crm_opt3 {stochLAB}

Number of collisions under model Option 3

Description

Wrapper function to run CRM calculations under option 3, i.e.:

• Using the extended model, which takes into account the distribution of bird flight heights at risk height (above the minimum and below the maximum height of the rotor blade)

• Using generic flight height distribution data

Usage

crm_opt3(
  rotor_grids,
  d_y_gen,
  rotor_radius,
  blade_width,
  rotor_speed,
  blade_pitch,
  flight_type,
  wing_span,
  flight_speed,
  body_lt,
  n_blades,
  prop_upwind,
  avoidance_rate,
  flux_factor,
  mth_prop_oper,
  lac_factor
)

Arguments

rotor_grids

A list object containing geometric attributes of the rotor at equidistant points within its unit circle. This object should be built via the function generate_rotor_grids().

d_y_gen

a vector with the proportion of birds at height bands within the rotor disc, from a generic flight height distribution

rotor_radius

Numeric value. The radius of the rotor (R), in metres.

blade_width

Numeric value, giving the maximum blade width, in metres.

rotor_speed

Numeric value. The operational rotation speed, in revolutions/min.

blade_pitch

Numeric value. The average blade pitch angle, the angle between the blade surface and the rotor plane (\gamma), in radians.

flight_type

A character string, either 'flapping' or 'gliding', indicating the species' characteristic flight type.

wing_span

Numeric value. The wingspan of the bird (W), in metres.

flight_speed

Numeric value. The bird flying speed (v), in metres/sec.

body_lt

Numeric value. The length of the bird (L), in metres.

n_blades

An integer, the number of blades in rotor (b).

prop_upwind

Numeric value between 0-1 giving the proportion of flights upwind - defaults to 0.5.

avoidance_rate

a numeric value within the interval [0, 1]. The avoidance rate, expressing the probability that a bird flying on a collision course with a turbine will take evading action to avoid collision.

flux_factor

a vector containing the flux factor for each month

mth_prop_oper

A numeric vector, the proportion of time during which turbines are operational per month.

lac_factor

A numerical value, the large array correction factor. Defaults to 1, meaning large array correction is not applicable.

Value

A numeric vector, the expected number of collisions per month based on model option 3

Examples

 rotor_grids <- generate_rotor_grids(yinc = 0.05, xinc = 0.05, chord_prof_5MW)

 gen_fhd_dat <- Johnston_Flight_heights_SOSS %>%
      dplyr::filter(variable=="Gannet.est") %>%
      dplyr::select(height,prop)

 gen_fhd <- gen_fhd_dat$prop

 gen_fhd_at_rotor <-
    get_fhd_rotor(
      hub_height = 150,
      fhd = gen_fhd,
      rotor_radius = 120,
      tidal_offset = 2.5,
      yinc = 0.05)


 flux_fct <- get_flux_factor(
      n_turbines = 100,
      rotor_radius = 120,
      flight_speed = 13.1,
      bird_dens = c(1.19,0.85,1.05,1.45,1.41,1.45,1.12,1.45,0.93,0.902,1.06,1.23),
      daynight_hrs = Day_Length(52),
      noct_activity = 0.5
      )

turb_oper <- data.frame(
   month = month.abb,
   prop_oper = runif(12,0.5,0.8)
   )
turb_oper_month <- turb_oper$prop_oper

crm_opt3(
  rotor_grids = rotor_grids,
  d_y_gen = gen_fhd_at_rotor,
  rotor_radius = 120,
  blade_width = 5,
  rotor_speed = 15,
  blade_pitch = 15,
  flight_type = "flapping",
  wing_span = 1.01,
  flight_speed = 13.1,
  body_lt = 0.85,
  n_blades = 3,
  prop_upwind = 0.5,
  avoidance_rate = 0.981,
  flux_factor = flux_fct,
  mth_prop_oper = turb_oper_month,
  lac_factor = 0.9998299
  )