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diff --git a/Buildings/Resources/src/ThermalZones/Detailed/Validation/BESTEST/ASHRAE140_data.dat b/Buildings/Resources/src/ThermalZones/Detailed/Validation/BESTEST/ASHRAE140_data.dat
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--- /dev/null
+++ b/Buildings/Resources/src/ThermalZones/Detailed/Validation/BESTEST/ASHRAE140_data.dat
@@ -0,0 +1,404 @@
+# Following data are from "RESULTS5-2A.xlsx" in folder /Sec5-2AFiles/Informative Materials
+# of "Supplemental Files for ANSI/ASHRAE Standard 140-2017, Standard Method of Test
+# for the Evaluation of Building Energy Analysis Computer Programs": https://xp20.ashrae.org/140-2017/
+========================================================
+# Table B8-1. Annual Heating Loads (MWh)
+Case, ESP/DMU, BLAST/US-IT, DOE21D/NREL, SRES-SUN/NREL, SRES/BRE, S3PAS/SPAIN, TSYS/BEL-BRE, TASE/FINLAND
+600, 4.296, 4.773, 5.709, 5.226, 5.596, 4.882, 4.872, 5.362
+610, 4.355, 4.806, 5.786, 5.280, 5.620, 4.971, 4.970, 5.383
+620, 4.613, 5.049, 5.944, 5.554, 5.734, 5.564, 5.073, 5.728
+630, 5.050, 5.359, 6.469, 5.883, 6.001, 6.095, 5.624, N/A
+640, 2.751, 2.888, 3.543, 3.255, 3.803, 3.065, 3.043, 3.309
+650, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000
+900, 1.170, 1.610, 1.872, 1.897, 1.988, 1.730, 1.655, 2.041
+910, 1.575, 1.862, 2.254, 2.174, 2.282, 2.063, 2.097, 2.220
+920, 3.313, 3.752, 4.255, 4.093, 4.058, 4.235, 3.776, 4.300
+930, 4.143, 4.347, 5.335, 4.755, 4.728, 5.168, 4.740, N/A
+940, 0.793, 1.021, 1.239, 1.231, 1.411, 1.179, 1.080, 1.323
+950, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000
+960, 2.311, 2.664, 2.928, 2.884, 2.851, 2.943, 3.373, 2.816
+--------------------------------------------------------
+# Table B8-2. Annual Sensible Cooling Loads (MWh)
+Case, ESP/DMU, BLAST/US-IT, DOE21D/NREL, SRES-SUN/NREL, SRES/BRE, S3PAS/SPAIN, TSYS/BEL-BRE, TASE/FINLAND
+600, 6.137, 6.433, 7.079, 7.278, 7.964, 6.492, 6.492, 6.778
+610, 3.915, 4.851, 4.852, 5.448, 5.778, 4.764, 4.601, 5.506
+620, 3.417, 4.092, 4.334, 4.633, 5.004, 4.011, 3.901, 4.351
+630, 2.129, 3.108, 2.489, 3.493, 3.701, 2.489, 2.416, N/A
+640, 5.952, 6.183, 6.759, 7.026, 7.811, 6.247, 6.246, 6.508
+650, 4.816, 5.140, 5.795, 5.894, 6.545, 5.088, 5.119, 5.456
+900, 2.132, 2.600, 2.455, 3.165, 3.415, 2.572, 2.485, 2.599
+910, 0.821, 1.533, 0.976, 1.872, 1.854, 1.428, 1.326, 1.767
+920, 1.840, 2.616, 2.440, 2.943, 3.092, 2.457, 2.418, 2.613
+930, 1.039, 1.934, 1.266, 2.173, 2.238, 1.439, 1.416, N/A
+940, 2.079, 2.536, 2.340, 3.036, 3.241, 2.489, 2.383, 2.516
+950, 0.387, 0.526, 0.538, 0.921, 0.589, 0.551, 0.561, 0.771
+960, 0.488, 0.666, 0.428, 0.803, 0.718, 0.643, 0.411, 0.786
+--------------------------------------------------------
+# Table B8-3. Annual Hourly Integrated Peak Heating Loads (kW)
+Case, ESP/DMU, BLAST/US-IT, DOE21D/NREL, SRES-SUN/NREL, SRES/BRE, S3PAS/SPAIN, TSYS/BEL-BRE, TASE/FINLAND
+600, 3.437(04-Jan:5), 3.940(04-Jan:5), 4.045(04-Jan:5), 4.258(04-Jan:2), N/A, 4.037(04-Jan:2), 3.931(04-Jan:6), 4.354(04-Jan:2)
+610, 3.437(04-Jan:5), 3.941(04-Jan:5), 4.034(04-Jan:5), 4.258(04-Jan:2), N/A, 4.037(04-Jan:2), 3.922(04-Jan:6), 4.354(04-Jan:2)
+620, 3.591(04-Jan:6), 3.941(04-Jan:5), 4.046(04-Jan:5), 4.277(04-Jan:2), N/A, 4.277(04-Jan:2), 3.922(04-Jan:6), 4.379(04-Jan:2)
+630, 3.592(04-Jan:7), 3.941(04-Jan:5), 4.025(04-Jan:5), 4.280(04-Jan:2), N/A, 4.278(04-Jan:2), 3.922(04-Jan:6), N/A
+640, 5.232(04-Jan:7), 5.486(04-Jan:8), 5.943(04-Jan:8), 6.530(04-Jan:8), N/A, 6.347(04-Jan:8), 5.722(04-Jan:8), 6.954(04-Jan:8)
+650, 0.000, 0.000(04-Jan:N/A), 0.000, 0.000, N/A, 0.000, 0.000, 0.000
+900, 2.850(04-Jan:7), 3.453(04-Jan:7), 3.557(04-Jan:7), 3.760(04-Jan:7), N/A, 3.608(04-Jan:8), 3.517(04-Jan:7), 3.797(04-Jan:7)
+910, 2.858(04-Jan:7), 3.456(04-Jan:7), 3.564(04-Jan:7), 3.764(04-Jan:7), N/A, 3.618(04-Jan:8), 3.536(04-Jan:7), 3.801(04-Jan:7)
+920, 3.308(04-Jan:7), 3.703(04-Jan:7), 3.805(04-Jan:7), 4.013(04-Jan:7), N/A, 4.029(04-Jan:7), 3.708(04-Jan:7), 4.061(04-Jan:7)
+930, 3.355(04-Jan:7), 3.732(04-Jan:7), 3.832(04-Jan:7), 4.042(04-Jan:7), N/A, 4.064(04-Jan:7), 3.744(04-Jan:7), N/A,
+940, 3.980(04-Jan:7), 5.028(04-Jan:8), 5.665(04-Jan:8), 6.116(04-Jan:8), N/A, 6.117(04-Jan:8), 5.122(03-Jan:9), 6.428(04-Jan:8)
+950, 0.000, 0.000, 0.000, 0.000, N/A, 0.000, 0.000, 0.000
+960, 2.410(04-Jan:7), 2.751(04-Jan:8), 2.727(04-Jan:8), 2.863(04-Jan:8), N/A, 2.852(04-Jan:8), 2.522(04-Jan:8), 2.779(04-Jan:8)
+--------------------------------------------------------
+# Table B8-4. Annual Hourly Integrated Peak Sensible Cooling Loads (kW)
+Case, ESP/DMU, BLAST/US-IT, DOE21D/NREL, SRES-SUN/NREL, SRES/BRE, S3PAS/SPAIN, TSYS/BEL-BRE, TASE/FINLAND
+600, 6.194(17-Oct:13), 5.965(16-Oct:14), 6.656(16-Oct:13), 6.827(16-Oct:14), N/A, 6.286(25-Nov:14), 6.486(16-Oct:14), 6.812(17-Oct:14)
+610, 5.669(25-Nov:13), 5.824(25-Nov:14), 6.064(13-Jan:14), 6.371(25-Nov:14), N/A, 6.170(25-Nov:14), 5.675(25-Nov:14), 6.146(17-Oct:14)
+620, 3.634(26-Jul:16), 4.075(26-Jul:17), 4.430(26-Jul:17), 4.593(26-Jul:17), N/A, 4.297(26-Jul:17), 4.275(26-Jul:17), 5.096(26-Jul:16)
+630, 3.072(26-Jul:16), 3.704(26-Jul:17), 3.588(26-Jul:17), 4.116(26-Jul:17), N/A, 3.665(26-Jul:17), 3.608(26-Jul:17), N/A
+640, 6.161(17-Oct:13), 5.892(16-Oct:14), 6.576(16-Oct:14), 6.776(16-Oct:14), N/A, 6.250(25-Nov:14), 6.442(16-Oct:14), 6.771(17-Oct:14)
+650, 6.031(17-Oct:13), 5.831(16-Oct:14), 6.516(16-Oct:14), 6.671(16-Oct:14), N/A, 6.143(25-Nov:14), 6.378(17-Oct:14), 6.679(17-Oct:14)
+900, 2.888(17-Oct:14), 3.155(06-Oct:15), 3.458(17-Oct:14), 3.871(17-Oct:14), N/A, 3.334(17-Oct:15), 3.567(17-Oct:15), 3.457(17-Oct:15)
+910, 1.896(17-Oct:15), 2.500(21-Oct:15), 2.336(17-Oct:15), 3.277(17-Oct:15), N/A, 2.786(17-Oct:15), 2.792(17-Oct:15), 3.147(17-Oct:15)
+920, 2.385(26-Jul:16), 2.933(26-Jul:17), 3.109(26-Jul:17), 3.487(26-Jul:17), N/A, 3.071(26-Jul:17), 3.050(26-Jul:17), 3.505(26-Jul:17)
