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Floating PV Systems Modelling | ||
----------------------------- |
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docs/examples/floating-pv/plot_floating_pv_cell_temperature.py
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r""" | ||
Temperature modeling for floating PV | ||
================================================ | ||
|
||
This example uses the PVSyst temperature model to calculate | ||
cell temperature for floating photovoltaic (FPV) systems. | ||
|
||
One of the primary benefits attributed to FPV systems is the potential | ||
for lower operating temperatures, which are expected to increase the | ||
operating efficiency. In general, the temperature at which a photovoltaic | ||
module operates is influenced by various factors including solar radiation, | ||
ambient temperature, wind speed and direction, and the characteristics of the | ||
cell and module materials, as well as the mounting structure. | ||
|
||
A popular model for calculating PV cell temperature is the | ||
empirical heat loss factor model suggested by Faiman | ||
(:py:func:`pvlib.temperature.faiman`). A modified version of this model is | ||
has been proposed by PVSyst (:py:func:`~pvlib.temperature.pvsyst_cell`). | ||
The PVSyst model for cell temperature :math:`T_{C}` is given by: | ||
|
||
.. math:: | ||
:label: pvsyst | ||
|
||
T_{C} = T_{a} + \frac{\alpha \cdot E \cdot (1 - \eta_{m})}{U_{c} + U_{v} \cdot WS}, | ||
|
||
where :math:`E` is the plane-of-array irradiance, :math:`T_{a}` is the | ||
ambient air temperature, :math:`WS` is the wind speed, :math:`\alpha` is the | ||
absorbed fraction of the incident irradiance, :math:`\eta_{m}` is the | ||
electrical efficiency of the module, :math:`U_{c}` is the wind-independent heat | ||
loss coefficient, and :math:`U_{v}` is the wind-dependent heat loss coefficient. | ||
It should be noted that in many cases, similar to land-based PV systems, | ||
the wind-dependent heat loss coefficient (:math:`U_{v}`) can be set to zero, | ||
and the denominator is thus reduced to a single combined U-value | ||
(:math:`U_{c}`). | ||
|
||
However, the default heat loss coefficient values of the PVSyst model were | ||
specified for land-based PV systems and are not necessarily representative | ||
of FPV systems. | ||
|
||
For FPV systems, the module's operating temperature, much like in land-based | ||
systems, is mainly influenced by the mounting structure (which significantly | ||
affects both U-value coefficients), wind, and air temperature. Thus, factors | ||
that help reduce operating temperatures in such systems include lower air | ||
temperatures and changes in air flow beneath the modules (wind/convection). | ||
In some designs, where the modules are in direct thermal contact with water, | ||
cooling effectiveness is largely dictated by the water temperature. | ||
|
||
Systems with closely packed modules and restricted airflow behind the modules | ||
generally exhibit lower heat loss coefficients compared to those with better | ||
airflow behind the modules. | ||
|
||
The table below gives heat loss coefficients derived for different FPV systems | ||
and locations as found in the literature. It should be noted that, for some | ||
systems, there are two sets of coefficients, where the second set uses only | ||
one heat loss coefficient (i.e., only :math:`U_{c}`). | ||
|
||
.. table:: Heat transfer coefficients for different PV systems | ||
:widths: 40 15 15 15 15 | ||
|
||
+--------------------------+-------------+--------------------------------+----------------------------------------+-----------+ | ||
| System | Location |:math:`U_{c}` | :math:`U_{v}` | Reference | | ||
| | |:math:`[\frac{W}{m^2 \cdot K}]` | :math:`[\frac{W}{m^3 \cdot K \cdot s}]`| | | ||
+==========================+=============+================================+========================================+===========+ | ||
| - Monofacial module | Netherlands | 24.4 | 6.5 | [1]_ | | ||
