Getting on the ground: Exploring the determinants of utility-scale solar PV in Rwanda

Abstract

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Geospatial multi-criteria analysis for identifying optimum wind and solar sites in Africa: Towards effective power sector decarbonization

“…In 2018, renewable energy generation capacity in Africa stood at about 50 GW, primarily derived from hydropower (35 GW), wind (5.5 GW), solar PV (4.5 GW) and geothermal (0.7 GW) [3]. However, as stated by Rodriguez-Manotas et al [6], several East African countries which are heavily reliant on hydro for electricity generation, are shifting towards other renewable energy sources due to the depletion of water resources and successive droughts. The IRENA [7] reported global weighted average cost reductions of 69% in the electricity generation of utility-scale solar PV plants and 18% for onshore wind electricity generation between 2010 and 2016.…”

The mismatch between the in-country determinants of technology transfer, and the scope of technology transfer initiatives under the United Nations Framework Convention on Climate Change

“…On the supply side, especially for the large-scale infrastructure cluster, it is private investors who are driving the transition in low-income countries (Nygaard et al, 2017). As such, donors now play a predominantly supporting role in many lowincome countries, to kick-start and de-risk projects that otherwise operate on commercial grounds (Rodríguez-Manotas et al, 2018). This movement -from projects to markets -creates new challenges and opportunities for governments, and their development partners, to optimise the enabling framework for low-carbon energy technologies.…”

Key technology development needs and applicability analysis of renewable energy hybrid technologies in off-grid areas for the Rwanda power sector

“…Moreover, the statistically analysed data from questionnaires showed that 43.6% of all households incurred FRW 500 and 21.0% incurred FRW 1000, monthly electricity bills, respectively (Rwanda Francs (FRW)). [3,52]. Additionally, the percentage of households having home appliances like television sets, radios, electric irons, and refrigerators were 39.6%, 91.1%, 14.9%, and 4.0% respectively.…”