+930, 1.873(26-Jul:17), 2.546(26-Jul:17), 2.388(26-Jul:18), 3.080(26-Jul:17), N/A, 2.486(26-Jul:17), 2.498(26-Jul:17), N/A
+940, 2.888(17-Oct:14), 3.155(06-Oct:15), 3.458(17-Oct:14), 3.871(17-Oct:14), N/A, 3.334(17-Oct:15), 3.567(17-Oct:15), 3.457(17-Oct:15)
+950, 2.033(02-Sep:14), 2.621(02-Sep:15), 2.664(02-Sep:15), 3.170(02-Sep:14), N/A, 2.677(02-Sep:15), 2.686(02-Sep:15), 2.867(02-Sep:14)
+960, 0.953(16-Aug:16), 1.144(26-Jul:16), 1.057(26-Jul:16), 1.370(26-Jul:16), N/A, 1.179(26-Jul:16), 1.378(26-Jul:16), 1.403(26-Jul:16)
+--------------------------------------------------------
+# Table B8-5. Free-Float Temperature Output (degC)
+# MAXIMUM ANNUAL HOURLY INTEGRATED ZONE TEMPERATURE
+Case, ESP/DMU, BLAST/US-IT, DOE21D/NREL, SRES-SUN/NREL, SRES/BRE, S3PAS/SPAIN, TSYS/BEL-BRE, TASE/FINLAND
+600FF, 64.9(17-Oct:15), 65.1(16-Oct:15), 69.5(17-Oct:15), 68.6(16-Oct:15), N/A, 64.9(16-Oct:16), 65.3(17-Oct:16), 65.3(15-Oct:16)
+900FF, 41.8(17-Oct:15), 43.4(02-Sep:16), 42.7(02-Sep:15), 44.8(02-Sep:15), N/A, 43.0(02-Sep:15), 42.5(17-Oct:15), 43.2(15-Sep:15)
+650FF, 63.2(17-Oct:15), 63.5(16-Oct:15), 68.2(17-Oct:15), 67.0(16-Oct:15), N/A, 63.3(16-Oct:16), 63.7(17-Oct:16), 63.8(16-Oct:16)
+950FF, 35.5(02-Sep:16), 36.2(02-Sep:16), 35.9(02-Sep:16), 38.5(02-Sep:15), N/A, 36.1(02-Sep:16), 35.7(02-Sep:15), 37.6(15-Sep:16)
+--------------------------------------------------------
+# MINIMUM ANNUAL HOURLY INTEGRATED ZONE TEMPERATURE
+Case, ESP/DMU, BLAST/US-IT, DOE21D/NREL, SRES-SUN/NREL, SRES/BRE, S3PAS/SPAIN, TSYS/BEL-BRE, TASE/FINLAND
+600FF, -15.6(04-Jan:7), -17.1(04-Jan:8), -18.8(04-Jan:8), -18.0(04-Jan:7), N/A, -17.8(04-Jan:8), -17.8(04-Jan:7), -18.5(08-Jan:9)
+900FF, -1.6(04-Jan:8), -3.2(04-Jan:8), -4.3(04-Jan:8), -4.5(04-Jan:8), N/A, -4.0(04-Jan:8), -6.4(04-Jan:8), -5.6(08-Jan:9)
+650FF, -22.6(04-Jan:6), -23.0(04-Jan:7), -21.6(04-Jan:2), -23.0(04-Jan:2), N/A, -22.9(04-Jan:2), -22.8(04-Jan:7), -22.9(02-Jan:23)
+950FF, -19.5(04-Jan:6), -20.0(04-Jan:7), -18.6(04-Jan:7), -19.7(04-Jan:7), N/A, -20.2(04-Jan:7), -19.3(04-Jan:7), -20.0(07-Jan:22)
+--------------------------------------------------------
+# AVERAGE ANNUAL HOURLY INTEGRATED ZONE TEMPERATURE
+Case, ESP/DMU, BLAST/US-IT, DOE21D/NREL, SRES-SUN/NREL, SRES/BRE, S3PAS/SPAIN, TSYS/BEL-BRE, TASE/FINLAND
+600FF, 25.1, 25.4, 24.6, 25.5, 25.9, 25.2, 24.5, 24.2
+900FF, 25.5, 25.9, 24.7, 25.5, 25.7, 25.2, 24.5, 24.5
+650FF, 18.2, 18.7, 19.1, 19.0, 19.6, 18.4, 18.0, 18.4
+950FF, 14.1, 14.3, 14.3, 15.0, 14.3, 14.0, 14.5, 14.6
+--------------------------------------------------------
+# HOURLY FREE FLOAT TEMPERATURE DATA (degC): CASE 600FF, JAN 4
+Hour, ESP/DMU, BLAST/US-IT, DOE21D/NREL, SRES-SUN/NREL, SRES/BRE, S3PAS/SPAIN, TSYS/BEL-BRE, TASE/FINLAND
+1, -8.88, -12.04, -12.30, -12.21, N/A, -12.10, -12.02, -13.04
+2, -10.48, -13.52, -14.10, -13.80, N/A, -13.70, -13.50, -14.59
+3, -11.76, -14.40, -15.40, -14.90, N/A, -14.70, -14.70, -15.65
+4, -12.75, -15.26, -16.30, -15.79, N/A, -15.60, -15.65, -16.46
+5, -13.69, -16.00, -17.10, -16.55, N/A, -16.40, -16.47, -17.16
+6, -14.49, -16.40, -17.90, -17.20, N/A, -17.00, -17.14, -17.79
+7, -15.15, -17.01, -18.50, -17.74, N/A, -17.60, -17.70, -18.32
+8, -15.63, -17.05, -18.80, -17.85, N/A, -17.80, -17.59, -18.47
+9, -14.63, -13.74, -14.70, -14.88, N/A, -14.60, -13.46, -15.47
+10, -10.03, -7.99, -7.80, -9.07, N/A, -8.90, -7.10, -9.56
+11, -2.20, 2.60, 3.20, 1.01, N/A, 1.00, 3.66, 0.49
+12, 8.84, 12.22, 13.40, 11.21, N/A, 10.70, 13.49, 10.39
+13, 18.96, 20.86, 22.30, 20.03, N/A, 19.20, 21.77, 18.75
+14, 27.19, 27.53, 29.50, 27.27, N/A, 26.10, 28.26, 25.48
+15, 33.22, 31.33, 33.80, 31.34, N/A, 29.80, 32.09, 29.21
+16, 35.51, 31.06, 33.50, 31.47, N/A, 29.70, 32.16, 28.97
+17, 31.46, 24.28, 27.00, 25.96, N/A, 23.90, 25.71, 22.58
+18, 23.99, 17.46, 19.70, 18.96, N/A, 17.60, 18.84, 15.59
+19, 18.08, 12.05, 13.70, 13.04, N/A, 12.20, 13.10, 10.20
+20, 13.02, 7.57, 8.70, 8.31, N/A, 7.80, 8.41, 6.02
+21, 8.87, 3.60, 4.40, 4.27, N/A, 4.00, 4.39, 2.39
+22, 5.12, 0.52, 1.00, 0.99, N/A, 0.90, 0.97, -0.59
+23, 2.03, -1.94, -1.90, -1.66, N/A, -1.70, -1.78, -3.04
+24, -1.03, -4.07, -4.40, -3.92, N/A, -3.90, -4.03, -5.14
+--------------------------------------------------------
+# HOURLY FREE FLOAT TEMPERATURE DATA (degC): CASE 900FF, JAN 4
+Hour, ESP/DMU, BLAST/US-IT, DOE21D/NREL, SRES-SUN/NREL, SRES/BRE, S3PAS/SPAIN, TSYS/BEL-BRE, TASE/FINLAND
+1, 1.61, -0.17, -0.90, -1.31, N/A, -0.70, -3.46, -2.68
+2, 0.93, -0.79, -1.60, -1.97, N/A, -1.40, -3.99, -3.33
+3, 0.49, -1.09, -2.00, -2.37, N/A, -1.80, -4.40, -3.72
+4, 0.07, -1.67, -2.50, -2.81, N/A, -2.30, -4.80, -4.10
+5, -0.41, -2.04, -2.90, -3.25, N/A, -2.70, -5.22, -4.51
+6, -0.87, -2.43, -3.40, -3.68, N/A, -3.20, -5.60, -4.93
+7, -1.27, -2.97, -3.90, -4.10, N/A, -3.60, -5.98, -5.34
+8, -1.64, -3.15, -4.30, -4.40, N/A, -4.00, -6.08, -5.64
+9, -1.54, -2.39, -3.30, -3.45, N/A, -3.20, -4.72, -4.59
+10, -0.40, -1.09, -1.60, -1.60, N/A, -1.70, -2.98, -2.64
+11, 1.59, 1.60, 1.20, 1.66, N/A, 0.90, 0.25, 0.75
+12, 4.40, 3.62, 3.50, 4.40, N/A, 3.10, 2.54, 3.26
+13, 6.72, 5.62, 5.50, 6.56, N/A, 5.10, 4.38, 4.99
+14, 8.66, 7.32, 7.20, 8.39, N/A, 6.80, 5.85, 6.51
+15, 10.02, 8.27, 8.00, 9.04, N/A, 7.60, 6.61, 7.11
+16, 10.40, 8.15, 7.90, 8.58, N/A, 7.40, 6.33, 6.68
+17, 9.41, 6.53, 6.20, 6.44, N/A, 5.80, 4.20, 4.24
+18, 7.66, 5.25, 4.70, 4.43, N/A, 4.40, 2.87, 2.45
+19, 6.74, 4.52, 3.80, 3.37, N/A, 3.60, 2.11, 1.71
+20, 6.00, 3.88, 3.20, 2.73, N/A, 3.00, 1.58, 1.32
+21, 5.41, 3.22, 2.70, 2.11, N/A, 2.40, 1.05, 0.82
+22, 4.74, 2.85, 2.20, 1.66, N/A, 1.90, 0.55, 0.42
+23, 4.20, 2.47, 1.70, 1.26, N/A, 1.50, 0.15, 0.05
+24, 3.66, 1.90, 1.20, 0.83, N/A, 1.00, -0.24, -0.34
+--------------------------------------------------------
+# HOURLY FREE FLOAT TEMPERATURE DATA (degC): CASE 650FFV, JULY 27
+Hour, ESP/DMU, BLAST/US-IT, DOE21D/NREL, SRES-SUN/NREL, SRES/BRE, S3PAS/SPAIN, TSYS/BEL-BRE, TASE/FINLAND
