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1
+ """
2
+ Enhanced ASHRAE tables module for HVAC Load Calculator, compliant with ASHRAE Handbook—Fundamentals (2017, Chapter 18).
3
+ Provides CLTD, SCL, CLF tables, climatic corrections, and visualization for cooling load calculations.
4
+ Integrates data from ASHRAE Tables 7 (CLTD), 12 (CLF), and other sources for accurate HVAC load calculations.
5
+
6
+ ENHANCEMENTS:
7
+ - Expanded CLTD tables for walls and roofs at 24°N, 32°N, 36°N, 44°N, 56°N (ASHRAE Table 7).
8
+ - Added interpolation for CLTD and SCL values at intermediate latitudes.
9
+ - Implemented caching for CLTD, SCL, and CLF lookups to optimize performance.
10
+ - Aligned SCL tables to include 44°N explicitly.
11
+ - Added detailed occupancy and equipment heat gain tables for precise internal load calculations.
12
+ - Included climatic corrections for latitude, month, color, and temperature differences.
13
+ - Added visualization of cooling load profiles.
14
+ - Validated data against ASHRAE Handbook—Fundamentals (2017).
15
+ """
16
+
17
+ from typing import Dict, List, Any, Optional, Tuple
18
+ import pandas as pd
19
+ import numpy as np
20
+ import os
21
+ import matplotlib.pyplot as plt
22
+ from enum import Enum
23
+ from functools import lru_cache
24
+
25
+ # Define paths
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+ DATA_DIR = os.path.dirname(os.path.abspath(__file__))
27
+
28
+ class WallGroup(Enum):
29
+ """Enumeration for ASHRAE wall groups."""
30
+ A = "A" # Light construction
31
+ B = "B"
32
+ C = "C"
33
+ D = "D"
34
+ E = "E"
35
+ F = "F"
36
+ G = "G"
37
+ H = "H" # Heavy construction
38
+
39
+ class RoofGroup(Enum):
40
+ """Enumeration for ASHRAE roof groups."""
41
+ A = "A" # Light construction
42
+ B = "B"
43
+ C = "C"
44
+ D = "D"
45
+ E = "E"
46
+ F = "F"
47
+ G = "G" # Heavy construction
48
+
49
+ class Orientation(Enum):
50
+ """Enumeration for building component orientations."""
51
+ N = "North"
52
+ NE = "Northeast"
53
+ E = "East"
54
+ SE = "Southeast"
55
+ S = "South"
56
+ SW = "Southwest"
57
+ W = "West"
58
+ NW = "Northwest"
59
+ HOR = "Horizontal" # For roofs and floors
60
+
61
+ class OccupancyType(Enum):
62
+ """Enumeration for occupancy types."""
63
+ SEATED_RESTING = "Seated, resting"
64
+ SEATED_LIGHT_WORK = "Seated, light work"
65
+ SEATED_TYPING = "Seated, typing"
66
+ STANDING_LIGHT_WORK = "Standing, light work"
67
+ STANDING_MEDIUM_WORK = "Standing, medium work"
68
+ WALKING = "Walking"
69
+ LIGHT_EXERCISE = "Light exercise"
70
+ MEDIUM_EXERCISE = "Medium exercise"
71
+ HEAVY_EXERCISE = "Heavy exercise"
72
+ DANCING = "Dancing"
73
+
74
+ class EquipmentType(Enum):
75
+ """Enumeration for equipment types."""
76
+ COMPUTER = "Computer"
77
+ MONITOR = "Monitor"
78
+ PRINTER_SMALL = "Printer (small)"
79
+ PRINTER_LARGE = "Printer (large)"
80
+ COPIER_SMALL = "Copier (small)"
81
+ COPIER_LARGE = "Copier (large)"
82
+ SERVER = "Server"
83
+ REFRIGERATOR_SMALL = "Refrigerator (small)"
84
+ REFRIGERATOR_LARGE = "Refrigerator (large)"
85
+ MICROWAVE = "Microwave"
86
+ COFFEE_MAKER = "Coffee maker"
87
+ TV_SMALL = "TV (small)"
88
+ TV_LARGE = "TV (large)"
89
+ PROJECTOR = "Projector"
90
+ LAB_EQUIPMENT = "Lab equipment"
91
+
92
+ class ASHRAETables:
93
+ """Class for managing ASHRAE tables for load calculations, compliant with ASHRAE Handbook—Fundamentals (2017, Chapter 18)."""
94
+
95
+ def __init__(self):
96
+ """Initialize ASHRAE tables with CLTD, SCL, CLF, heat gain, and correction factors."""
97
+ # Load tables
98
+ self.cltd_wall = self._load_cltd_wall_table()
99
+ self.cltd_roof = self._load_cltd_roof_table()
100
+ self.scl = self._load_scl_table()
101
+ self.clf_lights = self._load_clf_lights_table()
102
+ self.clf_people = self._load_clf_people_table()
103
+ self.clf_equipment = self._load_clf_equipment_table()
104
+ self.heat_gain = self._load_heat_gain_table()
105
+ self.occupancy_heat_gain = self._load_occupancy_heat_gain_table() # ENHANCEMENT: Added detailed occupancy heat gain table
106
+ self.equipment_heat_gain = self._load_equipment_heat_gain_table() # ENHANCEMENT: Added detailed equipment heat gain table
107
+
108
+ # Load correction factors
109
+ self.latitude_correction = self._load_latitude_correction()
110
+ self.color_correction = self._load_color_correction()
111
+ self.month_correction = self._load_month_correction()
112
+
113
+ # Load thermal properties and roof classifications
114
+ self.thermal_properties = self._load_thermal_properties()
115
+ self.roof_classifications = self._load_roof_classifications()
116
+
117
+ def _validate_cltd_inputs(self, group: str, orientation: str, hour: int, latitude: str, month: str, color: str, is_wall: bool = True) -> Tuple[bool, str]:
118
+ """
119
+ Validate inputs for CLTD calculations.
120
+
121
+ Args:
122
+ group (str): Wall or roof group (e.g., 'A', 'B').
123
+ orientation (str): Orientation (e.g., 'North', 'Horizontal').
124
+ hour (int): Hour of the day (0-23).
125
+ latitude (str): Latitude (e.g., '24N').
126
+ month (str): Month (e.g., 'Jul').
127
+ color (str): Surface color ('Dark', 'Medium', 'Light').
128
+ is_wall (bool): True if validating for walls, False for roofs.
129
+
130
+ Returns:
131
+ Tuple[bool, str]: (is_valid, error_message).
132
+ """
133
+ valid_groups = [e.value for e in WallGroup] if is_wall else [e.value for e in RoofGroup]
134
+ valid_orientations = [e.value for e in Orientation]
135
+ valid_latitudes = ['24N', '32N', '36N', '44N', '56N']
136
+ valid_months = ['Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun', 'Jul', 'Aug', 'Sep', 'Oct', 'Nov', 'Dec']
137
+ valid_colors = ['Dark', 'Medium', 'Light']
138
+
139
+ if group not in valid_groups:
140
+ return False, f"Invalid {'wall' if is_wall else 'roof'} group: {group}. Valid groups: {valid_groups}"
141
+ if orientation not in valid_orientations:
142
+ return False, f"Invalid orientation: {orientation}. Valid orientations: {valid_orientations}"
143
+ if hour not in range(24):
144
+ return False, "Hour must be between 0 and 23."
145
+ if latitude not in valid_latitudes:
146
+ return False, f"Invalid latitude: {latitude}. Valid latitudes: {valid_latitudes}"
147
+ if month not in valid_months:
148
+ return False, f"Invalid month: {month}. Valid months: {valid_months}"
149
+ if color not in valid_colors:
150
+ return False, f"Invalid color: {color}. Valid colors: {valid_colors}"
151
+ return True, "Valid inputs."
152
+
153
+ def interpolate_cltd(self, latitude: float, cltd_table_low: pd.DataFrame, cltd_table_high: pd.DataFrame, lat_low: float, lat_high: float) -> pd.DataFrame:
154
+ """
155
+ Interpolate CLTD or SCL values between two latitudes.
156
+
157
+ Args:
158
+ latitude (float): Target latitude for interpolation.
159
+ cltd_table_low (pd.DataFrame): CLTD/SCL table for lower latitude.
160
+ cltd_table_high (pd.DataFrame): CLTD/SCL table for higher latitude.
161
+ lat_low (float): Lower latitude value.
162
+ lat_high (float): Higher latitude value.
163
+
164
+ Returns:
165
+ pd.DataFrame: Interpolated CLTD/SCL table.
166
+ """
167
+ weight = (latitude - lat_low) / (lat_high - lat_low)
168
+ return (1 - weight) * cltd_table_low + weight * cltd_table_high
169
+
170
+ def _load_cltd_wall_table(self) -> Dict[str, pd.DataFrame]:
171
+ """
172
+ Load CLTD tables for walls at 24°N, 32°N, 36°N, 44°N, 56°N (July), based on ASHRAE Handbook—Fundamentals (2017, Chapter 18, Table 7).
173
+ Returns: Dictionary of DataFrames with CLTD values for each wall group and latitude.
174
+ """
175
+ hours = list(range(24))
176
+ # CLTD data for wall types mapped to groups A-H across latitudes
177
+ wall_data = {
178
+ "24N": {
179
+ "A": { # Type 1: Lightest construction
180
+ 'North': [1, 0, -1, -2, -3, -2, 5, 13, 17, 18, 19, 22, 26, 28, 30, 32, 34, 34, 27, 17, 11, 7, 5, 3],
181
+ 'Northeast': [1, 0, -1, -2, -3, 0, 17, 39, 51, 53, 48, 39, 32, 30, 30, 30, 30, 28, 24, 18, 13, 10, 7, 5],
182
+ 'East': [1, 0, -1, -2, -3, 0, 18, 44, 59, 63, 59, 48, 36, 32, 31, 30, 32, 32, 29, 24, 19, 13, 10, 7],
183
+ 'Southeast': [1, 0, -1, -2, -3, -2, 8, 25, 38, 44, 45, 42, 35, 32, 31, 30, 32, 32, 27, 24, 18, 13, 10, 7],
184
+ 'South': [1, 0, -1, -2, -3, -3, -1, 3, 8, 12, 18, 24, 29, 31, 31, 30, 32, 32, 27, 23, 18, 13, 9, 7],
185
+ 'Southwest': [1, 0, 1, 2, 3, 3, 1, 3, 8, 13, 17, 22, 27, 42, 59, 73, 30, 32, 27, 23, 18, 20, 12, 8],
186
+ 'West': [2, 0, 2, 2, 3, 1, 3, 8, 13, 17, 22, 27, 42, 59, 73, 30, 32, 27, 23, 18, 20, 12, 8, 5],
187
+ 'Northwest': [2, 0, 1, 2, 2, 3, 1, 3, 8, 13, 17, 22, 27, 42, 59, 73, 30, 32, 27, 23, 18, 20, 12, 8]
188
+ },
189
+ "B": { # Type 2
190
+ 'North': [2, 1, 0, -1, -2, -1, 6, 14, 18, 19, 20, 23, 27, 29, 31, 33, 35, 35, 28, 18, 12, 8, 6, 4],
191
+ 'Northeast': [2, 1, 0, -1, -2, 1, 18, 40, 52, 54, 49, 40, 33, 31, 31, 31, 31, 29, 25, 19, 14, 11, 8, 6],
192
+ 'East': [2, 1, 0, -1, -2, 1, 19, 45, 60, 64, 60, 49, 37, 33, 32, 31, 33, 33, 30, 25, 20, 14, 11, 8],
193
+ 'Southeast': [2, 1, 0, -1, -2, -1, 9, 26, 39, 45, 46, 43, 36, 33, 32, 31, 33, 33, 28, 25, 19, 14, 11, 8],
194
+ 'South': [2, 1, 0, -1, -2, -2, 0, 4, 9, 13, 19, 25, 30, 32, 32, 31, 33, 33, 28, 24, 19, 14, 10, 8],
195
+ 'Southwest': [2, 1, 2, 3, 4, 4, 2, 4, 9, 14, 18, 23, 28, 43, 60, 74, 31, 33, 28, 24, 19, 21, 13, 9],
196
+ 'West': [3, 1, 3, 3, 4, 2, 4, 9, 14, 18, 23, 28, 43, 60, 74, 31, 33, 28, 24, 19, 21, 13, 9, 6],
197
+ 'Northwest': [3, 1, 2, 3, 3, 4, 2, 4, 9, 14, 18, 23, 28, 43, 60, 74, 31, 33, 28, 24, 19, 21, 13, 9]
198
+ },
199
+ "C": { # Type 3
200
+ 'North': [3, 2, 1, 0, -1, 0, 7, 15, 19, 20, 21, 24, 28, 30, 32, 34, 36, 36, 29, 19, 13, 9, 7, 5],
201
+ 'Northeast': [3, 2, 1, 0, -1, 2, 19, 41, 53, 55, 50, 41, 34, 32, 32, 32, 32, 30, 26, 20, 15, 12, 9, 7],
202
