Model Configuration

This model has various configurations that the user can set using the function:

julia> config = ModelConfig()

Input

This function guides the user through creating a mutable struct with the model configurations. The outputs for this function should be stored in a variable, e.g. config = ModelConfig().

• RunTransition: Binary Input, i.e.(1, 0)

  • When set to 1, the model will run a 20 year transition from 2020-2040 as wind and solar are incorporated into the global energy grid.
  • The model automatically runs the transition with a subsidy included in the prices for the US.

• RunBatteries: Binary Input, i.e. (1, 0)

  • When set to 1, the model will run the 20 year transition with the hours of storage for batteries set by the user in hoursvec.
  • RunBatteries = 1 and hoursvec must both be set.
  • By default hoursvec = [2, 4, 6]

• RunExog: Binary Input, i.e. (1, 0)

  • When set to 1, the model assumes that technology is exogenous.
  • Calculations for the steady state equilibrium and the transition assume that technology does not change.
  • Specifically, the exogenous values impact the guesses for renewable capital prices in both the long run and the transition, setting the guesses on projections for wind / solar respectively.

• RunCurtailment: Binary Input, i.e. (1, 0)

  • When set to 1, there is no subsidy during transition and battery hours of storage is assumed to be 12.
  • This problem demonstrates the effects of renewable intermittency (inconsitency in energy production) without optimized storage hours.

• Transiter: Integer Input, i.e. 100

  • Controls the number of iterations the transition model will run.
  • To create data for the paper, the transition model runs for 100 iterations, i.e. Transiter = 100.
  • To check that the code is working Transiter = 2.

• Initialprod: Integer Input, i.e. 100

  • Initial level of renewables cost of production.
  • To create data for the paper, Initialprod = 100.

• hoursofstorage: Integer Input, i.e. 4

  • Hours of battery storage for renewable energy.
  • This value is always set by the model. User input will be overwritten.
  • Use hoursvec to set battery hours of prices when RunBatteries==1.

• hoursvec: List Input, i.e. 2,4,6

  • The hoursvec is a vector of battery storage hours used as inputs for the model.
  • This will output results for the change in battery prices over the transition given that the number of hours of battery storage.
  • It is useful for comparing different hours of storage.
  • This variable is only relevant when RunBatteries==1.

Examples

Default Configuration

julia> config = ModelConfig()
Enter RunTransition (0 or 1, default = 1):

Enter RunBatteries (0 or 1, default=0):

Enter RunExog (0 or 1, default=0):

Enter RunCurtailment (0 or 1, default=0):

Enter the Number of Transition Iterations (recommend 0-100 iterations, default=2):

Enter Initial Production (default = 100):

Enter hoursofstorage (default=0):

Enter hoursvec (comma-separated, default = 2,4,6):

ModelConfig(1, 0, 0, 0, 2, 100, 0, [2, 4, 6])

Run Batteries with Hours 1,3,5

julia> config = ModelConfig()
Enter RunTransition (0 or 1, default = 1):
0
Enter RunBatteries (0 or 1, default=0):
1
Enter RunExog (0 or 1, default=0):
0
Enter RunCurtailment (0 or 1, default=0):
0
Enter the Number of Transition Iterations (recommend 0-100 iterations, default=2):
2
Enter Initial Production (default = 100):
0
Enter hoursofstorage (default=0):
0
Enter hoursvec (comma-separated, default = 2,4,6):
1,3,5
ModelConfig(0, 1, 0, 0, 2, 0, 0, [1, 3, 5])