
This material has been produced under the Climate Compatible Growth (CCG)programme, which brings together leading research organizations and is led outof the STEER centre, Loughborough University. CCG is funded by UK aid fromthe UK government. However, the views expressed herein do not necessarilyreflect the UK government's official policies. This work was developed with theEnergy Transition Council (ETC), which assisted in identifying needed researchareas and connected to relevant stakeholders for a discussion on essentialaspects of research. The license for the dataset is Creative Commons Attribution 4.0International.
Techno-economic data and assumptions for long-term energy systems modelling in Botswana. This includes data on electricity generation and consumption, electricity imports and exports, fuel prices, emissions, refineries, power transmission and distribution, electricity generation technologies, and renewable energy potential and reserves for the years 2015 to 2050.
Botswana, Energy Policy, Cost-optimisation, Renewable Energy, OSeMOSYS, Energy Modelling
Botswana, Energy Policy, Cost-optimisation, Renewable Energy, OSeMOSYS, Energy Modelling
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
