Transport.ftt_tr_main module

Transport.ftt_tr_main module#

ftt_tr_main.py#

Passenger road transport FTT module.

This is the main file for FTT: Transport, which models technological diffusion of passenger vehicle types due to simulated consumer decision making. Consumers compare the log of the levelised costs, which leads to changes in the market shares of different technologies.

The outputs of this module include sales, fuel use, and emissions.

Local library imports:

Support functions:

  • divide

    Element-wise divide which replaces divide-by-zeros with zeros

Functions included:
  • solve

    Main solution function for the module

  • get_lcot

    Calculate levelised cost of transport

  • get_sales

    Calculate new sales/additions in FTT-Transport

Transport.ftt_tr_main.solve(data, time_lag, titles, histend, year, domain)#

Main solution function for the module.

Add an extended description in the future.

Parameters:

  • data (dictionary of NumPy arrays) – Model variables for the given year of solution

  • time_lag (dict) – Model variables in previous year

  • titles (dictionary of lists) – Dictionary containing all title classification

  • histend (dict of integers) – Final year of historical data by variable

  • year (int) – Current year

  • domain (dictionary of lists) – Pairs variables to domains

Returns:

data – Model variables for the given year of solution

Return type:

dictionary of NumPy arrays

Notes

This function should be broken up into more elements in development.