Property:HasSpecificOption
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This is a property of type Text.
A
Behavioural change +
Energy Conversion - Exogenous Technological Change +
Phase out regulations +
Equivalent Variation +
Mostly high substitutability in some sectors and mostly low substitutability in other sectors +
Services - Yes (Economic) +
Equivalent Variation +
Mostly high substitutability in some sectors and mostly low substitutability in other sectors +
Services - Yes (Economic) +
B
CO2 industrial processes +
Other +
Fuel-cell LDVs +
Hydrokinetic +
C
The COFFEE model is solved through Linear Programming (LP). The TEA model is formulated as a mixed complementary problem (MCP) and is solved through Mathematical Programming System for General Equilibrium -- MPSGE within GAMS using the PATH solver. +
D
Savings rate +
Electricity (Learning Curve) +
E
Solar power PV +
Technological progress indicators are used to mimic learning by doing +
Phase out regulations +
Water heating +
Econometric +
Equivalent Variation +
Hydroelectricity is constrained to current capacity. Bioenergy is constrained by resource limits. Nuclear is forced to be in the system whereas countries have declared they will maintain a certain amount of nuclear. Transmission expansion has limits +
Electric heat sources (e.g. resistance heating, heat pumps) +
Demand profiles (electricity, heat, mobility, industry) differentiated by country/region +
Synthetic fuels (gases and liquids), aggregate +
Hydrogen to gas +
Static +
G
Radiative Forcing (Land Albedo) - Yes (exogenous) +
GCAM solves all energy, water, and land markets simultaneously +
Recursive dynamic solution method +
Radiative Forcing (Land Albedo) - Yes (exogenous) +
Other electrical uses +
GCAM solves all energy, water, and land markets simultaneously +
Recursive dynamic solution method +
Equivalent Variation +
Other: Equipment goods, Non-metalic minnerals, Consumer goods industries +
Other: Total factor productivity, Labour productivity, Capital productivity are all exogenous. Semi-endogenous TFP for clean technologies based on learning by doing and learning by research +
Fuel-cell HDVs +
Electric heat sources (e.g. resistance heating, heat pumps) +
Water heating +
recursive-dynamic (myopic) +
Linear optimisation +
Aggregate transport technologies that correspond to fuel consumption +
Aggregate industry technologies corresponding to boilers/fuels +
Aggregate residential and commercial technologies corresponding to boilers/fuels +
Equivalent Variation +
Nested CES function +
Services (economic) +
Adaptation, climate change impact +
Recursive dynamic solution method +
I
General Equilibirum (open economy) +
Precipitation change +
Dynamic recursive with annual time steps through 2100. +
Equivalent Variation +
Discrete technology choices with mostly high substitutability in some sectors and mostly low substitutability in other sectors +
Construction +
Imaclim-R is implemented in Scilab, and uses the fonction fsolve from a shared C++ library to solve the static equilibrium system of non-linear equations. +
Refined Liquid Fuels +
Equivalent Variation +
Discrete technology choices with mostly high substitutability in some sectors and mostly low substitutability in other sectors +
Construction +
Imaclim-NLU is implemented in Scilab, and uses the fonction fsolve from a shared C++ library to solve the static equilibrium system of non-linear equations. +
Refined Liquid Fuels +
non-fossil +
The economic problem is formulated as a three-level nested problem. The solution of these three sub-problems yield the dynamic capital path (investment/consumption trade-off in each simulation year), and factor and output prices which clear all factor and goods markets. +
M
Water heating +
Systems dynamics based approach +
Backstop CDR technology corresponding to Soil carbon enehancement, enhanced weathering, reforestation/afforestation +
Aggregate transport technologies that correspond to fuel consumption +
Aggregate industry technologies corresponding to boilers/fuels +
Aggregate transport technologies that correspond to fuel consumption +
Aggregate residential and commercial technologies corresponding to boilers/fuels +
Appliance +
Services (physical) +
Behavioural change +
Energy Conversion - Exogenous Technological Change +
Migration +
Refined Liquid Fuels +
P
Services (economic) +
Energy Conversion - Exogenous Technological Change +
Recursive simulation +
Private road passenger (cars, powered 2 wheelers), public road passenger (buses and coaches), road freight (HDVs, LDVs), passenger rail (slow and high-speed trains, metro), freight rail, passenger aviation (split into distance classes), freight and passenger inland navigation and short sea shipping, bunkers. Numerous classes of vehicles and transport means with tracking of technology vintages. +
The PRIMES model comprises several sub-models (modules), each one representing the behaviour of a specific (or representative) agent, a demander and/or a supplier of energy. The sub-models link with each other through a model integration algorithm, which determines equilibrium prices in multiple markets and equilibrium volumes meets balancing and overall (e.g. emission) constraints. +
Mathematically PRIMES solves an EPEC problem (equilibrium problem with equilibrium constraints) which allows prices to be explicitly determined. +
R
Radiative Forcing (Land Albedo) - Yes (exogenous) +
MAgPIE: partial equilibrium model of the agricultural sector +
MAgPIE: cost minimization +
Energy goods +
Phase out regulations +
power to liquids +
Simulation-based optimization +
S
Static +
T
Note: There is the option to make electricity and hydrogen infrastructure spatially explicit +
Other electrical uses +
Linear optimisation +
V
Nested CES function +
Aggregate transport technologies that correspond to fuel consumption +
Aggregate transport technologies that correspond to fuel consumption +
Steady state path (dynamic recursive) plus perturbation around state state (short term dynamics) +
W
Generic agricultural output +
CO2 industrial processes +
implicitly captured in terms of investment and capital expenditure +
inter-temporal (foresight) +
Utility/Welfare +
Discrete technology choices with mostly high substitutability in some sectors and mostly low substitutability in other sectors +
Copper +
Behavioural change +
Renewable energy subsidies +
Systems dynamics based approach +
Simulation-based optimization +