The thematic issues addressed below are the result of consultation with local authorities and with local or international experts in the field, for which we are warmly grateful.
They are indicators both of the desire for a better understanding of the dynamics of a sector, and of the concern of improving the efficiency of the operation service for the populations. They are not exhaustive, but are potentially issues that could have a strong impact. While some of them appear to be able to be dealt with analysis techniques that are known but have not yet been applied thoroughly in Senegal, others require creativity in cross-referencing with data specific to the sector or in terms of calculation method.
We encourage you to visit the ‘ Partners & resources’ pages where we have indicated the first steps for accessing the numerous data items available. And we also invite you to explore the issues addressed in the other themes. There are certainly connections between some of the issues addressed that are worthy to explore.
As the sustaining force for the operations of the great majority of industrial and public domains, the energy sector is key for the country's development. It is therefore essential to continue to guarantee sustainable and low cost energy supply and distribution for optimum support of the country's development. In this context, the following analyses could shed light on certain opportunities or risks, and supply new data to help with the complex questions of prioritisation of investments.
In particular, but not exhaustively, we are looking for results in the following fields, which may be the result of statistical analyses of mobile network use or measurements of temperature and hours of sunshine taken on certain masts, cross-referenced with external data:
- Optimisation of infrastructure according to socio-economic factors
- identification of volumes and temporalities of rural and urban consumption requirements
- optimisation of location of micro-grids
- Measurement of potential for renewable energy production
- solar and wind power, bio-gas,…
- by region and period
- Measurement of impact of a power cut in a town over a given period
- Measurement of socio-economic activity before-after opening of a new power plant (increase in flow of trade and circulation of goods and people)
between 2012 and 2013, Senegal carried out the electrification of 257 schools and 231 health care facilities by individual solar systems as well as the commissioning of 144 public lighting points.
Also, through the Senegalese-Spanish programme, 17 villages were given access to electricity.
What measurements of socio-economic activities can be observed via the resulting mobile networks?
- between 2012 and 2013, Senegal carried out the electrification of 257 schools and 231 health care facilities by individual solar systems as well as the commissioning of 144 public lighting points.
- Prioritisation of the work of improving network quality
- according to socio-economic factors and quality indicators (to be supplied)
- Measurement of anticipation of load
electricity demand is related to movements between the home and the workplace in big cities.
It is possible to anticipate these movements to limit the risks of power cuts
- electricity demand is related to movements between the home and the workplace in big cities.
- Modelling of temporary boosting requirements (football match, pilgrimages, farming production requirement,…)
- Modelling of the impact of temperature on energy demand, particularly due to demands for air conditioning and refrigerators
- Measurement of environmental impact (CO2 production)
- Analysis of oil price fluctuations and their impact on practices
Assess the impact of black-outs on the behaviour of the populations.
For example, food is no longer sold in optimum conditions if the refrigerators have not been working for a long time.
- Is there a link between electricity and activity in urban healthcare facilities?
- evaluate the hydro energy power potential in function of local rain pattern
The work may concern both analyses allowing better understanding of the dynamics of demand leading to better planning, and tools for modelling or representation of data that could be used for operators or end users.