Note
This page is generated from inline documentation in MESSAGE/parameter_def.gms
.
Parameter definition¶
This file contains the definition of all parameters used in MESSAGEix.
In MESSAGEix, all parameters are understood as yearly values, not as per (multi-year) period.
This provides flexibility when changing the resolution of the model horizon (i.e., the set year
).
General parameters of the MESSAGEix implementation¶
Caution
Parameters written in bold are auxiliary parameters
that are either generated automatically when exporting a message_ix.Scenario
to gdx
or that are computed during the pre-processing stage in GAMS (see the footnotes for more
individual details). These are not meant to be edited through the API when editing scenarios.
Parameter name |
Index dimensions |
Explanatory comments |
---|---|---|
interestrate |
|
Economy-wide interest rate or social discount rate |
duration_time |
|
Duration of sub-annual time slices (relative to 1) 1 |
duration_period (\(|y|\)) 2 |
|
Duration of multi-year period (in number of years) 3 |
duration_period_sum |
|
Number of years between two periods 4 |
duration_time_rel |
|
Relative duration between sub-annual time slices 4 |
df_period |
|
Cumulative discount factor over period duration 4 |
df_year |
|
Discount factor of the last year in the period 4 |
- 1
The element ‘year’ in the set of subannual time slices
time
has the value of 1. This value is assigned by default when creating a newixmp.Scenario
based on theMESSAGE
scheme.- 2
The short-hand notation \(|y|\) is used for the parameters \(duration\_period_y\) in the mathematical model documentation for exponents.
- 3
The values for this parameter are computed automatically when exporting a
MESSAGE
-schemeixmp.Scenario
to gdx. Note that in MESSAGEix, the elements of theyear
set are understood to be the last year in a period, see this footnote.- 4(1,2,3,4)
These parameters are computed during the GAMS execution.
Parameters of the Resources section¶
In MESSAGEix, the volume of resources at the start of the model horizon is defined by resource_volume
. The quantity of the
resources that are extracted per year is dependent on two parameters. The first is bound_extraction_up
, which constraints
the maximum extraction of the resources (by grade) in a year. The second is resource_remaining
, which is the maximum
extraction of the remaining resources in a certain year, as a percentage. Extraction costs for resources are represented by
resource_cost
parameter.
Parameter name |
Index dimensions |
---|---|
resource_volume |
|
resource_cost |
|
resource_remaining |
|
bound_extraction_up |
|
commodity_stock 5 |
|
historical_extraction 6 |
|
- 5
Commodity stock refers to an exogenous (initial) quantity of commodity in stock. This parameter allows (exogenous) additions to the commodity stock over the model horizon, e.g., precipitation that replenishes the water table.
- 6(1,2,3,4,5)
Historical values of new capacity and activity can be used for parametrising the vintage structure of existing capacity and implement dynamic constraints in the first model period.
Parameters of the Demand section¶
Parameter name |
Index dimensions |
---|---|
demand [demand_fixed] 7 |
|
peak_load_factor 8 |
|
- 7
The parameter
demand
in aMESSAGE
-schemeixmp.Scenario
is translated to the parameterdemand_fixed
in the MESSAGEix implementation in GAMS. The variableDEMAND
is introduced as an auxiliary reporting variable; it equalsdemand_fixed
in a MESSAGE-standalone run and reports the final demand including the price response in an iterative MESSAGE-MACRO solution.- 8(1,2)
The parameters
peak_load_factor
(maximum peak load factor for reliability constraint of firm capacity) andreliability_factor
(reliability of a technology (per rating)) are based on the formulation proposed by Sullivan et al., 2013 [6]. It is used in Reliability of installed capacity.
Parameters of the Technology section¶
Input/output mapping, costs and engineering specifications¶
Parameter name |
Index dimensions |
---|---|
input 9 |
|
output 9 |
|
inv_cost 9 |
|
fix_cost 9 |
|
var_cost 9 |
|
levelized_cost 10 |
|
construction_time 11 |
|
technical_lifetime |
|
capacity_factor 9 |
|
operation_factor 9 |
|
min_utilization_factor 9 |
|
rating_bin 12 |
|
reliability_factor 8 |
|
flexibility_factor 13 |
|
renewable_capacity_factor 14 |
|
renewable_potential 14 |
|
emission_factor |
|
- 9(1,2,3,4,5,6,7,8)
Fixed and variable cost parameters and technical specifications are indexed over both the year of construction (vintage) and the year of operation (actual). This allows to represent changing technology characteristics depending on the age of the plant.
