wiki.openmod-initiative.org - User contributions [en]

OnSSET

2017-03-14T15:19:24Z

Dimitris Mentis:

{{Model
|Full_Model_Name=Open Source Spatial Electrification Tool
|Acronym=OnSSET
|author_institution=KTH Royal Institute of Technology
|authors=Dimitrios Mentis, Mark Howells, Holger Rogner, Alexandros Korkovelos, Christopher Arderne, Oliver Broad, Manuel Welsch, Francesco Fuso Nerini
|contact_persons=Dimitrios Mentis
|contact_email=mentis@kth.se
|source_download=https://github.com/KTH-dESA/PyOnSSET
|logo=Onsset logo 3.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.
|Primary outputs=Optimal Electrification Mix, Investment Needs
|Source of funding=SIDA, UNDESA, UNDP, IEA, ABB, World Bank
|open_source_licensed=Yes
|license=MIT license (MIT)
|model_source_public=Yes
|Link to source=https://github.com/KTH-dESA/PyOnSSET
|open_future=No
|modelling_software=Python
|processing_software=Python
|GUI=No
|technologies=Renewables, Conventional Generation
|Demand sectors=Households
|Energy carriers (Renewable)=Hydro, Sun, Wind
|Transfer (Electricity)=Distribution, Transmission
|Storage (Gas)=No
|Storage (Heat)=No
|georegions=Sub-Saharan Africa, developing Asia, Latin America
|georesolution=1 km to 10 km
|timeresolution=Multi year
|math_modeltype=Optimization
|math_objective=Cost minimization
|is_suited_for_many_scenarios=No
|montecarlo=No
|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=10.1016/j.esd.2015.09.007
|report_references=IEA World Energy Outlook 2014, IEA World Energy Outlook 2015, IEA and World Bank Global Tracking Framework 2015
|Model input file format=No
|Model file format=No
|Model output file format=No
}}

ONSSET

2017-03-14T14:19:24Z

Dimitris Mentis: Dimitris Mentis moved page ONSSET to OnSSET

#REDIRECT [[OnSSET]]

OnSSET

2017-03-14T14:19:24Z

Dimitris Mentis: Dimitris Mentis moved page ONSSET to OnSSET

{{Model
|Full_Model_Name=Open Source Spatial Electrification Tool
|Acronym=OnSSET
|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
|contact_persons=Dimitrios Mentis
|contact_email=mentis@kth.se
|source_download=https://github.com/KTH-dESA/PyOnSSET
|logo=Onsset logo 3.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.
|Primary outputs=Optimal Electrification Mix, Investment Needs
|Source of funding=SIDA, UNDESA, UNDP, IEA, ABB, World Bank
|open_source_licensed=Yes
|license=MIT license (MIT)
|model_source_public=Yes
|Link to source=https://github.com/KTH-dESA/PyOnSSET
|open_future=No
|modelling_software=Python
|processing_software=Python
|GUI=No
|technologies=Renewables, Conventional Generation
|Demand sectors=Households
|Energy carriers (Renewable)=Hydro, Sun, Wind
|Transfer (Electricity)=Distribution, Transmission
|Storage (Gas)=No
|Storage (Heat)=No
|georegions=Sub-Saharan Africa, developing Asia, Latin America
|georesolution=1 km to 10 km
|timeresolution=Multi year
|math_modeltype=Optimization
|math_objective=Cost minimization
|is_suited_for_many_scenarios=No
|montecarlo=No
|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=10.1016/j.esd.2015.09.007
|report_references=IEA World Energy Outlook 2014, IEA World Energy Outlook 2015, IEA and World Bank Global Tracking Framework 2015
|Model input file format=No
|Model file format=No
|Model output file format=No
}}

Dimitrios Mentis, Francesco Fuso Nerini, Oliver Broad, Manuel Welsch, Alexandros Korkovelos, Christopher Arderne, Holger Rogner, Mark Howells

2017-03-14T13:40:40Z

Dimitris Mentis: Dimitris Mentis moved page Dimitrios Mentis, Francesco Fuso Nerini, Oliver Broad, Manuel Welsch, Alexandros Korkovelos, Christopher Arderne, Holger Rogner, Mark Howells to [[Dimitrios Mentis, Mark Howells, Holger Rogner, Alexandros Korkovelos, Chri...

#REDIRECT [[Dimitrios Mentis, Mark Howells, Holger Rogner, Alexandros Korkovelos, Christopher Arderne, Oliver Broad, Manuel Welsch]]

OnSSET

2017-03-14T13:36:59Z

Dimitris Mentis:

File:Onsset logo 3.png

2017-03-14T13:35:15Z

Dimitris Mentis:

OnSSET

2016-12-14T13:12:41Z

Dimitris Mentis:

{{Model
|Full_Model_Name=OpeN Source Spatial Electrification Toolkit
|Acronym=ONSSET
|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
|contact_persons=Dimitrios Mentis
|contact_email=mentis@kth.se
|source_download=https://github.com/KTH-dESA/PyOnSSET
|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.

|Primary outputs=Optimal Electrification Mix, Investment Needs
|Source of funding=SIDA, UNDESA, IEA, ABB, World Bank
|open_source_licensed=Yes
|license=MIT license (MIT)
|model_source_public=Yes
|Link to source=https://github.com/KTH-dESA/PyOnSSET
|open_future=No
|modelling_software=Python
|GUI=No
|technologies=Renewables, Conventional Generation
|Demand sectors=Households
|Energy carriers (Renewable)=Hydro, Sun, Wind
|Transfer (Electricity)=Distribution, Transmission
|Storage (Gas)=No
|Storage (Heat)=No
|georegions=Sub-Saharan Africa, developing Asia, Latin America
|georesolution=1 km to 10 km
|timeresolution=Multi year
|math_modeltype=Optimization
|math_objective=Cost minimization
|is_suited_for_many_scenarios=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_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.
|report_references=IEA World Energy Outlook 2014
IEA World Energy Outlook 2015
IEA and World Bank Global Tracking Framework 2015
|Model input file format=No
|Model file format=No
|Model output file format=No
}}

File:ONSSET LOGO.png

2016-12-14T12:36:05Z

Dimitris Mentis: