Selected ‘Starter Kit’ energy system modelling data for Namibia (#CCG) (original) (raw)

2021, Research Square (Research Square)

Energy system modelling can be used to assess the implications of different scenarios and support improved policymaking. However, access to data is often a barrier to energy system modelling, causing delays. Therefore, this article provides data that can be used to create a simple zero order energy system model for Colombia, which can act as a starting point for further model development and scenario analysis. The data are collected entirely from publicly available and accessible sources, including the websites and databases of international organizations, journal articles, and existing modelling studies. This means that the dataset can be easily updated based on the latest available information or more detailed and accurate local data. These data were also used to calibrate a simple energy system model using the Open Source Energy Modelling System (OSeMOSYS) and three stylized scenarios (Fossil Future, Least Cost and Net Zero by 2050) for 2020-2050. The assumptions used and results of these scenarios are presented in the appendix as an illustrative example of what can be done with these data. This simple model can be adapted and further developed by in-country analysts and academics, providing a platform for future work. Speci cations Table Speci cations Table Subject Energy Speci c subject area Energy System Modelling Type of data Tables Graphs Charts Description of modelling assumptions How data were acquired Literature survey (databases and reports from international organisations; journal articles) Data format Raw and Analysed Parameters for data collection Data collected based on inputs required to create an energy system model for Colombia Description of data collection Data were collected from the websites, annual reports and databases of international organisations, as well as from academic articles and existing modelling databases. Data source location Not applicable Data accessibility With the article and in a repository. Repository name: Zenodo. Data identi cation number: v1.0.0. Direct URL to data: https://doi.org/10.5281/zenodo.5498091 [35]. Value Of The Data These data can be used to develop national energy system models to inform national energy investment outlooks and policy plans, as well as provide insights on the evolution of the electricity supply system under different trajectories. The data are useful for country analysts, policy makers and the broader scienti c community, as a zero-order starting point for model development. These data could be used to examine a range of possible energy system pathways, in addition to the examples given in this study, to provide further insights on the evolution of the country's power system. The data can be used both for conducting an analysis of the power system but also for capacity building activities. Also, the methodology of translating the input data into modelling assumptions for a cost-optimization tool is presented here which is useful for developing a zero order Tier 2 national energy model [1]. This is consistent with U4RIA energy planning goals [2].