OptiFlow: A Flexible Network Flow Model for Energy Systems Analysis and Beyond (supporting data)

This Zenodo repository supports the article:"OptiFlow: A Flexible Network Flow Modelling Framework for Energy Systems Analysis and Beyond." It contains the OptiFlow model and data for the two scenarios discussed in the case study. Abstract With a global move towards more renewable energy sources in the energy system and increased sector-coupling, a good spatiotemporal resolution and representation of related transport networks becomes increasingly important. Existing energy system models are, however, often built for specific purposes with limited flexibility for modification. Modelling future energy systems calls for flexible and adaptable tools that can represent the complexity of integrated energy systems. We introduce the OptiFlow framework, which is a bottom-up, open-source optimisation model based on network graphic theory. OptiFlow can represent linear movements of flows across processes and across spatial and temporal dimensions, such as processes for transport or inter-temporal storage or processes with time delay. The framework can represent network topologies, including energy carriers or feedstocks related to the energy system. OptiFlow can be used as stand-alone or it can be soft- or hard-linked to established energy system models such as Balmorel. OptiFlow has been applied to a wide range of use cases, including waste management, biomass utilisation, renewable fuel production, Power-to-X, and cascading hydropower, including interactions with the surrounding energy system. This paper presents an overview of the OptiFlow framework, focusing on network design, spatiotemporal dimensions, and integration with other energy system models. Furthermore, we present a simple case study where OptiFlow is hard-linked with Balmorel to optimise the production of renewable maritime fuels. With OptiFlow, we seek to reduce the future need for purpose-built model development with a flexible framework for modelling any process or set of processes interacting with the energy sectors. Balmorel-OptiFlow For more information, and accesing the latest model development visit the Github of the Balmorel community (https://github.com/balmorelcommunity).本Zenodo仓储配套支持论文《OptiFlow：面向能源系统分析及其他拓展场景的灵活网络流建模框架》。仓储内包含案例研究中讨论的两种场景对应的OptiFlow模型与数据。 摘要 随着全球能源系统向更高比例可再生能源转型以及部门耦合程度不断提升，对相关输运网络实现高精度时空分辨率表征与建模的重要性与日俱增。然而现有能源系统模型往往为特定用途开发，修改灵活性较为有限。面向未来能源系统的建模工作，亟需能够表征综合能源系统复杂性的灵活适配型工具。 本文提出OptiFlow框架，这是一种基于网络图形理论的自下而上开源优化模型。OptiFlow可表征流在各类过程、空间与时间维度上的线性输运，例如输运过程、跨时段储能或带时延的运行过程。该框架能够表征包含能源载体或原料在内的能源系统相关网络拓扑结构。OptiFlow既可独立部署使用，也可通过软连接或硬连接的方式与Balmorel等成熟能源系统模型集成。目前OptiFlow已被应用于诸多场景，包括废物管理、生物质利用、可再生燃料生产、电转X（Power-to-X）以及梯级水电，并可表征与周边能源系统的交互关系。 本文对OptiFlow框架进行了全面概述，重点聚焦网络设计、时空维度特性以及与其他能源系统模型的集成方式。此外，本文还展示了一项简单的案例研究：通过硬连接OptiFlow与Balmorel，优化可再生海事燃料的生产。我们期望借助OptiFlow这一灵活框架，减少未来为各类能源部门交互过程建模所需的专用模型开发工作量。 Balmorel-OptiFlow 如需了解更多信息或获取最新模型开发进展，请访问Balmorel社区的GitHub仓库（https://github.com/balmorelcommunity）。