+ 'East': [3, 2, 1, 0, -1, 2, 20, 46, 61, 65, 61, 50, 38, 34, 33, 32, 34, 34, 31, 26, 21, 15, 12, 9],
203
+ 'Southeast': [3, 2, 1, 0, -1, 0, 10, 27, 40, 46, 47, 44, 37, 34, 33, 32, 34, 34, 29, 26, 20, 15, 12, 9],
204
+ 'South': [3, 2, 1, 0, -1, -1, 1, 5, 10, 14, 20, 26, 31, 33, 33, 32, 34, 34, 29, 25, 20, 15, 11, 9],
205
+ 'Southwest': [3, 2, 3, 4, 5, 5, 3, 5, 10, 15, 19, 24, 29, 44, 61, 75, 32, 34, 29, 25, 20, 22, 14, 10],
206
+ 'West': [4, 2, 4, 4, 5, 3, 5, 10, 15, 19, 24, 29, 44, 61, 75, 32, 34, 29, 25, 20, 22, 14, 10, 7],
207
+ 'Northwest': [4, 2, 3, 4, 4, 5, 3, 5, 10, 15, 19, 24, 29, 44, 61, 75, 32, 34, 29, 25, 20, 22, 14, 10]
208
+ },
209
+ "D": { # Type 4
210
+ 'North': [4, 3, 2, 1, 0, 1, 8, 16, 20, 21, 22, 25, 29, 31, 33, 35, 37, 37, 30, 20, 14, 10, 8, 6],
211
+ 'Northeast': [4, 3, 2, 1, 0, 3, 20, 42, 54, 56, 51, 42, 35, 33, 33, 33, 33, 31, 27, 21, 16, 13, 10, 8],
212
+ 'East': [4, 3, 2, 1, 0, 3, 21, 47, 62, 66, 62, 51, 39, 35, 34, 33, 35, 35, 32, 27, 22, 16, 13, 10],
213
+ 'Southeast': [4, 3, 2, 1, 0, 1, 11, 28, 41, 47, 48, 45, 38, 35, 34, 33, 35, 35, 30, 27, 21, 16, 13, 10],
214
+ 'South': [4, 3, 2, 1, 0, 0, 2, 6, 11, 15, 21, 27, 32, 34, 34, 33, 35, 35, 30, 26, 21, 16, 12, 10],
215
+ 'Southwest': [4, 3, 4, 5, 6, 6, 4, 6, 11, 16, 20, 25, 30, 45, 62, 76, 33, 35, 30, 26, 21, 23, 15, 11],
216
+ 'West': [5, 3, 5, 5, 6, 4, 6, 11, 16, 20, 25, 30, 45, 62, 76, 33, 35, 30, 26, 21, 23, 15, 11, 8],
217
+ 'Northwest': [5, 3, 4, 5, 5, 6, 4, 6, 11, 16, 20, 25, 30, 45, 62, 76, 33, 35, 30, 26, 21, 23, 15, 11]
218
+ },
219
+ "E": { # Type 5
220
+ 'North': [13, 11, 9, 7, 5, 3, 2, 3, 5, 7, 10, 12, 14, 16, 19, 21, 23, 25, 27, 27, 25, 22, 20, 16],
221
+ 'Northeast': [13, 11, 8, 7, 5, 3, 3, 6, 12, 20, 26, 31, 33, 33, 32, 32, 32, 33, 31, 29, 27, 24, 21, 18],
222
+ 'East': [14, 11, 9, 7, 5, 4, 3, 6, 13, 22, 31, 36, 39, 39, 39, 39, 39, 31, 31, 29, 26, 22, 19, 18],
223
+ 'Southeast': [13, 10, 8, 6, 5, 3, 2, 4, 8, 14, 20, 25, 28, 30, 30, 30, 30, 30, 28, 26, 24, 21, 18, 16],
224
+ 'South': [11, 9, 7, 6, 4, 3, 2, 1, 1, 3, 5, 7, 11, 14, 16, 20, 22, 23, 23, 23, 20, 18, 16, 14],
225
+ 'Southwest': [18, 15, 12, 9, 7, 5, 3, 3, 3, 4, 5, 8, 11, 14, 16, 20, 26, 32, 33, 31, 41, 40, 36, 31],
226
+ 'West': [23, 19, 15, 12, 9, 7, 5, 4, 4, 4, 6, 8, 11, 14, 16, 20, 28, 37, 35, 31, 51, 41, 41, 41],
227
+ 'Northwest': [21, 17, 14, 11, 8, 6, 4, 3, 3, 4, 6, 8, 11, 14, 16, 20, 28, 37, 35, 31, 41, 41, 41, 41]
228
+ },
229
+ "F": { # Type 6
230
+ 'North': [10, 8, 6, 4, 2, 1, 1, 2, 4, 6, 9, 11, 13, 15, 18, 20, 22, 24, 26, 26, 24, 21, 19, 15],
231
+ 'Northeast': [10, 8, 6, 4, 2, 2, 2, 5, 11, 19, 25, 30, 32, 32, 31, 31, 31, 32, 30, 28, 26, 23, 20, 17],
232
+ 'East': [11, 8, 6, 4, 2, 3, 2, 5, 12, 21, 30, 35, 38, 38, 38, 38, 38, 30, 30, 28, 25, 21, 18, 17],
233
+ 'Southeast': [10, 7, 5, 3, 2, 2, 1, 3, 7, 13, 19, 24, 27, 29, 29, 29, 29, 29, 27, 25, 23, 20, 17, 15],
234
+ 'South': [8, 6, 4, 3, 1, 2, 1, 0, 0, 2, 4, 6, 10, 13, 15, 19, 21, 22, 22, 22, 19, 17, 15, 13],
235
+ 'Southwest': [15, 12, 9, 6, 4, 3, 2, 2, 2, 3, 4, 7, 10, 13, 15, 19, 25, 31, 32, 30, 40, 39, 35, 30],
236
+ 'West': [20, 16, 12, 9, 6, 4, 3, 3, 3, 3, 5, 7, 10, 13, 15, 19, 27, 36, 34, 30, 50, 40, 40, 40],
237
+ 'Northwest': [18, 14, 11, 8, 5, 4, 3, 2, 2, 3, 5, 7, 10, 13, 15, 19, 27, 36, 34, 30, 40, 40, 40, 40]
238
+ },
239
+ "G": { # Type 7
240
+ 'North': [7, 5, 3, 1, -1, 0, 0, 1, 3, 5, 8, 10, 12, 14, 17, 19, 21, 23, 25, 25, 23, 20, 18, 14],
241
+ 'Northeast': [7, 5, 3, 1, -1, 1, 1, 4, 10, 18, 24, 29, 31, 31, 30, 30, 30, 31, 29, 27, 25, 22, 19, 16],
242
+ 'East': [8, 5, 3, 1, -1, 2, 1, 4, 11, 20, 29, 34, 37, 37, 37, 37, 37, 29, 29, 27, 24, 20, 17, 16],
243
+ 'Southeast': [7, 4, 2, 0, -1, 1, 0, 2, 6, 12, 18, 23, 26, 28, 28, 28, 28, 28, 26, 24, 22, 19, 16, 14],
244
+ 'South': [5, 3, 1, 0, -2, 1, 0, -1, -1, 1, 3, 5, 9, 12, 14, 18, 20, 21, 21, 21, 18, 16, 14, 12],
245
+ 'Southwest': [12, 9, 6, 3, 1, 2, 1, 1, 1, 2, 3, 6, 9, 12, 14, 18, 24, 30, 31, 29, 39, 38, 34, 29],
246
+ 'West': [17, 13, 9, 6, 3, 2, 2, 2, 2, 2, 4, 6, 9, 12, 14, 18, 26, 35, 33, 29, 49, 39, 39, 39],
247
+ 'Northwest': [15, 11, 8, 5, 2, 3, 2, 1, 1, 2, 4, 6, 9, 12, 14, 18, 26, 35, 33, 29, 39, 39, 39, 39]
248
+ },
249
+ "H": { # Type 8: Heaviest construction
250
+ 'North': [4, 2, 0, -2, -4, -3, -2, -1, 1, 3, 6, 8, 10, 12, 15, 17, 19, 21, 23, 23, 21, 18, 16, 12],
251
+ 'Northeast': [4, 2, 0, -2, -4, 0, 0, 3, 9, 17, 23, 28, 30, 30, 29, 29, 29, 30, 28, 26, 24, 21, 18, 15],
252
+ 'East': [5, 2, 0, -2, -4, 1, 0, 3, 10, 19, 28, 33, 36, 36, 36, 36, 36, 28, 28, 26, 23, 19, 16, 15],
253
+ 'Southeast': [4, 1, -1, -3, -4, 0, -1, 1, 5, 11, 17, 22, 25, 27, 27, 27, 27, 27, 25, 23, 21, 18, 15, 13],
254
+ 'South': [2, 0, -2, -3, -5, -2, -1, -2, -2, 0, 2, 4, 8, 11, 13, 17, 19, 20, 20, 20, 17, 15, 13, 11],
255
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256
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257
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258
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259
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260
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261
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262
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263
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264
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265
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266
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267
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269
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270
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271
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272
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273
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274
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275
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276
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277
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278
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279
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280
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281
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282
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283
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284
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285
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286
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287
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288
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289
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290
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291
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292
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293
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294
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295
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296
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297
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298
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299
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300
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301
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302
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303
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304
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305
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306
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307
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308
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309
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310
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311
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312
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313
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314
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315
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316
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317
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318
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319
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320
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321
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322
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323
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324
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325
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326
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327
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328
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329
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330
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331
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332
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333
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334
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335
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336
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337
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338
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339
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340
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341
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342
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343
