Dear open modellers,
There seems to be a bonanza of global energy-related open projects at
The Global Electrification Platform, led by the World Bank and ESMAP:
"Explore least cost electrification strategies around the world,
interacting with country contextual data and different investment scenarios.
"The Global Electrification Platform (GEP) is an open access,
interactive, online platform that allows for overview of electrification
investment scenarios for a selection of countries. The scenarios present
pathways for achieving universal electricity access, split into an
intermediate strategy for 2025 and full electrification by 2030.
"Users can explore 216 different scenarios to meet the access goals.
These different combinations and parameters are presented in the form of
"levers". Users can overlay additional layers as well (e.g. wind
potential, electricity networks, location of health facilities) to help
illustrate useful contextual information about a selected country.
"The current set of results in the GEP were created using the Open
Source Spatial Electrification Tool (gep-onsset). In the interests of
transparency and collaboration, the modelling process has been opened
for feedback and improvements from other institutions, experts and
practitioners. Based on this process, the GEP will be updated annually
with improved data and processes, as well as new models."
There is an associated open data publication:
Predictive mapping of the global power system using open data
C.Arderne 1*, C. Zorn 2,3, C. Nicolas1 & E. E. Koks 2,4
"Limited data on global power infrastructure makes it difficult to
respond to challenges in electricity access and climate change. Although
high-voltage data on transmission networks are often available, medium-
and low-voltage data are often non-existent or unavailable. This
presents a challenge for practitioners working on the electricity access
agenda, power sector resilience or climate change adaptation. Using
state-of-the-art algorithms in geospatial data analysis, we create a
first composite map of the global power system with an open license. We
find that 97% of the global population lives within 10 km of a MV line,
but with large variations between regions and income levels. We show an
accuracy of 75% across our validation set of 14 countries, and we
demonstrate the value of these data at both a national and regional
level. The results from this study pave the way for improved efforts in
electricity modelling and planning and are an important step in tackling
the Sustainable Development Goals."
Hat tip: Johannes Hampp.
Karlsruhe Institute of Technology (KIT)
Institute for Automation and Applied Informatics (IAI)
Tom Brown (he/him)
Research Group Leader, Energy System Modelling
Phone: +49 721 608 25737
Fax: +49 721 608 22602
Group website: https://www.iai.kit.edu/english/ESM.php
Personal website: https://nworbmot.org/
Campus North Building 445