https://wiki.openmod-initiative.org/api.php?action=feedcontributions&feedformat=atom&user=Andreas+Sahlberg 2026-05-28T03:39:19Z User contributions MediaWiki 1.19.7 https://wiki.openmod-initiative.org/wiki/OnSSET 2025-10-02T17:53:56Z

<p>Andreas Sahlberg: </p> <hr /> <div>{{Model<br /> |Full_Model_Name=Open Source Spatial Electrification Tool<br /> |Acronym=OnSSET<br /> |author_institution=KTH Royal Institute of Technology<br /> |authors=Andreas Sahlberg, Alexandros Korkovelos, Dimitrios Mentis, Babak Khavari, Mark Howells, Holger Rogner, Christopher Arderne, Oliver Broad, Manuel Welsch, Francesco Fuso Nerini, Julian Cantor<br /> |contact_persons=Andreas Sahlberg<br /> |website=https://www.linkedin.com/company/onsset-open-source-spatial-electrification-tool<br /> |source_download=https://github.com/onsset<br /> |logo=Onsset logo 3.png<br /> |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.<br /> |Primary outputs=Optimal Electrification Mix, Investment Needs<br /> |User documentation=https://onsset.readthedocs.io/en/latest/<br /> |Source of funding=SIDA, UNDESA, UNDP, IEA, ABB, World Bank, GEAPP, SEforALL<br /> |open_source_licensed=Yes<br /> |license=MIT license (MIT)<br /> |model_source_public=Yes<br /> |Link to source=https://github.com/OnSSET/onsset<br /> |open_future=No<br /> |modelling_software=Python<br /> |processing_software=Python<br /> |GUI=No<br /> |sectors=Electricity, <br /> |technologies=Renewables, Conventional Generation<br /> |Demand sectors=Households<br /> |Energy carriers (Renewable)=Hydro, Sun, Wind<br /> |Transfer (Electricity)=Distribution, Transmission<br /> |Storage (Gas)=No<br /> |Storage (Heat)=No<br /> |georegions=Sub-Saharan Africa, developing Asia, Latin America<br /> |georesolution=Settlement level<br /> |timeresolution=Multi year<br /> |network_coverage=transmission, distribution<br /> |Observation period=More than one year<br /> |Additional dimensions (Ecological)=Greenhouse gas emissions<br /> |math_modeltype=Optimization<br /> |math_modeltype_shortdesc=Technologies selected based on lowest Levelized Cost of Electricity (LCOE) for each settlement<br /> |math_objective=Cost minimization<br /> |is_suited_for_many_scenarios=Yes<br /> |montecarlo=No<br /> |citation_references=Mentis, Dimitrios; Welsch, Manuel; Fuso Nerini, Francesco; Broad, Oliver; Howells, Mark; Bazilian, Morgan; Rogner, Holger (December 2015). &quot;A GIS-based approach for electrification planning: a case study on Nigeria&quot;. Energy for Sustainable Development. 29: 142–150. doi:10.1016/j.esd.2015.09.007. ISSN 0973-0826.<br /> |citation_doi=10.1016/j.esd.2015.09.007<br /> |report_references=IEA World Energy Outlook 2014, 2015, 2019, 2021, 2022, IEA and World Bank Global Tracking Framework 2015<br /> |Model input file format=No<br /> |Model file format=No<br /> |Model output file format=No<br /> }}</div>

Andreas Sahlberg