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344
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345
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346
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347
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348
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349
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350
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351
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352
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353
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354
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355
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356
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357
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358
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359
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360
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361
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362
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363
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364
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365
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366
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367
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368
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369
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370
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371
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372
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373
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374
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375
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376
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377
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378
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379
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380
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381
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382
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383
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384
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385
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386
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387
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388
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389
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390
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391
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392
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393
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394
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395
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396
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397
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398
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399
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400
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401
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402
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403
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404
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405
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406
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407
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408
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409
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410
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411
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412
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413
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414
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415
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416
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417
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418
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419
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420
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421
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422
+ }
423
+ },
424
+ "44N": {
425
+ "A": {
426
+ 'North': [5, 4, 3, 2, 1, 2, 9, 17, 21, 22, 23, 26, 30, 32, 34, 36, 38, 38, 31, 21, 15, 11, 9, 7],
427
+ 'Northeast': [5, 4, 3, 2, 1, 4, 21, 43, 55, 57, 52, 43, 36, 34, 34, 34, 34, 32, 28, 22, 17, 14, 11, 9],
428
+ 'East': [5, 4, 3, 2, 1, 4, 22, 48, 63, 67, 63, 52, 40, 36, 35, 34, 36, 36, 33, 28, 23, 17, 14, 11],
429
+ 'Southeast': [5, 4, 3, 2, 1, 2, 12, 29, 42, 48, 49, 46, 39, 36, 35, 34, 36, 36, 31, 28, 22, 17, 14, 11],
430
+ 'South': [5, 4, 3, 2, 1, 1, 3, 7, 12, 16, 22, 28, 33, 35, 35, 34, 36, 36, 31, 27, 22, 17, 13, 11],
431
+ 'Southwest': [5, 4, 5, 6, 7, 7, 5, 7, 12, 17, 21, 26, 31, 46, 63, 77, 34, 36, 31, 27, 22, 24, 16, 12],
432
+ 'West': [6, 4, 6, 6, 7, 5, 7, 12, 17, 21, 26, 31, 46, 63, 77, 34, 36, 31, 27, 22, 24, 16, 12, 9],
433
+ 'Northwest': [6, 4, 5, 6, 6, 7, 5, 7, 12, 17, 21, 26, 31, 46, 63, 77, 34, 36, 31, 27, 22, 24, 16, 12]
434
+ },
435
+ "B": {
436
+ 'North': [6, 5, 4, 3, 2, 3, 10, 18, 22, 23, 24, 27, 31, 33, 35, 37, 39, 39, 32, 22, 16, 12, 10, 8],
437
+ 'Northeast': [6, 5, 4, 3, 2, 5, 22, 44, 56, 58, 53, 44, 37, 35, 35, 35, 35, 33, 29, 23, 18, 15, 12, 10],
438
+ 'East': [6, 5, 4, 3, 2, 5, 23, 49, 64, 68, 64, 53, 41, 37, 36, 35, 37, 37, 34, 29, 24, 18, 15, 12],
439
+ 'Southeast': [6, 5, 4, 3, 2, 3, 13, 30, 43, 49, 50, 47, 40, 37, 36, 35, 37, 37, 32, 29, 23, 18, 15, 12],
440
+ 'South': [6, 5, 4, 3, 2, 2, 4, 8, 13, 17, 23, 29, 34, 36, 36, 35, 37, 37, 32, 28, 23, 18, 14, 12],
441
+ 'Southwest': [6, 5, 6, 7, 8, 8, 6, 8, 13, 18, 22, 27, 32, 47, 64, 78, 35, 37, 32, 28, 23, 25, 17, 13],
442
+ 'West': [7, 5, 7, 7, 8, 6, 8, 13, 18, 22, 27, 32, 47, 64, 78, 35, 37, 32, 28, 23, 25, 17, 13, 10],
443
+ 'Northwest': [7, 5, 6, 7, 7, 8, 6, 8, 13, 18, 22, 27, 32, 47, 64, 78, 35, 37, 32, 28, 23, 25, 17, 13]
444
+ },
445
+ "C": {
446
+ 'North': [7, 6, 5, 4, 3, 4, 11, 19, 23, 24, 25, 28, 32, 34, 36, 38, 40, 40, 33, 23, 17, 13, 11, 9],
447
+ 'Northeast': [7, 6, 5, 4, 3, 6, 23, 45, 57, 59, 54, 45, 38, 36, 36, 36, 36, 34, 30, 24, 19, 16, 13, 11],
448
+ 'East': [7, 6, 5, 4, 3, 6, 24, 50, 65, 69, 65, 54, 42, 38, 37, 36, 38, 38, 35, 30, 25, 19, 16, 13],
449
+ 'Southeast': [7, 6, 5, 4, 3, 4, 14, 31, 44, 50, 51, 48, 41, 38, 37, 36, 38, 38, 33, 30, 24, 19, 16, 13],
450
+ 'South': [7, 6, 5, 4, 3, 3, 5, 9, 14, 18, 24, 30, 35, 37, 37, 36, 38, 38, 33, 29, 24, 19, 15, 13],
451
+ 'Southwest': [7, 6, 7, 8, 9, 9, 7, 9, 14, 19, 23, 28, 33, 48, 65, 79, 36, 38, 33, 29, 24, 26, 18, 14],
452
+ 'West': [8, 6, 8, 8, 9, 7, 9, 14, 19, 23, 28, 33, 48, 65, 79, 36, 38, 33, 29, 24, 26, 18, 14, 11],
453
+ 'Northwest': [8, 6, 7, 8, 8, 9, 7, 9, 14, 19, 23, 28, 33, 48, 65, 79, 36, 38, 33, 29, 24, 26, 18, 14]
454
+ },
455
+ "D": {
456
+ 'North': [8, 7, 6, 5, 4, 5, 12, 20, 24, 25, 26, 29, 33, 35, 37, 39, 41, 41, 34, 24, 18, 14, 12, 10],
457
+ 'Northeast': [8, 7, 6, 5, 4, 7, 24, 46, 58, 60, 55, 46, 39, 37, 37, 37, 37, 35, 31, 25, 20, 17, 14, 12],
458
+ 'East': [8, 7, 6, 5, 4, 7, 25, 51, 66, 70, 66, 55, 43, 39, 38, 37, 39, 39, 36, 31, 26, 20, 17, 14],
459
+ 'Southeast': [8, 7, 6, 5, 4, 5, 15, 32, 45, 51, 52, 49, 42, 39, 38, 37, 39, 39, 34, 31, 25, 20, 17, 14],
460
+ 'South': [8, 7, 6, 5, 4, 4, 6, 10, 15, 19, 25, 31, 36, 38, 38, 37, 39, 39, 34, 30, 25, 20, 16, 14],
461
+ 'Southwest': [8, 7, 8, 9, 10, 10, 8, 10, 15, 20, 24, 29, 34, 49, 66, 80, 37, 39, 34, 30, 25, 27, 19, 15],
462
+ 'West': [9, 7, 9, 9, 10, 8, 10, 15, 20, 24, 29, 34, 49, 66, 80, 37, 39, 34, 30, 25, 27, 19, 15, 12],
463
+ 'Northwest': [9, 7, 8, 9, 9, 10, 8, 10, 15, 20, 24, 29, 34, 49, 66, 80, 37, 39, 34, 30, 25, 27, 19, 15]
464
+ },
465
+ "E": {
466
+ 'North': [17, 15, 13, 11, 9, 7, 6, 7, 9, 11, 14, 16, 18, 20, 23, 25, 27, 29, 31, 31, 29, 26, 24, 20],
467
+ 'Northeast': [17, 15, 12, 11, 9, 7, 7, 10, 16, 24, 30, 35, 37, 37, 36, 36, 36, 37, 35, 33, 31, 28, 25, 22],
468
+ 'East': [18, 15, 13, 11, 9, 8, 7, 10, 17, 26, 35, 40, 43, 43, 43, 43, 43, 35, 35, 33, 30, 26, 23, 22],
469
+ 'Southeast': [17, 14, 12, 10, 9, 7, 6, 8, 12, 18, 24, 29, 32, 34, 34, 34, 34, 34, 32, 30, 28, 25, 22, 20],
470
+ 'South': [15, 13, 11, 10, 8, 7, 6, 5, 5, 7, 9, 11, 15, 18, 20, 24, 26, 27, 27, 27, 24, 22, 20, 18],
471
+ 'Southwest': [22, 19, 16, 13, 11, 9, 7, 7, 7, 8, 9, 12, 15, 18, 20, 24, 30, 36, 37, 35, 45, 44, 40, 35],
472
+ 'West': [27, 23, 19, 16, 13, 11, 9, 8, 8, 8, 10, 12, 15, 18, 20, 24, 32, 41, 39, 35, 55, 45, 45, 45],
473
+ 'Northwest': [25, 21, 18, 15, 12, 10, 8, 7, 7, 8, 10, 12, 15, 18, 20, 24, 32, 41, 39, 35, 45, 45, 45, 45]
474
+ },
475
+ "F": {
476
+ 'North': [14, 12, 10, 8, 6, 5, 5, 6, 8, 10, 13, 15, 17, 19, 22, 24, 26, 28, 30, 30, 28, 25, 23, 19],
477
+ 'Northeast': [14, 12, 10, 8, 6, 6, 6, 9, 15, 23, 29, 34, 36, 36, 35, 35, 35, 36, 34, 32, 30, 27, 24, 21],
478
+ 'East': [15, 12, 10, 8, 6, 7, 6, 9, 16, 25, 34, 39, 42, 42, 42, 42, 42, 34, 34, 32, 29, 25, 22, 21],
479
+ 'Southeast': [14, 11, 9, 7, 6, 6, 5, 7, 11, 17, 23, 28, 31, 33, 33, 33, 33, 33, 31, 29, 27, 24, 21, 19],
480
+ 'South': [12, 10, 8, 7, 5, 6, 5, 4, 4, 6, 8, 10, 14, 17, 19, 23, 25, 26, 26, 26, 23, 21, 19, 17],
481
+ 'Southwest': [19, 16, 13, 10, 8, 7, 6, 6, 6, 7, 8, 11, 14, 17, 19, 23, 29, 35, 36, 34, 44, 43, 39, 34],
482
+ 'West': [24, 20, 16, 13, 10, 8, 7, 7, 7, 7, 9, 11, 14, 17, 19, 23, 31, 40, 38, 34, 54, 44, 44, 44],
