Adds k parameter to temperature.ross

docs/sphinx/source/whatsnew/v0.13.1.rst

@@ -20,6 +20,10 @@ Bug fixes
 
 Enhancements
 ~~~~~~~~~~~~
+* Rename parameter name ``aparent_azimuth`` to ``solar_azimuth`` in :py:func:`~pvlib.tracking.singleaxis`.
+  (:issue:`2479`, :pull:`2480`)
+* Add k coefficient in :py:func:`~pvlib.temperature.ross`
+  (:issue:`2506`, :pull:`2521`)
 * Add :py:func:`pvlib.iotools.get_nasa_power` to retrieve data from NASA POWER free API.
   (:pull:`2500`)
 * :py:func:`pvlib.spectrum.spectral_factor_firstsolar` no longer emits warnings
@@ -54,4 +58,5 @@ Contributors
 * Ioannis Sifnaios (:ghuser:`IoannisSifnaios`)
 * Rajiv Daxini (:ghuser:`RDaxini`)
 * Omar Bahamida (:ghuser:`OmarBahamida`)
+* Rodrigo Amaro e Silva (:ghuser:`ramaroesilva`)
 * Kevin Anderson (:ghuser:`kandersolar`)

pvlib/temperature.py

@@ -618,7 +618,7 @@ def faiman_rad(poa_global, temp_air, wind_speed=1.0, ir_down=None,
     return temp_air + temp_difference
 
 
-def ross(poa_global, temp_air, noct):
+def ross(poa_global, temp_air, noct=None, k=None):
     r'''
     Calculate cell temperature using the Ross model.
 
@@ -638,6 +638,9 @@ def ross(poa_global, temp_air, noct):
     noct : numeric
         Nominal operating cell temperature [C], determined at conditions of
         800 W/m^2 irradiance, 20 C ambient air temperature and 1 m/s wind.
+    k: numeric
+        Ross coefficient [Km^2/W], which is an alternative to employing
+        NOCT in Ross's equation.
 
     Returns
     -------
@@ -650,19 +653,62 @@ def ross(poa_global, temp_air, noct):
 
     .. math::
 
-        T_{C} = T_{a} + \frac{NOCT - 20}{80} S
+        T_{C} = T_{a} + \frac{NOCT - 20}{80} S = T_{a} + k × S
 
     where :math:`S` is the plane of array irradiance in :math:`mW/{cm}^2`.
     This function expects irradiance in :math:`W/m^2`.
 
+    Representative values for k are provided in [2]_, covering different types
+    of mounting and degrees of back ventialtion. The naming designations,
+    however, are adapted from [3]_ to enhance clarity and usability.
+
+    +--------------------------------------+-----------+
+    | Mounting                             | :math:`k` |
+    +======================================+===========+
+    | Sloped roof, well ventilated         | 0.02      |
+    +--------------------------------------+-----------+
+    | Free-standing system                 | 0.0208    |
+    +--------------------------------------+-----------+
+    | Flat roof, well ventilated           | 0.026     |
+    +--------------------------------------+-----------+
+    | Sloped roof, poorly ventilated       | 0.0342    |
+    +--------------------------------------+-----------+
+    | Facade integrated, semi-ventilated   | 0.0455    |
+    +--------------------------------------+-----------+
+    | Facade integrated, poorly ventilted  | 0.0538    |
+    +--------------------------------------+-----------+
+    | Sloped roof, non-ventilated          | 0.0563    |
+    +--------------------------------------+-----------+
+
+    It is also worth noting that the semi-ventilated facade case refers to
+    partly transparent compound glass insulation modules, while the non-
+    ventilated case corresponds to opaque, insulated PV-cladding elements.
+    However, the emphasis in [3]_ appears to be on ventilation conditions
+    rather than module construction.
+
     References
     ----------
     .. [1] Ross, R. G. Jr., (1981). "Design Techniques for Flat-Plate
        Photovoltaic Arrays". 15th IEEE Photovoltaic Specialist Conference,
        Orlando, FL.
+    .. [2] E. Skoplaki and J. A. Palyvos, “Operating temperature of
+       photovoltaic modules: A survey of pertinent correlations,” Renewable
+       Energy, vol. 34, no. 1, pp. 23–29, Jan. 2009,
+       :doi:`10.1016/j.renene.2008.04.009`
+    .. [3] T. Nordmann and L. Clavadetscher, “Understanding temperature
+       effects on PV system performance," Proceedings of 3rd World Conference
+       on Photovoltaic Energy Conversion, May 2003.
     '''
-    # factor of 0.1 converts irradiance from W/m2 to mW/cm2
-    return temp_air + (noct - 20.) / 80. * poa_global * 0.1
+    if (noct is None) & (k is None):
+        raise ValueError("Either noct or k need is required.")
+    elif (noct is not None) & (k is not None):
+        raise ValueError("Provide only one of noct or k, not both.")
+    elif k is None:
+        # factor of 0.1 converts irradiance from W/m2 to mW/cm2
+        return temp_air + (noct - 20.) / 80. * poa_global * 0.1
+    elif noct is None:
+        # k assumes irradiance in W.m-2, dismissing 0.1 factor
+        return temp_air + k * poa_global
 
 
 def _fuentes_hconv(tave, windmod, tinoct, temp_delta, xlen, tilt,

tests/test_temperature.py

@@ -152,11 +152,45 @@ def test_faiman_rad_ir():
 
 
 def test_ross():
-    result = temperature.ross(np.array([1000., 600., 1000.]),
-                              np.array([20., 40., 60.]),
-                              np.array([40., 100., 20.]))
-    expected = np.array([45., 100., 60.])
-    assert_allclose(expected, result)
+    # single values
+    result1 = temperature.ross(1000., 30., noct=50)
+    result2 = temperature.ross(1000., 30., k=0.0375)
+
+    expected = 67.5
+    assert_allclose(expected, result1)
+    assert_allclose(expected, result2)
+
+    # pd.Series
+    times = pd.date_range('2025-07-30 14:00', '2025-07-30 16:00', freq='h')
+
+    df = pd.DataFrame({'t_air': np.array([20., 30., 40.]),
+                       'ghi': np.array([800., 700., 600.])},
+                      index=times)
+
+    result1 = temperature.ross(df['ghi'], df['t_air'], noct=50.)
+    result2 = temperature.ross(df['ghi'], df['t_air'], k=0.0375)
+
+    expected = pd.Series([50., 56.25, 62.5], index=times)
+    assert_allclose(expected, result1)
+    assert_allclose(expected, result2)
+
+    # np.array
+    ghi_array = df['ghi'].values
+    t_air_array = df['t_air'].values
+
+    result1 = temperature.ross(ghi_array, t_air_array, noct=50.)
+    result2 = temperature.ross(ghi_array, t_air_array, k=0.0375)
+
+    expected = expected.values
+    assert_allclose(expected, result1)
+    assert_allclose(expected, result2)
+
+
+def test_ross_errors():
+    with pytest.raises(ValueError, match='Either noct or k need is required'):
+        temperature.ross(1000., 30.)
+    with pytest.raises(ValueError, match='Provide only one of noct or k'):
+        temperature.ross(1000., 30., noct=45., k=0.02)
 
 
 def test_faiman_series():