Fossil energy resources - IFs

Note: The documentation of IFs is 'under review' and is not yet 'published'!

Model Documentation - IFs
Model scope and methods - IFs Model concept, solver and details - IFs Temporal dimension - IFs Spatial dimension - IFs Policy - IFs Socio-economic drivers - IFs Population - IFs Economic activity - IFs Macro-economy - IFs Energy - IFs Energy resource endowments - IFs Fossil energy resources - IFs Uranium and other fissile resources - IFs Bioenergy - IFs Non-biomass renewables - IFs Energy conversion - IFs Electricity - IFs Heat - IFs Gaseous fuels - IFs Liquid fuels - IFs Solid fuels - IFs Grid, pipelines and other infrastructure - IFs Energy end-use - IFs Transport - IFs Residential and commercial sectors - IFs Industrial sector - IFs Other end-use - IFs Energy demand - IFs Technological change in energy - IFs Land-use - IFs Agriculture - IFs Emissions - IFs GHGs - IFs Pollutants and non-GHG forcing agents - IFs Carbon dioxide removal (CDR) options - IFs Climate - IFs Non-climate sustainability dimension - IFs Water - IFs References - IFs
Corresponding documentation
AIM-Hub BLUES C3IAM COFFEE-TEA DNE21+ GCAM GRACE IFs IMACLIM IMAGE MESSAGE-GLOBIOM POLES PROMETHEUS REMIND-MAgPIE
Previous versions
Archive of IFs version 7.36
Model information
Model link	https://pardee.du.edu/access-ifs
Institution	Frederick S. Pardee Center for International Futures, University of Denver (Pardee Center), Colorado, USA, https://pardee.du.edu/.
Solution concept
Solution method	Dynamic recursive with annual time steps through 2100.
Anticipation	Myopic

For fossils fuels and hydro, there are upper bounds on production. For fossil fuels, these are based on reserve production ratios, as well as user-specified upper bounds. For hydro, the upper bound relates to hydropower potential. The model user can also control production using an energy demand multiplier to directly modify energy production by energy type.