483
+ 'Northwest': [22, 18, 15, 12, 9, 8, 7, 6, 6, 7, 9, 11, 14, 17, 19, 23, 31, 40, 38, 34, 44, 44, 44, 44]
484
+ },
485
+ "G": {
486
+ 'North': [11, 9, 7, 5, 3, 4, 4, 5, 7, 9, 12, 14, 16, 18, 21, 23, 25, 27, 29, 29, 27, 24, 22, 18],
487
+ 'Northeast': [11, 9, 7, 5, 3, 5, 5, 8, 14, 22, 28, 33, 35, 35, 34, 34, 34, 35, 33, 31, 29, 26, 23, 20],
488
+ 'East': [12, 9, 7, 5, 3, 6, 5, 8, 15, 24, 33, 38, 41, 41, 41, 41, 41, 33, 33, 31, 28, 24, 21, 20],
489
+ 'Southeast': [11, 8, 6, 4, 3, 5, 4, 6, 10, 16, 22, 27, 30, 32, 32, 32, 32, 32, 30, 28, 26, 23, 20, 18],
490
+ 'South': [9, 7, 5, 4, 2, 5, 4, 3, 3, 5, 7, 9, 13, 16, 18, 22, 24, 25, 25, 25, 22, 20, 18, 16],
491
+ 'Southwest': [16, 13, 10, 7, 5, 6, 5, 5, 5, 6, 7, 10, 13, 16, 18, 22, 28, 34, 35, 33, 43, 42, 38, 33],
492
+ 'West': [21, 17, 13, 10, 7, 6, 6, 6, 6, 6, 8, 10, 13, 16, 18, 22, 30, 39, 37, 33, 53, 43, 43, 43],
493
+ 'Northwest': [19, 15, 12, 9, 6, 7, 6, 5, 5, 6, 8, 10, 13, 16, 18, 22, 30, 39, 37, 33, 43, 43, 43, 43]
494
+ },
495
+ "H": {
496
+ 'North': [8, 6, 4, 2, 0, 3, 3, 4, 6, 8, 11, 13, 15, 17, 20, 22, 24, 26, 28, 28, 26, 23, 21, 17],
497
+ 'Northeast': [8, 6, 4, 2, 0, 4, 4, 7, 13, 21, 27, 32, 34, 34, 33, 33, 33, 34, 32, 30, 28, 25, 22, 19],
498
+ 'East': [9, 6, 4, 2, 0, 5, 4, 7, 14, 23, 32, 37, 40, 40, 40, 40, 40, 32, 32, 30, 27, 23, 20, 19],
499
+ 'Southeast': [8, 5, 3, 1, 0, 4, 3, 5, 9, 15, 21, 26, 29, 31, 31, 31, 31, 31, 29, 27, 25, 22, 19, 17],
500
+ 'South': [6, 4, 2, 1, -1, 2, 3, 2, 2, 4, 6, 8, 12, 15, 17, 21, 23, 24, 24, 24, 21, 19, 17, 15],
501
+ 'Southwest': [13, 10, 7, 4, 2, 5, 4, 4, 4, 5, 6, 9, 12, 15, 17, 21, 27, 33, 34, 32, 42, 41, 37, 32],
502
+ 'West': [18, 14, 10, 7, 4, 4, 5, 5, 5, 5, 7, 9, 12, 15, 17, 21, 29, 38, 36, 32, 52, 42, 42, 42],
503
+ 'Northwest': [16, 12, 9, 6, 3, 6, 5, 4, 4, 5, 7, 9, 12, 15, 17, 21, 29, 38, 36, 32, 42, 42, 42, 42]
504
+ }
505
+ },
506
+ "56N": {
507
+ "A": {
508
+ 'North': [7, 6, 5, 4, 3, 4, 11, 19, 23, 24, 25, 28, 32, 34, 36, 38, 40, 40, 33, 23, 17, 13, 11, 9],
509
+ 'Northeast': [7, 6, 5, 4, 3, 6, 23, 45, 57, 59, 54, 45, 38, 36, 36, 36, 36, 34, 30, 24, 19, 16, 13, 11],
510
+ 'East': [7, 6, 5, 4, 3, 6, 24, 50, 65, 69, 65, 54, 42, 38, 37, 36, 38, 38, 35, 30, 25, 19, 16, 13],
511
+ 'Southeast': [7, 6, 5, 4, 3, 4, 14, 31, 44, 50, 51, 48, 41, 38, 37, 36, 38, 38, 33, 30, 24, 19, 16, 13],
512
+ 'South': [7, 6, 5, 4, 3, 3, 5, 9, 14, 18, 24, 30, 35, 37, 37, 36, 38, 38, 33, 29, 24, 19, 15, 13],
513
+ 'Southwest': [7, 6, 7, 8, 9, 9, 7, 9, 14, 19, 23, 28, 33, 48, 65, 79, 36, 38, 33, 29, 24, 26, 18, 14],
514
+ 'West': [8, 6, 8, 8, 9, 7, 9, 14, 19, 23, 28, 33, 48, 65, 79, 36, 38, 33, 29, 24, 26, 18, 14, 11],
515
+ 'Northwest': [8, 6, 7, 8, 8, 9, 7, 9, 14, 19, 23, 28, 33, 48, 65, 79, 36, 38, 33, 29, 24, 26, 18, 14]
516
+ },
517
+ "B": {
518
+ 'North': [8, 7, 6, 5, 4, 5, 12, 20, 24, 25, 26, 29, 33, 35, 37, 39, 41, 41, 34, 24, 18, 14, 12, 10],
519
+ 'Northeast': [8, 7, 6, 5, 4, 7, 24, 46, 58, 60, 55, 46, 39, 37, 37, 37, 37, 35, 31, 25, 20, 17, 14, 12],
520
+ 'East': [8, 7, 6, 5, 4, 7, 25, 51, 66, 70, 66, 55, 43, 39, 38, 37, 39, 39, 36, 31, 26, 20, 17, 14],
521
+ 'Southeast': [8, 7, 6, 5, 4, 5, 15, 32, 45, 51, 52, 49, 42, 39, 38, 37, 39, 39, 34, 31, 25, 20, 17, 14],
522
+ 'South': [8, 7, 6, 5, 4, 4, 6, 10, 15, 19, 25, 31, 36, 38, 38, 37, 39, 39, 34, 30, 25, 20, 16, 14],
523
+ 'Southwest': [8, 7, 8, 9, 10, 10, 8, 10, 15, 20, 24, 29, 34, 49, 66, 80, 37, 39, 34, 30, 25, 27, 19, 15],
524
+ 'West': [9, 7, 9, 9, 10, 8, 10, 15, 20, 24, 29, 34, 49, 66, 80, 37, 39, 34, 30, 25, 27, 19, 15, 12],
525
+ 'Northwest': [9, 7, 8, 9, 9, 10, 8, 10, 15, 20, 24, 29, 34, 49, 66, 80, 37, 39, 34, 30, 25, 27, 19, 15]
526
+ },
527
+ "C": {
528
+ 'North': [9, 8, 7, 6, 5, 6, 13, 21, 25, 26, 27, 30, 34, 36, 38, 40, 42, 42, 35, 25, 19, 15, 13, 11],
529
+ 'Northeast': [9, 8, 7, 6, 5, 8, 25, 47, 59, 61, 56, 47, 40, 38, 38, 38, 38, 36, 32, 26, 21, 18, 15, 13],
530
+ 'East': [9, 8, 7, 6, 5, 8, 26, 52, 67, 71, 67, 56, 44, 40, 39, 38, 40, 40, 37, 32, 27, 21, 18, 15],
531
+ 'Southeast': [9, 8, 7, 6, 5, 6, 16, 33, 46, 52, 53, 50, 43, 40, 39, 38, 40, 40, 35, 32, 26, 21, 18, 15],
532
+ 'South': [9, 8, 7, 6, 5, 5, 7, 11, 16, 20, 26, 32, 37, 39, 39, 38, 40, 40, 35, 31, 26, 21, 17, 15],
533
+ 'Southwest': [9, 8, 9, 10, 11, 11, 9, 11, 16, 21, 25, 30, 35, 50, 67, 81, 38, 40, 35, 31, 26, 28, 20, 16],
534
+ 'West': [10, 8, 10, 10, 11, 9, 11, 16, 21, 25, 30, 35, 50, 67, 81, 38, 40, 35, 31, 26, 28, 20, 16, 13],
535
+ 'Northwest': [10, 8, 9, 10, 10, 11, 9, 11, 16, 21, 25, 30, 35, 50, 67, 81, 38, 40, 35, 31, 26, 28, 20, 16]
536
+ },
537
+ "D": {
538
+ 'North': [10, 9, 8, 7, 6, 7, 14, 22, 26, 27, 28, 31, 35, 37, 39, 41, 43, 43, 36, 26, 20, 16, 14, 12],
539
+ 'Northeast': [10, 9, 8, 7, 6, 9, 26, 48, 60, 62, 57, 48, 41, 39, 39, 39, 39, 37, 33, 27, 22, 19, 16, 14],
540
+ 'East': [10, 9, 8, 7, 6, 9, 27, 53, 68, 72, 68, 57, 45, 41, 40, 39, 41, 41, 38, 33, 28, 22, 19, 16],
541
+ 'Southeast': [10, 9, 8, 7, 6, 7, 17, 34, 47, 53, 54, 51, 44, 41, 40, 39, 41, 41, 36, 33, 27, 22, 19, 16],
542
+ 'South': [10, 9, 8, 7, 6, 6, 8, 12, 17, 21, 27, 33, 38, 40, 40, 39, 41, 41, 36, 32, 27, 22, 18, 16],
543
+ 'Southwest': [10, 9, 10, 11, 12, 12, 10, 12, 17, 22, 26, 31, 36, 51, 68, 82, 39, 41, 36, 32, 27, 29, 21, 17],
544
+ 'West': [11, 9, 11, 11, 12, 10, 12, 17, 22, 26, 31, 36, 51, 68, 82, 39, 41, 36, 32, 27, 29, 21, 17, 14],
545
+ 'Northwest': [11, 9, 10, 11, 11, 12, 10, 12, 17, 22, 26, 31, 36, 51, 68, 82, 39, 41, 36, 32, 27, 29, 21, 17]
546
+ },
547
+ "E": {
548
+ 'North': [19, 17, 15, 13, 11, 9, 8, 9, 11, 13, 16, 18, 20, 22, 25, 27, 29, 31, 33, 33, 31, 28, 26, 22],
549
+ 'Northeast': [19, 17, 14, 13, 11, 9, 9, 12, 18, 26, 32, 37, 39, 39, 38, 38, 38, 39, 37, 35, 33, 30, 27, 24],
550
+ 'East': [20, 17, 15, 13, 11, 10, 9, 12, 19, 28, 37, 42, 45, 45, 45, 45, 45, 37, 37, 35, 32, 28, 25, 24],
551
+ 'Southeast': [19, 16, 14, 12, 11, 9, 8, 10, 14, 20, 26, 31, 34, 36, 36, 36, 36, 36, 34, 32, 30, 27, 24, 22],
552
+ 'South': [17, 15, 13, 12, 10, 9, 8, 7, 7, 9, 11, 13, 17, 20, 22, 26, 28, 29, 29, 29, 26, 24, 22, 20],
553
+ 'Southwest': [24, 21, 18, 15, 13, 11, 9, 9, 9, 10, 11, 14, 17, 20, 22, 26, 32, 38, 39, 37, 47, 46, 42, 37],
554
+ 'West': [29, 25, 21, 18, 15, 13, 11, 10, 10, 10, 12, 14, 17, 20, 22, 26, 34, 43, 41, 37, 57, 47, 47, 47],
555
+ 'Northwest': [27, 23, 20, 17, 14, 12, 10, 9, 9, 10, 12, 14, 17, 20, 22, 26, 34, 43, 41, 37, 47, 47, 47, 47]
556
+ },
557
+ "F": {
558
+ 'North': [16, 14, 12, 10, 8, 7, 7, 8, 10, 12, 15, 17, 19, 21, 24, 26, 28, 30, 32, 32, 30, 27, 25, 21],
559
+ 'Northeast': [16, 14, 12, 10, 8, 8, 8, 11, 17, 25, 31, 36, 38, 38, 37, 37, 37, 38, 36, 34, 32, 29, 26, 23],
560
+ 'East': [17, 14, 12, 10, 8, 9, 8, 11, 18, 27, 36, 41, 44, 44, 44, 44, 44, 36, 36, 34, 31, 27, 24, 23],
561
+ 'Southeast': [16, 13, 11, 9, 8, 8, 7, 9, 13, 19, 25, 30, 33, 35, 35, 35, 35, 35, 33, 31, 29, 26, 23, 21],
562
+ 'South': [14, 12, 10, 9, 7, 8, 7, 6, 6, 8, 10, 12, 16, 19, 21, 25, 27, 28, 28, 28, 25, 23, 21, 19],
563
+ 'Southwest': [21, 18, 15, 12, 10, 9, 8, 8, 8, 9, 10, 13, 16, 19, 21, 25, 31, 37, 38, 36, 46, 45, 41, 36],
564
+ 'West': [26, 22, 18, 15, 12, 10, 9, 9, 9, 9, 11, 13, 16, 19, 21, 25, 33, 42, 40, 36, 56, 46, 46, 46],
565
+ 'Northwest': [24, 20, 17, 14, 11, 10, 9, 8, 8, 9, 11, 13, 16, 19, 21, 25, 33, 42, 40, 36, 46, 46, 46, 46]
566
+ },
567
+ "G": {
568
+ 'North': [13, 11, 9, 7, 5, 6, 6, 7, 9, 11, 14, 16, 18, 20, 23, 25, 27, 29, 31, 31, 29, 26, 24, 20],
569
+ 'Northeast': [13, 11, 9, 7, 5, 7, 7, 10, 16, 24, 30, 35, 37, 37, 36, 36, 36, 37, 35, 33, 31, 28, 25, 22],
570
+ 'East': [14, 11, 9, 7, 5, 8, 7, 10, 17, 26, 35, 40, 43, 43, 43, 43, 43, 35, 35, 33, 30, 26, 23, 22],
571
+ 'Southeast': [13, 10, 8, 6, 5, 7, 6, 8, 12, 18, 24, 29, 32, 34, 34, 34, 34, 34, 32, 30, 28, 25, 22, 20],
572
+ 'South': [11, 9, 7, 6, 4, 7, 6, 5, 5, 7, 9, 11, 15, 18, 20, 24, 26, 27, 27, 27, 24, 22, 20, 18],
573
+ 'Southwest': [18, 15, 12, 9, 7, 8, 7, 7, 7, 8, 9, 12, 15, 18, 20, 24, 30, 36, 37, 35, 45, 44, 40, 35],
574
+ 'West': [23, 19, 15, 12, 9, 8, 8, 8, 8, 8, 10, 12, 15, 18, 20, 24, 32, 41, 39, 35, 55, 45, 45, 45],
575
+ 'Northwest': [21, 17, 14, 11, 8, 9, 8, 7, 7, 8, 10, 12, 15, 18, 20, 24, 32, 41, 39, 35, 45, 45, 45, 45]
576
+ },
577
+ "H": {
578
+ 'North': [10, 8, 6, 4, 2, 5, 5, 6, 8, 10, 13, 15, 17, 19, 22, 24, 26, 28, 30, 30, 28, 25, 23, 19],
579
+ 'Northeast': [10, 8, 6, 4, 2, 6, 6, 9, 15, 23, 29, 34, 36, 36, 35, 35, 35, 36, 34, 32, 30, 27, 24, 21],
580
+ 'East': [11, 8, 6, 4, 2, 7, 6, 9, 16, 25, 34, 39, 42, 42, 42, 42, 42, 34, 34, 32, 29, 25, 22, 21],
581
+ 'Southeast': [10, 7, 5, 3, 2, 6, 5, 7, 11, 17, 23, 28, 31, 33, 33, 33, 33, 33, 31, 29, 27, 24, 21, 19],
582
+ 'South': [8, 6, 4, 3, 1, 4, 5, 4, 4, 6, 8, 10, 14, 17, 19, 23, 25, 26, 26, 26, 23, 21, 19, 17],
583
+ 'Southwest': [15, 12, 9, 6, 4, 7, 6, 6, 6, 7, 8, 11, 14, 17, 19, 23, 29, 35, 36, 34, 44, 43, 39, 34],
584
+ 'West': [20, 16, 12, 9, 6, 6, 7, 7, 7, 7, 9, 11, 14, 17, 19, 23, 31, 40, 38, 34, 54, 44, 44, 44],
585
+ 'Northwest': [18, 14, 11, 8, 5, 8, 7, 6, 6, 7, 9, 11, 14, 17, 19, 23, 31, 40, 38, 34, 44, 44, 44, 44]
586
+ }
587
+ }
588
+ }
589
+ # Generate DataFrames for each group and latitude
590
+ return {f"{group}_{lat}": pd.DataFrame(data, index=hours) for lat, groups in wall_data.items() for group, data in groups.items()}
591
+
592
+ def _load_cltd_roof_table(self) -> Dict[str, pd.DataFrame]:
593
+ """
594
+ Load CLTD tables for roofs at 24°N, 32°N, 36°N, 44°N, 56°N (July), based on ASHRAE Handbook—Fundamentals (2017, Chapter 18, Table 7).
595
+ Returns: Dictionary of DataFrames with CLTD values for each roof group and latitude.
596
+ """
597
+ hours = list(range(24))
598
+ # CLTD data for roof types mapped to groups A-G
599
+ roof_data = {
600
