Brinkerink Maarten, Sherman Gordon, Osei-Owusu Simone, Mohanty Reema, Majid Aman, Barnes Trevor, Niet Taco, Shivakumar Abhishek, Mayfield Erin
Dartmouth College, Thayer School of Engineering, Hanover, NH, USA.
University College London, Bartlett School of Environment, Energy & Resources, London, UK.
Data Brief. 2024 Apr 15;54:110420. doi: 10.1016/j.dib.2024.110420. eCollection 2024 Jun.
Energy system modelling can be used to provide scenario-based insights in energy system transition pathways. However, data accessibility is a common barrier for the model representation of energy systems, both regarding existing infrastructure, as well as planned developments consistent with current policies. This paper describes the 'Global Transmission Database', the first global dataset covering existing and planned electricity transmission developments between countries and selected regions. The dataset can be used as a starting point for the representation of cross-regional electricity grids globally in energy system models and other computational tools. All data is collected from publicly available sources and combined into a single machine-readable format for convenient application.
能源系统建模可用于提供基于情景的能源系统转型路径见解。然而，数据可获取性是能源系统模型表示的一个常见障碍，无论是关于现有基础设施，还是与当前政策一致的规划发展。本文介绍了“全球输电数据库”，这是首个涵盖国家和选定地区之间现有及规划电力传输发展情况的全球数据集。该数据集可作为在能源系统模型和其他计算工具中全球跨区域电网表示的起点。所有数据均从公开可用来源收集，并合并为单一机器可读格式以便于应用。