+1, 22.58, 22.223, 21.8, 22.37, N/A, 22.4, 22.69, 22.26
+2, 21.15, 21.15459, 20.8, 21.19, N/A, 21.2, 21.33, 21.11
+3, 20.23, 20.30677, 19.9, 20.33, N/A, 20.4, 20.41, 20.28
+4, 19.45, 19.52177, 19.1, 19.54, N/A, 19.5, 19.61, 19.49
+5, 18.95, 19.29496, 18.8, 19.21, N/A, 19.2, 19.16, 19.14
+6, 19.24, 19.91442, 19.5, 19.86, N/A, 19.9, 19.6, 19.81
+7, 21.16, 22.52839, 22.2, 22.51, N/A, 22.5, 21.68, 22.49
+8, 23.56, 25.02746, 24, 24.89, N/A, 24.7, 23.47, 24.81
+9, 25.67, 28.33267, 27.3, 28.29, N/A, 27.9, 26.38, 28.04
+10, 28.91, 31.83112, 31.5, 32.42, N/A, 31.7, 30.35, 32.11
+11, 32.8, 35.82504, 36.2, 37.12, N/A, 36.2, 34.82, 36.54
+12, 37.49, 40.19727, 41.1, 42.08, N/A, 40.8, 39.38, 41.15
+13, 41.94, 43.90261, 45.4, 46.46, N/A, 45, 43.48, 45.03
+14, 45.43, 46.34636, 48.4, 49.69, N/A, 48.1, 46.14, 47.65
+15, 47.41, 47.63623, 50.1, 51.3, N/A, 49.6, 47.4, 49.04
+16, 47.84, 47.60286, 50.1, 51.28, N/A, 49.7, 47.33, 49.28
+17, 47.01, 47.34062, 49.1, 50.46, N/A, 49.1, 46.71, 48.73
+18, 45.53, 45.39641, 46.8, 48.37, N/A, 47.2, 45.28, 46.58
+19, 37.37, 33.70343, 34, 35.39, N/A, 35.1, 33.1, 34.91
+20, 31.57, 30.86638, 30.9, 31.63, N/A, 31.6, 30.49, 30.69
+21, 29.05, 28.69496, 28.5, 29.12, N/A, 29.2, 28.55, 28.81
+22, 26.92, 26.49679, 26.3, 26.83, N/A, 26.9, 26.66, 26.66
+23, 25.52, 25.68444, 25.4, 25.87, N/A, 25.9, 25.55, 25.69
+24, 23.84, 24.05427, 23.7, 24.19, N/A, 24.2, 24.26, 24.1
+--------------------------------------------------------
+# HOURLY FREE FLOAT TEMPERATURE DATA (degC): CASE 950FFV, JULY 27
+Hour, ESP/DMU, BLAST/US-IT, DOE21D/NREL, SRES-SUN/NREL, SRES/BRE, S3PAS/SPAIN, TSYS/BEL-BRE, TASE/FINLAND
+1, 24.36, 24.56013, 24.2, 24.52, N/A, 24.6, 25.28, 24.53
+2, 23.46, 23.89633, 23.5, 23.81, N/A, 23.9, 24.47, 23.8
+3, 22.86, 23.31263, 22.9, 23.22, N/A, 23.3, 23.87, 23.23
+4, 22.27, 22.68233, 22.3, 22.6, N/A, 22.7, 23.26, 22.6
+5, 21.86, 22.4527, 22, 22.32, N/A, 22.4, 22.87, 22.27
+6, 22.01, 22.81275, 22.5, 22.77, N/A, 22.8, 23.06, 22.67
+7, 23.32, 24.66775, 24.3, 24.73, N/A, 24.6, 24.38, 24.55
+8, 25.62, 27.35861, 26.5, 27.59, N/A, 27.1, 27.21, 27.57
+9, 27.59, 28.32289, 27.5, 29.09, N/A, 28.2, 27.98, 29.42
+10, 28.82, 29.20738, 28.6, 30.5, N/A, 29.3, 29.11, 30.68
+11, 29.84, 30.19013, 29.8, 31.98, N/A, 30.5, 30.31, 31.91
+12, 30.98, 31.33518, 31.1, 33.56, N/A, 31.7, 31.53, 33.27
+13, 32.08, 32.18791, 32.2, 34.79, N/A, 32.8, 32.55, 34.27
+14, 32.85, 32.84504, 33, 35.65, N/A, 33.6, 33.15, 34.9
+15, 33.33, 33.11979, 33.4, 35.96, N/A, 34, 33.37, 35.19
+16, 33.55, 33.24781, 33.5, 35.82, N/A, 34.1, 33.38, 35.28
+17, 33.44, 33.35231, 33.5, 35.61, N/A, 34.1, 33.37, 35.3
+18, 33.23, 32.99604, 33.1, 34.93, N/A, 33.7, 33.16, 34.71
+19, 30.92, 30.20304, 30, 30.96, N/A, 30.6, 30.43, 30.74
+20, 29.17, 29.35345, 29.1, 29.79, N/A, 29.6, 29.61, 29.38
+21, 28.31, 28.54159, 28.2, 28.83, N/A, 28.7, 28.89, 27.64
+22, 27.27, 27.3759, 27.1, 27.59, N/A, 27.5, 27.93, 27.46
+23, 26.62, 27.17404, 26.8, 27.28, N/A, 27.3, 27.42, 27.1
+24, 25.54, 25.98047, 25.7, 26.1, N/A, 26.1, 26.59, 26.02
+--------------------------------------------------------
+# HOURLY HEATING & COOLING LOAD DATA (kWh): CASE 600 JAN 4
+Hour, ESP/DMU, BLAST/US-IT, DOE21D/NREL, SRES-SUN/NREL, SRES/BRE, S3PAS/SPAIN, TSYS/BEL-BRE, TASE/FINLAND
+1, 3.25, 3.80, 3.93, 4.13, N/A, 3.93, 3.77, 4.23
+2, 3.41, 3.91, 4.04, 4.26, N/A, 4.04, 3.87, 4.35
+3, 3.39, 3.87, 4.01, 4.23, N/A, 4.00, 3.90, 4.32
+4, 3.38, 3.92, 4.04, 4.22, N/A, 4.00, 3.89, 4.31
+5, 3.42, 3.94, 4.05, 4.22, N/A, 4.00, 3.92, 4.30
+6, 3.43, 3.93, 4.04, 4.22, N/A, 4.00, 3.93, 4.31
+7, 3.42, 3.94, 4.05, 4.22, N/A, 4.00, 3.93, 4.31
+8, 3.34, 3.70, 3.86, 4.09, N/A, 3.90, 3.75, 4.17
+9, 2.77, 2.68, 2.56, 2.90, N/A, 2.71, 2.42, 2.91
+10, 1.50, 1.38, 0.84, 1.28, N/A, 1.15, 0.80, 1.47
+11, 0.15, 0.00, 0.00, 0.00, N/A, 0.00, -0.03, 0.00
+12, -0.77, -1.23, -1.55, -1.07, N/A, -1.04, -1.44, -0.42
+13, -2.66, -2.49, -2.85, -2.59, N/A, -2.50, -2.72, -2.36
+14, -3.58, -2.96, -3.40, -3.23, N/A, -3.09, -3.16, -2.76
+15, -3.53, -2.63, -3.12, -2.83, N/A, -2.64, -2.84, -2.43
+16, -2.44, -1.35, -1.82, -1.55, N/A, -1.35, -1.72, -1.14
+17, -0.36, 0.00, 0.00, 0.00, N/A, 0.00, 0.00, 0.00
+18, 0.24, 0.95, 0.78, 0.80, N/A, 0.88, 0.77, 1.29
+19, 1.53, 2.38, 2.23, 2.34, N/A, 2.33, 2.30, 2.45
+20, 2.32, 2.87, 2.93, 2.99, N/A, 2.95, 2.97, 2.94
+21, 2.64, 3.21, 3.32, 3.37, N/A, 3.31, 3.28, 3.41
+22, 2.90, 3.28, 3.49, 3.53, N/A, 3.35, 3.46, 3.59
+23, 3.02, 3.33, 3.51, 3.61, N/A, 3.49, 3.50, 3.70
+24, 3.01, 3.39, 3.56, 3.66, N/A, 3.53, 3.47, 3.77
+--------------------------------------------------------
+# HOURLY HEATING & COOLING LOAD DATA (kWh): CASE 900 JAN 4
+Hour, ESP/DMU, BLAST/US-IT, DOE21D/NREL, SRES-SUN/NREL, SRES/BRE, S3PAS/SPAIN, TSYS/BEL-BRE, TASE/FINLAND
+1, 2.44, 3.10, 3.10, 3.39, N/A, 3.21, 3.08, 3.40
+2, 2.61, 3.20, 3.24, 3.54, N/A, 3.35, 3.20, 3.55
+3, 2.62, 3.20, 3.28, 3.56, N/A, 3.38, 3.28, 3.57
+4, 2.67, 3.31, 3.38, 3.61, N/A, 3.45, 3.33, 3.63
+5, 2.74, 3.37, 3.45, 3.67, N/A, 3.51, 3.42, 3.69
+6, 2.80, 3.40, 3.50, 3.72, N/A, 3.56, 3.47, 3.75
+7, 2.83, 3.45, 3.56, 3.76, N/A, 3.61, 3.52, 3.80
+8, 2.84, 3.38, 3.52, 3.75, N/A, 3.61, 3.46, 3.79
+9, 2.64, 2.90, 2.97, 3.17, N/A, 3.08, 2.83, 3.17
+10, 2.12, 2.35, 2.20, 2.32, N/A, 2.35, 2.06, 2.45
+11, 1.50, 1.40, 1.03, 0.95, N/A, 1.12, 0.79, 1.29
+12, 0.68, 0.38, 0.23, 0.10, N/A, 0.30, 0.04, 0.62
+13, 0.07, 0.00, 0.00, 0.00, N/A, 0.00, 0.00, 0.14
+14, 0.00, 0.00, 0.00, 0.00, N/A, 0.00, 0.00, 0.00
+15, 0.00, 0.00, 0.00, 0.00, N/A, 0.00, 0.00, 0.00
+16, 0.00, 0.00, 0.00, 0.00, N/A, 0.00, 0.00, 0.09
+17, 0.03, 0.12, 0.00, 0.28, N/A, 0.14, 0.13, 1.20
+18, 0.41, 0.77, 0.74, 1.22, N/A, 0.91, 0.76, 1.60
+19, 0.80, 1.31, 1.14, 1.61, N/A, 1.28, 1.20, 1.81
+20, 1.07, 1.61, 1.43, 1.82, N/A, 1.54, 1.46, 1.94
+21, 1.27, 1.93, 1.70, 2.04, N/A, 1.81, 1.70, 2.12
+22, 1.50, 2.14, 1.89, 2.17, N/A, 2.00, 1.93, 2.23
+23, 1.66, 2.22, 2.03, 2.29, N/A, 2.15, 2.09, 2.34
