hydesign.wind.wind_hybridization

Classes

wpp_with_degradation	Wind power plant model
existing_wpp	Wind power plant model for an existing layout
existing_wpp_with_degradation	Wind power plant model for an existing layout

Functions

get_wind_ts_degradation(ws, pc, ws_ts, yr, wind_deg, ...)

param ws: wind speed.

Module Contents

class hydesign.wind.wind_hybridization.wpp_with_degradation(N_limit, life_y, N_time, life_h, N_ws=51, wpp_efficiency=0.95, wind_deg=[0, 25 * 1 / 100], share_WT_deg_types=0.5, weeks_per_season_per_year=None)

Bases: openmdao.api.ExplicitComponent

Wind power plant model

Provides the wind power time series using wake affected power curve and the wind speed time series.

Parameters:

• N_time (Number of time-steps in weather simulation)

• life_h (lifetime in hours)

• N_ws (number of points in the power curves)

• wpp_efficiency (WPP efficiency)

• wind_deg_yr (year list for providing WT degradation curve)

• wind_deg (degradation losses at yr)

• share_WT_deg_types (share ratio between two degradation mechanism (0: only shift in power curve, 1: degradation as a loss factor ))

• ws (Power curve wind speed list)

• pcw (Wake affected power curve)

• wst (wind speed time series at the hub height)

Returns:

wind_t_ext_deg

Return type:

power time series with degradation extended through lifetime

N_limit

life_y

N_time

life_h

N_ws = 51

wpp_efficiency = 0.95

wind_deg

share_WT_deg_types = 0.5

weeks_per_season_per_year = None

setup()

Declare inputs and outputs.

Available attributes:

name pathname comm options

compute(inputs, outputs)

Compute outputs given inputs. The model is assumed to be in an unscaled state.

An inherited component may choose to either override this function or to define a compute_primal function.

Parameters:

• inputs (Vector) – Unscaled, dimensional input variables read via inputs[key].

• outputs (Vector) – Unscaled, dimensional output variables read via outputs[key].

• discrete_inputs (dict-like or None) – If not None, dict-like object containing discrete input values.

• discrete_outputs (dict-like or None) – If not None, dict-like object containing discrete output values.

class hydesign.wind.wind_hybridization.existing_wpp(N_time, existing_wpp_power_curve_xr_fn, wpp_efficiency=0.95)

Bases: openmdao.api.ExplicitComponent

Wind power plant model for an existing layout

Provides the wind power time series using wake affected power curve and the wind speed time series.

Parameters:

• N_time (Number of time-steps in weather simulation)

• existing_wpp_power_curve_xr_fn (File name of a netcdf xarray.)

• 'wd'. (The xarray should include 'P_no_wake' as function of 'ws' and 'wake_losses' as a function of 'ws' and)

• 360 (Note that the wd must include both 0 and)

• interpolation). (and a large WS (for)

• flexible. (Resolution of ws and wd is)

• <xarray.Dataset>

• Dimensions ((ws: 53, wd: 361))

• Coordinates –

  • ws (ws) float64 0.0 0.5 1.0 1.5 2.0 … 24.5 25.0 25.0 100.0

  • wd (wd) float64 0.0 1.0 2.0 3.0 … 357.0 358.0 359.0 360.0

• variables (Data) – wake_losses_eff (ws, wd) float64 0.0 0.0 0.0 0.0 0.0 … 0.0 0.0 0.0 0.0 P_no_wake (ws) float64 0.0 0.0 0.0 0.0 0.0 … 100.0 100.0 0.0 0.0

• wpp_efficiency (WPP efficiency)

• wst (wind speed time series at the hub height)

• wdt (wind direction time series at the hub height)

Returns:

wind_t_ext_deg

Return type:

power time series with degradation extended through lifetime

N_time

wpp_efficiency = 0.95

existing_wpp_power_curve_xr_fn

setup()

Declare inputs and outputs.

Available attributes:

name pathname comm options

compute(inputs, outputs)

Compute outputs given inputs. The model is assumed to be in an unscaled state.

