ALBIO-N (CHALMERS)
Geographical coverage:
global
Sectoral coverage:
land-use
Description:
Detailed physical model of biomass and nitrogen flows in crop and livestock systems. It is used for representing dietary transformations towards non-meat protein sources.
Further information:
Wirsenius et al (2010) How much land is needed for global food production under scenarios of dietary changes and livestock productivity increases in 2030? Agricultural Systems 103:621–638.
COCHIN-TIMES/ MoCho-TIMES (CHALMERS)
Geographical coverage:
US/DK
Sectoral coverage:
transport
Description:
Consumer vehicle/mode choice model for transportation. It is used to improve the realms of IAMs in representing consumer investment decisions in advanced vehicles and selecting alternative modes of transportation including new transportation services.
Further information:
Ramea, et al (2018) Integration of behavioral effects from vehicle choice models into long-term energy systems optimization Energy Economics, 74, 663-676.
Tattini et al (2018) Improving the representation of modal choice into bottom-up optimization energy system models – The MoCho-TIMES model. Applied Energy, 212, 265-282.
PRIMES-International Shipping (E3M)
Geographical coverage:
global
Sectoral coverage:
transport
Description:
Techno-economic model of the global shipping system. It is used to assess the mitigation potential and projections for international shipping and to improve its representation in large-scale IAMs.
Further information:
Capros et al (2017) PRIMES model version 6: Detailed model description,http://www.e3mlab.eu/e3mlab/PRIMES%20Manual/The%20PRIMES%20MODEL%202016-7.pdf
PRIMES-TREMOV (E3M)
Geographical coverage:
EU
Sectoral coverage:
transport
Description:
Techno-economic model of the transport sector. It is used to assess the mitigation potential of aviation and to improve its representation in IAMs.
Further information:
Siskos, et al (2018) Implications of delaying transport decarbonisation in the EU: A systems analysis using the PRIMES model, Energy Policy, Volume 121, Pages 48-60
PRIMES-buildings (E3M)
Geographical coverage:
global
Sectoral coverage:
buildings
Description:
Detailed agent-based buildings model covering residential and services sectors in EU countries. It is used to integrate insights from empirical behavioural analysis (e.g., discount rates by consumer type and income class, hidden and intangible costs by building type, household preferences for deep renovation) and to improve the representation of the building sector in IAMs.
Further information:
Capros et al (2017) PRIMES model version 6: Detailed model description,http://www.e3mlab.eu/e3mlab/PRIMES%20Manual/The%20PRIMES%20MODEL%202016-7.pdf
GloTraM (UCL)
Geographical coverage:
global
Sectoral coverage:
transport
Description:
Techno-economic model of the global marine shipping system. It is used to improve the representation of shipping in IAMs.
Further information:
https://www.ucl.ac.uk/energy-models/models/glotram
AIM (UCL)
Geographical coverage:
global
Sectoral coverage:
transport
Description:
Integrated assessment model of the global air transportation system. It is used to improve the description of aviation in IAMs.
Further information:
Fujimori et al (2017) Global Environmental Change 42, 10.1016/j.gloenvcha.2016.06.009
BRAIN-Energy (UCL)
Geographical coverage:
GER, IT, UK
Sectoral coverage:
electricity
Description:
An agent-based model (incumbents, new entrants, regulators, government) of the electricity system.