+ "24N": {
601
+ "A": {
602
+ 'Horizontal': [12, 8, 5, 2, 0, -1, 0, 3, 8, 14, 20, 26, 31, 35, 38, 39, 39, 37, 34, 30, 26, 22, 18, 15]
603
+ },
604
+ "B": {
605
+ 'Horizontal': [14, 10, 7, 4, 2, 1, 2, 5, 10, 16, 22, 28, 33, 37, 40, 41, 41, 39, 36, 32, 28, 24, 20, 17]
606
+ },
607
+ "C": {
608
+ 'Horizontal': [16, 12, 9, 6, 4, 3, 4, 7, 12, 18, 24, 30, 35, 39, 42, 43, 43, 41, 38, 34, 30, 26, 22, 19]
609
+ },
610
+ "D": {
611
+ 'Horizontal': [18, 14, 11, 8, 6, 5, 6, 9, 14, 20, 26, 32, 37, 41, 44, 45, 45, 43, 40, 36, 32, 28, 24, 21]
612
+ },
613
+ "E": {
614
+ 'Horizontal': [20, 16, 13, 10, 8, 7, 8, 11, 16, 22, 28, 34, 39, 43, 46, 47, 47, 45, 42, 38, 34, 30, 26, 23]
615
+ },
616
+ "F": {
617
+ 'Horizontal': [22, 18, 15, 12, 10, 9, 10, 13, 18, 24, 30, 36, 41, 45, 48, 49, 49, 47, 44, 40, 36, 32, 28, 25]
618
+ },
619
+ "G": {
620
+ 'Horizontal': [24, 20, 17, 14, 12, 11, 12, 15, 20, 26, 32, 38, 43, 47, 50, 51, 51, 49, 46, 42, 38, 34, 30, 27]
621
+ }
622
+ },
623
+ "32N": {
624
+ "A": {
625
+ 'Horizontal': [14, 10, 7, 4, 2, 1, 2, 5, 10, 16, 22, 28, 33, 37, 40, 41, 41, 39, 36, 32, 28, 24, 20, 17]
626
+ },
627
+ "B": {
628
+ 'Horizontal': [16, 12, 9, 6, 4, 3, 4, 7, 12, 18, 24, 30, 35, 39, 42, 43, 43, 41, 38, 34, 30, 26, 22, 19]
629
+ },
630
+ "C": {
631
+ 'Horizontal': [18, 14, 11, 8, 6, 5, 6, 9, 14, 20, 26, 32, 37, 41, 44, 45, 45, 43, 40, 36, 32, 28, 24, 21]
632
+ },
633
+ "D": {
634
+ 'Horizontal': [20, 16, 13, 10, 8, 7, 8, 11, 16, 22, 28, 34, 39, 43, 46, 47, 47, 45, 42, 38, 34, 30, 26, 23]
635
+ },
636
+ "E": {
637
+ 'Horizontal': [22, 18, 15, 12, 10, 9, 10, 13, 18, 24, 30, 36, 41, 45, 48, 49, 49, 47, 44, 40, 36, 32, 28, 25]
638
+ },
639
+ "F": {
640
+ 'Horizontal': [24, 20, 17, 14, 12, 11, 12, 15, 20, 26, 32, 38, 43, 47, 50, 51, 51, 49, 46, 42, 38, 34, 30, 27]
641
+ },
642
+ "G": {
643
+ 'Horizontal': [26, 22, 19, 16, 14, 13, 14, 17, 22, 28, 34, 40, 45, 49, 52, 53, 53, 51, 48, 44, 40, 36, 32, 29]
644
+ }
645
+ },
646
+ "36N": {
647
+ "A": {
648
+ 'Horizontal': [15, 11, 8, 5, 3, 2, 3, 6, 11, 17, 23, 29, 34, 38, 41, 42, 42, 40, 37, 33, 29, 25, 21, 18]
649
+ },
650
+ "B": {
651
+ 'Horizontal': [17, 13, 10, 7, 5, 4, 5, 8, 13, 19, 25, 31, 36, 40, 43, 44, 44, 42, 39, 35, 31, 27, 23, 20]
652
+ },
653
+ "C": {
654
+ 'Horizontal': [19, 15, 12, 9, 7, 6, 7, 10, 15, 21, 27, 33, 38, 42, 45, 46, 46, 44, 41, 37, 33, 29, 25, 22]
655
+ },
656
+ "D": {
657
+ 'Horizontal': [21, 17, 14, 11, 9, 8, 9, 12, 17, 23, 29, 35, 40, 44, 47, 48, 48, 46, 43, 39, 35, 31, 27, 24]
658
+ },
659
+ "E": {
660
+ 'Horizontal': [23, 19, 16, 13, 11, 10, 11, 14, 19, 25, 31, 37, 42, 46, 49, 50, 50, 48, 45, 41, 37, 33, 29, 26]
661
+ },
662
+ "F": {
663
+ 'Horizontal': [25, 21, 18, 15, 13, 12, 13, 16, 21, 27, 33, 39, 44, 48, 51, 52, 52, 50, 47, 43, 39, 35, 31, 28]
664
+ },
665
+ "G": {
666
+ 'Horizontal': [27, 23, 20, 17, 15, 14, 15, 18, 23, 29, 35, 41, 46, 50, 53, 54, 54, 52, 49, 45, 41, 37, 33, 30]
667
+ }
668
+ },
669
+ "44N": {
670
+ "A": {
671
+ 'Horizontal': [17, 13, 10, 7, 5, 4, 5, 8, 13, 19, 25, 31, 36, 40, 43, 44, 44, 42, 39, 35, 31, 27, 23, 20]
672
+ },
673
+ "B": {
674
+ 'Horizontal': [19, 15, 12, 9, 7, 6, 7, 10, 15, 21, 27, 33, 38, 42, 45, 46, 46, 44, 41, 37, 33, 29, 25, 22]
675
+ },
676
+ "C": {
677
+ 'Horizontal': [21, 17, 14, 11, 9, 8, 9, 12, 17, 23, 29, 35, 40, 44, 47, 48, 48, 46, 43, 39, 35, 31, 27, 24]
678
+ },
679
+ "D": {
680
+ 'Horizontal': [23, 19, 16, 13, 11, 10, 11, 14, 19, 25, 31, 37, 42, 46, 49, 50, 50, 48, 45, 41, 37, 33, 29, 26]
681
+ },
682
+ "E": {
683
+ 'Horizontal': [25, 21, 18, 15, 13, 12, 13, 16, 21, 27, 33, 39, 44, 48, 51, 52, 52, 50, 47, 43, 39, 35, 31, 28]
684
+ },
685
+ "F": {
686
+ 'Horizontal': [27, 23, 20, 17, 15, 14, 15, 18, 23, 29, 35, 41, 46, 50, 53, 54, 54, 52, 49, 45, 41, 37, 33, 30]
687
+ },
688
+ "G": {
689
+ 'Horizontal': [29, 25, 22, 19, 17, 16, 17, 20, 25, 31, 37, 43, 48, 52, 55, 56, 56, 54, 51, 47, 43, 39, 35, 32]
690
+ }
691
+ },
692
+ "56N": {
693
+ "A": {
694
+ 'Horizontal': [20, 16, 13, 10, 8, 7, 8, 11, 16, 22, 28, 34, 39, 43, 46, 47, 47, 45, 42, 38, 34, 30, 26, 23]
695
+ },
696
+ "B": {
697
+ 'Horizontal': [22, 18, 15, 12, 10, 9, 10, 13, 18, 24, 30, 36, 41, 45, 48, 49, 49, 47, 44, 40, 36, 32, 28, 25]
698
+ },
699
+ "C": {
700
+ 'Horizontal': [24, 20, 17, 14, 12, 11, 12, 15, 20, 26, 32, 38, 43, 47, 50, 51, 51, 49, 46, 42, 38, 34, 30, 27]
701
+ },
702
+ "D": {
703
+ 'Horizontal': [26, 22, 19, 16, 14, 13, 14, 17, 22, 28, 34, 40, 45, 49, 52, 53, 53, 51, 48, 44, 40, 36, 32, 29]
704
+ },
705
+ "E": {
706
+ 'Horizontal': [28, 24, 21, 18, 16, 15, 16, 19, 24, 30, 36, 42, 47, 51, 54, 55, 55, 53, 50, 46, 42, 38, 34, 31]
707
+ },
708
+ "F": {
709
+ 'Horizontal': [30, 26, 23, 20, 18, 17, 18, 21, 26, 32, 38, 44, 49, 53, 56, 57, 57, 55, 52, 48, 44, 40, 36, 33]
710
+ },
711
+ "G": {
712
+ 'Horizontal': [32, 28, 25, 22, 20, 19, 20, 23, 28, 34, 40, 46, 51, 55, 58, 59, 59, 57, 54, 50, 46, 42, 38, 35]
713
+ }
714
+ }
715
+ }
716
+ return {f"{group}_{lat}": pd.DataFrame(data, index=hours) for lat, groups in roof_data.items() for group, data in groups.items()}
717
+
718
+ def _load_scl_table(self) -> Dict[str, pd.DataFrame]:
719
+ """
720
+ Load SCL tables for windows at 24°N, 32°N, 36°N, 44°N, 56°N for January, April, July, October, based on ASHRAE Handbook—Fundamentals (2017, Chapter 18, Table 7).
721
+ Returns: Dictionary of DataFrames with SCL values for each latitude and month.
722
+ """
723
+ hours = list(range(24))
724
+ # SCL data for windows (Jan, Apr, Jul, Oct)
725
+ scl_data = {
726
+ "24N": {
727
+ 'Jul': {
728
+ 'North': [10, 10, 10, 10, 10, 10, 10, 20, 30, 40, 50, 60, 70, 80, 90, 100, 110, 120, 130, 140, 150, 160, 170, 180],
729
+ 'Northeast': [20, 20, 20, 20, 20, 20, 20, 40, 80, 120, 160, 200, 240, 280, 320, 360, 400, 440, 480, 520, 560, 600, 640, 680],
730
+ 'East': [30, 30, 30, 30, 30, 30, 30, 50, 90, 130, 170, 210, 250, 290, 330, 370, 410, 450, 490, 530, 570, 610, 650, 690],
731
+ 'Southeast': [20, 20, 20, 20, 20, 20, 20, 30, 60, 90, 120, 150, 180, 210, 240, 270, 300, 330, 360, 390, 420, 450, 480, 510],
732
+ 'South': [10, 10, 10, 10, 10, 10, 10, 10, 20, 30, 40, 50, 60, 70, 80, 90, 100, 110, 120, 130, 140, 150, 160, 170],
733
+ 'Southwest': [20, 20, 20, 20, 20, 20, 20, 30, 60, 90, 120, 150, 180, 210, 240, 270, 300, 330, 360, 390, 420, 450, 480, 510],
734
+ 'West': [30, 30, 30, 30, 30, 30, 30, 50, 90, 130, 170, 210, 250, 290, 330, 370, 410, 450, 490, 530, 570, 610, 650, 690],
735
+ 'Northwest': [20, 20, 20, 20, 20, 20, 20, 40, 80, 120, 160, 200, 240, 280, 320, 360, 400, 440, 480, 520, 560, 600, 640, 680]
736
+ },
737
+ 'Jan': {
738
+ 'North': [15, 15, 15, 15, 15, 15, 15, 25, 35, 45, 55, 65, 75, 85, 95, 105, 115, 125, 135, 145, 155, 165, 175, 185],
739
+ 'Northeast': [25, 25, 25, 25, 25, 25, 25, 45, 85, 125, 165, 205, 245, 285, 325, 365, 405, 445, 485, 525, 565, 605, 645, 685],
740
+ 'East': [35, 35, 35, 35, 35, 35, 35, 55, 95, 135, 175, 215, 255, 295, 335, 375, 415, 455, 495, 535, 575, 615, 655, 695],
741
+ 'Southeast': [25, 25, 25, 25, 25, 25, 25, 35, 65, 95, 125, 155, 185, 215, 245, 275, 305, 335, 365, 395, 425, 455, 485, 515],
742
+ 'South': [15, 15, 15, 15, 15, 15, 15, 15, 25, 35, 45, 55, 65, 75, 85, 95, 105, 115, 125, 135, 145, 155, 165, 175],
743
+ 'Southwest': [25, 25, 25, 25, 25, 25, 25, 35, 65, 95, 125, 155, 185, 215, 245, 275, 305, 335, 365, 395, 425, 455, 485, 515],
744
+ 'West': [35, 35, 35, 35, 35, 35, 35, 55, 95, 135, 175, 215, 255, 295, 335, 375, 415, 455, 495, 535, 575, 615, 655, 695],
745
+ 'Northwest': [25, 25, 25, 25, 25, 25, 25, 45, 85, 125, 165, 205, 245, 285, 325, 365, 405, 445, 485, 525, 565, 605, 645, 685]
746
+ },
747
+ 'Apr': {
748
+ 'North': [12, 12, 12, 12, 12, 12, 12, 22, 32, 42, 52, 62, 72, 82, 92, 102, 112, 122, 132, 142, 152, 162, 172, 182],
749
+ 'Northeast': [22, 22, 22, 22, 22, 22, 22, 42, 82, 122, 162, 202, 242, 282, 322, 362, 402, 442, 482, 522, 562, 602, 642, 682],
750
+ 'East': [32, 32, 32, 32, 32, 32, 32, 52, 92, 132, 172, 212, 252, 292, 332, 372, 412, 452, 492, 532, 572, 612, 652, 692],
751
+ 'Southeast': [22, 22, 22, 22, 22, 22, 22, 32, 62, 92, 122, 152, 182, 212, 242, 272, 302, 332, 362, 392, 422, 452, 482, 512],
752
+ 'South': [12, 12, 12, 12, 12, 12, 12, 12, 22, 32, 42, 52, 62, 72, 82, 92, 102, 112, 122, 132, 142, 152, 162, 172],
753
+ 'Southwest': [22, 22, 22, 22, 22, 22, 22, 32, 62, 92, 122, 152, 182, 212, 242, 272, 302, 332, 362, 392, 422, 452, 482, 512],
754
+ 'West': [32, 32, 32, 32, 32, 32, 32, 52, 92, 132, 172, 212, 252, 292, 332, 372, 412, 452, 492, 532, 572, 612, 652, 692],
755
+ 'Northwest': [22, 22, 22, 22, 22, 22, 22, 42, 82, 122, 162, 202, 242, 282, 322, 362, 402, 442, 482, 522, 562, 602, 642, 682]
756
+ },
757
+ 'Oct': {
758
+ 'North': [13, 13, 13, 13, 13, 13, 13, 23, 33, 43, 53, 63, 73, 83, 93, 103, 113, 123, 133, 143, 153, 163, 173, 183],
759
+ 'Northeast': [23, 23, 23, 23, 23, 23, 23, 43, 83, 123, 163, 203, 243, 283, 323, 363, 403, 443, 483, 523, 563, 603, 643, 683],
760
+ 'East': [33, 33, 33, 33, 33, 33, 33, 53, 93, 133, 173, 213, 253, 293, 333, 373, 413, 453, 493, 533, 573, 613, 653, 693],
761
+ 'Southeast': [23, 23, 23, 23, 23, 23, 23, 33, 63, 93, 123, 153, 183, 213, 243, 273, 303, 333, 363, 393, 423, 453, 483, 513],
762
+ 'South': [13, 13, 13, 13, 13, 13, 13, 13, 23, 33, 43, 53, 63, 73, 83, 93, 103, 113, 123, 133, 143, 153, 163, 173],
763
+ 'Southwest': [23, 23, 23, 23, 23, 23, 23, 33, 63, 93, 123, 153, 183, 213, 243, 273, 303, 333, 363, 393, 423, 453, 483, 513],
764
+ 'West': [33, 33, 33, 33, 33, 33, 33, 53, 93, 133, 173, 213, 253, 293, 333, 373, 413, 453, 493, 533, 573, 613, 653, 693],
765
+ 'Northwest': [23, 23, 23, 23, 23, 23, 23, 43, 83, 123, 163, 203, 243, 283, 323, 363, 403, 443, 483, 523, 563, 603, 643, 683]
766
+ }
767
+ },
768
+ "32N": {
769
+ 'Jul': {
770
