Reiner Lemoine Institut
L o a d i n g
The RLI is an independent non-profit research institution that performs scientific research on the subject of renewable energy. The objective is to make a scientific contribution to the transformation of the energy system towards 100% RE. The main fields of research are “optimised energy systems”, which investigate future scenarios with high penetration of RE, “sustainable mobility” considering the integration of RE in mobility concepts and potentials and economics of “off-grid systems” in remote areas and islands. Core competencies of the RLI are energy system models and simulations that consider renewable resource data to calculate potential power generation in hybrid systems, mini-grids and regional to global grid areas.
Available DatasetsShowing 3 of 3 results
- The data include results of the electrification modeling for the five Nigerian Federal States Cross River, Niger, Ogun, Plateau and Sokoto. Non-electrified village clusters were identified and a load was estimated. Small clusters with a low demand (demand <50kW) were assigend stand-alone solutions, while for the cluster with a larger demand techno-economically optimized hybrid mini-grids were contrasted to grid extension. Grid extension considers topography and existing infrastructure such as roads to identify a realistic grid extension pathway. Results included in the data set show identified clusters and electrification option created for a three-phased rural electrification approach towards 100% electrification and the respective grid development. This work partly results from the authors’ collaboration with the Nigerian Energy Support Programme (NESP) implemented by the Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ) GmbH in collaboration with Federal Ministry of Power, Nigeria and funded by the German Government and the European Union. The authors gratefully acknowledge the support from GIZ-NESP and Nigerian FMP. Any conclusions or recommendations expressed in this article do not necessarily reflect the views of GIZ-NESP or FMPWH.1Licence not specifiedabout 1 year ago
- The data set provides information on the renewable energy share of area-wide mini-grid (PV-battery-diesel) optimizations minimizing LCOE in all countries with a rural electrification rate below 90%. The values are renewable energy in percent of the total energy production. Full information on the creation of the data set can be found here: https://doi.org/10.1016/j.esd.2015.12.0071Licence not specifiedabout 1 year ago
- The overall objective of this project is to prioritize locations for off-grid rural electrification in Tanzania. New datasets will be developed that will enable faster and more accurate market analysis for distributed energy services companies (DESCOs) operating in Tanzania, including household locations and indicators on ability to pay, potential for productive uses of electricity and up-to-date data on national electricity grid transmission and distribution line locations. Collectively, it is expected that these datasets will help DESCOs operating in, or seeking to enter, Tanzania to narrow down geographic areas that could be interesting markets for their off-grid energy services. This objective will be achieved by a combination of remote sensing, GIS analyses and other data collection. These activities are complemented by stakeholder workshops and local capacity development. The data for the analysis was downloaded form the following sources: High Resolution Settlement Layer: (https://www.ciesin.columbia.edu/data/hrsl) NBS GIS Open Data Portal for Region, District, Ward and Village shapefiles: (http://portal-nbs-tz.opendata.arcgis.com/datasets/) Global Horizontal Irradiance raster dataset: (http://globalsolaratlas.info/downloads/tanzania) Global Solar Atlas. NBS GIS Open Data Portal: Number of healthsites and water sources dataset: (http://portal-nbs-tz.opendata.arcgis.com/datasets/) The processing steps for preparing the data for the prioritization are described with details and examples in [this section]().1Licence not specifiedalmost 2 years ago
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