An S4 class to represent inter-regional trade

Details

Trade objects are used to represent inter-regional exchange in the model. Without trade, every region is isolated and can only use its own resources. The class defines trade routes, efficiency, costs, and other parameters related to the process. Number of routes per trade object is not limited. One trade object can have a part or entire trade network of the model. However, it has a distinct name and all the routs will be optimized together. Create separate trade objects to optimize different parts of the trade network (aka transmission lines).

Slots

name

character. Name of the trade object, used in sets.

desc

character. Description of the trade object.

commodity

character. The traded commodity short name.

routes

data.frame. Source and destination regions. For bivariate trade define both directions in separate rows.

from: character. Source region.
to: character. Destination region.

trade

data.frame. Technical parameters of trade.

region: character. Region name to apply the parameter, NA for every region.
year: integer. Year to apply the parameter, NA for every year.
slice: character. Time slice to apply the parameter, NA for every slice.
trade: numeric. Trade volume.

aux

data.frame. Auxiliary commodity of trade.

acomm: character. Name of the auxiliary commodity (used in sets).
unit: character. Unit of the auxiliary commodity.

aeff

data.frame. Auxiliary commodity efficiency parameters.

acomm: character. Name of the auxiliary commodity (used in sets).
region: character. Region name to apply the parameter, NA for every region.
year: integer. Year to apply the parameter, NA for every year.
slice: character. Time slice to apply the parameter, NA for every slice.
trade2ainp: numeric. Trade-to-auxiliary-input-commodity coefficient (multiplier).
trade2aout: numeric. Trade-to-auxiliary-output-commodity coefficient (multiplier).

invcost

data.frame. Investment cost, used when capacityVariable is TRUE.

region: character. Region name to apply the parameter, NA for every region.
year: integer. Year to apply the parameter, NA for every year.
invcost: numeric. Investment cost.

fixom

data.frame. (not implemented!) Fixed operation and maintenance costs.

varom

data.frame. (not implemented!) Variable operation and maintenance costs.

olife

numeric. Operational life of the trade object.

start

data.frame. Start year when the trade-type of process is available for investment.

region: character. Regions where the trade-type of process is available for investment.
start: integer. The first year when the trade-type of process is available for investment.

end

data.frame. End year when the trade-type of process is available for investment.

region: character. Region name to apply the parameter, NA for every region.
end: integer. The last year when the trade-type of process is available for investment.

capacity

data.frame. (not implemented!) Capacity parameters of the trade object.

capacityVariable

logical. If TRUE, the capacity variable of the trade object is optimized. If FALSE, the capacity is defined by availability parameters (ava.*) in the trade-flow units.

cap2act

numeric. Capacity to activity ratio.

optimizeRetirement

logical. Incidates if the retirement of the trade object should be optimized. Also requires the same parameter in the model or scenario class to be set to TRUE to be effective.

misc

list. Additional information.