+24, 1.75, 2.31, 2.19, 2.42, N/A, 2.31, 2.23, 2.46
+--------------------------------------------------------
+# HOURLY ANNUAL ZONE TEMPERATURE BIN DATA (hours): CASE 900FF
+Temp, ESP/DMU, BLAST/US-IT, DOE21D/NREL, SRES-SUN/NREL, SRES/BRE, S3PAS/SPAIN, TSYS/BEL-BRE, TASE/FINLAND
+-50, 0, 0, 0, 0, 0, 0, 0, 0
+-49, 0, 0, 0, 0, 0, 0, 0, 0
+-48, 0, 0, 0, 0, 0, 0, 0, 0
+-47, 0, 0, 0, 0, 0, 0, 0, 0
+-46, 0, 0, 0, 0, 0, 0, 0, 0
+-45, 0, 0, 0, 0, 0, 0, 0, 0
+-44, 0, 0, 0, 0, 0, 0, 0, 0
+-43, 0, 0, 0, 0, 0, 0, 0, 0
+-42, 0, 0, 0, 0, 0, 0, 0, 0
+-41, 0, 0, 0, 0, 0, 0, 0, 0
+-40, 0, 0, 0, 0, 0, 0, 0, 0
+-39, 0, 0, 0, 0, 0, 0, 0, 0
+-38, 0, 0, 0, 0, 0, 0, 0, 0
+-37, 0, 0, 0, 0, 0, 0, 0, 0
+-36, 0, 0, 0, 0, 0, 0, 0, 0
+-35, 0, 0, 0, 0, 0, 0, 0, 0
+-34, 0, 0, 0, 0, 0, 0, 0, 0
+-33, 0, 0, 0, 0, 0, 0, 0, 0
+-32, 0, 0, 0, 0, 0, 0, 0, 0
+-31, 0, 0, 0, 0, 0, 0, 0, 0
+-30, 0, 0, 0, 0, 0, 0, 0, 0
+-29, 0, 0, 0, 0, 0, 0, 0, 0
+-28, 0, 0, 0, 0, 0, 0, 0, 0
+-27, 0, 0, 0, 0, 0, 0, 0, 0
+-26, 0, 0, 0, 0, 0, 0, 0, 0
+-25, 0, 0, 0, 0, 0, 0, 0, 0
+-24, 0, 0, 0, 0, 0, 0, 0, 0
+-23, 0, 0, 0, 0, 0, 0, 0, 0
+-22, 0, 0, 0, 0, 0, 0, 0, 0
+-21, 0, 0, 0, 0, 0, 0, 0, 0
+-20, 0, 0, 0, 0, 0, 0, 0, 0
+-19, 0, 0, 0, 0, 0, 0, 0, 0
+-18, 0, 0, 0, 0, 0, 0, 0, 0
+-17, 0, 0, 0, 0, 0, 0, 0, 0
+-16, 0, 0, 0, 0, 0, 0, 0, 0
+-15, 0, 0, 0, 0, 0, 0, 0, 0
+-14, 0, 0, 0, 0, 0, 0, 0, 0
+-13, 0, 0, 0, 0, 0, 0, 0, 0
+-12, 0, 0, 0, 0, 0, 0, 0, 0
+-11, 0, 0, 0, 0, 0, 0, 0, 0
+-10, 0, 0, 0, 0, 0, 0, 0, 0
+-9, 0, 0, 0, 0, 0, 0, 0, 0
+-8, 0, 0, 0, 0, 0, 0, 0, 0
+-7, 0, 0, 0, 0, 0, 0, 1, 0
+-6, 0, 0, 0, 0, 0, 0, 3, 2
+-5, 0, 0, 1, 2, 0, 0, 3, 4
+-4, 0, 1, 3, 3, 4, 4, 6, 5
+-3, 0, 3, 7, 5, 2, 3, 6, 7
+-2, 3, 5, 5, 7, 7, 8, 12, 10
+-1, 3, 6, 10, 7, 5, 5, 13, 18
+0, 8, 10, 18, 19, 18, 18, 12, 20
+1, 6, 17, 17, 19, 10, 20, 12, 12
+2, 18, 14, 18, 13, 20, 14, 20, 16
+3, 18, 19, 19, 15, 15, 19, 18, 25
+4, 17, 14, 20, 23, 20, 21, 20, 24
+5, 18, 25, 30, 28, 24, 27, 26, 27
+6, 22, 19, 25, 29, 27, 30, 34, 35
+7, 31, 33, 37, 28, 28, 33, 29, 45
+8, 30, 34, 51, 46, 33, 46, 44, 59
+9, 42, 42, 59, 62, 57, 61, 55, 73
+10, 51, 54, 84, 69, 53, 71, 57, 118
+11, 67, 72, 107, 111, 89, 116, 95, 134
+12, 90, 115, 139, 137, 112, 127, 127, 138
+13, 115, 137, 153, 141, 142, 157, 143, 173
+14, 156, 159, 158, 154, 151, 160, 162, 183
+15, 172, 165, 206, 188, 178, 207, 183, 234
+16, 215, 198, 239, 232, 195, 224, 234, 274
+17, 244, 245, 274, 253, 248, 255, 273, 298
+18, 293, 277, 350, 301, 266, 315, 296, 342
+19, 338, 317, 322, 336, 332, 347, 356, 352
+20, 387, 365, 375, 342, 344, 352, 346, 331
+21, 398, 358, 392, 362, 361, 366, 388, 334
+22, 385, 372, 364, 329, 376, 349, 380, 343
+23, 396, 341, 370, 348, 366, 357, 366, 349
+24, 380, 368, 381, 352, 341, 341, 401, 338
+25, 417, 357, 432, 361, 397, 392, 404, 404
+26, 455, 389, 431, 373, 426, 399, 436, 393
+27, 459, 420, 415, 415, 418, 403, 465, 396
+28, 445, 463, 452, 390, 446, 440, 412, 411
+29, 459, 419, 410, 405, 432, 396, 408, 391
+30, 415, 396, 404, 418, 422, 395, 398, 362
+31, 406, 393, 342, 401, 389, 360, 335, 342
+32, 369, 348, 349, 341, 334, 337, 348, 322
+33, 339, 315, 309, 330, 338, 306, 310, 291
+34, 277, 321, 242, 285, 311, 306, 297, 266
+35, 230, 303, 197, 246, 262, 256, 202, 210
+36, 191, 254, 185, 213, 203, 217, 197, 169
+37, 164, 195, 136, 156, 189, 166, 161, 151
+38, 108, 175, 92, 146, 137, 138, 97, 132
+39, 71, 99, 74, 112, 103, 97, 86, 85
+40, 37, 66, 35, 90, 71, 57, 48, 59
+41, 15, 32, 16, 58, 35, 31, 22, 32
+42, 0, 25, 5, 36, 18, 10, 11, 20
+43, 0, 5, 0, 18, 5, 1, 2, 1
+44, 0, 0, 0, 5, 0, 0, 0, 0
+45, 0, 0, 0, 0, 0, 0, 0, 0
+46, 0, 0, 0, 0, 0, 0, 0, 0
+47, 0, 0, 0, 0, 0, 0, 0, 0
+48, 0, 0, 0, 0, 0, 0, 0, 0
+49, 0, 0, 0, 0, 0, 0, 0, 0
+50, 0, 0, 0, 0, 0, 0, 0, 0
+51, 0, 0, 0, 0, 0, 0, 0, 0
+52, 0, 0, 0, 0, 0, 0, 0, 0
+53, 0, 0, 0, 0, 0, 0, 0, 0
+54, 0, 0, 0, 0, 0, 0, 0, 0
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+56, 0, 0, 0, 0, 0, 0, 0, 0
+57, 0, 0, 0, 0, 0, 0, 0, 0
+58, 0, 0, 0, 0, 0, 0, 0, 0
+59, 0, 0, 0, 0, 0, 0, 0, 0
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+61, 0, 0, 0, 0, 0, 0, 0, 0
+62, 0, 0, 0, 0, 0, 0, 0, 0
+63, 0, 0, 0, 0, 0, 0, 0, 0
+64, 0, 0, 0, 0, 0, 0, 0, 0
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+78, 0, 0, 0, 0, 0, 0, 0, 0
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+80, 0, 0, 0, 0, 0, 0, 0, 0
+81, 0, 0, 0, 0, 0, 0, 0, 0
+82, 0, 0, 0, 0, 0, 0, 0, 0
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+85, 0, 0, 0, 0, 0, 0, 0, 0
+86, 0, 0, 0, 0, 0, 0, 0, 0
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+88, 0, 0, 0, 0, 0, 0, 0, 0
+89, 0, 0, 0, 0, 0, 0, 0, 0
+90, 0, 0, 0, 0, 0, 0, 0, 0
+91, 0, 0, 0, 0, 0, 0, 0, 0
+92, 0, 0, 0, 0, 0, 0, 0, 0
+93, 0, 0, 0, 0, 0, 0, 0, 0
+94, 0, 0, 0, 0, 0, 0, 0, 0
+95, 0, 0, 0, 0, 0, 0, 0, 0
+96, 0, 0, 0, 0, 0, 0, 0, 0
+97, 0, 0, 0, 0, 0, 0, 0, 0
+98, 0, 0, 0, 0, 0, 0, 0, 0
+--------------------------------------------------------
\ No newline at end of file
diff --git a/Buildings/Resources/src/ThermalZones/Detailed/Validation/BESTEST/simulateAndPlot.py b/Buildings/Resources/src/ThermalZones/Detailed/Validation/BESTEST/simulateAndPlot.py
new file mode 100644
index 00000000000..c56530847f2
--- /dev/null
+++ b/Buildings/Resources/src/ThermalZones/Detailed/Validation/BESTEST/simulateAndPlot.py
@@ -0,0 +1,1112 @@
+#!/usr/bin/env python3
+
+import matplotlib
+matplotlib.use('Agg')
+
+import matplotlib.pyplot as plt
+
+import io
+import json
+import os
+import sys
+import shutil
+
+# If true, run simulations and not only the post processing.
+DO_SIMULATIONS = True
+# If true, delete the simulation result files.
+CLEAN_MAT = True
+# If true, temporary directories will be deleted.
+DelTemDir = True
+
+CWD = os.getcwd()
+
+# BuildingsPy working branch.
+# The working branch makes the communication points ('ncp') of jmodelica or optimica to be 8761,
+# so that the regression test will generate high resolution results.
