Add 2025 coefficients for Huld model

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

@@ -19,7 +19,7 @@ Bug fixes
 
 Enhancements
 ~~~~~~~~~~~~
-
+* Add new parameters for the Huld PV array mode :py:func:`~pvlib.pvarray.huld` (:issue:`2461`, :pull:`2486`)
 
 Documentation
 ~~~~~~~~~~~~~
@@ -45,3 +45,6 @@ Maintenance
 Contributors
 ~~~~~~~~~~~~
 * Elijah Passmore (:ghuser:`eljpsm`)
+* Omar Bahamida (:ghuser:`OmarBahamida`)
+* Cliff Hansen (:ghuser:`cwhanse`)
+

pvlib/pvarray.py

@@ -37,7 +37,7 @@ def pvefficiency_adr(effective_irradiance, temp_cell,
         the reference conditions. [unitless]
 
     k_d : numeric, negative
-        “Dark irradiance” or diode coefficient which influences the voltage
+        "Dark irradiance" or diode coefficient which influences the voltage
         increase with irradiance. [unitless]
 
     tc_d : numeric
@@ -225,24 +225,54 @@ def adr_wrapper(xdata, *params):
         return popt
 
 
-def _infer_k_huld(cell_type, pdc0):
+def _infer_k_huld(cell_type, pdc0, k_version):
+    r"""
+    Get the EU JRC updated coefficients for the Huld model.
+
+    Parameters
+    ----------
+    cell_type : str
+        Must be one of 'csi', 'cis', or 'cdte'
+    pdc0 : numeric
+        Power of the modules at reference conditions [W]
+    k_version : str
+        Either '2011' or '2025'.
+
+    Returns
+    -------
+    tuple
+        The six coefficients (k1-k6) for the Huld model, scaled by pdc0
+    """
     # from PVGIS documentation, "PVGIS data sources & calculation methods",
     # Section 5.2.3, accessed 12/22/2023
     # The parameters in PVGIS' documentation are for a version of Huld's
     # equation that has factored Pdc0 out of the polynomial:
     #  P = G/1000 * Pdc0 * (1 + k1 log(Geff) + ...) so these parameters are
     # multiplied by pdc0
-    huld_params = {'csi': (-0.017237, -0.040465, -0.004702, 0.000149,
-                           0.000170, 0.000005),
-                   'cis': (-0.005554, -0.038724, -0.003723, -0.000905,
-                           -0.001256, 0.000001),
-                   'cdte': (-0.046689, -0.072844, -0.002262, 0.000276,
-                            0.000159, -0.000006)}
+    if k_version == '2011':
+        huld_params = {'csi': (-0.017237, -0.040465, -0.004702, 0.000149,
+                               0.000170, 0.000005),
+                       'cis': (-0.005554, -0.038724, -0.003723, -0.000905,
+                               -0.001256, 0.000001),
+                       'cdte': (-0.046689, -0.072844, -0.002262, 0.000276,
+                                0.000159, -0.000006)}
+    elif k_version == '2025':
+        # Updated coefficients from EU JRC paper
+        huld_params = {'csi': (-0.017162, -0.040289, -0.004681, 0.000148,
+                               0.000169, 0.000005),
+                       'cis': (-0.005521, -0.038576, -0.003711, -0.000901,
+                               -0.001251, 0.000001),
+                       'cdte': (-0.046477, -0.072509, -0.002252, 0.000275,
+                                0.000158, -0.000006)}
+    else:
+        raise ValueError(f'Invalid k_version={k_version}: must be either '
+                         '"2011" or "2025" as a string')
     k = tuple([x*pdc0 for x in huld_params[cell_type.lower()]])
     return k
 
 
-def huld(effective_irradiance, temp_mod, pdc0, k=None, cell_type=None):
+def huld(effective_irradiance, temp_mod, pdc0, k=None, cell_type=None,
+         k_version=None):
     r"""
     Power (DC) using the Huld model.
 
@@ -274,6 +304,10 @@ def huld(effective_irradiance, temp_mod, pdc0, k=None, cell_type=None):
     cell_type : str, optional
         If provided, must be one of ``'cSi'``, ``'CIS'``, or ``'CdTe'``.
         Used to look up default values for ``k`` if ``k`` is not specified.
+    k_version : str, optional
+        Either `'2011'` (default) or `'2025'`. Used to select default values
+        for ``k`` if ``k`` is not specified. If `'2011'`, values from [1]_
+        are used; if `'2025'` values are from [2]_.
 
     Returns
     -------