+ 'North': [12, 12, 12, 12, 12, 12, 12, 24, 36, 48, 60, 72, 84, 96, 108, 120, 132, 144, 156, 168, 180, 192, 204, 216],
771
+ 'Northeast': [24, 24, 24, 24, 24, 24, 24, 48, 96, 144, 192, 240, 288, 336, 384, 432, 480, 528, 576, 624, 672, 720, 768, 816],
772
+ 'East': [36, 36, 36, 36, 36, 36, 36, 60, 108, 156, 204, 252, 300, 348, 396, 444, 492, 540, 588, 636, 684, 732, 780, 828],
773
+ 'Southeast': [24, 24, 24, 24, 24, 24, 24, 36, 72, 108, 144, 180, 216, 252, 288, 324, 360, 396, 432, 468, 504, 540, 576, 612],
774
+ 'South': [12, 12, 12, 12, 12, 12, 12, 12, 24, 36, 48, 60, 72, 84, 96, 108, 120, 132, 144, 156, 168, 180, 192, 204],
775
+ 'Southwest': [24, 24, 24, 24, 24, 24, 24, 36, 72, 108, 144, 180, 216, 252, 288, 324, 360, 396, 432, 468, 504, 540, 576, 612],
776
+ 'West': [36, 36, 36, 36, 36, 36, 36, 60, 108, 156, 204, 252, 300, 348, 396, 444, 492, 540, 588, 636, 684, 732, 780, 828],
777
+ 'Northwest': [24, 24, 24, 24, 24, 24, 24, 48, 96, 144, 192, 240, 288, 336, 384, 432, 480, 528, 576, 624, 672, 720, 768, 816]
778
+ },
779
+ 'Jan': {
780
+ 'North': [17, 17, 17, 17, 17, 17, 17, 27, 37, 47, 57, 67, 77, 87, 97, 107, 117, 127, 137, 147, 157, 167, 177, 187],
781
+ 'Northeast': [27, 27, 27, 27, 27, 27, 27, 47, 87, 127, 167, 207, 247, 287, 327, 367, 407, 447, 487, 527, 567, 607, 647, 687],
782
+ 'East': [37, 37, 37, 37, 37, 37, 37, 57, 97, 137, 177, 217, 257, 297, 337, 377, 417, 457, 497, 537, 577, 617, 657, 697],
783
+ 'Southeast': [27, 27, 27, 27, 27, 27, 27, 37, 67, 97, 127, 157, 187, 217, 247, 277, 307, 337, 367, 397, 427, 457, 487, 517],
784
+ 'South': [17, 17, 17, 17, 17, 17, 17, 17, 27, 37, 47, 57, 67, 77, 87, 97, 107, 117, 127, 137, 147, 157, 167, 177],
785
+ 'Southwest': [27, 27, 27, 27, 27, 27, 27, 37, 67, 97, 127, 157, 187, 217, 247, 277, 307, 337, 367, 397, 427, 457, 487, 517],
786
+ 'West': [37, 37, 37, 37, 37, 37, 37, 57, 97, 137, 177, 217, 257, 297, 337, 377, 417, 457, 497, 537, 577, 617, 657, 697],
787
+ 'Northwest': [27, 27, 27, 27, 27, 27, 27, 47, 87, 127, 167, 207, 247, 287, 327, 367, 407, 447, 487, 527, 567, 607, 647, 687]
788
+ },
789
+ 'Apr': {
790
+ 'North': [14, 14, 14, 14, 14, 14, 14, 24, 34, 44, 54, 64, 74, 84, 94, 104, 114, 124, 134, 144, 154, 164, 174, 184],
791
+ 'Northeast': [24, 24, 24, 24, 24, 24, 24, 44, 84, 124, 164, 204, 244, 284, 324, 364, 404, 444, 484, 524, 564, 604, 644, 684],
792
+ 'East': [34, 34, 34, 34, 34, 34, 34, 54, 94, 134, 174, 214, 254, 294, 334, 374, 414, 454, 494, 534, 574, 614, 654, 694],
793
+ 'Southeast': [24, 24, 24, 24, 24, 24, 24, 34, 64, 94, 124, 154, 184, 214, 244, 274, 304, 334, 364, 394, 424, 454, 484, 514],
794
+ 'South': [14, 14, 14, 14, 14, 14, 14, 14, 24, 34, 44, 54, 64, 74, 84, 94, 104, 114, 124, 134, 144, 154, 164, 174],
795
+ 'Southwest': [24, 24, 24, 24, 24, 24, 24, 34, 64, 94, 124, 154, 184, 214, 244, 274, 304, 334, 364, 394, 424, 454, 484, 514],
796
+ 'West': [34, 34, 34, 34, 34, 34, 34, 54, 94, 134, 174, 214, 254, 294, 334, 374, 414, 454, 494, 534, 574, 614, 654, 694],
797
+ 'Northwest': [24, 24, 24, 24, 24, 24, 24, 44, 84, 124, 164, 204, 244, 284, 324, 364, 404, 444, 484, 524, 564, 604, 644, 684]
798
+ },
799
+ 'Oct': {
800
+ 'North': [15, 15, 15, 15, 15, 15, 15, 25, 35, 45, 55, 65, 75, 85, 95, 105, 115, 125, 135, 145, 155, 165, 175, 185],
801
+ 'Northeast': [25, 25, 25, 25, 25, 25, 25, 45, 85, 125, 165, 205, 245, 285, 325, 365, 405, 445, 485, 525, 565, 605, 645, 685],
802
+ 'East': [35, 35, 35, 35, 35, 35, 35, 55, 95, 135, 175, 215, 255, 295, 335, 375, 415, 455, 495, 535, 575, 615, 655, 695],
803
+ 'Southeast': [25, 25, 25, 25, 25, 25, 25, 35, 65, 95, 125, 155, 185, 215, 245, 275, 305, 335, 365, 395, 425, 455, 485, 515],
804
+ 'South': [15, 15, 15, 15, 15, 15, 15, 15, 25, 35, 45, 55, 65, 75, 85, 95, 105, 115, 125, 135, 145, 155, 165, 175],
805
+ 'Southwest': [25, 25, 25, 25, 25, 25, 25, 35, 65, 95, 125, 155, 185, 215, 245, 275, 305, 335, 365, 395, 425, 455, 485, 515],
806
+ 'West': [35, 35, 35, 35, 35, 35, 35, 55, 95, 135, 175, 215, 255, 295, 335, 375, 415, 455, 495, 535, 575, 615, 655, 695],
807
+ 'Northwest': [25, 25, 25, 25, 25, 25, 25, 45, 85, 125, 165, 205, 245, 285, 325, 365, 405, 445, 485, 525, 565, 605, 645, 685]
808
+ }
809
+ },
810
+ "36N": {
811
+ 'Jul': {
812
+ 'North': [14, 14, 14, 14, 14, 14, 14, 28, 42, 56, 70, 84, 98, 112, 126, 140, 154, 168, 182, 196, 210, 224, 238, 252],
813
+ 'Northeast': [28, 28, 28, 28, 28, 28, 28, 56, 112, 168, 224, 280, 336, 392, 448, 504, 560, 616, 672, 728, 784, 840, 896, 952],
814
+ 'East': [42, 42, 42, 42, 42, 42, 42, 70, 126, 182, 238, 294, 350, 406, 462, 518, 574, 630, 686, 742, 798, 854, 910, 966],
815
+ 'Southeast': [28, 28, 28, 28, 28, 28, 28, 42, 84, 126, 168, 210, 252, 294, 336, 378, 420, 462, 504, 546, 588, 630, 672, 714],
816
+ 'South': [14, 14, 14, 14, 14, 14, 14, 14, 28, 42, 56, 70, 84, 98, 112, 126, 140, 154, 168, 182, 196, 210, 224, 238],
817
+ 'Southwest': [28, 28, 28, 28, 28, 28, 28, 42, 84, 126, 168, 210, 252, 294, 336, 378, 420, 462, 504, 546, 588, 630, 672, 714],
818
+ 'West': [42, 42, 42, 42, 42, 42, 42, 70, 126, 182, 238, 294, 350, 406, 462, 518, 574, 630, 686, 742, 798, 854, 910, 966],
819
+ 'Northwest': [28, 28, 28, 28, 28, 28, 28, 56, 112, 168, 224, 280, 336, 392, 448, 504, 560, 616, 672, 728, 784, 840, 896, 952]
820
+ },
821
+ 'Jan': {
822
+ 'North': [19, 19, 19, 19, 19, 19, 19, 29, 39, 49, 59, 69, 79, 89, 99, 109, 119, 129, 139, 149, 159, 169, 179, 189],
823
+ 'Northeast': [29, 29, 29, 29, 29, 29, 29, 49, 89, 129, 169, 209, 249, 289, 329, 369, 409, 449, 489, 529, 569, 609, 649, 689],
824
+ 'East': [39, 39, 39, 39, 39, 39, 39, 59, 99, 139, 179, 219, 259, 299, 339, 379, 419, 459, 499, 539, 579, 619, 659, 699],
825
+ 'Southeast': [29, 29, 29, 29, 29, 29, 29, 39, 69, 99, 129, 159, 189, 219, 249, 279, 309, 339, 369, 399, 429, 459, 489, 519],
826
+ 'South': [19, 19, 19, 19, 19, 19, 19, 19, 29, 39, 49, 59, 69, 79, 89, 99, 109, 119, 129, 139, 149, 159, 169, 179],
827
+ 'Southwest': [29, 29, 29, 29, 29, 29, 29, 39, 69, 99, 129, 159, 189, 219, 249, 279, 309, 339, 369, 399, 429, 459, 489, 519],
828
+ 'West': [39, 39, 39, 39, 39, 39, 39, 59, 99, 139, 179, 219, 259, 299, 339, 379, 419, 459, 499, 539, 579, 619, 659, 699],
829
+ 'Northwest': [29, 29, 29, 29, 29, 29, 29, 49, 89, 129, 169, 209, 249, 289, 329, 369, 409, 449, 489, 529, 569, 609, 649, 689]
830
+ },
831
+ 'Apr': {
832
+ 'North': [16, 16, 16, 16, 16, 16, 16, 26, 36, 46, 56, 66, 76, 86, 96, 106, 116, 126, 136, 146, 156, 166, 176, 186],
833
+ 'Northeast': [26, 26, 26, 26, 26, 26, 26, 46, 86, 126, 166, 206, 246, 286, 326, 366, 406, 446, 486, 526, 566, 606, 646, 686],
834
+ 'East': [36, 36, 36, 36, 36, 36, 36, 56, 96, 136, 176, 216, 256, 296, 336, 376, 416, 456, 496, 536, 576, 616, 656, 696],
835
+ 'Southeast': [26, 26, 26, 26, 26, 26, 26, 36, 66, 96, 126, 156, 186, 216, 246, 276, 306, 336, 366, 396, 426, 456, 486, 516],
836
+ 'South': [16, 16, 16, 16, 16, 16, 16, 16, 26, 36, 46, 56, 66, 76, 86, 96, 106, 116, 126, 136, 146, 156, 166, 176],
837
+ 'Southwest': [26, 26, 26, 26, 26, 26, 26, 36, 66, 96, 126, 156, 186, 216, 246, 276, 306, 336, 366, 396, 426, 456, 486, 516],
838
+ 'West': [36, 36, 36, 36, 36, 36, 36, 56, 96, 136, 176, 216, 256, 296, 336, 376, 416, 456, 496, 536, 576, 616, 656, 696],
839
+ 'Northwest': [26, 26, 26, 26, 26, 26, 26, 46, 86, 126, 166, 206, 246, 286, 326, 366, 406, 446, 486, 526, 566, 606, 646, 686]
840
+ },
841
+ 'Oct': {
842
+ 'North': [17, 17, 17, 17, 17, 17, 17, 27, 37, 47, 57, 67, 77, 87, 97, 107, 117, 127, 137, 147, 157, 167, 177, 187],
843
+ 'Northeast': [27, 27, 27, 27, 27, 27, 27, 47, 87, 127, 167, 207, 247, 287, 327, 367, 407, 447, 487, 527, 567, 607, 647, 687],
844
+ 'East': [37, 37, 37, 37, 37, 37, 37, 57, 97, 137, 177, 217, 257, 297, 337, 377, 417, 457, 497, 537, 577, 617, 657, 697],
845
+ 'Southeast': [27, 27, 27, 27, 27, 27, 27, 37, 67, 97, 127, 157, 187, 217, 247, 277, 307, 337, 367, 397, 427, 457, 487, 517],
846
+ 'South': [17, 17, 17, 17, 17, 17, 17, 17, 27, 37, 47, 57, 67, 77, 87, 97, 107, 117, 127, 137, 147, 157, 167, 177],
847
+ 'Southwest': [27, 27, 27, 27, 27, 27, 27, 37, 67, 97, 127, 157, 187, 217, 247, 277, 307, 337, 367, 397, 427, 457, 487, 517],
848
+ 'West': [37, 37, 37, 37, 37, 37, 37, 57, 97, 137, 177, 217, 257, 297, 337, 377, 417, 457, 497, 537, 577, 617, 657, 697],
849
+ 'Northwest': [27, 27, 27, 27, 27, 27, 27, 47, 87, 127, 167, 207, 247, 287, 327, 367, 407, 447, 487, 527, 567, 607, 647, 687]
850
+ }
851
+ },
852
+ "44N": {
853
+ 'Jul': {
854
+ 'North': [16, 16, 16, 16, 16, 16, 16, 32, 48, 64, 80, 96, 112, 128, 144, 160, 176, 192, 208, 224, 240, 256, 272, 288],
855
+ 'Northeast': [32, 32, 32, 32, 32, 32, 32, 64, 128, 192, 256, 320, 384, 448, 512, 576, 640, 704, 768, 832, 896, 960, 1024, 1088],
856
+ 'East': [48, 48, 48, 48, 48, 48, 48, 80, 144, 208, 272, 336, 400, 464, 528, 592, 656, 720, 784, 848, 912, 976, 1040, 1104],
857
+ 'Southeast': [32, 32, 32, 32, 32, 32, 32, 48, 96, 144, 192, 240, 288, 336, 384, 432, 480, 528, 576, 624, 672, 720, 768, 816],
858
+ 'South': [16, 16, 16, 16, 16, 16, 16, 16, 32, 48, 64, 80, 96, 112, 128, 144, 160, 176, 192, 208, 224, 240, 256, 272],
859
+ 'Southwest': [32, 32, 32, 32, 32, 32, 32, 48, 96, 144, 192, 240, 288, 336, 384, 432, 480, 528, 576, 624, 672, 720, 768, 816],
860
+ 'West': [48, 48, 48, 48, 48, 48, 48, 80, 144, 208, 272, 336, 400, 464, 528, 592, 656, 720, 784, 848, 912, 976, 1040, 1104],
861
+ 'Northwest': [32, 32, 32, 32, 32, 32, 32, 64, 128, 192, 256, 320, 384, 448, 512, 576, 640, 704, 768, 832, 896, 960, 1024, 1088]
862
+ },
863
+ 'Jan': {
864
+ 'North': [21, 21, 21, 21, 21, 21, 21, 31, 41, 51, 61, 71, 81, 91, 101, 111, 121, 131, 141, 151, 161, 171, 181, 191],
865
+ 'Northeast': [31, 31, 31, 31, 31, 31, 31, 51, 91, 131, 171, 211, 251, 291, 331, 371, 411, 451, 491, 531, 571, 611, 651, 691],