+BP_BRANCH = 'issue335_high_ncp'
+# simulator, JModelica and optimica are supported
+TOOL = 'optimica'
+
+# standard data file
+ASHRAE_DATA = './ASHRAE140_data.dat'
+PACKAGE = 'Buildings.ThermalZones.Detailed.Validation.BESTEST'
+CASES = ['Case600', 'Case600FF', 'Case610', 'Case620', 'Case630', 'Case640', 'Case650', 'Case650FF', \
+ 'Case900', 'Case900FF', 'Case920', 'Case940', 'Case950', 'Case950FF', 'Case960']
+
+plt.rc('axes', labelsize=9)
+plt.rc('xtick', labelsize=9)
+plt.rc('ytick', labelsize=9)
+plt.rc('legend', fontsize=9)
+plt.rcParams['axes.facecolor']='whitesmoke'
+
+def save_plot(figure, file_name):
+ """ Save the figure to a pdf and png file in the directory `img`
+ """
+
+ out_dir = "../../../../../Images/ThermalZones/Detailed/Validation/BESTEST"
+ if not os.path.exists(out_dir):
+ os.makedirs(out_dir)
+ figure.savefig(os.path.join(out_dir, '{}.pdf'.format(file_name)))
+ figure.savefig(os.path.join(out_dir, '{}.png'.format(file_name)))
+ plt.clf()
+
+def configure_axes(axes):
+ """ Configure the axis style
+ """
+ axes.spines['right'].set_linewidth(0.25)
+ axes.spines['right'].set_color('lightgrey')
+ axes.spines['top'].set_visible(False)
+ axes.spines['left'].set_linewidth(0.25)
+ axes.spines['left'].set_color('lightgrey')
+ axes.spines['bottom'].set_visible(False)
+ axes.grid(color='lightgrey', linewidth=0.25)
+ return
+
+def create_library_directory(repoNam):
+ ''' Create directory to be as temporary directory to save library.
+ '''
+ import tempfile
+ import getpass
+ if repoNam == 'MBL':
+ prefixName = 'tmp-MBL-'
+ else:
+ prefixName = 'tmp-BP-'
+ worDir = tempfile.mkdtemp( prefix=prefixName + getpass.getuser() )
+ print("Created directory {}".format(worDir))
+ return worDir
+
+def checkout_buildingspy_repository(working_directory):
+ ''' Clone buildingspy repository to working directory and checkout to target branch.
+ '''
+ from git import Repo
+ import git
+ print("*** Checking out BuildingsPy repository branch {} ***".format(BP_BRANCH))
+ git_url = "https://github.com/lbl-srg/BuildingsPy.git"
+ repo = Repo.clone_from(git_url, working_directory)
+ for sub_module in repo.submodules:
+ sub_module.update()
+ g = git.Git(working_directory)
+ g.checkout(BP_BRANCH)
+
+def copy_mbl(working_directory):
+ ''' Copy buildings library to working directory
+ '''
+ # This is a hack to get the local copy of the buildings library repository
+ des = working_directory
+ shutil.rmtree(des)
+ print("*** Copying Buildings library to {}".format(des))
+ mblPath = (os.path.sep).join((os.getcwd().split(os.path.sep))[:-7])
+ shutil.copytree(mblPath, des)
+
+def _runTests(tool, package, lib_dir, bp_dir):
+ ''' Run regression test, return the temporary directory path for the test.
+ '''
+ sys.path.insert(0, bp_dir)
+ import buildingspy.development.regressiontest as u
+
+ ut = u.Tester(tool=tool, skip_verification=True)
+ ut.batchMode(True)
+ ut.pedanticModelica(True)
+ ut.showGUI(False)
+ ut.deleteTemporaryDirectories(False)
+
+ path = os.path.join(lib_dir, 'Buildings')
+
+ ut.setLibraryRoot(path)
+ if package is not None:
+ ut.setSinglePackage(package)
+
+ # Run the regression tests
+ retVal = ut.run()
+ # List of temporary directories that were used to run the simulations
+ tempDir = ut._temDir
+
+ return tempDir
+
+def _get_results_directory(lib_dir, bp_dir):
+ ''' Trigger the regression test, return the list of temporary directories of the regression tests.
+ '''
+ resultDirs = list()
+ tempDirs = _runTests(TOOL, PACKAGE, lib_dir, bp_dir)
+ for tempDir in tempDirs:
+ resultDirs.append(tempDir)
+ return resultDirs
+
+def _move_results(resultDirs):
+ ''' Move the mat file from the temporary directory of regression test, to current directory.
+ '''
+ mat_dir = os.path.join(CWD, 'mat')
+ if not os.path.exists(mat_dir):
+ os.makedirs(mat_dir)
+
+ for resultDir in resultDirs:
+ haveMat = False
+ for file in os.listdir(resultDir):
+ if file.endswith('.mat'):
+ haveMat = True
+ source = os.path.join(resultDir, file)
+ destination = os.path.join(mat_dir, file)
+ shutil.copyfile(source, destination)
+ if not haveMat:
+ raise ValueError("*** There is no result file in tmp folder: {}. Check the simulation. ***".format(resultDir))
+
+ if DelTemDir:
+ shutil.rmtree(resultDir)
+ print("*** After moving the result file, deleted the temporary directory {} . ***".format(resultDir))
+ else:
+ print("*** After moving the result file, kept the temporary directory {} . ***".format(resultDir))
+ _clean_record_files()
+
+def _clean_record_files():
+ files = os.listdir(CWD)
+ for item in files:
+ if item.endswith('.txt') or item.endswith('.c') \
+ or item.endswith('.log') or item.endswith('sim'):
+ os.remove(os.path.join(CWD, item))
+ if 'funnel_comp' in item:
+ shutil.rmtree(item)
+
+def _organize_cases(mat_dir):
+ ''' Create a list of dictionaries. Each dictionary include the case name and the mat file path.
+ '''
+ matFiles = list()
+ for file in os.listdir(mat_dir):
+ if file.endswith('.mat'):
+ matFiles.append(file)
+ caseList = list()
+ if len(CASES) == len(matFiles):
+ for case in CASES:
+ temp = {'case': case}
+ for matFile in matFiles:
+ tester = '_{}_'.format(case)
+ if tester in matFile:
+ temp['matFile'] = os.path.join(mat_dir, matFile)
+ caseList.append(temp)
+ else:
+ raise ValueError("*** There is failed simulation and has no result file. Check the simulations. ***")
+ return caseList
+
+# --------------------------------------------------------------------------------------------------
+# Extract needed time series data from modelica simulation results
+# --------------------------------------------------------------------------------------------------
+def _extract_data(matFile, relVal):
+ """
+ Extract time series data from mat file.
+
+ :param matFile: modelica simulation result path
+ :param relVal: list of variables that the data should be extracted
+ """
+ from buildingspy.io.outputfile import Reader
+ from buildingspy.io.postprocess import Plotter
+ import re
+
+ nPoi = 8761
+
+ try:
+ r = Reader(matFile, TOOL)
+ except IOError:
+ raise ValueError("Failed to read {}.".format(matFile))
+
+ result = list()
+ for var in relVal:
+ time = []
+ val = []
+ try:
+ var_mat = var
+ # Matrix variables in JModelica are stored in mat file with no space e.g. [1,1].
+ var_mat = re.sub(' ', '', var_mat)
+ (time, val) = r.values(var_mat)
+ tMin = float(min(time))
+ tMax = float(max(time))
+ ti = _getTimeGrid(tMin, tMax, nPoi)
+ except KeyError:
+ raise ValueError("Result {} does not have variable {}.".format(matFile, var))
+ else:
+ intVal = Plotter.interpolate(ti, time, val)
+ temp = {'variable': var,
+ 'time': ti,
+ 'value': intVal}
+ result.append(temp)
+ return result
+
+def _getTimeGrid(tMin, tMax, nPoi):
+ """
+ Return the time grid for the output result interpolation
+
+ :param tMin: Minimum time of the results.
+ :param tMax: Maximum time of the results.
+ :param nPoi: Number of result points.
+ """
+ return [tMin + float(i) / (nPoi - 1) * (tMax - tMin) for i in range(nPoi)]
+
+def get_time_series_result():
+ """
+ Extract time series data and organize the data structure.
