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