploaded "SEDOS_model-structure_data" file outlines the structural foundation of our proposed dataset, which has been successfully implemented for selected processes (see "SEDOS_process-set_models") in three optimization models defined within the different frameworks: oemof, FINE, and TIMES. By “model structure,” we refer to the definition of energy-related processes and their interconnections, represented through input and output vectors. The core contribution of our work lies in an additional dataset parametrizing the model structure, which is publicly accessible via the Open Energy Platform. Together, this enables transparent and reproducible energy system modeling and supports long-term scenario development. For more detailed information, please refer to our paper and documentation.我们开发了一款开源模型架构，整合了德国能源转型在电力、供热、转化工序、交通运输以及工业领域的关键前沿技术。该综合框架支持面向2070年的多部门耦合能源系统展望分析。 本次上传的"SEDOS_model-structure_data"文件阐明了本数据集拟采用的架构基础，该架构已在三个基于不同框架开发的优化模型中针对选定工序完成落地实现（详见"SEDOS_process-set_models"），涉及的框架包括oemof、FINE与TIMES。此处所称的"模型架构"，指的是能源相关工序及其相互关联关系的定义，通过输入向量与输出向量进行表征。 本研究的核心贡献在于配套了一套用于该模型架构参数化的数据集，该数据集可通过开放能源平台（Open Energy Platform）公开获取。二者结合可实现透明且可复现的能源系统建模，并支撑长期情景开发。 如需获取更详细的信息，请参阅我们的学术论文与配套文档。