Fabien Habyarimana

• Habyarimana, Fabien & Beyer, Hans-Georg (2014). Investigating the Applicability of Photovoltaic Solar Energy Technologies in Rural and Urban Electrification in Rwanda, Proceedings 29th European Photovoltaic Solar Energy Conference and Exhibition. WIP Renewable Energies. ISSN 3-936338-34-5. s. 3801–3804. doi: 10.4229/EUPVSEC20142014-6AV.5.24.
• Beyer, Hans-Georg & Habyarimana, Fabien (2014). Comparison of Meteorological Operation Conditions Governing the Performance of Grid Connected PV-Plants in Tropical and Moderate Climate, Proceedings 29th European Photovoltaic Solar Energy Conference and Exhibition. WIP Renewable Energies. ISSN 3-936338-34-5. s. 2600–2603. doi: 10.4229/EUPVSEC20142014-5BV.1.8.

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• Beyer, Hans-Georg & Habyarimana, Fabien (2016). Detailed information on irradiance characteristics in Central Africa (Rwanda) from a dedicated network of ground stations for characterizing statistics of the irradiance field and validation of satellite derived data . Vis sammendrag

  In Rwanda as in most of the countries in central Africa in-situ empirical data on solar irradiance are sparse. This presents an obstacle for an increased application of solar energy to the coverage of the (increasing) energy needs of the country. These needs are given by both, the wish to increase the share of PV to bulk electricity and the application of PV for off-grid rural electrification. Required for a proper planning of both on- and off-grid applications are information beyond the knowledge of annual or monthly irradiance sums. For the layout of the off-grid systems the respective knowledge of the temporal variability is essential for e.g. the sizing of batteries. For on-grid systems the time and space characteristics of the irradiance field effect the interaction of PV-power plants with the conventional generation park. In Rwanda a new dedicated network of meteorological stations, that are logging the irradiance with a 5min time resolution has been set up to close this gap. For a more comprehensive approach the data from this network can be used to calibrate the satellite derived irradiance data for the continuous coverage of this region. This paper gives a short view on the use of the data for these two fields of application.

• Beyer, Hans-Georg & Habyarimana, Fabien (2016). Detailed Irradiance Statistics for the Design of PV-Systems from a Set of Ground Stations in Central Africa (Rwanda). Vis sammendrag

  n Rwanda the capital region around Kigali city and the districts as Gasabo, Nyarugenge and Kacyiru show a good coverage by the nationwide grid whereas, in contrast more rural districts show much lower rates. For both, an increased share of PV to bulk electricity and off-grid rural electrification projects are initialized, and are in need of information on the irradiance characteristics in the country. Using data from a dedicated network of meteorological stations, that are logging the irradiance with a 15min time resolution, statistics of solar irradiance relevant for the design of both types of PV-systems are extracted and compared to the respective information for sites in Europe.

• Habyarimana, Fabien & Beyer, Hans-Georg (2015). Assessment of the quality of satellite derived irradiance data for Rwanda by comparison with data from a fleet of automated ground stations.
• Habyarimana, Fabien & Beyer, Hans-Georg (2015). Validating the Model for a 250 kW Size Grid Connected PV-System in Rwanda Based on Sparse Operational Data.
• Beyer, Hans-Georg & Habyarimana, Fabien (2015). Using Information From a Fleet of Automated Weather Stations for the Analysis of the Statistics of Solar Irradiance Relevant for the Design of Solar Energy Systems in Rwanda. Vis sammendrag

  The Rwanda Environment Management authority (REMA) has installed around 25 automat Weather stations in Rwanda (surface area of Rwanda ~25000 km2). Solar irradiance data are available since end 2014 with a time resolution of 5min. After passing through a quality check, a first analysis of this data base is done by the check the applicability of standard models of both, their probability distribution and autocorrelation characteristics performed for temporal resolutions of 1 day, 1h and 5min. As sizing of solar energy systems with storage is sensitive to both the distribution and autocorrelation characteristics, consequences on system design will be discussed. Concerning the spatial statistics, the station to station cross correlation is analysed and compared to typical respective characteristics from moderate (e.g. European conditions).

• Beyer, Hans-Georg & Habyarimana, Fabien (2013). Solar energy resource assessment based on satellite information, 1st KIST-UiA Science Innovation and Technology Workshop.
• Habyarimana, Fabien & Beyer, Hans-Georg (2013). Estimation of global solar radiation on titled surfaces in Rwanda based on data from the Meteosat satellite.

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