2021
DOI: 10.3390/en14041209
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Influence of Electrification Pathways in the Electricity Sector of Ethiopia—Policy Implications Linking Spatial Electrification Analysis and Medium to Long-Term Energy Planning

Abstract: Ethiopia is a low-income country, with low electricity access (45%) and an inefficient power transmission network. The government aims to achieve universal access and become an electricity exporter in the region by 2025. This study provides an invaluable perspective on different aspects of Ethiopia’s energy transition, focusing on achieving universal access and covering the country’s electricity needs during 2015–2065. We co-developed and investigated three scenarios to examine the policy and technology levels… Show more

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Cited by 33 publications
(36 citation statements)
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“…There were four scenarios developed and examined in this project, which are New Policy, Slowdown, Big Business, and High Ambition, capturing different levels of electrification, capital costs in power generation technologies, discount rates, levels of exported electricity, and the implementation year of future power plants. These are mainly driven by differences in future electricity demand, achieving universal access in different years, electricity consumption per capita, availability of future power generation projects, discount rates, and technology cost changes over time [7,28].…”
Section: Methodsmentioning
confidence: 99%
“…There were four scenarios developed and examined in this project, which are New Policy, Slowdown, Big Business, and High Ambition, capturing different levels of electrification, capital costs in power generation technologies, discount rates, levels of exported electricity, and the implementation year of future power plants. These are mainly driven by differences in future electricity demand, achieving universal access in different years, electricity consumption per capita, availability of future power generation projects, discount rates, and technology cost changes over time [7,28].…”
Section: Methodsmentioning
confidence: 99%
“…By linking the two tools, OSeMOSYS and GEP, the electri cation mix between grid (in terms of share), mini-grid and off-grid technology-speci c which supplies the residential electricity demands in the current un-electri ed population de ned in GEP is fed into the OSeMOSYS model to identify the leastcost electri cation mix (grid components) [20], [25], [51].…”
Section: Geospatial Electri Cation Outlook (Gep)mentioning
confidence: 99%
“…They can also measure the socioeconomics (e.g., job creation) of different energy transition pathways [21], [22]. Lastly, considering the spatial dimension of energy access (location and size of un-electri ed population, geophysical parameters and technology costs) can improve the medium-to-long-term assessments of least-cost power system expansion in an energy model [23]- [25].…”
Section: Introductionmentioning
confidence: 99%
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“…Ethiopia is a low-income country, with low electricity access and an inefficient power transmission network. Electricity access has increased by only 30% over the past 25 years and it reached 45% in 2018 [1]. ere are over 350,000 registered customers who have been waiting for a connection for the past many years, of which about 50,000 have already paid the full-connection fee [2].…”
Section: Introductionmentioning
confidence: 99%