Comparison of Least-Cost Pathways towards Universal Electricity Access in Somalia over Different Timelines

Andreas Sahlberg (), Babak Khavari, Ismail Mohamed and Francesco Fuso Nerini
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Andreas Sahlberg: Division of Energy Systems, Department of Energy Technology, KTH Royal Institute of Technology, 10044 Stockholm, Sweden
Babak Khavari: Division of Energy Systems, Department of Energy Technology, KTH Royal Institute of Technology, 10044 Stockholm, Sweden
Ismail Mohamed: Project Implementation Unit, Ministry of Energy and Water Resources, Mogadishu, Somalia
Francesco Fuso Nerini: Division of Energy Systems, Department of Energy Technology, KTH Royal Institute of Technology, 10044 Stockholm, Sweden

Energies, 2023, vol. 16, issue 18, 1-20

Abstract: Access to electricity is a prerequisite for development, included in both the Agenda for Sustainable Development and the African Union’s Agenda 2063. Still, universal access to electricity is elusive to large parts of the global population. In Somalia, approximately one-third of the population has access to electricity. The country is unique among non-island countries as it has no centralized grid network. This paper applies a geospatial electrification model to examine paths towards universal access to electricity in Somalia under different timelines and with regard to different levels of myopia in the modeling process. This extends the previous scientific literature on geospatial electrification modeling by studying the effect of myopia for the first time and simultaneously presenting the first geospatial electrification analysis focused on Somalia. Using the Open Source Spatial Electrification Tool (OnSSET), the least-cost electrification options towards 2030 and 2040, respectively, are compared. We find that under the shorter timeline, a deployment of mini-grids and stand-alone PV technologies alone provides the least-cost option under all but one scenario. However, under the longer timeline, the construction of a national transmission backbone would lower overall costs if there is high demand growth and/or low cost of centralized grid electricity generation. We also compare different levels of myopia in the modeling process. Here, OnSSET is first run directly until 2040, then in five-year time-steps and annual time-steps. We find that running the model directly until 2040 leads to the lowest costs overall. Running the model myopically leads to a sub-optimal, more costly technology mix, with a lock-in effect towards stand-alone systems. On the other hand, the myopic approach does provide additional insights into the development of the system over time. We find that longer-term planning favors the centralized grid network, whereas short-sighted myopic planning can lead to higher costs in the long term and a technology mix with a higher share of stand-alone PV.

Keywords: energy access; SDG7; geospatial electrification; myopic models; OnSSET (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
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