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Electricity demand for rural areas - based on real demand

This dataset includes an estimation of the demand for electricity from households onto a geographic grid at 1km x 1km of spatial resolution.

Dataset mainly focus on the demand for electricity of rural residential and commercial, according to the WAPP 2013 (Miketa, A. and Merven, B., 2013) subdivision. Assuming that, in rural areas the electricity demand can be considered closely related to the number of inhabitants. The principal dis-aggregation algorithm, that estimates the electricity demand for each cell (x,y) of the geographic grid is based on:

Electricity demand(x,y) = electricity demand(capita) * number people(x,y)

where Electricity demand(x,y) corresponds to the demand for the cell at the x,y position, the electricity demand per capita is calculated at national level according to IRENA 2013 data, and the number of people (x,y) corresponds to the people living in the cell at the x,y position.

Data are expressed as electricity demand in KWh per year per cell for the year 2015

Simple

Date (Publication)
2016-07-03T00:00:00
Originator
  GRID-Geneva - De Bono Andrea.
Maintenance and update frequency
Not planned
Theme
  • green energy
  • resources
  • inhabitants
  • rural
  • village
  • consumption
Access constraints
License
Other constraints

This dataset is under license Creative Commons.

GRID-Geneva does not guarantee the quality and reliability of this dataset and GRID-Geneva assume no responsibility whatsoever for any direct or indirect damage and loss caused by use of this dataset.

Spatial representation type
Grid
Denominator
1000000
Metadata language
English
Topic category
  • Society
Begin date
2014-12-30
End date
2014-12-30
N
S
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W
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Reference system identifier
WGS 84 (EPSG:4326)
Distribution format
  • OGC:OWS-C ( )

OnLine resource
ecreee:rurr_kwh ( OGC:WMS )

rurr_kwh

OnLine resource
rurr_kwh ( OGC:WMS )

rurr_kwh

Conformance result

Date (Publication)
File identifier
547eecb0-aa6c-4239-beda-72f68e732b49 XML
Character set
UTF8
Hierarchy level
Service
Date stamp
2018-03-22T18:33:22
Point of contact
  ECREEE - Daniel Paco
 
 

Overviews

overview
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Spatial extent

N
S
E
W
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Keywords

consumption green energy inhabitants resources rural village

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Associated resources

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