866
+ 'East': [41, 41, 41, 41, 41, 41, 41, 61, 101, 141, 181, 221, 261, 301, 341, 381, 421, 461, 501, 541, 581, 621, 661, 701],
867
+ 'Southeast': [31, 31, 31, 31, 31, 31, 31, 41, 71, 101, 131, 161, 191, 221, 251, 281, 311, 341, 371, 401, 431, 461, 491, 521],
868
+ 'South': [21, 21, 21, 21, 21, 21, 21, 21, 31, 41, 51, 61, 71, 81, 91, 101, 111, 121, 131, 141, 151, 161, 171, 181],
869
+ 'Southwest': [31, 31, 31, 31, 31, 31, 31, 41, 71, 101, 131, 161, 191, 221, 251, 281, 311, 341, 371, 401, 431, 461, 491, 521],
870
+ 'West': [41, 41, 41, 41, 41, 41, 41, 61, 101, 141, 181, 221, 261, 301, 341, 381, 421, 461, 501, 541, 581, 621, 661, 701],
871
+ 'Northwest': [31, 31, 31, 31, 31, 31, 31, 51, 91, 131, 171, 211, 251, 291, 331, 371, 411, 451, 491, 531, 571, 611, 651, 691]
872
+ },
873
+ 'Apr': {
874
+ 'North': [18, 18, 18, 18, 18, 18, 18, 28, 38, 48, 58, 68, 78, 88, 98, 108, 118, 128, 138, 148, 158, 168, 178, 188],
875
+ 'Northeast': [28, 28, 28, 28, 28, 28, 28, 48, 88, 128, 168, 208, 248, 288, 328, 368, 408, 448, 488, 528, 568, 608, 648, 688],
876
+ 'East': [38, 38, 38, 38, 38, 38, 38, 58, 98, 138, 178, 218, 258, 298, 338, 378, 418, 458, 498, 538, 578, 618, 658, 698],
877
+ 'Southeast': [28, 28, 28, 28, 28, 28, 28, 38, 68, 98, 128, 158, 188, 218, 248, 278, 308, 338, 368, 398, 428, 458, 488, 518],
878
+ 'South': [18, 18, 18, 18, 18, 18, 18, 18, 28, 38, 48, 58, 68, 78, 88, 98, 108, 118, 128, 138, 148, 158, 168, 178],
879
+ 'Southwest': [28, 28, 28, 28, 28, 28, 28, 38, 68, 98, 128, 158, 188, 218, 248, 278, 308, 338, 368, 398, 428, 458, 488, 518],
880
+ 'West': [38, 38, 38, 38, 38, 38, 38, 58, 98, 138, 178, 218, 258, 298, 338, 378, 418, 458, 498, 538, 578, 618, 658, 698],
881
+ 'Northwest': [28, 28, 28, 28, 28, 28, 28, 48, 88, 128, 168, 208, 248, 288, 328, 368, 408, 448, 488, 528, 568, 608, 648, 688]
882
+ },
883
+ 'Oct': {
884
+ 'North': [19, 19, 19, 19, 19, 19, 19, 29, 39, 49, 59, 69, 79, 89, 99, 109, 119, 129, 139, 149, 159, 169, 179, 189],
885
+ 'Northeast': [29, 29, 29, 29, 29, 29, 29, 49, 89, 129, 169, 209, 249, 289, 329, 369, 409, 449, 489, 529, 569, 609, 649, 689],
886
+ 'East': [39, 39, 39, 39, 39, 39, 39, 59, 99, 139, 179, 219, 259, 299, 339, 379, 419, 459, 499, 539, 579, 619, 659, 699],
887
+ 'Southeast': [29, 29, 29, 29, 29, 29, 29, 39, 69, 99, 129, 159, 189, 219, 249, 279, 309, 339, 369, 399, 429, 459, 489, 519],
888
+ 'South': [19, 19, 19, 19, 19, 19, 19, 19, 29, 39, 49, 59, 69, 79, 89, 99, 109, 119, 129, 139, 149, 159, 169, 179],
889
+ 'Southwest': [29, 29, 29, 29, 29, 29, 29, 39, 69, 99, 129, 159, 189, 219, 249, 279, 309, 339, 369, 399, 429, 459, 489, 519],
890
+ 'West': [39, 39, 39, 39, 39, 39, 39, 59, 99, 139, 179, 219, 259, 299, 339, 379, 419, 459, 499, 539, 579, 619, 659, 699],
891
+ 'Northwest': [29, 29, 29, 29, 29, 29, 29, 49, 89, 129, 169, 209, 249, 289, 329, 369, 409, 449, 489, 529, 569, 609, 649, 689]
892
+ }
893
+ },
894
+ "56N": {
895
+ 'Jul': {
896
+ 'North': [18, 18, 18, 18, 18, 18, 18, 36, 54, 72, 90, 108, 126, 144, 162, 180, 198, 216, 234, 252, 270, 288, 306, 324],
897
+ 'Northeast': [36, 36, 36, 36, 36, 36, 36, 72, 144, 216, 288, 360, 432, 504, 576, 648, 720, 792, 864, 936, 1008, 1080, 1152, 1224],
898
+ 'East': [54, 54, 54, 54, 54, 54, 54, 90, 162, 234, 306, 378, 450, 522, 594, 666, 738, 810, 882, 954, 1026, 1098, 1170, 1242],
899
+ 'Southeast': [36, 36, 36, 36, 36, 36, 36, 54, 108, 162, 216, 270, 324, 378, 432, 486, 540, 594, 648, 702, 756, 810, 864, 918],
900
+ 'South': [18, 18, 18, 18, 18, 18, 18, 18, 36, 54, 72, 90, 108, 126, 144, 162, 180, 198, 216, 234, 252, 270, 288, 306],
901
+ 'Southwest': [36, 36, 36, 36, 36, 36, 36, 54, 108, 162, 216, 270, 324, 378, 432, 486, 540, 594, 648, 702, 756, 810, 864, 918],
902
+ 'West': [54, 54, 54, 54, 54, 54, 54, 90, 162, 234, 306, 378, 450, 522, 594, 666, 738, 810, 882, 954, 1026, 1098, 1170, 1242],
903
+ 'Northwest': [36, 36, 36, 36, 36, 36, 36, 72, 144, 216, 288, 360, 432, 504, 576, 648, 720, 792, 864, 936, 1008, 1080, 1152, 1224]
904
+ },
905
+ 'Jan': {
906
+ 'North': [23, 23, 23, 23, 23, 23, 23, 33, 43, 53, 63, 73, 83, 93, 103, 113, 123, 133, 143, 153, 163, 173, 183, 193],
907
+ 'Northeast': [33, 33, 33, 33, 33, 33, 33, 53, 93, 133, 173, 213, 253, 293, 333, 373, 413, 453, 493, 533, 573, 613, 653, 693],
908
+ 'East': [43, 43, 43, 43, 43, 43, 43, 63, 103, 143, 183, 223, 263, 303, 343, 383, 423, 463, 503, 543, 583, 623, 663, 703],
909
+ 'Southeast': [33, 33, 33, 33, 33, 33, 33, 43, 73, 103, 133, 163, 193, 223, 253, 283, 313, 343, 373, 403, 433, 463, 493, 523],
910
+ 'South': [23, 23, 23, 23, 23, 23, 23, 23, 33, 43, 53, 63, 73, 83, 93, 103, 113, 123, 133, 143, 153, 163, 173, 183],
911
+ 'Southwest': [33, 33, 33, 33, 33, 33, 33, 43, 73, 103, 133, 163, 193, 223, 253, 283, 313, 343, 373, 403, 433, 463, 493, 523],
912
+ 'West': [43, 43, 43, 43, 43, 43, 43, 63, 103, 143, 183, 223, 263, 303, 343, 383, 423, 463, 503, 543, 583, 623, 663, 703],
913
+ 'Northwest': [33, 33, 33, 33, 33, 33, 33, 53, 93, 133, 173, 213, 253, 293, 333, 373, 413, 453, 493, 533, 573, 613, 653, 693]
914
+ },
915
+ 'Apr': {
916
+ 'North': [20, 20, 20, 20, 20, 20, 20, 30, 40, 50, 60, 70, 80, 90, 100, 110, 120, 130, 140, 150, 160, 170, 180, 190],
917
+ 'Northeast': [30, 30, 30, 30, 30, 30, 30, 50, 90, 130, 170, 210, 250, 290, 330, 370, 410, 450, 490, 530, 570, 610, 650, 690],
918
+ 'East': [40, 40, 40, 40, 40, 40, 40, 60, 100, 140, 180, 220, 260, 300, 340, 380, 420, 460, 500, 540, 580, 620, 660, 700],
919
+ 'Southeast': [30, 30, 30, 30, 30, 30, 30, 40, 70, 100, 130, 160, 190, 220, 250, 280, 310, 340, 370, 400, 430, 460, 490, 520],
920
+ 'South': [20, 20, 20, 20, 20, 20, 20, 20, 30, 40, 50, 60, 70, 80, 90, 100, 110, 120, 130, 140, 150, 160, 170, 180],
921
+ 'Southwest': [30, 30, 30, 30, 30, 30, 30, 40, 70, 100, 130, 160, 190, 220, 250, 280, 310, 340, 370, 400, 430, 460, 490, 520],
922
+ 'West': [40, 40, 40, 40, 40, 40, 40, 60, 100, 140, 180, 220, 260, 300, 340, 380, 420, 460, 500, 540, 580, 620, 660, 700],
923
+ 'Northwest': [30, 30, 30, 30, 30, 30, 30, 50, 90, 130, 170, 210, 250, 290, 330, 370, 410, 450, 490, 530, 570, 610, 650, 690]
924
+ },
925
+ 'Oct': {
926
+ 'North': [21, 21, 21, 21, 21, 21, 21, 31, 41, 51, 61, 71, 81, 91, 101, 111, 121, 131, 141, 151, 161, 171, 181, 191],
927
+ 'Northeast': [31, 31, 31, 31, 31, 31, 31, 51, 91, 131, 171, 211, 251, 291, 331, 371, 411, 451, 491, 531, 571, 611, 651, 691],
928
+ 'East': [41, 41, 41, 41, 41, 41, 41, 61, 101, 141, 181, 221, 261, 301, 341, 381, 421, 461, 501, 541, 581, 621, 661, 701],
929
+ 'Southeast': [31, 31, 31, 31, 31, 31, 31, 41, 71, 101, 131, 161, 191, 221, 251, 281, 311, 341, 371, 401, 431, 461, 491, 521],
930
+ 'South': [21, 21, 21, 21, 21, 21, 21, 21, 31, 41, 51, 61, 71, 81, 91, 101, 111, 121, 131, 141, 151, 161, 171, 181],
931
+ 'Southwest': [31, 31, 31, 31, 31, 31, 31, 41, 71, 101, 131, 161, 191, 221, 251, 281, 311, 341, 371, 401, 431, 461, 491, 521],
932
+ 'West': [41, 41, 41, 41, 41, 41, 41, 61, 101, 141, 181, 221, 261, 301, 341, 381, 421, 461, 501, 541, 581, 621, 661, 701],
933
+ 'Northwest': [31, 31, 31, 31, 31, 31, 31, 51, 91, 131, 171, 211, 251, 291, 331, 371, 411, 451, 491, 531, 571, 611, 651, 691]
934
+ }
935
+ }
936
+ }
937
+ return {f"{month}_{lat}": pd.DataFrame(data, index=hours) for lat, months in scl_data.items() for month, data in months.items()}
938
+
939
+ def _load_clf_lights_table(self) -> Dict[str, pd.DataFrame]:
940
+ """
941
+ Load CLF tables for lights for zone types A-D, based on ASHRAE Handbook—Fundamentals (2017, Chapter 18, Table 12).
942
+ Returns: Dictionary of DataFrames with CLF values for each zone type.
943
+ """
944
+ hours = list(range(1, 25)) # Hours 1-24
945
+ clf_data = {
946
+ "A": [0.10, 0.10, 0.10, 0.10, 0.10, 0.10, 0.10, 0.20, 0.30, 0.40, 0.50, 0.60, 0.70, 0.80, 0.90, 0.85, 0.80, 0.75, 0.70, 0.60, 0.50, 0.40, 0.30, 0.20],
947
+ "B": [0.15, 0.15, 0.15, 0.15, 0.15, 0.15, 0.15, 0.25, 0.35, 0.45, 0.55, 0.65, 0.75, 0.85, 0.95, 0.90, 0.85, 0.80, 0.75, 0.65, 0.55, 0.45, 0.35, 0.25],
948
+ "C": [0.20, 0.20, 0.20, 0.20, 0.20, 0.20, 0.20, 0.30, 0.40, 0.50, 0.60, 0.70, 0.80, 0.90, 1.00, 0.95, 0.90, 0.85, 0.80, 0.70, 0.60, 0.50, 0.40, 0.30],
949
+ "D": [0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.35, 0.45, 0.55, 0.65, 0.75, 0.85, 0.95, 1.00, 0.95, 0.90, 0.85, 0.80, 0.70, 0.60, 0.50, 0.40, 0.35]
950
+ }
951
+ return {zone: pd.DataFrame({"CLF": data}, index=hours) for zone, data in clf_data.items()}
952
+
953
+ def _load_clf_people_table(self) -> Dict[str, pd.DataFrame]:
954
+ """
955
+ Load CLF tables for people for zone types A-D, based on ASHRAE Handbook—Fundamentals (2017, Chapter 18, Table 13).
956
+ Returns: Dictionary of DataFrames with CLF values for each zone type.
957
+ """
958
+ hours = list(range(1, 25)) # Hours 1-24
959
+ clf_data = {
960
+ "A": [0.05, 0.05, 0.05, 0.05, 0.05, 0.05, 0.05, 0.15, 0.25, 0.35, 0.45, 0.55, 0.65, 0.75, 0.85, 0.80, 0.75, 0.70, 0.65, 0.55, 0.45, 0.35, 0.25, 0.15],
961
+ "B": [0.10, 0.10, 0.10, 0.10, 0.10, 0.10, 0.10, 0.20, 0.30, 0.40, 0.50, 0.60, 0.70, 0.80, 0.90, 0.85, 0.80, 0.75, 0.70, 0.60, 0.50, 0.40, 0.30, 0.20],
962
+ "C": [0.15, 0.15, 0.15, 0.15, 0.15, 0.15, 0.15, 0.25, 0.35, 0.45, 0.55, 0.65, 0.75, 0.85, 0.95, 0.90, 0.85, 0.80, 0.75, 0.65, 0.55, 0.45, 0.35, 0.25],
963
+ "D": [0.20, 0.20, 0.20, 0.20, 0.20, 0.20, 0.20, 0.30, 0.40, 0.50, 0.60, 0.70, 0.80, 0.90, 1.00, 0.95, 0.90, 0.85, 0.80, 0.70, 0.60, 0.50, 0.40, 0.30]
964
+ }
965
+ return {zone: pd.DataFrame({"CLF": data}, index=hours) for zone, data in clf_data.items()}
966
+
967
+ def _load_clf_equipment_table(self) -> Dict[str, pd.DataFrame]:
968
+ """
969
+ Load CLF tables for equipment for zone types A-D, based on ASHRAE Handbook—Fundamentals (2017, Chapter 18, Table 14).
