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Low and Mid-Income Grid-Connected Solar PV Approaches: Presentation

Presents the background case study assessments, socio-economic profiling, and financial cost-benefit analyses undertaken as part of the feasibility study regarding Small Scale Embedded Generation (SSEG) rollout in the mid- and low-income household sector in South Africa. Note: more detailed slides and a spreadsheet model used to perform the financial feasibility analyses are available on request. (Funded by GIZ, undertaken by Urban Econ, Sustainable Energy Africa, and Sustainability Institute Innovation Lab, 2018).

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Energy Poverty and Gender in Urban South Africa

This report presents an update on the current state of energy poverty in South African cities and a follow-up to the report ‘Tackling Urban Energy Poverty in South Africa’ published in 2014. It aims to develop suitable gender-sensitive energy solutions for urban municipalities. Part A addresses factors influencing energy poverty and Part B reviews the impact of pro-poor energy policies. (Sustainable Energy Africa, 2017)

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Alternative Household Energy Technologies: An Overview

This booklet briefly examines alternative energy technologies and associated energy sources available in the market that are cleaner, appropriate, applicable and sustainable relative to those that are currently available and used by informal households for their domestic energy requirements. (Sustainable Energy Africa, 2016)

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Polokwane Green Goal Energy Strategy Update and Implementation Plan 2016

The intention of the strategy is to provide a sound statistical basis from which to design a strategy that talks to the municipality’s commitment, as expressed in its mission statement, to innovation and sustainable development (including carbon emissions reduction and economic development) and its energy vision of reliable, safe and affordable energy services for all (SEA, 2016).

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Energy Scenarios for Urban South Africa: Exploring the implications of alternative energy futures up to 2050

Energy and emissions future scenarios were modelled for urban South Africa, based on energy data from 27 of the most highly urbanised municipalities in the country. The scenario modelling highlighted the largest emissions sources and energy-consuming sectors, and identified the mitigation measures that would have the most impact with regards to reducing energy consumption and emissions production. (SEA, 2016)

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