- 10
The parameter
levelized_cost
is computed in the GAMS pre-processing under the assumption of full capacity utilization until the end of the technical lifetime.- 11
The construction time only has an effect on the investment costs; in MESSAGEix, each unit of new-built capacity is available instantaneously at the beginning of the model period.
- 12
Maximum share of technology in commodity use per rating. The upper bound of a contribution by any technology to the constraints on system reliability (Reliability of installed capacity) and flexibility (Equation SYSTEM_FLEXIBILITY_CONSTRAINT) can depend on the share of the technology output in the total commodity use at a specific level.
- 13
Contribution of technologies towards operation flexibility constraint. It is used in Equation SYSTEM_FLEXIBILITY_CONSTRAINT.
- 14(1,2)
renewable_capacity_factor
refers to the quality of renewable potential by grade andrenewable_potential
refers to the size of the renewable potential per grade.
Bounds on capacity and activity¶
The following parameters specify upper and lower bounds on new capacity, total installed capacity, and activity. The bounds on activity are implemented as the aggregate over all vintages in a specific period (Equation ACTIVITY_BOUND_UP and Equation ACTIVITY_BOUND_LO).
Parameter name |
Index names |
---|---|
bound_new_capacity_up |
|
bound_new_capacity_lo |
|
bound_total_capacity_up |
|
bound_total_capacity_lo |
|
bound_activity_up |
|
bound_activity_lo |
|
Dynamic constraints on capacity and activity¶
The following parameters specify constraints on the growth of new capacity and activity, i.e., market penetration. The implementation of MESSAGEix includes the functionality for ‘soft’ relaxations of dynamic constraints on new-built capacity and activity (see Keppo and Strubegger, 2010 [3]). For more information, please refer to the equations in section Dynamic constraints on market penetration of the mathematical formulation.
Parameter name |
Index names |
---|---|
initial_new_capacity_up |
|
growth_new_capacity_up 15 |
|
soft_new_capacity_up 15 |
|
initial_new_capacity_lo |
|
growth_new_capacity_lo 15 |
|
soft_new_capacity_lo 15 |
|
initial_activity_up 16 |
|
|
|
soft_activity_up 15 |
|
initial_activity_lo 16 |
|
|
|
soft_activity_lo 15 |
|
Parameters for the add-on technologies¶
The implementation of MESSAGEix includes the functionality to introduce “add-on technologies” that are specifically
linked to parent technologies. This feature can be used to model mitigation options (scrubber, cooling). Upper and
lower bounds of add-on technologies are defined relative to the parent: addon_up
and addon_lo
, respectively.
Note
No default addon_conversion
factor (conversion factor between add-on and parent technology activity) is set.
This is to avoid default conversion factors of 1 being set for technologies with multiple modes, of which only a
single mode should be linked to the add-on technology.
Parameter name |
Index names |
---|---|
addon_conversion |
|
addon_up |
|
addon_lo |
|
Parameters for representing storage solutions¶
The MESSAGEix formulation includes “storage” solutions to model sub-annual, inter-temporal storage of commodities in each period.
This feature can be used to model electricity storage (pumped hydro, batteries, compressed air energy storage, etc.), thermal energy storage,
demand side management, and in general any technology for storing commodities (gas, hydrogen, water, etc.) over sub-annual timesteps.
The user defines the chronological order of sub-annual time steps by assigning a number to them in parameter time_order
.
This order is used by storage equations to shift the stored commodity in a correct timeline, e.g., from Jan through to Dec, and not vice versa.
The last sub-annual timestep is linked to the first one to close the loop of the year. Parameter storage_initial
is to set an initial amount
for the content of storage in any desirable timestep (optionally). This initial value is a cost-free stored media that storage can discharge
in the same or following timesteps. storage_self_discharge
represents the self-discharge (loss) of storage as % of the level of stored media
in each timestep. This allows to model time-related losses in storage separately, in addition to charging and discharging losses.
Parameter name |
Index names |
---|---|
storage_initial |
|
storage_self_discharge |
|
time_order |
|
Cost parameters for ‘soft’ relaxations of dynamic constraints¶
The implementation of MESSAGEix includes the functionality for ‘soft’ relaxations of dynamic constraints on new-built capacity and activity (see Keppo and Strubegger, 2010 [3]). Refer to the section Dynamic constraints on market penetration. Absolute cost and levelized cost multipliers are used for the relaxation of upper and lower bounds.
