diff --git a/src/libecalc/core/models/generator.py b/src/libecalc/core/models/generator.py
index fcb8d087c..12a3daa58 100644
--- a/src/libecalc/core/models/generator.py
+++ b/src/libecalc/core/models/generator.py
@@ -3,6 +3,7 @@
 from scipy.interpolate import interp1d
 
 from libecalc import dto
+from libecalc.common.list.adjustment import transform_linear
 
 
 class GeneratorModelSampled:
@@ -10,10 +11,16 @@ def __init__(
         self,
         data_transfer_object: dto.GeneratorSetSampled,
     ):
+        fuel_values = transform_linear(
+            np.array(data_transfer_object.fuel_values),
+            constant=data_transfer_object.energy_usage_adjustment_constant,
+            factor=data_transfer_object.energy_usage_adjustment_factor,
+        )
+
         self._func = interp1d(
             data_transfer_object.power_values,
-            data_transfer_object.fuel_values,
-            fill_value=(min(data_transfer_object.fuel_values), max(data_transfer_object.fuel_values)),
+            fuel_values.tolist(),
+            fill_value=(min(fuel_values), max(fuel_values)),
             bounds_error=False,
         )
 
diff --git a/src/tests/libecalc/core/models/test_generator_model.py b/src/tests/libecalc/core/models/test_generator_model.py
index 9c5eeb682..81eec821c 100644
--- a/src/tests/libecalc/core/models/test_generator_model.py
+++ b/src/tests/libecalc/core/models/test_generator_model.py
@@ -50,3 +50,24 @@ def test_capacity_margin(self):
         )
         capacity_margin = el2fuel_function.evaluate_power_capacity_margin(np.array([0, 1, 2, 3, 4, 5]))
         np.testing.assert_allclose(capacity_margin, np.asarray([3, 2, 1, 0, -1, -2]))
+
+    def test_energy_adjustment(self):
+        # Testing adjustment of energy usage according to factor and constant specified in facility input.
+
+        fuel_values = [1, 2, 3]
+        power_values = [1, 2, 3]
+        adjustment_factor = 1.5
+        adjustment_constant = 0.5
+
+        el2fuel = GeneratorModelSampled(
+            data_transfer_object=dto.GeneratorSetSampled(
+                data=[fuel_values, power_values],
+                headers=["FUEL", "POWER"],
+                energy_usage_adjustment_factor=adjustment_factor,
+                energy_usage_adjustment_constant=adjustment_constant,
+            )
+        )
+
+        expected_adjusted_fuel = list(np.array(fuel_values) * adjustment_factor + adjustment_constant)
+
+        assert el2fuel.evaluate(np.asarray(power_values)).tolist() == expected_adjusted_fuel