An indicative analysis of investment opportunities in the African electricity supply sector — Using TEMBA (The Electricity Model Base for Africa)

Taliotis, Constantinos; Shivakumar, Abhishek; Ramos, Eunice; Howells, Mark; Mentis, Dimitris; Sridharan, Vignesh; Broad, Oliver; Mofor, Linus

doi:10.1016/j.esd.2015.12.001

Cited by 116 publications

(67 citation statements)

References 9 publications

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“…These might be far from robust. Changes in population movement, technology change, transmission expansion plans, national and regional power pool development (as recently indicated [43]) may deeply affect costs and the 'optimal' technology choice. However, given the open nature of the experiment, answering these-and other-shortcomings might be a step closer than before.…”

Section: Discussionmentioning

confidence: 99%

“…However, the methodology is modular permitting data to be easily replaced or the method improved. Key parameters include: population density, local grid connection conditions and proximity, energy resource endowment and locally differentiated technology costs, national grid electricity cost obtained from The Electricity Model Base for Africa [43].…”

Section: Gis and Energy Planningmentioning

confidence: 99%

“…Included are the capital costs for transmission and distribution infrastructure as well as for all off-grid systems (stand-alone and mini grid technologies). The investment costs for the grid generated electricity are obtained by The Electricity Model Base for Africa [43] based on the electricity generation mix of each country. A summary of the investment needs and the access split is shown in figure 7 and presented in detail in the appendix.…”

Section: Investment Needsmentioning

confidence: 99%

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Section: Discussionmentioning

confidence: 99%

Section: Gis and Energy Planningmentioning

confidence: 99%

Section: Investment Needsmentioning

confidence: 99%

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Lighting the World: the first application of an open source, spatial electrification tool (OnSSET) on Sub-Saharan Africa

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“…Because energy infrastructure outlast any electoral or administrative cycle, such transparent information is critical for stakeholders including the public, that is, taxpayers and voters, and support organisations, like development banks. To this end, the analysis uses the Open Source Energy MOdelling SYStem (OSeMOSYS) which is an open source energy model generator that uses linear optimization techniques, and has global application (Fattori et al 2016, Löffler et al 2017, Niet et al 2017, Pfenninger et al 2018, Taliotis et al 2016, UN DESA 2016. It determines the cost-optimal long-term investment and operation required to satisfy an exogenously defined energy demand (Howells et al 2011).…”

Section: Model Descriptionmentioning

confidence: 99%

Determinants of energy futures—a scenario discovery method applied to cost and carbon emission futures for South American electricity infrastructure

Moksnes

Rozenberg

Broad

et al. 2019

Environ. Res. Commun.

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Energy policy and investment are commonly informed by a small number of scenarios, modelled with proprietary models and closed data-sets. It limits what levels of insight that can be derived from it. This paper overcomes these critical concerns by exploring a large number of scenarios with an open-data and open-source model to address regional mitigation policy. Focusing on South America, we translate an ensemble of long-term electricity supply scenarios into policy insights and use postprocessing methods to present a systematic mapping of solution outputs to model inputs. We find demand levels, the cost of capital and the level of CO 2 -limits to be significant determinants of total investment cost. Low-carbon pathways are associated with low demand and low cost of capital. When cost of capital increases a shift away from wind and hydropower to natural gas and solar PV is seen. We further show that appropriate concessionary finance together with energy efficiency measures are critical-at a continental level-to unlock economic, low-carbon investment.

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“…Typically, the potential of renewable power generation is dealt with in detail. Various methodology and models are applied for the assessment of RE potential in power generation, for example to fulfill a policy objective at a global, country or region level (e.g., [13][14][15]). Studies, which assess enduse sectors, focus usually on the transport sector, and less on heating (e.g., [16-19]).…”

Section: Introductionmentioning

confidence: 99%

The Implications for Renewable Energy Innovation of Doubling the Share of Renewables in the Global Energy Mix between 2010 and 2030

Saygin¹,

Kempener²,

Wagner³

et al. 2015

Energies

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Benefits of increasing the renewable energy (RE) share in the total energy mix include better energy security, carbon dioxide emission reductions and improved human health. This paper identifies the potential of RE technologies and role of innovation to double the global RE share from 18% to 36% between 2010 and 2030. As a first step, a Reference Case is developed based on national energy plans of 26 countries which increases the RE share to 21% by 2030. Next, the realizable potential of RE technologies is estimated beyond the Reference Case at country and sector levels. By aggregating country potentials, this paper reveals that the global RE share can double to 36% by 2030. Despite differences in starting points and resource potentials, there is a role for each country in achieving a doubling. For many countries their Reference Cases result in low RE shares and many countries are just beginning to explore ways to increase RE use. The paper identifies action areas where innovation can increase technology development and improve cost-effectiveness, thereby accelerating global RE deployment. More research is required to specify these action areas for individual countries and specific technologies, as well as to identify policy needs to address them.

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An indicative analysis of investment opportunities in the African electricity supply sector — Using TEMBA (The Electricity Model Base for Africa)

Cited by 116 publications

References 9 publications

Lighting the World: the first application of an open source, spatial electrification tool (OnSSET) on Sub-Saharan Africa

Lighting the World: the first application of an open source, spatial electrification tool (OnSSET) on Sub-Saharan Africa

Determinants of energy futures—a scenario discovery method applied to cost and carbon emission futures for South American electricity infrastructure

The Implications for Renewable Energy Innovation of Doubling the Share of Renewables in the Global Energy Mix between 2010 and 2030

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