| - Open structure | | | | | | ||
| - Two-axis tracking | | 57 | 0 | | | ||
| - Small water footprint | | | | | | ||
+--------------------------+-------------+--------------------------------+----------------------------------------+-----------+ | ||
| - Monofacial module | Netherlands | 25.2 | 3.7 | [1]_ | | ||
| - Closed structure | | | | | | ||
| - Large water footprint | | 37 | 0 | | | ||
+--------------------------+-------------+--------------------------------+----------------------------------------+-----------+ | ||
| - Monofacial module | Singapore | 34.8 | 0.8 | [1]_ | | ||
| - Closed structure | | | | | | ||
| - Large water footprint | | 36 | 0 | | | ||
+--------------------------+-------------+--------------------------------+----------------------------------------+-----------+ | ||
| - Monofacial module | Singapore | 18.9 | 8.9 | [1]_ | | ||
| - Closed structure | | | | | | ||
| - Medium water footprint | | 41 | 0 | | | ||
+--------------------------+-------------+--------------------------------+----------------------------------------+-----------+ | ||
| - Monofacial module | Singapore | 35.3 | 8.9 | [1]_ | | ||
| - Open structure | | | | | | ||
| - Free-standing | | 55 | 0 | | | ||
+--------------------------+-------------+--------------------------------+----------------------------------------+-----------+ | ||
| - Monofacial module | Norway | 71 | 0 | [2]_ | | ||
| - In contact with water | | | | | | ||
| - Calculated using water | | | | | | ||
| temperature as | | | | | | ||
| :math:`T_{amb}` | | | | | | ||
+--------------------------+-------------+--------------------------------+----------------------------------------+-----------+ | ||
| - Monofacial module | South Italy | 31.9 | 1.5 | [3]_ | | ||
| - Open structure | | | | | | ||
| - Free-standing | | | | | | ||
+--------------------------+-------------+--------------------------------+----------------------------------------+-----------+ | ||
| - Bifacial module | South Italy | 35.2 | 1.5 | [3]_ | | ||
| - Open structure | | | | | | ||
| - Free-standing | | | | | | ||
+--------------------------+-------------+--------------------------------+----------------------------------------+-----------+ | ||
|
||
References | ||
---------- | ||
.. [1] Dörenkämper M., Wahed A., Kumar A., de Jong M., Kroon J., Reindl T. | ||
(2021), 'The cooling effect of floating PV in two different climate zones: | ||
A comparison of field test data from the Netherlands and Singapore' | ||
Solar Energy, vol. 214, pp. 239-247, :doi:`10.1016/j.solener.2020.11.029`. | ||
|
||
.. [2] Kjeldstad T., Lindholm D., Marstein E., Selj J. (2021), 'Cooling of | ||
floating photovoltaics and the importance of water temperature', Solar | ||
Energy, vol. 218, pp. 544-551, :doi:`10.1016/j.solener.2021.03.022`. | ||
|
||
.. [3] Tina G.M., Scavo F.B., Merlo L., Bizzarri F. (2021), 'Comparative | ||
analysis of monofacial and bifacial photovoltaic modules for floating | ||
power plants', Applied Energy, vol 281, pp. 116084, | ||
:doi:`10.1016/j.apenergy.2020.116084`. | ||
""" # noqa: E501 | ||
|
||
# %% | ||
# Read example weather data | ||
# ^^^^^^^^^^^^^^^^^^^^^^^^^ | ||
# Read weather data from a TMY3 file and calculate the solar position and | ||
# the plane-of-array irradiance. | ||
|
||
import pvlib | ||
import matplotlib.pyplot as plt | ||
from pathlib import Path | ||
|
||
# Assume a FPV system on a lake with the following specifications | ||
tilt = 30 # degrees | ||
azimuth = 180 # south-facing | ||
|
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# Datafile found in the pvlib distribution | ||
data_file = Path(pvlib.__path__[0]).joinpath('data', '723170TYA.CSV') | ||
|
||
tmy, metadata = pvlib.iotools.read_tmy3( | ||
data_file, coerce_year=2002, map_variables=True | ||
) | ||
tmy = tmy.filter( | ||
['ghi', 'dni', 'dni_extra', 'dhi', 'temp_air', 'wind_speed', 'pressure'] | ||
) # remaining columns are not needed | ||
tmy = tmy['2002-06-06 00:00':'2002-06-06 23:59'] # select period | ||