@@ -328,14 +362,21 @@ def huld(effective_irradiance, temp_mod, pdc0, k=None, cell_type=None):
 
     References
     ----------
-    .. [1] T. Huld, G. Friesen, A. Skoczek, R. Kenny, T. Sample, M. Field,
-           E. Dunlop. A power-rating model for crystalline silicon PV modules.
-           Solar Energy Materials and Solar Cells 95, (2011), pp. 3359-3369.
-           :doi:`10.1016/j.solmat.2011.07.026`.
+    .. [1] T. Huld, G. Friesen, A. Skoczek, R. Kenny, T. Sample, M. Field, and
+           E. Dunlop, "A power-rating model for crystalline silicon PV
+           modules," Solar Energy Materials and Solar Cells 95, (2011),
+           pp. 3359-3369. :doi:`10.1016/j.solmat.2011.07.026`.
+    .. [2] A. Chatzipanagi, N. Taylor, I. Suarez, A. Martinez, T. Lyubenova,
+           and E. Dunlop, "An Updated Simplified Energy Yield Model for Recent
+           Photovoltaic Module Technologies,"
+           Progress in Photovoltaics: Research and Applications 33,
+           no. 8 (2025): 905–917, :doi:`10.1002/pip.3926`.
     """
     if k is None:
         if cell_type is not None:
-            k = _infer_k_huld(cell_type, pdc0)
+            if k_version is None:
+                k_version = '2011'
+            k = _infer_k_huld(cell_type, pdc0, k_version)
         else:
             raise ValueError('Either k or cell_type must be specified')
 
@@ -346,7 +387,10 @@ def huld(effective_irradiance, temp_mod, pdc0, k=None, cell_type=None):
         logGprime = np.log(gprime, out=np.zeros_like(gprime),
                            where=np.array(gprime > 0))
     # Eq. 1 in [1]
-    pdc = gprime * (pdc0 + k[0] * logGprime + k[1] * logGprime**2 +
-                    k[2] * tprime + k[3] * tprime * logGprime +
-                    k[4] * tprime * logGprime**2 + k[5] * tprime**2)
+    pdc = gprime * (
+        pdc0 + k[0] * logGprime + k[1] * logGprime**2 +
+        k[2] * tprime + k[3] * tprime * logGprime +
+        k[4] * tprime * logGprime**2 +
+        k[5] * tprime**2
+    )
     return pdc

tests/test_pvarray.py

@@ -53,7 +53,8 @@ def test_huld():
     pdc0 = 100
     res = pvarray.huld(1000, 25, pdc0, cell_type='cSi')
     assert np.isclose(res, pdc0)
-    exp_sum = np.exp(1) * (np.sum(pvarray._infer_k_huld('cSi', pdc0)) + pdc0)
+    k = pvarray._infer_k_huld('cSi', pdc0, '2011')
+    exp_sum = np.exp(1) * (np.sum(k) + pdc0)
     res = pvarray.huld(1000*np.exp(1), 26, pdc0, cell_type='cSi')
     assert np.isclose(res, exp_sum)
     res = pvarray.huld(100, 30, pdc0, k=(1, 1, 1, 1, 1, 1))
@@ -69,3 +70,36 @@ def test_huld():
     with pytest.raises(ValueError,
                        match='Either k or cell_type must be specified'):
         res = pvarray.huld(1000, 25, 100)
+
+
+def test_huld_params():
+    """Test Huld with built-in coefficients."""
+    pdc0 = 100
+    # Use non-reference values so coefficients affect the result
+    eff_irr = 800  # W/m^2 (not 1000)
+    temp_mod = 35  # deg C (not 25)
+    # calculated by C. Hansen using Excel, 2025
+    expected = {'2011': {'csi': 76.405089,
+                         'cis': 77.086016,
+                         'cdte': 78.642762
+                         },
+                '2025': {'csi': 76.421390,
+                         'cis': 77.095102,
+                         'cdte': 78.648450
+                         }
+                }
+    # Test with 2011 coefficients for all cell types
+    for yr in expected:
+        for cell_type in expected[yr]:
+            result = pvarray.huld(eff_irr, temp_mod, pdc0, cell_type=cell_type,
+                                  k_version=yr)
+            assert np.isclose(result, expected[yr][cell_type])
+    # Check errors for incorrect cell_type and incorrect k_version
+    with pytest.raises(KeyError):
+        pvarray.huld(
+            eff_irr, temp_mod, pdc0, cell_type='invalid', k_version='2011'
+        )
+    with pytest.raises(ValueError, match='Invalid k_version=2021'):
+        pvarray.huld(
+            eff_irr, temp_mod, pdc0, cell_type='csi', k_version='2021'
+        )