+ """
+ mat_dir = os.path.join(CWD, 'mat')
+ # case name and the corresponded mat file path
+ cases = _organize_cases(mat_dir)
+
+ results = list()
+ for case in cases:
+ temp = {'case': case['case']}
+ if 'FF' in case['case']:
+ # free floating cases
+ resVal = ['TRooHou.y', 'TRooAnn.y']
+ else:
+ # cases with heating and cooling
+ resVal = ['PCoo.y', 'PHea.y', 'ECoo.y', 'EHea.y']
+ # extract time and value of the variables
+ time_series_data = _extract_data(case['matFile'], resVal)
+ temp['result'] = time_series_data
+ results.append(temp)
+ if CLEAN_MAT:
+ shutil.rmtree('mat')
+ return results
+# --------------------------------------------------------------------------------------------------
+
+# --------------------------------------------------------------------------------------------------
+# Extract necessary data set from time series data set of modelica simulation results
+# --------------------------------------------------------------------------------------------------
+def _find_date(day):
+ """
+ Return the exactly date
+
+ :param day: which day it is in the 365 days of one year
+ """
+ if day > 0 and day<=31:
+ mon = 'Jan'
+ date = day
+ elif day>31 and day <= 59:
+ mon = 'Feb'
+ date = day - 31
+ elif day > 59 and day <= 90:
+ mon = 'Mar'
+ date = day - 59
+ elif day > 90 and day <= 120:
+ mon = 'Apr'
+ date = day - 90
+ elif day > 120 and day <= 151:
+ mon = 'May'
+ date = day - 120
+ elif day > 151 and day <= 181:
+ mon = 'Jun'
+ date = day - 151
+ elif day > 181 and day <= 212:
+ mon = 'Jul'
+ date = day - 181
+ elif day > 212 and day <= 243:
+ mon = 'Aug'
+ date = day - 212
+ elif day > 243 and day <= 273:
+ mon = 'Sep'
+ date = day - 243
+ elif day > 273 and day <= 304:
+ mon = 'Oct'
+ date = day - 273
+ elif day > 304 and day <= 334:
+ mon = 'Nov'
+ date = day - 304
+ else:
+ mon = 'Dec'
+ date = day - 334
+ return '{}-{}'.format(int(date), mon)
+
+def _convert_to_dateHour(hour):
+ """
+ Return the exactly date and hour in one year
+
+ :param hour: which hour it is in the 8760 hours of one year
+ """
+ import numpy as np
+ dayOfYear = np.floor(hour/24) + 1
+ whichDate = _find_date(dayOfYear)
+ whichHour = hour - (dayOfYear-1)*24
+ if hour > 8759:
+ whichDate = '31-Dec'
+ whichHour = 24.0
+ return '{}:{}'.format(whichDate, int(whichHour))
+
+def _find_peak(data, isTemp, flag):
+ """
+ Find the peak value and when it is happens
+
+ :param data: data set
+ :param flag: check it is maximum or minimum
+ """
+ import numpy as np
+ valueSet = data['value']
+ secondSet = data['time']
+ if flag == 'max':
+ maxValue = max(valueSet)
+ value = '{:.1f}'.format(maxValue -273.15) if isTemp else '{:.3f}'.format(abs(maxValue / 1000))
+ pos = _find_pos(valueSet, maxValue)
+ second_in_year = secondSet[pos]
+ hour_in_year = np.floor(second_in_year/3600)
+ else:
+ minValue = _min_temperature(valueSet) if isTemp else min(valueSet)
+ value = '{:.1f}'.format(minValue -273.15) if isTemp else '{:.3f}'.format(abs(minValue / 1000))
+ pos = _find_pos(valueSet, minValue)
+ second_in_year = secondSet[pos]
+ hour_in_year = np.floor(second_in_year/3600)
+ dateHour = _convert_to_dateHour(hour_in_year)
+ return {'value': value, 'hour': dateHour}
+
+def _min_temperature(data):
+ minTemp = 273.15 + 100
+ for i in range(len(data)):
+ ithTemp = data[i]
+ if ithTemp > 150 and ithTemp < minTemp:
+ minTemp = ithTemp
+ return minTemp
+
+def _find_pos(data, value):
+ pos = 1e+10
+ for i in range(len(data)):
+ if data[i] == value:
+ pos = i
+ return pos
+
+def _find_load(dataSet):
+ """
+ Return the load profile by adding the heating load an cooling load
+
+ :param dataSet: data set in which heating and cooling load should be summed to a load
+ """
+ for varVal in dataSet:
+ if varVal['variable'] == 'PCoo.y':
+ cooLoa = varVal['value']
+ if varVal['variable'] == 'PHea.y':
+ heaLoa = varVal['value']
+ load = list()
+ for i in range(len(cooLoa)):
+ load.append(cooLoa[i] + heaLoa[i])
+ return load
+
+def _find_data_bin(dataSet):
+ import numpy as np
+ totalBin = 98+50+1
+ results = list()
+ results = ['0' for i in range(totalBin)]
+ results = np.zeros(totalBin)
+ for i in range(totalBin-1):
+ lowTem = i - 50
+ counter = 0
+ for j in range(len(dataSet)):
+ degC = dataSet[j] - 273.15
+ if degC >= lowTem and degC < lowTem + 1:
+ counter += 1
+ results[i] = '{}'.format(int(counter))
+ return results
+
+def get_mo_data(data_set):
+ MWh = 3600*1e6
+ results = list()
+ for data in data_set:
+ temp = {'case': data['case']}
+ # free-floating cases
+ if 'FF' in data['case']:
+ for varVal in data['result']:
+ if varVal['variable'] == 'TRooAnn.y':
+ annAveTemp = varVal['value'][-1]
+ else:
+ peaMax = _find_peak(varVal, True, 'max')
+ peaMin = _find_peak(varVal, True, 'min')
+ Jan4 = varVal['value'][73:97]
+ Jul27 = varVal['value'][4969:4993]
+ binData = _find_data_bin(varVal['value'])
+ temp1 = {'annAveTem': '{:.1f}'.format(annAveTemp-273.15),
+ 'peaMax': peaMax,
+ 'peaMin': peaMin,
+ 'Jan4': ['{:.2f}'.format(ele - 273.15) for ele in Jan4],
+ 'Jul27': ['{:.2f}'.format(ele - 273.15) for ele in Jul27],
+ 'binData': binData}
+ else:
+ for varVal in data['result']:
+ if varVal['variable'] == 'PCoo.y':
+ pCoo = _find_peak(varVal, False, 'min')
+ elif varVal['variable'] == 'PHea.y':
+ pHea = _find_peak(varVal, False, 'max')
+ elif varVal['variable'] == 'ECoo.y':
+ eCoo = varVal['value'][-1]
+ else:
+ eHea = varVal['value'][-1]
+ load = _find_load(data['result'])
+ temp1 = {'peaCoo': pCoo,
+ 'peaHea': pHea,
+ 'Jan4': ['{:.2f}'.format(ele / 1000) for ele in load[73:97]],
+ 'eCoo': '{:.3f}'.format(abs(eCoo / MWh)),
+ 'eHea': '{:.3f}'.format(abs(eHea / MWh))}
+ temp['extData'] = list()
+ temp['extData'].append(temp1)
+ results.append(temp)
+ return results
+
+def _filter_cases(caseType):
+ """
+ Return free-floating or not free-floating cases list
+
+ :param caseType: case type, 'free-float' or 'non-free-float'
+ """
+ caseList = list()
+ for case in CASES:
+ if caseType == 'free-float':
+ if 'FF' in case:
+ caseList.append(case)
+ else:
+ if 'FF' not in case:
+ caseList.append(case)
+ return caseList
+# --------------------------------------------------------------------------------------------------
+
+# --------------------------------------------------------------------------------------------------
+# Read ASHRAE140 data from external file and write it to a dictionary
+# --------------------------------------------------------------------------------------------------
+def parse_standard_data():
+ dataList = get_data_list()
+ _add_data(dataList)
+ _filter_data_set(dataList)
+ _refactor_data_structure(dataList)
+ return dataList
+
+def _value_and_hour(peakList):
+ """
+ Return dictionary of the peak value and the hour
+
+ :param peakList: list of peak value and the hour, the element has the form like '64.9(17-Oct:15)'
+ """
+ peakValue = list()
+ peakHour = list()
+ for i in range(len(peakList)):
+ peak = peakList[i]
+ if '(' in peak:
+ leftBra = peak.index('(')
+ value = peak[0:leftBra]
+ hour = peak[leftBra+1:-1]
+ else:
+ value = peak
+ hour = 'N/A'
+ peakValue.append(value)
+ peakHour.append(hour)
+ return {'value': peakValue, 'hour': peakHour}
+
+def get_data_list():
+ """
+ Return structure of the standard data list
+ """
+ allTool = ['ESP/DMU', 'BLAST/US-IT', 'DOE21D/NREL', 'SRES-SUN/NREL', \
+ 'SRES/BRE', 'S3PAS/SPAIN', 'TSYS/BEL-BRE', 'TASE/FINLAND']
+ lessTool = ['ESP/DMU', 'BLAST/US-IT', 'DOE21D/NREL', 'SRES-SUN/NREL', \
+ 'S3PAS/SPAIN', 'TSYS/BEL-BRE', 'TASE/FINLAND']
+ dataList = list()
+ dataList.append({'data_set': 'annual_heating', \
+ 'data_head': '# Table B8-1. Annual Heating Loads (MWh)', \
+ 'tools': allTool})
+ dataList.append({'data_set': 'annual_cooling', \
+ 'data_head': '# Table B8-2. Annual Sensible Cooling Loads (MWh)', \
+ 'tools': allTool})
+ dataList.append({'data_set': 'peak_heating', \
+ 'data_head': '# Table B8-3. Annual Hourly Integrated Peak Heating Loads (kW)', \
+ 'tools': lessTool})
+ dataList.append({'data_set': 'peak_cooling', \
+ 'data_head': '# Table B8-4. Annual Hourly Integrated Peak Sensible Cooling Loads (kW)', \
+ 'tools': lessTool})
+ dataList.append({'data_set': 'max_temperature', \
+ 'data_head': '# MAXIMUM ANNUAL HOURLY INTEGRATED ZONE TEMPERATURE', \
+ 'tools': lessTool})
+ dataList.append({'data_set': 'min_temperature', \
+ 'data_head': '# MINIMUM ANNUAL HOURLY INTEGRATED ZONE TEMPERATURE', \
+ 'tools': lessTool})
+ dataList.append({'data_set': 'ave_temperature', \
+ 'data_head': '# AVERAGE ANNUAL HOURLY INTEGRATED ZONE TEMPERATURE', \
+ 'tools': allTool})
+ dataList.append({'data_set': 'FF_temperature_600FF_Jan4', \
+ 'data_head': '# HOURLY FREE FLOAT TEMPERATURE DATA (degC): CASE 600FF, JAN 4', \
+ 'tools': lessTool})
+ dataList.append({'data_set': 'FF_temperature_900FF_Jan4', \