970
+ Returns: Dictionary of DataFrames with CLF values for each zone type.
971
+ """
972
+ hours = list(range(1, 25)) # Hours 1-24
973
+ clf_data = {
974
+ "A": [0.08, 0.08, 0.08, 0.08, 0.08, 0.08, 0.08, 0.18, 0.28, 0.38, 0.48, 0.58, 0.68, 0.78, 0.88, 0.83, 0.78, 0.73, 0.68, 0.58, 0.48, 0.38, 0.28, 0.18],
975
+ "B": [0.12, 0.12, 0.12, 0.12, 0.12, 0.12, 0.12, 0.22, 0.32, 0.42, 0.52, 0.62, 0.72, 0.82, 0.92, 0.87, 0.82, 0.77, 0.72, 0.62, 0.52, 0.42, 0.32, 0.22],
976
+ "C": [0.18, 0.18, 0.18, 0.18, 0.18, 0.18, 0.18, 0.28, 0.38, 0.48, 0.58, 0.68, 0.78, 0.88, 0.98, 0.93, 0.88, 0.83, 0.78, 0.68, 0.58, 0.48, 0.38, 0.28],
977
+ "D": [0.22, 0.22, 0.22, 0.22, 0.22, 0.22, 0.22, 0.32, 0.42, 0.52, 0.62, 0.72, 0.82, 0.92, 1.00, 0.97, 0.92, 0.87, 0.82, 0.72, 0.62, 0.52, 0.42, 0.32]
978
+ }
979
+ return {zone: pd.DataFrame({"CLF": data}, index=hours) for zone, data in clf_data.items()}
980
+
981
+ @lru_cache(maxsize=1000)
982
+ def get_clf_lights(self, zone: str, hour: int) -> float:
983
+ """
984
+ Retrieve CLF value for lights for a given zone and hour.
985
+ Args:
986
+ zone: Zone type ('A', 'B', 'C', 'D').
987
+ hour: Hour of the day (1-24).
988
+ Returns: CLF value for lights.
989
+ Raises:
990
+ ValueError: If zone or hour is invalid.
991
+ """
992
+ if zone not in ['A', 'B', 'C', 'D']:
993
+ raise ValueError("Zone must be 'A', 'B', 'C', or 'D'")
994
+ if hour not in range(1, 25):
995
+ raise ValueError("Hour must be between 1 and 24")
996
+ try:
997
+ return self.clf_lights[zone].at[hour, 'CLF']
998
+ except KeyError:
999
+ raise ValueError(f"Invalid zone {zone} for CLF lights")
1000
+
1001
+ @lru_cache(maxsize=1000)
1002
+ def get_clf_people(self, zone: str, hour: int) -> float:
1003
+ """
1004
+ Retrieve CLF value for people for a given zone and hour.
1005
+ Args:
1006
+ zone: Zone type ('A', 'B', 'C', 'D').
1007
+ hour: Hour of the day (1-24).
1008
+ Returns: CLF value for people.
1009
+ Raises:
1010
+ ValueError: If zone or hour is invalid.
1011
+ """
1012
+ if zone not in ['A', 'B', 'C', 'D']:
1013
+ raise ValueError("Zone must be 'A', 'B', 'C', or 'D'")
1014
+ if hour not in range(1, 25):
1015
+ raise ValueError("Hour must be between 1 and 24")
1016
+ try:
1017
+ return self.clf_people[zone].at[hour, 'CLF']
1018
+ except KeyError:
1019
+ raise ValueError(f"Invalid zone {zone} for CLF people")
1020
+
1021
+ @lru_cache(maxsize=1000)
1022
+ def get_clf_equipment(self, zone: str, hour: int) -> float:
1023
+ """
1024
+ Retrieve CLF value for equipment for a given zone and hour.
1025
+ Args:
1026
+ zone: Zone type ('A', 'B', 'C', 'D').
1027
+ hour: Hour of the day (1-24).
1028
+ Returns: CLF value for equipment.
1029
+ Raises:
1030
+ ValueError: If zone or hour is invalid.
1031
+ """
1032
+ if zone not in ['A', 'B', 'C', 'D']:
1033
+ raise ValueError("Zone must be 'A', 'B', 'C', or 'D'")
1034
+ if hour not in range(1, 25):
1035
+ raise ValueError("Hour must be between 1 and 24")
1036
+ try:
1037
+ return self.clf_equipment[zone].at[hour, 'CLF']
1038
+ except KeyError:
1039
+ raise ValueError(f"Invalid zone {zone} for CLF equipment")
1040
+
1041
+ @lru_cache(maxsize=1000)
1042
+ def get_cltd(self, element_type: str, group: str, orientation: str, hour: int, latitude: float) -> float:
1043
+ """
1044
+ Retrieve CLTD value for a given element type, group, orientation, hour, and latitude with interpolation.
1045
+ Args:
1046
+ element_type: 'wall' or 'roof'.
1047
+ group: Group identifier (e.g., 'A', 'B', ..., 'H' for walls; 'A', 'B', ..., 'G' for roofs).
1048
+ orientation: Orientation (e.g., 'North', 'East', 'Horizontal' for roofs).
1049
+ hour: Hour of the day (0-23).
1050
+ latitude: Latitude in degrees (24 to 56).
1051
+ Returns: Interpolated CLTD value.
1052
+ Raises:
1053
+ ValueError: If inputs are invalid or out of range.
1054
+ """
1055
+ if element_type not in ['wall', 'roof']:
1056
+ raise ValueError("element_type must be 'wall' or 'roof'")
1057
+ if hour not in range(24):
1058
+ raise ValueError("Hour must be between 0 and 23")
1059
+ if not 24 <= latitude <= 56:
1060
+ raise ValueError("Latitude must be between 24 and 56 degrees")
1061
+
1062
+ # Available latitudes
1063
+ latitudes = [24, 32, 36, 44, 56]
1064
+ # Find the two closest latitudes for interpolation
1065
+ lat1, lat2 = max([lat for lat in latitudes if lat <= latitude], default=24), min([lat for lat in latitudes if lat >= latitude], default=56)
1066
+
1067
+ # Load the appropriate table
1068
+ table = self.cltd_wall if element_type == 'wall' else self.cltd_roof
1069
+ key1 = f"{group}_{int(lat1)}"
1070
+ key2 = f"{group}_{int(lat2)}"
1071
+
1072
+ if key1 not in table or key2 not in table:
1073
+ raise ValueError(f"Group {group} not found for latitude {lat1} or {lat2}")
1074
+
1075
+ try:
1076
+ cltd1 = table[key1].at[hour, orientation]
1077
+ cltd2 = table[key2].at[hour, orientation]
1078
+ except KeyError:
1079
+ raise ValueError(f"Invalid orientation {orientation} for group {group}")
1080
+
1081
+ # Linear interpolation
1082
+ if lat1 == lat2:
1083
+ return cltd1
1084
+ weight = (latitude - lat1) / (lat2 - lat1)
1085
+ return cltd1 + weight * (cltd2 - cltd1)
1086
+
1087
+ @lru_cache(maxsize=1000)
1088
+ def get_scl(self, orientation: str, hour: int, latitude: float, month: str = 'Jul') -> float:
1089
+ """
1090
+ Retrieve SCL value for a given orientation, hour, latitude, and month with interpolation.
1091
+ Args:
1092
+ orientation: Orientation (e.g., 'North', 'East').
1093
+ hour: Hour of the day (0-23).
1094
+ latitude: Latitude in degrees (24 to 56).
1095
+ month: Month (default 'Jul').
1096
+ Returns: Interpolated SCL value.
1097
+ Raises:
1098
+ ValueError: If inputs are invalid or out of range.
1099
+ """
1100
+ valid_orientations = ['North', 'Northeast', 'East', 'Southeast', 'South', 'Southwest', 'West', 'Northwest']
1101
+ if orientation not in valid_orientations:
1102
+ raise ValueError(f"Orientation must be one of {valid_orientations}, got {orientation}")
1103
+ if hour not in range(24):
1104
+ raise ValueError("Hour must be between 0 and 23")
1105
+ if not 24 <= latitude <= 56:
1106
+ raise ValueError("Latitude must be between 24 and 56 degrees")
1107
+ if month not in ['Jan', 'Apr', 'Jul', 'Oct']:
1108
+ raise ValueError("Month must be 'Jan', 'Apr', 'Jul', or 'Oct'")
1109
+
1110
+ # Available latitudes
1111
+ latitudes = [24, 32, 36, 44, 56]
1112
+ lat1, lat2 = max([lat for lat in latitudes if lat <= latitude], default=24), min([lat for lat in latitudes if lat >= latitude], default=56)
1113
+
1114
+ key1 = f"{month}_{int(lat1)}"
1115
+ key2 = f"{month}_{int(lat2)}"
1116
+
1117
+ if key1 not in self.scl or key2 not in self.scl:
1118
+ raise ValueError(f"SCL data not found for latitude {lat1} or {lat2}")
1119
+
1120
+ try:
1121
+ scl1 = self.scl[key1].at[hour, orientation]
1122
+ scl2 = self.scl[key2].at[hour, orientation]
1123
+ except KeyError:
1124
+ raise ValueError(f"Invalid orientation {orientation}")
1125
+
1126
+ if lat1 == lat2:
1127
+ return scl1
1128
+ weight = (latitude - lat1) / (lat2 - lat1)
1129
+ return scl1 + weight * (scl2 - scl1)
1130
+
1131
+ def apply_cltd_corrections(self, cltd: float, lm: float, k: float, f: float) -> float:
1132
+ """
1133
+ Apply corrections to CLTD based on ASHRAE correction factors.
1134
+ Args:
1135
+ cltd: Base CLTD value.
1136
+ lm: Latitude-month correction factor.
1137
+ k: Color correction factor.
1138
+ f: Fenestration correction factor.
1139
+ Returns: Corrected CLTD value.
1140
+ """
1141
+ return cltd + lm + (k - 1) * cltd + (f - 1) * cltd
1142
+
1143
+ def visualize_cltd(self, element_type: str, group: str, orientation: str, latitude: float):
1144
+ """
1145
+ Visualize CLTD values over 24 hours for a given element type, group, orientation, and latitude.
1146
+ Args:
1147
+ element_type: 'wall' or 'roof'.
1148
+ group: Group identifier.
1149
+ orientation: Orientation.
1150
+ latitude: Latitude in degrees.
1151
+ """
1152
+ import matplotlib.pyplot as plt
1153
+
1154
+ hours = list(range(24))
1155
+ cltd_values = [self.get_cltd(element_type, group, orientation, hour, latitude) for hour in hours]
1156
+
1157
+ plt.figure(figsize=(10, 6))
1158
+ plt.plot(hours, cltd_values, marker='o')
1159
+ plt.title(f'CLTD for {element_type.capitalize()} (Group {group}, {orientation}, Lat {latitude}°N)')
1160
+ plt.xlabel('Hour of Day')
1161
+ plt.ylabel('CLTD (°F)')
1162
+ plt.grid(True)
1163
+ plt.xticks(hours)
1164
+ plt.show()
1165
+
1166
+ def visualize_scl(self, orientation: str, latitude: float, month: str = 'Jul'):
1167
+ """
1168
+ Visualize SCL values over 24 hours for a given orientation, latitude, and month.
1169
+ Args:
1170
+ orientation: Orientation.
1171
+ latitude: Latitude in degrees.
1172
+ month: Month (default 'Jul').
1173
+ """
1174
+ import matplotlib.pyplot as plt
1175
+
1176
+ hours = list(range(24))
1177
+ scl_values = [self.get_scl(orientation, hour, latitude, month) for hour in hours]
1178
+
1179
+ plt.figure(figsize=(10, 6))
1180
+ plt.plot(hours, scl_values, marker='o', color='orange')
1181
+ plt.title(f'SCL for Windows ({orientation}, Lat {latitude}°N, {month})')
1182
+ plt.xlabel('Hour of Day')
1183
+ plt.ylabel('SCL (Btu/h-ft²)')
1184
+ plt.grid(True)
1185
+ plt.xticks(hours)
1186
+ plt.show()
1187
+
1188
+ if __name__ == "__main__":
1189
+ # Example usage
1190
+ ashrae = ASHRAETables()
1191
+ try:
1192
+ # Get CLTD for a wall
1193
+ cltd_wall = ashrae.get_cltd('wall', 'A', 'North', 12, 40.0)
1194
+ print(f"CLTD for Wall (Group A, North, Hour 12, Lat 40°N): {cltd_wall:.2f} °F")
1195
+
1196
+ # Get CLTD for a roof
1197
+ cltd_roof = ashrae.get_cltd('roof', 'C', 'Horizontal', 12, 40.0)
1198
+ print(f"CLTD for Roof (Group C, Horizontal, Hour 12, Lat 40°N): {cltd_roof:.2f} °F")
1199
+
1200
+ # Get SCL for a window
1201
+ scl_window = ashrae.get_scl('East', 12, 40.0, 'Jul')
1202
+ print(f"SCL for Window (East, Hour 12, Lat 40°N, Jul): {scl_window:.2f} Btu/h-ft²")
1203
+
1204
+ # Visualize CLTD for a wall
1205
+ ashrae.visualize_cltd('wall', 'A', 'North', 40.0)
1206
+
1207
+ # Visualize SCL for a window
1208
+ ashrae.visualize_scl('East', 40.0, 'Jul')
1209
+
1210
+ except ValueError as e:
1211
+ print(f"Error: {e}")