Table 1 The main scenarios modelled in this paper
From: Carbon pricing and system reliability impacts on pathways to universal electricity access in Africa
Scenario | Demand tier | Description | Target year |
---|---|---|---|
Baseline | N/A | Scenario that uses historical trends in improvements in access and projected population growth to estimate the population remaining without access by the target year. | 2020/2035 |
Reference | |||
Ref_central | Tiers 1–4 | Central reference scenario where all unmet population above the baseline gain access via calculated least-cost electrification technology by 2030. | 2030 |
Ref_single_modes | Tiers 3 & 4 | Reference scenarios where all unmet population above the baseline gain access via single access technologies, e.g., all via grid/diesel, etc., for emissions and investment comparisons. | 2030 |
Ref_late | Tiers 2–4 | Central reference scenario where all unmet population above the baseline gain access via calculated least-cost access technology with a later target date. | 2035 |
Reliability | |||
Rel_grid_all | Tiers 2–4 | Reliability scenario where all unmet population above the baseline gain access via calculated least-cost mode with the off-grid technologies sized at the assumed reliability of the rural grid in for each respective country. | 2030 |
Rel_penalty_0.50 | Tiers 2–4 | Reliability scenario where all unmet population above the baseline gain access via calculated least-cost technology with a 0.5 US Dollar /kWh penalty for unmet demand applied across all (see the “Methods” section). | 2030 |
Carbon pricing | |||
Ctax_median | Tiers 2–4 | Carbon price scenario where all unmet population above the baseline gaining access via calculated least-cost technology, with a carbon price scheme representing the median values from the Intergovernmental Governmental Panel of Climate Change Sixth Assessment Report (AR6) database44 (C1 and C2 scenarios) is applied across all technologies (see the “Methods” section). | 2030 |