An inherited component may choose to either override this function or to define a compute_primal function.

Parameters:

• inputs (Vector) – Unscaled, dimensional input variables read via inputs[key].

• outputs (Vector) – Unscaled, dimensional output variables read via outputs[key].

• discrete_inputs (dict-like or None) – If not None, dict-like object containing discrete input values.

• discrete_outputs (dict-like or None) – If not None, dict-like object containing discrete output values.

class hydesign.wind.wind_hybridization.existing_wpp_with_degradation(life_h, N_time, existing_wpp_power_curve_xr_fn, wpp_efficiency=0.95, wind_deg_yr=[0, 25], wind_deg=[0, 25 * 1 / 100], share_WT_deg_types=0.5, weeks_per_season_per_year=None)

Bases: openmdao.api.ExplicitComponent

Wind power plant model for an existing layout Provides the wind power time series using wake affected power curve and the wind speed time series.

Parameters:

• N_time (Number of time-steps in weather simulation)

• life_h (lifetime in hours)

• existing_wpp_power_curve_xr_fn (File name of a netcdf xarray.)

• 'wd'. (The xarray should include 'P_no_wake' as function of 'ws' and 'wake_losses' as a function of 'ws' and)

• 360 (Note that the wd must include both 0 and)

• interpolation). (and a large WS (for)

• flexible. (Resolution of ws and wd is)

• <xarray.Dataset>

• Dimensions ((ws: 53, wd: 361))

• Coordinates –

  • ws (ws) float64 0.0 0.5 1.0 1.5 2.0 … 24.5 25.0 25.0 100.0

  • wd (wd) float64 0.0 1.0 2.0 3.0 … 357.0 358.0 359.0 360.0

• variables (Data) – wake_losses_eff (ws, wd) float64 0.0 0.0 0.0 0.0 0.0 … 0.0 0.0 0.0 0.0 P_no_wake (ws) float64 0.0 0.0 0.0 0.0 0.0 … 100.0 100.0 0.0 0.0

• wpp_efficiency (WPP efficiency)

• wind_deg_yr (year list for providing WT degradation curve)

• wind_deg (degradation losses at yr)

• share_WT_deg_types (share ratio between two degradation mechanism (0: only shift in power curve, 1: degradation as a loss factor ))

• ws (Power curve wind speed list)

• pcw (Wake affected power curve)

• wst (wind speed time series at the hub height)

Returns:

wind_t_ext_deg

Return type:

power time series with degradation extended through lifetime

life_h

N_time

wpp_efficiency = 0.95

existing_wpp_power_curve_xr_fn

wind_deg_yr = [0, 25]

wind_deg

share_WT_deg_types = 0.5

weeks_per_season_per_year = None

setup()

Declare inputs and outputs.

Available attributes:

name pathname comm options

compute(inputs, outputs)

Compute outputs given inputs. The model is assumed to be in an unscaled state.

An inherited component may choose to either override this function or to define a compute_primal function.

Parameters:

• inputs (Vector) – Unscaled, dimensional input variables read via inputs[key].

• outputs (Vector) – Unscaled, dimensional output variables read via outputs[key].

• discrete_inputs (dict-like or None) – If not None, dict-like object containing discrete input values.

• discrete_outputs (dict-like or None) – If not None, dict-like object containing discrete output values.

hydesign.wind.wind_hybridization.get_wind_ts_degradation(ws, pc, ws_ts, yr, wind_deg, life_h, share=0.5)

Parameters:

• ws (array-like) – wind speed.

• pc (array-like) – power curve.

• ws_ts (array-like) – wind speed time series.

• yr (array-like) – year.

• wind_deg (array-like) – degradation values for each year in the yr array.

• life_h (int) – lifetime in hours.

• share (float, optional) – share ratio between two degradation mechanism (0: only shift in power curve, 1: degradation as a loss factor ) . The default is 0.5.

Returns:

p_ts_deg_partial_factor – power time series after degradation.

Return type:

array