Strategic low-cost energy investment opportunities and challenges towards achieving universal access (SDG7) in each African nation

This dataset underpins the study "Strategic low-cost energy investment opportunities and challenges towards achieving universal access (SDG7) in each African nation". The study provides insights into energy supply and demand, power generation, investments and total system costs, SD7 indicators, job creation as well as carbon dioxide emissions for each African nation (48 in total). An energy systems model enhanced with geospatial data was developed to evaluate energy supply requirements to cover the energy needs of the African continent during the period 2015-2030 and achieve universal access by 2030. The model was developed using the open-source modeling system for long-term energy planning OSeMOSYS and the geospatial electrification outlook (GEP). The objective function is to minimise the total energy system costs. The TEMBA model produces aggregate energy, and detailed power system results in each country in the African continent. The power sector results are also reported with power pool aggregation. The OSeMOSYS model and input data used to produce these results can be found at JoPapp/jrc_temba: TEMBA SDG7 (Version v1.1) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.5810601 (Authors: Ioannis Pappis. (2021)).本数据集支撑了题为《面向实现非洲各国全民能源获取（可持续发展目标7，SDG7）的战略性低成本能源投资机遇与挑战》的研究。该研究针对全部48个非洲国家，剖析了能源供需、电力生产、投资与系统总成本、SDG7相关指标、就业创造以及二氧化碳排放等多维度的发展情况。研究团队构建了融合地理空间数据的能源系统模型，用于评估2015-2030年期间非洲大陆的能源供应需求，以满足大陆能源需求并实现2030年全民能源获取的目标。该模型基于开源长期能源规划建模系统OSeMOSYS与地理空间电气化展望（GEP）开发而成，其目标函数为最小化能源系统总运行成本。TEMBA模型可输出非洲大陆各国的聚合能源数据与精细化电力系统分析结果，电力部门的分析结果还支持以电力联营体为单元进行聚合展示。本研究所用的OSeMOSYS模型与输入数据可访问以下链接获取：JoPapp/jrc_temba: TEMBA SDG7（版本v1.1）[数据集]. Zenodo. https://doi.org/10.5281/zenodo.5810601（作者：Ioannis Pappis，2021年）