+ 'data_head': '# HOURLY FREE FLOAT TEMPERATURE DATA (degC): CASE 900FF, JAN 4', \
+ 'tools': lessTool})
+ dataList.append({'data_set': 'FF_temperature_650FF_Jul27', \
+ 'data_head': '# HOURLY FREE FLOAT TEMPERATURE DATA (degC): CASE 650FFV, JULY 27', \
+ 'tools': lessTool})
+ dataList.append({'data_set': 'FF_temperature_950FF_Jul27', \
+ 'data_head': '# HOURLY FREE FLOAT TEMPERATURE DATA (degC): CASE 950FFV, JULY 27', \
+ 'tools': lessTool})
+ dataList.append({'data_set': 'hourly_load_600_Jan4', \
+ 'data_head': '# HOURLY HEATING & COOLING LOAD DATA (kWh): CASE 600 JAN 4', \
+ 'tools': lessTool})
+ dataList.append({'data_set': 'hourly_load_900_Jan4', \
+ 'data_head': '# HOURLY HEATING & COOLING LOAD DATA (kWh): CASE 900 JAN 4', \
+ 'tools': lessTool})
+ dataList.append({'data_set': 'bin_temperature_900FF', \
+ 'data_head': '# HOURLY ANNUAL ZONE TEMPERATURE BIN DATA (hours): CASE 900FF', \
+ 'tools': allTool})
+ return dataList
+
+def _add_data(dataList):
+ """
+ Add the standard data to the data structure
+
+ :param dataList: the structure to be added data into it
+ """
+ data_file = open(ASHRAE_DATA)
+ count = 0
+ startLine = 0
+ table_end = True
+ data_head = ''
+ for line in data_file:
+ count += 1
+ for i in range(len(dataList)):
+ if dataList[i]['data_head'] in line:
+ singleTable = dataList[i]
+ data_head = singleTable['data_head']
+ startLine = count + 2
+ table_end = False
+ temp = list()
+ if '-----' in line:
+ table_end = True
+ startLine = 0
+ data_head = ''
+ singleTable['data'] = temp
+ if count >= startLine and startLine > 0 and not table_end:
+ data = get_line_data(line, singleTable)
+ temp.append(data)
+ data_file.close()
+
+def get_line_data(line, table):
+ """
+ Return the data from one line, as dictionary like {'name': 'Case600', 'value': []}
+
+ :param line: the line text to be parsed
+ :param table: table type
+ """
+ data_set = table['data_set']
+ # split the line
+ lineList = [ele.strip() for ele in line.split(',')]
+ for i in range(len(lineList)):
+ if lineList[i] == 'N/A':
+ lineList[i] = '0.000'
+ # annual heating/cooling energy, or, average temperature for free-floating cases
+ if 'annual_' in data_set or 'ave_' in data_set:
+ temp = {'firstCol': 'Case{}'.format(lineList[0])}
+ temp['value'] = lineList[1:]
+ # peak heating/cooling load, or maximum or minimum temperature of free-floating cases
+ # it should also have entries of 'hour' or when it happens
+ elif 'peak_' in data_set or 'max_' in data_set or 'min_' in data_set:
+ temp = {'firstCol': 'Case{}'.format(lineList[0])}
+ # remove the 5th item
+ lineList.pop(5)
+ resultsList = lineList[1:]
+ valueHour = _value_and_hour(resultsList)
+ temp['value'] = valueHour['value']
+ temp['hour'] = valueHour['hour']
+ # 24-hour profile of free-floating temperature, or load
+ elif 'FF_temperature' in data_set or 'hourly_load' in data_set:
+ temp = {'firstCol': lineList[0]}
+ lineList.pop(5)
+ temp['value'] = lineList[1:]
+ # hourly temperature bin data
+ else:
+ temp = {'firstCol': lineList[0]}
+ temp['value'] = lineList[1:]
+ return temp
+
+def _refactor_data_structure(dataList):
+ """
+ Transpose of the standard data set
+
+ :param dataList: standard data set
+ """
+ for ele in dataList:
+ data = ele['data']
+ col_1 = list()
+ col_2 = list()
+ col_3 = list()
+ col_4 = list()
+ col_5 = list()
+ col_6 = list()
+ col_7 = list()
+ col_8 = list()
+ col_9 = list()
+
+ col_1_hr = list()
+ col_2_hr = list()
+ col_3_hr = list()
+ col_4_hr = list()
+ col_5_hr = list()
+ col_6_hr = list()
+ col_7_hr = list()
+ col_8_hr = list()
+ haveHour = False
+ allTool = False
+ for row in data:
+ col_1.append(row['firstCol'])
+ col_2.append(row['value'][0])
+ col_3.append(row['value'][1])
+ col_4.append(row['value'][2])
+ col_5.append(row['value'][3])
+ col_6.append(row['value'][4])
+ col_7.append(row['value'][5])
+ col_8.append(row['value'][6])
+ if len(row['value']) > 7:
+ allTool = True
+ col_9.append(row['value'][7])
+ if 'hour' in row:
+ haveHour = True
+ col_1_hr.append(row['hour'][0])
+ col_2_hr.append(row['hour'][1])
+ col_3_hr.append(row['hour'][2])
+ col_4_hr.append(row['hour'][3])
+ col_5_hr.append(row['hour'][4])
+ col_6_hr.append(row['hour'][5])
+ col_7_hr.append(row['hour'][6])
+ if allTool:
+ col_8_hr.append(row['hour'][7])
+ ele['data'] = list()
+ temp = {'firstCol': col_1}
+ temp['ESP/DMU'] = col_2
+ temp['BLAST/US-IT'] = col_3
+ temp['DOE21D/NREL'] = col_4
+ temp['SRES-SUN/NREL'] = col_5
+ if allTool:
+ temp['SRES/BRE'] = col_6
+ temp['S3PAS/SPAIN'] = col_7
+ temp['TSYS/BEL-BRE'] = col_8
+ temp['TASE/FINLAND'] = col_9
+ else:
+ temp['S3PAS/SPAIN'] = col_6
+ temp['TSYS/BEL-BRE'] = col_7
+ temp['TASE/FINLAND'] = col_8
+ if haveHour:
+ temp['ESP/DMU_hour'] = col_1_hr
+ temp['BLAST/US-IT_hour'] = col_2_hr
+ temp['DOE21D/NREL_hour'] = col_3_hr
+ temp['SRES-SUN/NREL_hour'] = col_4_hr
+ if allTool:
+ temp['SRES/BRE_hour'] = col_5_hr
+ temp['S3PAS/SPAIN_hour'] = col_6_hr
+ temp['TSYS/BEL-BRE_hour'] = col_7_hr
+ temp['TASE/FINLAND_hour'] = col_8_hr
+ else:
+ temp['S3PAS/SPAIN_hour'] = col_5_hr
+ temp['TSYS/BEL-BRE_hour'] = col_6_hr
+ temp['TASE/FINLAND_hour'] = col_7_hr
+ ele['data'].append(temp)
+
+def _filter_data_set(dataList):
+ """
+ Filter the standard data set so to keep only the cases that are simulated in modelica buildings library
+
+ :param dataList: the set of entire standard data
+ """
+ for ele in dataList:
+ table_name = ele['data_set']
+ if 'annual_' in table_name or 'ave_' in table_name or \
+ 'peak_' in table_name or 'max_' in table_name or 'min_' in table_name:
+ temp = list()
+ for case in CASES:
+ for data in ele['data']:
+ if case == data['firstCol']:
+ temp.append(data)
+ ele['data'] = list()
+ ele['data'] = temp
+# --------------------------------------------------------------------------------------------------
+
+# --------------------------------------------------------------------------------------------------
+# Add modelica simulation results to ASHRAE-140 data set
+# --------------------------------------------------------------------------------------------------
+def combine_data(standard_data, moData):
+ """
+ Add modelica buildings library simulation results to standard results set
+
+ :param standard_data: data set from ASHRAE-140
+ :param moData: data set extract from Modelica simulation
+ """
+ tool = 'MBL/LBNL'
+ temp = list()
+ for i in range(len(standard_data)):
+ ithData = standard_data[i]
+ data_set = ithData['data_set']
+ if 'annual_heating' in data_set:
+ temp.append(_add_to_standard('eHea', moData, ithData, tool, False))
+ if 'annual_cooling' in data_set:
+ temp.append(_add_to_standard('eCoo', moData, ithData, tool, False))
+ if 'peak_heating' in data_set:
+ temp.append(_add_to_standard('peaHea', moData, ithData, tool, True))
+ if 'peak_cooling' in data_set:
+ temp.append(_add_to_standard('peaCoo', moData, ithData, tool, True))
+ if 'max_temperature' in data_set:
+ temp.append(_add_to_standard('peaMax', moData, ithData, tool, True))
+ if 'min_temperature' in data_set:
+ temp.append(_add_to_standard('peaMin', moData, ithData, tool, True))
+ if 'ave_temperature' in data_set:
+ temp.append(_add_to_standard('annAveTem', moData, ithData, tool, False))
+ if 'FF_temperature_600FF_Jan4' in data_set or \
+ 'FF_temperature_900FF_Jan4' in data_set or \
+ 'hourly_load_600_Jan4' in data_set or \
+ 'hourly_load_900_Jan4' in data_set:
+ temp.append(_addSingleCase_to_standard('Jan4', data_set, moData, ithData, tool))
+ if 'FF_temperature_650FF_Jul27' in data_set or \
+ 'FF_temperature_950FF_Jul27' in data_set:
+ temp.append(_addSingleCase_to_standard('Jul27', data_set, moData, ithData, tool))
+ if 'bin_temperature_900FF' in data_set:
+ temp.append(_addSingleCase_to_standard('binData', data_set, moData, ithData, tool))
+ return temp
+
+def _add_to_standard(keyWord, moData, oneSet, tool, haveHour):
+ newSet = oneSet
+ temp = list()
+ tools = list()
+ for ele in newSet['tools']:
+ tools.append(ele)
+ tools.append(tool)
+ if haveHour:
+ temp_hour = list()
+ tool_hour = '{}_hour'.format(tool)
+ for case in newSet['data'][0]['firstCol']:
+ for caseData in moData:
+ if caseData['case'] == case:
+ extVal = caseData['extData'][0][keyWord]
+ if haveHour:
+ temp.append(extVal['value'])
+ temp_hour.append(extVal['hour'])
+ else:
+ temp.append(extVal)
+ newSet['tools'] = tools
+ newSet['data'][0][tool] = temp
+ if haveHour:
+ newSet['data'][0][tool_hour] = temp_hour
+ return newSet
+
+def _addSingleCase_to_standard(keyWord, table_name, moData, oneSet, tool):
+ newSet = oneSet
+ tools = list()
+ for ele in newSet['tools']:
+ tools.append(ele)
+ tools.append(tool)
+ textList = ['Case{}'.format(ele) for ele in table_name.split('_')]
+ curCase = ''
+ for case in CASES:
+ for singleText in textList:
+ if case == singleText:
+ curCase = case
+ for caseData in moData:
