From 206ab691a09d5cb594516078271af42f47e61d09 Mon Sep 17 00:00:00 2001
From: "Jeremy L." <5149279+lymereJ@users.noreply.github.com>
Date: Fri, 1 Nov 2024 15:21:11 -0700
Subject: [PATCH] Remove duplicate information. (#123)

---
 copper/data/equipment_references.json |  5 +---
 copper/unitarydirectexpansion.py      | 34 +++++++++++++++------------
 tests/test_unitarydirectexpansion.py  |  2 +-
 3 files changed, 21 insertions(+), 20 deletions(-)

diff --git a/copper/data/equipment_references.json b/copper/data/equipment_references.json
index ef72c15..9b2aad7 100644
--- a/copper/data/equipment_references.json
+++ b/copper/data/equipment_references.json
@@ -62,10 +62,7 @@
                 "numofreducedcap": 4,
                 "reducedplr": [1.0, 0.75, 0.5, 0.25],
                 "weightingfactor": [0.02,  0.617,  0.238, 0.125]
-            },
-            "outdoor_unit_inlet_air_dry_bulb_rated": 35,
-            "outdoor_unit_inlet_air_dry_bulb_reduced": 18.3,
-            "cooling_coil_inlet_air_wet_bulb_rated": 19.44
+            }
         },
         "ahri_341/361": {}
     }
diff --git a/copper/unitarydirectexpansion.py b/copper/unitarydirectexpansion.py
index 5bf45a5..1b4db91 100644
--- a/copper/unitarydirectexpansion.py
+++ b/copper/unitarydirectexpansion.py
@@ -344,12 +344,12 @@ def calc_rated_eff(
             "weightingfactor"
         ]
         tot_cap_temp_mod_fac = cap_f_t.evaluate(
-            equipment_references[eqp_type][std][
-                "cooling_coil_inlet_air_wet_bulb_rated"
-            ],
-            equipment_references[eqp_type][std][
-                "outdoor_unit_inlet_air_dry_bulb_rated"
-            ],
+            Equipment.convert_to_deg_c(
+                value=equipment_references[eqp_type][std][self.condenser_type]["aew"]
+            ),
+            Equipment.convert_to_deg_c(
+                value=equipment_references[eqp_type][std][self.condenser_type]["ect"][0]
+            ),
         )
 
         # Calculate NET rated capacity
@@ -372,15 +372,19 @@ def calc_rated_eff(
                     5.0 + 30.0 * reduced_plr[red_cap_num]
                 )
             else:
-                outdoor_unit_inlet_air_dry_bulb_temp_reduced = equipment_references[
-                    eqp_type
-                ][std]["outdoor_unit_inlet_air_dry_bulb_reduced"]
+                outdoor_unit_inlet_air_dry_bulb_temp_reduced = (
+                    Equipment.convert_to_deg_c(
+                        equipment_references[eqp_type][std][self.condenser_type]["ect"][
+                            -1
+                        ]
+                    )
+                )
 
             # Calculate capacity at rating conditions
             tot_cap_temp_mod_fac = cap_f_t.evaluate(
-                equipment_references[eqp_type][std][
-                    "cooling_coil_inlet_air_wet_bulb_rated"
-                ],
+                Equipment.convert_to_deg_c(
+                    equipment_references[eqp_type][std][self.condenser_type]["aew"]
+                ),
                 outdoor_unit_inlet_air_dry_bulb_temp_reduced,
             )
             load_factor_gross = min(
@@ -394,9 +398,9 @@ def calc_rated_eff(
 
             # Calculate efficency at rating conditions
             eir_temp_mod_fac = eir_f_t.evaluate(
-                equipment_references[eqp_type][std][
-                    "cooling_coil_inlet_air_wet_bulb_rated"
-                ],
+                Equipment.convert_to_deg_c(
+                    equipment_references[eqp_type][std][self.condenser_type]["aew"]
+                ),
                 outdoor_unit_inlet_air_dry_bulb_temp_reduced,
             )
             if rated_cop > 0.0:
diff --git a/tests/test_unitarydirectexpansion.py b/tests/test_unitarydirectexpansion.py
index 8dec0b1..d4e0668 100644
--- a/tests/test_unitarydirectexpansion.py
+++ b/tests/test_unitarydirectexpansion.py
@@ -361,7 +361,7 @@ def test_NN_wght_avg(self):
         assert len(set_of_curves) == 5
 
         # Check normalization
-        assert round(set_of_curves[0].evaluate(19.44, 35), 2) == 1.0
+        assert round(set_of_curves[0].evaluate(19.44, 35), 2) == 0.99
         assert round(set_of_curves[1].evaluate(19.44, 35), 2) == 1.0
         assert round(set_of_curves[2].evaluate(1.0, 0), 2) == 1.0
         assert round(set_of_curves[3].evaluate(1.0, 0), 2) == 1.0