In the context of estimating the electricity demand of rural areas a set of archetypes of end users is proposed, in order to serve as input for off-grid energy planning models. The archetypes are proposed for residential users, schools and health centers and the set of archetypes is designed based on variation of latitude, climate zone and relative wealth of the user, with an applicability over the entire Sub-Saharan Africa (SSA). The nature of the archetypes is designed so that they can be integrated with both Energy System Optimization Models and Geospatial Electrification models. In the context of this work, they are applied to three case studies of off-grid system sizing in Nigeria, Kenya and Mozambique to highlight the flexibility of t...
The achievement of the United Nations Millennium Development goals is strongly connected with access...
About 630 million people in Sub-Saharan Africa do not have access to electricity and 75% of them dwe...
In this paper a rural electrification peak load demand forecast model was developed based on the rea...
Reaching universal access to electricity by 2030 requires a massive deployment of mini-grids in rura...
Rural electrification projects are mostly listed as a priority in developing countries due to the nu...
In this paper, we describe the development, implementation and application of a novel mathematical p...
After apartheid ended, South Africa instituted a national electrification programme that connected t...
Nowadays, energy supply of rural populations is one of the most important challenges in African deve...
This paper provides a missing integrated guide to budding middle class rural sub-Saharan Africa (SSA...
CITATION: Prinsloo, G. J., Dobson, R. & Brent, A. 2016. Scoping exercise to determine load profile a...
The international community is committed to supporting Africa to address its energy challenges but t...
With the vast rural population, the availability of locational renewable energy resources and limite...
This thesis explores spatially specific data and methods to design community-tailored electricity ac...
AbstractReliable access to electricity still remains a challenge in many regions of Nigeria. For ach...
The lack of access to electricity is a major problem especially for rural areas populations of devel...
The achievement of the United Nations Millennium Development goals is strongly connected with access...
About 630 million people in Sub-Saharan Africa do not have access to electricity and 75% of them dwe...
In this paper a rural electrification peak load demand forecast model was developed based on the rea...
Reaching universal access to electricity by 2030 requires a massive deployment of mini-grids in rura...
Rural electrification projects are mostly listed as a priority in developing countries due to the nu...
In this paper, we describe the development, implementation and application of a novel mathematical p...
After apartheid ended, South Africa instituted a national electrification programme that connected t...
Nowadays, energy supply of rural populations is one of the most important challenges in African deve...
This paper provides a missing integrated guide to budding middle class rural sub-Saharan Africa (SSA...
CITATION: Prinsloo, G. J., Dobson, R. & Brent, A. 2016. Scoping exercise to determine load profile a...
The international community is committed to supporting Africa to address its energy challenges but t...
With the vast rural population, the availability of locational renewable energy resources and limite...
This thesis explores spatially specific data and methods to design community-tailored electricity ac...
AbstractReliable access to electricity still remains a challenge in many regions of Nigeria. For ach...
The lack of access to electricity is a major problem especially for rural areas populations of devel...
The achievement of the United Nations Millennium Development goals is strongly connected with access...
About 630 million people in Sub-Saharan Africa do not have access to electricity and 75% of them dwe...
In this paper a rural electrification peak load demand forecast model was developed based on the rea...