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Alexandros Korkovelos; Babak Khavari; Andreas Sahlberg; Mark Howells; Christopher Arderne; Dimitrios Mentis. Erratum: Korkovelos, A., et al. The Role of Open Access Data in Geospatial Electrification Planning and the Achievement of SDG7. An OnSSET-Based Case Study for Malawi. Energies 2019, 12(7), 1395. Energies 2020, 13, 5044 .
AMA StyleAlexandros Korkovelos, Babak Khavari, Andreas Sahlberg, Mark Howells, Christopher Arderne, Dimitrios Mentis. Erratum: Korkovelos, A., et al. The Role of Open Access Data in Geospatial Electrification Planning and the Achievement of SDG7. An OnSSET-Based Case Study for Malawi. Energies 2019, 12(7), 1395. Energies. 2020; 13 (19):5044.
Chicago/Turabian StyleAlexandros Korkovelos; Babak Khavari; Andreas Sahlberg; Mark Howells; Christopher Arderne; Dimitrios Mentis. 2020. "Erratum: Korkovelos, A., et al. The Role of Open Access Data in Geospatial Electrification Planning and the Achievement of SDG7. An OnSSET-Based Case Study for Malawi. Energies 2019, 12(7), 1395." Energies 13, no. 19: 5044.
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.
C. Arderne; C. Zorn; C. Nicolas; E. E. Koks. Predictive mapping of the global power system using open data. Scientific Data 2020, 7, 1 -12.
AMA StyleC. Arderne, C. Zorn, C. Nicolas, E. E. Koks. Predictive mapping of the global power system using open data. Scientific Data. 2020; 7 (1):1-12.
Chicago/Turabian StyleC. Arderne; C. Zorn; C. Nicolas; E. E. Koks. 2020. "Predictive mapping of the global power system using open data." Scientific Data 7, no. 1: 1-12.
Achieving universal access to electricity is a development challenge many countries are currently battling with. The advancement of information technology has, among others, vastly improved the availability of geographic data and information. That, in turn, has had a considerable impact on tracking progress as well as better informing decision making in the field of electrification. This paper provides an overview of open access geospatial data and GIS based electrification models aiming to support SDG7, while discussing their role in answering difficult policy questions. Upon those, an updated version of the Open Source Spatial Electrification Toolkit (OnSSET-2018) is introduced and tested against the case study of Malawi. At a cost of $1.83 billion the baseline scenario indicates that off-grid PV is the least cost electrification option for 67.4% Malawians, while grid extension can connect about 32.6% of population in 2030. Sensitivity analysis however, indicates that the electricity demand projection determines significantly both the least cost technology mix and the investment required, with the latter ranging between $1.65–7.78 billion.
Alexandros Korkovelos; Babak Khavari; Andreas Sahlberg; Mark Howells; Christopher Arderne. The Role of Open Access Data in Geospatial Electrification Planning and the Achievement of SDG7. An OnSSET-Based Case Study for Malawi. Energies 2019, 12, 1395 .
AMA StyleAlexandros Korkovelos, Babak Khavari, Andreas Sahlberg, Mark Howells, Christopher Arderne. The Role of Open Access Data in Geospatial Electrification Planning and the Achievement of SDG7. An OnSSET-Based Case Study for Malawi. Energies. 2019; 12 (7):1395.
Chicago/Turabian StyleAlexandros Korkovelos; Babak Khavari; Andreas Sahlberg; Mark Howells; Christopher Arderne. 2019. "The Role of Open Access Data in Geospatial Electrification Planning and the Achievement of SDG7. An OnSSET-Based Case Study for Malawi." Energies 12, no. 7: 1395.
Sub-Saharan Africa has been at the epicenter of an ongoing global dialogue around the issue of energy poverty. More than half of the world’s population without access to modern energy services lives there. It also happens to be a sub-continent with plentiful renewable energy resource potential. Hydropower is one of them, and to a large extent it remains untapped. This study focuses on the technical assessment of small-scale hydropower (0.01–10 MW) in Sub-Saharan Africa. The underlying methodology was based on open source geospatial datasets, whose combination allowed a consistent evaluation of 712,615 km of river network spanning over 44 countries. Environmental, topological, and social constraints were included in the form of constraints in the optimization algorithm. The results are presented on a country and power pool basis.
Alexandros Korkovelos; Dimitrios Mentis; Shahid Hussain Siyal; Christopher Arderne; Holger Rogner; Morgan Bazilian; Mark Howells; Hylke Beck; Ad De Roo. A Geospatial Assessment of Small-Scale Hydropower Potential in Sub-Saharan Africa. Energies 2018, 11, 3100 .
AMA StyleAlexandros Korkovelos, Dimitrios Mentis, Shahid Hussain Siyal, Christopher Arderne, Holger Rogner, Morgan Bazilian, Mark Howells, Hylke Beck, Ad De Roo. A Geospatial Assessment of Small-Scale Hydropower Potential in Sub-Saharan Africa. Energies. 2018; 11 (11):3100.
Chicago/Turabian StyleAlexandros Korkovelos; Dimitrios Mentis; Shahid Hussain Siyal; Christopher Arderne; Holger Rogner; Morgan Bazilian; Mark Howells; Hylke Beck; Ad De Roo. 2018. "A Geospatial Assessment of Small-Scale Hydropower Potential in Sub-Saharan Africa." Energies 11, no. 11: 3100.