本文整理汇总了Python中pvlib.location.Location.get_solarposition方法的典型用法代码示例。如果您正苦于以下问题：Python Location.get_solarposition方法的具体用法？Python Location.get_solarposition怎么用？Python Location.get_solarposition使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类pvlib.location.Location的用法示例。
在下文中一共展示了Location.get_solarposition方法的4个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: test_PVSystem_get_irradiance
# 需要导入模块: from pvlib.location import Location [as 别名]
# 或者: from pvlib.location.Location import get_solarposition [as 别名]
def test_PVSystem_get_irradiance():
system = pvsystem.PVSystem(surface_tilt=32, surface_azimuth=135)
times = pd.DatetimeIndex(start='20160101 1200-0700',
end='20160101 1800-0700', freq='6H')
location = Location(latitude=32, longitude=-111)
solar_position = location.get_solarposition(times)
irrads = pd.DataFrame({'dni':[900,0], 'ghi':[600,0], 'dhi':[100,0]},
index=times)
irradiance = system.get_irradiance(solar_position['apparent_zenith'],
solar_position['azimuth'],
irrads['dni'],
irrads['ghi'],
irrads['dhi'])
expected = pd.DataFrame(data=np.array(
[[ 883.65494055, 745.86141676, 137.79352379, 126.397131 ,
11.39639279],
[ 0. , -0. , 0. , 0. , 0. ]]),
columns=['poa_global', 'poa_direct',
'poa_diffuse', 'poa_sky_diffuse',
'poa_ground_diffuse'],
index=times)
irradiance = np.round(irradiance, 4)
expected = np.round(expected, 4)
assert_frame_equal(irradiance, expected)示例2: test_get_irradiance
# 需要导入模块: from pvlib.location import Location [as 别名]
# 或者: from pvlib.location.Location import get_solarposition [as 别名]
def test_get_irradiance():
system = tracking.SingleAxisTracker(max_angle=90, axis_tilt=30,
axis_azimuth=180, gcr=2.0/7.0,
backtrack=True)
times = pd.DatetimeIndex(start='20160101 1200-0700',
end='20160101 1800-0700', freq='6H')
location = Location(latitude=32, longitude=-111)
solar_position = location.get_solarposition(times)
irrads = pd.DataFrame({'dni':[900,0], 'ghi':[600,0], 'dhi':[100,0]},
index=times)
solar_zenith = solar_position['apparent_zenith']
solar_azimuth = solar_position['azimuth']
tracker_data = system.singleaxis(solar_zenith, solar_azimuth)
irradiance = system.get_irradiance(irrads['dni'],
irrads['ghi'],
irrads['dhi'],
solar_zenith=solar_zenith,
solar_azimuth=solar_azimuth,
surface_tilt=tracker_data['surface_tilt'],
surface_azimuth=tracker_data['surface_azimuth'])
expected = pd.DataFrame(data=np.array(
[[ 961.80070, 815.94490, 145.85580, 135.32820,
10.52757492],
[ nan, nan, nan, nan,
nan]]),
columns=['poa_global', 'poa_direct',
'poa_diffuse', 'poa_sky_diffuse',
'poa_ground_diffuse'],
index=times)
assert_frame_equal(irradiance, expected, check_less_precise=2)示例3: test_get_irradiance
# 需要导入模块: from pvlib.location import Location [as 别名]
# 或者: from pvlib.location.Location import get_solarposition [as 别名]
def test_get_irradiance():
system = tracking.SingleAxisTracker(max_angle=90, axis_tilt=30,
axis_azimuth=180, gcr=2.0/7.0,
backtrack=True)
times = pd.date_range(start='20160101 1200-0700',
end='20160101 1800-0700', freq='6H')
location = Location(latitude=32, longitude=-111)
solar_position = location.get_solarposition(times)
irrads = pd.DataFrame({'dni': [900, 0], 'ghi': [600, 0], 'dhi': [100, 0]},
index=times)
solar_zenith = solar_position['apparent_zenith']
solar_azimuth = solar_position['azimuth']
# invalid warnings already generated in horizon test above,
# no need to clutter test output here
with np.errstate(invalid='ignore'):
tracker_data = system.singleaxis(solar_zenith, solar_azimuth)
# some invalid values in irradiance.py. not our problem here
with np.errstate(invalid='ignore'):
irradiance = system.get_irradiance(tracker_data['surface_tilt'],
tracker_data['surface_azimuth'],
solar_zenith,
solar_azimuth,
irrads['dni'],
irrads['ghi'],
irrads['dhi'])
expected = pd.DataFrame(data=np.array(
[[961.80070, 815.94490, 145.85580, 135.32820, 10.52757492],
[nan, nan, nan, nan, nan]]),
columns=['poa_global', 'poa_direct',
'poa_diffuse', 'poa_sky_diffuse',
'poa_ground_diffuse'],
index=times)
assert_frame_equal(irradiance, expected, check_less_precise=2)示例4: ForecastModel
# 需要导入模块: from pvlib.location import Location [as 别名]
# 或者: from pvlib.location.Location import get_solarposition [as 别名]
#.........这里部分代码省略.........
cloud_cover = cloud_cover / 100.
ghi = (offset + (1 - offset) * (1 - cloud_cover)) * ghi_clear
return ghi
def cloud_cover_to_irradiance_clearsky_scaling(self, cloud_cover,
method='linear',
**kwargs):
"""
Estimates irradiance from cloud cover in the following steps:
1. Determine clear sky GHI using Ineichen model and
climatological turbidity.
2. Estimate cloudy sky GHI using a function of
cloud_cover e.g.
:py:meth:`~ForecastModel.cloud_cover_to_ghi_linear`
3. Estimate cloudy sky DNI using the DISC model.
4. Calculate DHI from DNI and DHI.
Parameters
----------
cloud_cover : Series
Cloud cover in %.
method : str
Method for converting cloud cover to GHI.
'linear' is currently the only option.
**kwargs
Passed to the method that does the conversion
Returns
-------
irrads : DataFrame
Estimated GHI, DNI, and DHI.
"""
solpos = self.location.get_solarposition(cloud_cover.index)
cs = self.location.get_clearsky(cloud_cover.index, model='ineichen',
solar_position=solpos)
method = method.lower()
if method == 'linear':
ghi = self.cloud_cover_to_ghi_linear(cloud_cover, cs['ghi'],
**kwargs)
else:
raise ValueError('invalid method argument')
dni = disc(ghi, solpos['zenith'], cloud_cover.index)['dni']
dhi = ghi - dni * np.cos(np.radians(solpos['zenith']))
irrads = pd.DataFrame({'ghi': ghi, 'dni': dni, 'dhi': dhi}).fillna(0)
return irrads
def cloud_cover_to_transmittance_linear(self, cloud_cover, offset=0.75,
**kwargs):
"""
Convert cloud cover to atmospheric transmittance using a linear
model.
0% cloud cover returns offset.
100% cloud cover returns 0.
Parameters
----------
cloud_cover : numeric
Cloud cover in %.
offset : numeric
Determines the maximum transmittance.