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define_turbine

Source: R/define_inputs.R
define_turbine.Rd

Make a list of turbine parameters for input into the default CRM.

Usage

define_turbine(
  model_id,
  blade_length,
  blade_thickness_narrow,
  blade_thickness_wide,
  d_base,
  d_rotormin,
  d_top,
  hh,
  max_chord,
  min_chord,
  max_nac_h,
  max_nac_l,
  max_width_nacelle,
  rotor_diam = NULL,
  rpm,
  tilt_deg,
  prop_operational = 1
)

Arguments

model_id

character; Label for turbine model

blade_length

blade length (m)

blade_thickness_narrow

the thickness of the blade (side on) at its thinnest point (m)

blade_thickness_wide

the thickness of the blade (side on) at its widest point (m)

d_base

diameter of tower at base (m)

d_rotormin

diameter of tower at base of rotor (m)

d_top

diameter of tower at top (m)

hh

hub height (m)

max_chord

the chord of the blade at its widest point (m)

min_chord

the chord of the blade at its tip (thinnest point) (m)

max_nac_h

max nacelle height (side view) (m)

max_nac_l

max nacelle length (side view) (m)

max_width_nacelle

diam of nosecone == nacelle room width (back view) (m)

rotor_diam

if unspecified, defaults to 2*blade_length + max_width_nacelle (m)

rpm

rotational speed of turbine (rpm)

tilt_deg

Blade tilt in degrees

prop_operational

numeric; Proportion of a 24 hour day that turbines are operational. A single number or distribution information using set_random. Default 1

Value

list whose items define the value or stochastic distribution for each parameter

Details

Makes a list of parameters for the a given turbine.

Details

Each input to this function must be either

  • an object of the class randInput. See set_random for more information on setting up stochastic inputs.

  • a single number representing the average (preferably median) of the variable

If this object is being defined for multiple turbines of the same model prop_operational should be the average between all turbines. For example if there are two turbines, and one is operational for 24 hours while the other is operational for 18 hours each day, then prop_operational = (0.75 + 1)/2 = 0.875.

Examples


lst_turbine <- define_turbine(
  model_id = "Vesta V90",
  blade_length = 44 ,
  blade_thickness_narrow = 0.07,
  blade_thickness_wide = 2.6,
  d_base = 4.15,
  d_rotormin = 3.55,
  d_top = 2.55,
  hh = 65,
  max_chord = 3.51,
  min_chord = 0.39,
  max_nac_h = 4.05,
  max_nac_l = 13.25,
  max_width_nacelle = 3.6,
  rpm = 16.1,
  rotor_diam = NULL,
  tilt_deg = 6,
  prop_operational = set_random("runif", min = 0.96, max = 0.99)
)