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| | {{Model | | {{Model |
| | |Full_Model_Name=OpeN Source Spatial Electrification Toolkit | | |Full_Model_Name=OpeN Source Spatial Electrification Toolkit |
| − | |Acronym=ONSSET | + | |Acronym=OnSSET |
| | |author_institution=KTH Royal Institute of Technology | | |author_institution=KTH Royal Institute of Technology |
| | |authors=Dimitrios Mentis, Francesco Fuso Nerini, Oliver Broad, Manuel Welsch, Alexandros Korkovelos, Christopher Arderne, Holger Rogner, Mark Howells | | |authors=Dimitrios Mentis, Francesco Fuso Nerini, Oliver Broad, Manuel Welsch, Alexandros Korkovelos, Christopher Arderne, Holger Rogner, Mark Howells |
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| | |logo=ONSSET LOGO.png | | |logo=ONSSET LOGO.png |
| | |text_description=ONSSET has been designed for identifying least-cost technology options to electrify areas presently unserved by grid-based electricity and to estimate associated investment needs related to electrification. ONSSET uses energy-related data and information on a geographical basis such as settlement sizes and locations, distances from existing and planned transmission network, power plants, economic activity, local renewable energy flows,road network, nighttime light etc. | | |text_description=ONSSET has been designed for identifying least-cost technology options to electrify areas presently unserved by grid-based electricity and to estimate associated investment needs related to electrification. ONSSET uses energy-related data and information on a geographical basis such as settlement sizes and locations, distances from existing and planned transmission network, power plants, economic activity, local renewable energy flows,road network, nighttime light etc. |
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| | |Primary outputs=Optimal Electrification Mix, Investment Needs | | |Primary outputs=Optimal Electrification Mix, Investment Needs |
| | |Source of funding=SIDA, UNDESA, IEA, ABB, World Bank | | |Source of funding=SIDA, UNDESA, IEA, ABB, World Bank |
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| | |Storage (Heat)=No | | |Storage (Heat)=No |
| | |georegions=Sub-Saharan Africa, developing Asia, Latin America | | |georegions=Sub-Saharan Africa, developing Asia, Latin America |
| − | |georesolution=1 km to 10 km | + | |georesolution=1 km to 10 km |
| | |timeresolution=Multi year | | |timeresolution=Multi year |
| | |math_modeltype=Optimization | | |math_modeltype=Optimization |
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| | |is_suited_for_many_scenarios=No | | |is_suited_for_many_scenarios=No |
| | |montecarlo=No | | |montecarlo=No |
| − | |citation_references=Mentis, D., Welsch, M., Fuso Nerini, F., Broad, O., Howells, M., Bazil-ian, M., Rogner, H., 2015. A GIS-based approach for electrification planning—A case study on Nigeria. Elsevier Energy for Sustainable Development. 29, 142–150. | + | |citation_references=Mentis, Dimitrios; Welsch, Manuel; Fuso Nerini, Francesco; Broad, Oliver; Howells, Mark; Bazilian, Morgan; Rogner, Holger (December 2015). "A GIS-based approach for electrification planning: a case study on Nigeria". Energy for Sustainable Development. 29: 142–150. doi:10.1016/j.esd.2015.09.007. ISSN 0973-0826. |
| − | |citation_doi=Mentis, D., Welsch, M., Fuso Nerini, F., Broad, O., Howells, M., Bazil-ian, M., Rogner, H., 2015. A GIS-based approach for electrification planning—A case study on Nigeria. Elsevier Energy for Sustainable Development. 29, 142–150.
| + | |citation_doi=10.1016/j.esd.2015.09.007 |
| | |report_references=IEA World Energy Outlook 2014 | | |report_references=IEA World Energy Outlook 2014 |
| | IEA World Energy Outlook 2015 | | IEA World Energy Outlook 2015 |
Mentis, Dimitrios; Welsch, Manuel; Fuso Nerini, Francesco; Broad, Oliver; Howells, Mark; Bazilian, Morgan; Rogner, Holger (December 2015). "A GIS-based approach for electrification planning: a case study on Nigeria". Energy for Sustainable Development. 29: 142–150. doi:10.1016/j.esd.2015.09.007. ISSN 0973-0826.
https://dx.doi.org/10.1016/j.esd.2015.09.007
IEA World Energy Outlook 2014
IEA World Energy Outlook 2015
IEA and World Bank Global Tracking Framework 2015