Parameter name |
Index names |
---|---|
abs_cost_new_capacity_soft_up |
|
abs_cost_new_capacity_soft_lo |
|
level_cost_new_capacity_soft_up |
|
level_cost_new_capacity_soft_lo |
|
abs_cost_activity_soft_up |
|
abs_cost_activity_soft_lo |
|
level_cost_activity_soft_up |
|
level_cost_activity_soft_lo |
|
Historical capacity and activity values¶
Historical data on new capacity and activity levels are included in MESSAGEix for correct accounting of the vintage portfolio and a seamless implementation of dynamic constraints from historical years to model periods.
Parameter name |
Index names |
---|---|
historical_new_capacity 6 |
|
historical_activity 6 |
|
Auxiliary investment cost parameters and multipliers¶
Auxiliary investment cost parameters include the remaining technical lifetime at the end of model horizon (beyond_horizon_lifetime
) in addition to the
different scaling factors and multipliers as listed below. These factors account for remaining capacity (remaining_capacity
) or construction time of new capacity (construction_time_factor
),
the value of investment at the end of model horizon (end_of_horizon_factor
) or the discount factor of remaining lifetime beyond model horizon (beyond_horizon_factor
).
Parameter name |
Index names |
---|---|
construction_time_factor |
|
remaining_capacity |
|
end_of_horizon_factor |
|
beyond_horizon_lifetime |
|
beyond_horizon_factor |
|
Parameters of the Emission section¶
The implementation of MESSAGEix includes a flexible and versatile accounting of emissions across different categories and species, with the option to define upper bounds and taxes on various (aggregates of) emissions and pollutants, (sets of) technologies, and (sets of) years.
Parameter name |
Index dimensions |
---|---|
historical_emission 6 |
|
emission_scaling 17 |
|
bound_emission |
|
tax_emission |
|
- 17
The parameter
emission_scaling
is the scaling factor to harmonize bounds or taxes across types of emissions. It allows to efficiently aggregate different emissions/pollutants and set bounds or taxes on various categories.
Parameters of the Land-Use model emulator section¶
The implementation of MESSAGEix includes a land-use model emulator, which draws on exogenous land-use scenarios (provided by another model) to derive supply of commodities (e.g., biomass) and emissions from agriculture and forestry. The parameters listed below refer to the assigned land scenario.
Parameter name |
Index dimensions |
---|---|
historical_land 6 |
|
land_cost |
|
land_input |
|
land_output |
|
land_use |
|
land_emission |
|
initial_land_scen_up |
|
growth_land_scen_up |
|
initial_land_scen_lo |
|
growth_land_scen_lo |
|
initial_land_up |
|
dynamic_land_up |
|
growth_land_up |
|
initial_land_lo |
|
dynamic_land_lo |
|
growth_land_lo |
|
Parameters of the Relations section¶
Generic linear relations are implemented in MESSAGEix. This feature is intended for development and testing only - all new features should be implemented as specific new mathematical formulations and associated sets & parameters. For the formulation of the relations, refer to Section of generic relations (linear constraints).
Parameter name |
Index dimensions |
---|---|
relation_upper |
|
relation_lower |
|
relation_cost |
|
relation_new_capacity |
|
relation_total_capacity |
|
relation_activity |
|
Fixed variable values¶
The following parameters allow to set variable values to a specific value. The value is usually taken from a solution of another model instance (e.g., scenarios where a shock sets in later to mimic imperfect foresight).
The fixed values do not override any upper or lower bounds that may be defined, so fixing variables to values outside of that range will yield an infeasible model.
Parameter name |
Index dimensions |
---|---|
fixed_extraction |
|
fixed_stock |
|
fixed_new_capacity |
|
fixed_capacity |
|
fixed_activity |
|
fixed_land |
|
Note that the variable \(STOCK\_CHG\) is determined implicitly by the \(STOCK\) variable and therefore does not need to be explicitly fixed.
Auxiliary reporting parameters¶
The following parameters are used for reporting (post-processing) solved models. They assign monetary value to
the net total system costs from trading and emission taxes (total_cost
). Morevoer, they also assign a value
to the total trade of commodities (the difference between the revenues from exports and the costs of imports,
trade_cost
) and to the costs from importing (import_cost
) and the revenues from exporting (export_cost
)
in each node and year.
Parameter name |
Index dimensions |
---|---|
total_cost |
|
trade_cost |
|
import_cost |
|
export_cost |
|