hydesign.pv.pv

Classes

pvp	PV power plant model : It computes the solar power output during the lifetime of the plant using solar plant AC capacity, DC/AC ratio, location coordinates and PV module angles
pvp_with_degradation	PV degradation model providing the PV degradation time series throughout the lifetime of the plant
pvp_degradation_linear	PV degradation model providing the PV degradation time series throughout the lifetime of the plant,
shadow	pv loss model due to shadows of wt

Functions

get_solar_time_series(surface_tilt, surface_azimuth, ...)	Computing the output power time series of the PV plant
get_linear_solar_degradation(pv_deg_per_year, life[, ...])	Computes the PV degradation

Module Contents

class hydesign.pv.pv.pvp(weather_fn, N_time, latitude, longitude, altitude, tracking='single_axis')

Bases: openmdao.api.ExplicitComponent

PV power plant model : It computes the solar power output during the lifetime of the plant using solar plant AC capacity, DC/AC ratio, location coordinates and PV module angles

weather_fn

N_time

tracking = 'single_axis'

weather

pvloc

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.pv.pv.pvp_with_degradation(life_y=25, intervals_per_hour=1, pv_deg_yr=[0, 25], pv_deg=[0, 25 * 1 / 100])

Bases: openmdao.api.ExplicitComponent

PV degradation model providing the PV degradation time series throughout the lifetime of the plant

life_y = 25

life_h = 219000

life_intervals = 219000

intervals_per_hour = 1

pv_deg_yr = [0, 25]

pv_deg

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.pv.pv.pvp_degradation_linear(life_y=25, intervals_per_hour=1)

Bases: openmdao.api.ExplicitComponent

PV degradation model providing the PV degradation time series throughout the lifetime of the plant, considering a fixed linear degradation of the PV panels

life_y = 25

life_h = 219000

life_intervals = 219000

intervals_per_hour = 1

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.pv.pv.shadow(N_time)

Bases: openmdao.api.ExplicitComponent

pv loss model due to shadows of wt

N_time

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.pv.pv.get_solar_time_series(surface_tilt, surface_azimuth, solar_MW, land_use_per_solar_MW, DC_AC_ratio, tracking, pvloc, weather)

Computing the output power time series of the PV plant

Parameters:

• surface_tilt (surface tilt of the PV panels)

• surface_azimuth (azimuth of the PV panels)

• DC_AC_ratio (DC-AC ratio of the PV converter)

• solar_MW (AC nominal capacity of the PV power plant)

Returns:

solar_t

Return type:

PV power time series

hydesign.pv.pv.get_linear_solar_degradation(pv_deg_per_year, life, intervals_per_hour=1)

Computes the PV degradation

Parameters:

• pv_deg_per_year (fixed yearly degradation of PV panels)

• life (lifetime of the plant in intervals)

Returns:

SoH_pv

Return type:

degradation of the PV plant throughout the lifetime