care4cmodel (version 1.0.3)

fuel_and_co2_evaluation: Overarching Evaluation of Fuel Consumption and CO2 Emissions

Description

Given the output of a simulation run generated with simulate_single_concept, i.e. an object of class c4c_base_result, a set of information related to CO2 emissions and storage is generated on different levels of aggregation.

Usage

fuel_and_co2_evaluation(
  x,
  road_density_m_ha,
  raw_density_kg_m3 = 520,
  harvest_loss = 0.1,
  bark_share = 0.12,
  mode = c("standard", "nordic")
)

Value

An object of class c4c_co2_result which is, in essence, a list of three result data frames (and metadata about the underlying simulation), providing information about co2 emissions, storage, and fuel consumption on different levels of aggregation.

Arguments

x

An object of class c4c_base_result

road_density_m_ha

The forest road density on the whole area in m/ha

raw_density_kg_m3

The raw wood density (kg/m³) to be used for wood volume conversions (i.e. density of air-dry wood (12% water content)). Default is 520 kg/m³ (typical for Scots pine). Internally, wood volume is converted into CO2 equivalents with wood_to_co2.

harvest_loss

Relative loss fraction of wood volume during harvest, mainly comprising the stumps (default = 0.1). Does not include bark losses.

bark_share

Relative wood volume share of the bark. Required, as the CO2 equivalents of harvested wood are calculated for wood volume under bark.

mode

Character string indicating the mode of calculating fuel consumption due to harvest operations. This relates to the functions co2_eval_cutting and co2_eval_moving, see the documentation of these functions for details.

Examples

  # Make a simulation run first
  # The resulting object base_output (class c4c_base_result) comprises
  # the simulated phase area dynamics as well as extended growth and yield
  # information
  base_output <- simulate_single_concept(
    pine_thinning_from_above_1,
    init_areas = c(1000, 0, 0, 0, 0, 0),
    time_span  = 200,
    risk_level = 3
  )

  # Generate fuel and CO2 related information
  fuel_and_co2_evaluation(
    base_output,
    road_density_m_ha = 35,
    mode = "nordic"
  )