|
||
solar_position = pvlib.solarposition.get_solarposition( | ||
# TMY timestamp is at end of hour, so shift to center of interval | ||
tmy.index.shift(freq='-30T'), | ||
latitude=metadata['latitude'], | ||
longitude=metadata['longitude'], | ||
altitude=metadata['altitude'], | ||
pressure=tmy['pressure'] * 100, # convert from millibar to Pa | ||
temperature=tmy['temp_air'], | ||
) | ||
solar_position.index = tmy.index # reset index to end of the hour | ||
|
||
# Albedo calculation for inland water bodies | ||
albedo = pvlib.albedo.inland_water_dvoracek( | ||
solar_elevation=solar_position['elevation'], | ||
surface_condition='clear_water_no_waves' | ||
) | ||
|
||
# Use transposition model to find plane-of-array irradiance | ||
irradiance = pvlib.irradiance.get_total_irradiance( | ||
surface_tilt=tilt, | ||
surface_azimuth=azimuth, | ||
solar_zenith=solar_position['apparent_zenith'], | ||
solar_azimuth=solar_position['azimuth'], | ||
dni=tmy['dni'], | ||
dni_extra=tmy['dni_extra'], | ||
ghi=tmy['ghi'], | ||
dhi=tmy['dhi'], | ||
albedo=albedo, | ||
model='haydavies' | ||
) | ||
|
||
# %% | ||
# Calculate and plot cell temperature | ||
# ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | ||
# The temperature of the PV cell is calculated for lake-based floating PV | ||
# systems. | ||
|
||
# Make a dictionary containing all the sets of coefficients presented in the | ||
# above table. | ||
heat_loss_coeffs = { | ||
'open_structure_small_footprint_tracking_NL': [24.4, 6.5, 'C0', 'solid'], | ||
'open_structure_small_footprint_tracking_NL_2': [57, 0, 'C0', 'dashed'], | ||
'closed_structure_large_footprint_NL': [25.2, 3.7, 'C1', 'solid'], | ||
'closed_structure_large_footprint_NL_2': [37, 0, 'C1', 'dashed'], | ||
'closed_structure_large_footprint_SG': [34.8, 0.8, 'C2', 'solid'], | ||
'closed_structure_large_footprint_SG_2': [36, 0, 'C2', 'dashed'], | ||
'closed_structure_medium_footprint_SG': [18.9, 8.9, 'C3', 'solid'], | ||
'closed_structure_medium_footprint_SG_2': [41, 0, 'C3', 'dashed'], | ||
'open_structure_free_standing_SG': [35.3, 8.9, 'C4', 'solid'], | ||
'open_structure_free_standing_SG_2': [55, 0, 'C4', 'dashed'], | ||
'in_contact_with_water_NO': [71, 0, 'C5', 'solid'], | ||
'open_structure_free_standing_IT': [31.9, 1.5, 'C6', 'solid'], | ||
'open_structure_free_standing_bifacial_IT': [35.2, 1.5, 'C7', 'solid'], | ||
'default_PVSyst_coeffs_for_land_systems': [29.0, 0, 'C8', 'solid'] | ||
} | ||
|
||
# Plot the cell temperature for each set of the above heat loss coefficients | ||
for coeffs in heat_loss_coeffs: | ||
T_cell = pvlib.temperature.pvsyst_cell( | ||
poa_global=irradiance['poa_global'], | ||
temp_air=tmy['temp_air'], | ||
wind_speed=tmy['wind_speed'], | ||
u_c=heat_loss_coeffs[coeffs][0], | ||
u_v=heat_loss_coeffs[coeffs][1] | ||
) | ||
# Convert Dataframe Indexes to Hour format to make plotting easier | ||
T_cell.index = T_cell.index.strftime("%H") | ||
plt.plot(T_cell, label=coeffs, c=heat_loss_coeffs[coeffs][2], | ||
ls=heat_loss_coeffs[coeffs][3], alpha=0.8) | ||
|
||
plt.xlabel('Hour') | ||
plt.ylabel('PV cell temperature [°C]') | ||
plt.ylim(10, 45) | ||
plt.xlim('06', '20') | ||
plt.grid() | ||
plt.legend(loc='upper left', frameon=False, ncols=2, fontsize='x-small', | ||
bbox_to_anchor=(0, -0.2)) | ||
plt.tight_layout() | ||
plt.show() | ||
|
||
# %% | ||
# The figure above illustrates the necessity of choosing appropriate heat loss | ||
# coefficients when using the PVSyst model for calculating the cell temperature | ||
# for floating PV systems. A difference of up to 10.3 °C was obtained when | ||
# using the default PVSyst coefficients versus using coefficients for systems | ||
# where panels are in contact with water. | ||
# | ||
# It should be noted that, using the single combined U-value versus the | ||
# :math:`U_c` and :math:`U_v` gives significantly different results, even | ||
# when using the coefficients derived from the same system. |
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