cost module

class ezclimate.cost.Cost

Bases: object

Abstract Cost class for the EZ-Climate model.

cost()

price()

class ezclimate.cost.DLWCost(tree, emit_at_0, g, a, join_price, max_price, tech_const, tech_scale, cons_at_0)

Bases: ezclimate.cost.Cost

Class to evaluate the cost curve for the EZ-Climate model.

Parameters:

• tree (TreeModel object) – tree structure used
• emit_at_0 (float) – initial GHG emission level
• g (float) – intital scale of the cost function
• a (float) – curvature of the cost function
• join_price (float) – price at which the cost curve is extended
• max_price (float) – price at which carbon dioxide can be removed from atmosphere in unlimited scale
• tech_const (float) –

  determines the degree of exogenous technological improvement over time. A number

  of 1.0 implies 1 percent per yer lower cost

• tech_scale (float) – determines the sensitivity of technological change to previous mitigation
• cons_at_0 (float) – intital consumption. Default $30460bn based on US 2010 values.

tree

TreeModel object – tree structure used

g

float – intital scale of the cost function

a

float – curvature of the cost function

max_price

float – price at which carbon dioxide can be removed from atmosphere in unlimited scale

tech_const

float –

determines the degree of exogenous technological improvement over time. A number

of 1.0 implies 1 percent per yer lower cost

tech_scale

float – determines the sensitivity of technological change to previous mitigation

cons_at_0

float – intital consumption. Default $30460bn based on US 2010 values.

cbs_level

float – constant

cbs_deriv

float – constant

cbs_b

float – constant

cbs_k

float – constant

cons_per_ton

float – constant

cost(period, mitigation, ave_mitigation)

Calculates the mitigation cost for the period. For details about the cost function see DLW-paper.

Parameters:

• period (int) – period in tree for which mitigation cost is calculated
• mitigation (ndarray) – current mitigation values for period
• ave_mitigation (ndarray) – average mitigation up to this period for all nodes in the period

Returns:

cost

Return type:

ndarray

price(years, mitigation, ave_mitigation)

Inverse of the cost function. Gives emissions price for any given degree of mitigation, average_mitigation, and horizon.

Parameters:

• years (int y) – years of technological change so far
• mitigation (float) – mitigation value in node
• ave_mitigation (float) – average mitigation up to this period

Returns:

the price.

Return type:

float