+ if caseData['case'] == curCase:
+ newSet['data'][0][tool] = caseData['extData'][0][keyWord]
+ newSet['tools'] = tools
+ return newSet
+# --------------------------------------------------------------------------------------------------
+
+# --------------------------------------------------------------------------------------------------
+# Generate plots
+# --------------------------------------------------------------------------------------------------
+def bar_compare(data, yLabel, minimum, maximum):
+ import numpy as np
+
+ tools = ['ESP/DMU', 'BLAST/US-IT', 'DOE21D/NREL', 'SRES-SUN/NREL', \
+ 'SRES/BRE', 'S3PAS/SPAIN', 'TSYS/BEL-BRE', 'TASE/FINLAND', 'MBL/LBNL']
+ fillColor = plt.get_cmap('tab20c')
+ yLim = [minimum, maximum]
+ pltName = data['data_set']
+ plt.clf()
+ fig, ax = plt.subplots(figsize=(10,5))
+ dataSet = data['data'][0]
+ cases = dataSet['firstCol']
+ toolData = dict()
+ for i in range(len(tools)):
+ if tools[i] in dataSet:
+ toolData[tools[i]] = [float(ele) for ele in dataSet[tools[i]]]
+ # total number of tools
+ totalTool = len(toolData)
+ keySet = list()
+ for key in toolData:
+ keySet.append(key)
+ # total number of bar sets
+ index = np.arange(len(cases))
+
+ bar_width = 0.08
+ opacity = 0.8
+ staPos = 0
+ for i in range(totalTool):
+ fColor = 'k' if i == totalTool-1 else fillColor(i)
+ ax.bar(index + staPos, toolData[keySet[i]], bar_width, alpha=opacity, color=fColor, label=keySet[i])
+ staPos = staPos + bar_width
+ ax.set_ylim(yLim)
+ ax.set_ylabel(yLabel)
+ ax.set_xticks(index + (totalTool-1)*bar_width/2)
+ ax.set_xticklabels(cases, rotation=90)
+ fig.legend(loc='lower left', frameon=True, bbox_to_anchor=(0, 1.01, 1, 0.2), ncol = 5, mode = 'expand', bbox_transform=ax.transAxes)
+ # fig.legend(loc='lower center', frameon=True, bbox_to_anchor=(0.2, -0.02, 1.0, 0.2), ncol = 5, mode = 'expand', bbox_transform=fig.transFigure)
+ ax.grid(color='lightgrey', axis='y', linewidth=0.25)
+
+ for spine in ax.spines.values():
+ spine.set_visible(False)
+ plt.tick_params(axis=u'x', which=u'both', length=0)
+ plt.subplots_adjust(bottom=0.2)
+ for spine in plt.gca().spines.values():
+ spine.set_visible(False)
+ save_plot(plt, pltName)
+
+def plot_lines(data, xLabel, yLabel, xMin, xMax, dx, yMin, yMax):
+ import numpy as np
+ tools = ['ESP/DMU', 'BLAST/US-IT', 'DOE21D/NREL', 'SRES-SUN/NREL', \
+ 'SRES/BRE', 'S3PAS/SPAIN', 'TSYS/BEL-BRE', 'TASE/FINLAND', 'MBL/LBNL']
+ lineColor = plt.get_cmap('tab20c')
+ lineMarker = ['.', ',', 'o', 's', 'p', '*', 'x', '+', 'd']
+ pltName = data['data_set']
+ plt.clf()
+ _,ax = plt.subplots(figsize=(10,5))
+ configure_axes(ax)
+ dataSet = data['data'][0]
+ xSet = [float(ele) for ele in dataSet['firstCol']]
+ xticks = np.arange(xMin, xMax, dx)
+ toolData = dict()
+ for i in range(len(tools)):
+ if tools[i] in dataSet:
+ toolData[tools[i]] = [float(ele) for ele in dataSet[tools[i]]]
+ # total number of tools
+ totalTool = len(toolData)
+ keySet = list()
+ for key in toolData:
+ keySet.append(key)
+ for i in range(totalTool):
+ lineCo = 'k' if i==totalTool-1 else lineColor(i)
+ lineWt = 1.0 if i==totalTool-1 else 0.5
+ markerShape = 'd' if i==totalTool-1 else lineMarker[i]
+ ax.plot(xSet, toolData[keySet[i]], color=lineCo, label=keySet[i], linewidth=lineWt, marker=markerShape, markersize=4)
+ ax.set_xticks(xticks)
+ ax.set_xlim([xMin, xMax])
+ ax.set_ylim([yMin, yMax])
+ ax.set_xlabel(xLabel)
+ ax.set_ylabel(yLabel)
+ ax.legend(loc='lower left', frameon=True, bbox_to_anchor=(0, 1.01, 1, 0.2), ncol = 5, mode = 'expand', bbox_transform=ax.transAxes)
+ save_plot(plt, pltName)
+
+def plot_figures(comDat):
+ barPlot_variable = ['annual_heating', 'annual_cooling', 'peak_heating', 'peak_cooling', \
+ 'max_temperature', 'min_temperature', 'ave_temperature']
+ barPlot_yLabel = ['Annual Heating Load [MWh]', 'Annual Cooling Load [MWh]', 'Peak Heating Load [kW]', 'Peak Cooling Load [kW]', \
+ 'Maximum Temperature [degC]', 'Minimum Temperature [degC]', 'Average Temperature [degC]']
+ barPlot_yMin = [0, 0, 0, 0, 0, -25, 0]
+ barPlot_yMax = [8, 9, 8, 8, 80, 10, 35]
+ line_variable = ['FF_temperature_600FF_Jan4', 'FF_temperature_900FF_Jan4', 'FF_temperature_650FF_Jul27', \
+ 'FF_temperature_950FF_Jul27', 'hourly_load_600_Jan4', 'hourly_load_900_Jan4', 'bin_temperature_900FF']
+ line_xLable = ['Hour of Day (Case600FF, Jan4)', 'Hour of Day (Case900FF, Jan4)', 'Hour of Day (Case650FF, Jul27)', \
+ 'Hour of Day (Case950FF, Jul27)', 'Hour of Day (Case600, Jan4)', 'Hour of Day (Case900, Jan4)', 'Temperature Bins [degC] (Case900FF)']
+ line_yLable = ['Temperature [degC]', 'Temperature [degC]', 'Temperature [degC]', 'Temperature [degC]', \
+ 'Heating or Cooling Load [kW]', 'Heating or Cooling Load [kW]', 'Number of Occurrences']
+ line_xMin = [1, 1, 1, 1, 1, 1, -10]
+ line_xMax = [24, 24, 24, 24, 24, 24, 50]
+ line_dx = [1, 1, 1, 1, 1, 1, 5]
+ line_yMin = [-30, -30, 0, 0, -4, 0, 0]
+ line_yMax = [40, 40, 60, 60, 5, 4, 500]
+
+ for i in range(len(comDat)):
+ data = comDat[i]
+ if i < 7:
+ for j in range(len(barPlot_variable)):
+ if data['data_set'] == barPlot_variable[j]:
+ bar_compare(data, barPlot_yLabel[j], barPlot_yMin[j], barPlot_yMax[j])
+ else:
+ for k in range(len(line_variable)):
+ if data['data_set'] == line_variable[k]:
+ plot_lines(data, line_xLable[k], line_yLable[k], line_xMin[k], line_xMax[k], line_dx[k], line_yMin[k], line_yMax[k])
+# --------------------------------------------------------------------------------------------------
+
+# --------------------------------------------------------------------------------------------------
+# Generate html tables
+# --------------------------------------------------------------------------------------------------
+def update_html_tables(comDat):
+ allTools = '''
+
+| Case |
+ESP/DMU |
+BLAST/US-IT |
+DOE21D/NREL |
+SRES-SUN/NREL |
+SRES/BRE |
+S3PAS/SPAIN |
+TSYS/BEL-BRE |
+TASE/FINLAND |
+MBL/LBNL |
+
'''
+ lessTools = '''
+
+| Case |
+ESP/DMU |
+BLAST/US-IT |
+DOE21D/NREL |
+SRES-SUN/NREL |
+S3PAS/SPAIN |
+TSYS/BEL-BRE |
+TASE/FINLAND |
+MBL/LBNL |
+
'''
+ loadContent = _generate_load_tables(comDat, allTools, lessTools)
+ ffContent = _generate_ff_tables(comDat, lessTools)
+ userGuideFile = "../../../../../../ThermalZones/Detailed/Validation/BESTEST/UsersGuide.mo"
+ moFile = open(userGuideFile)
+ beforeTables = ''
+ betweenTables = ''
+ afterTables = ''
+ startSec = True
+ midSec = False
+ endSec = False
+ for line in moFile:
+ if startSec:
+ beforeTables = beforeTables + line
+ if ('' in line):
+ startSec = False
+ if ('' in line):
+ midSec = True
+ if midSec:
+ betweenTables = betweenTables + line
+ if ('' in line):
+ midSec = False
+ if ('' in line):
+ endSec = True
+ if endSec:
+ afterTables = afterTables + line
+ moFile.close()
+ newMoContent = beforeTables + loadContent \
+ + betweenTables + ffContent \
+ + afterTables
+ with open(userGuideFile, 'wt') as f:
+ f.write(newMoContent)
+
+def _generate_load_tables(comDat, allTools, lessTools):
+ for ele in comDat:
+ setName = ele['data_set']
+ if setName == 'annual_cooling':
+ annCoo = ele
+ if setName == 'annual_heating':
+ annHea = ele
+ if setName == 'peak_cooling':
+ peaCoo = ele
+ if setName == 'peak_heating':
+ peaHea = ele
+ tableText = '''
+| Annual heating load (MWh) |
''' + allTools
+ # add annual heating load data
+ annHeaLoa = _write_table_content(annHea)
+ tableText = tableText + annHeaLoa
+ # add annual cooling load data
+ tableText = tableText + '''| Annual cooling load (MWh) |
'''
+ tableText = tableText + allTools
+ annCooLoa = _write_table_content(annCoo)
+ tableText = tableText + annCooLoa + '''
+
'''
+
+ peakUnits = '''
+
+| kW | hour |
+kW | hour |
+kW | hour |
+kW | hour |
+kW | hour |
+kW | hour |
+kW | hour |
+kW | hour |
+
'''
+ # add peak heating load data
+ tableText = tableText + '''
+
+| Peak heating load (kW) |
'''
+ tableText = tableText + lessTools + peakUnits
+ peaHeaLoa = _write_table_content(peaHea)
+ tableText = tableText + peaHeaLoa
+ # add peak cooling load data
+ tableText = tableText + '''| Peak cooling load (kW) |
'''
+ tableText = tableText + lessTools + peakUnits
+ peaCooLoa = _write_table_content(peaCoo)
+ tableText = tableText + peaCooLoa + '''
+
+'''
+ return tableText
+
+def _generate_ff_tables(comDat, lessTools):
+ for ele in comDat:
+ setName = ele['data_set']
+ if setName == 'max_temperature':
+ maxTem = ele
+ if setName == 'min_temperature':
+ minTem = ele
+ peakUnits = '''
+
+| °C | hour |
+°C | hour |
+°C | hour |
+°C | hour |
+°C | hour |
+°C | hour |
+°C | hour |
+°C | hour |
+
'''
+ tableText = '''
+| Maximum temperature (°C) |
''' + lessTools + peakUnits
+ # add maximum temperature data
+ maxTemData = _write_table_content(maxTem)
+ tableText = tableText + maxTemData
+ # add minimum temperature data
+ tableText = tableText + '''| Minimum temperature (°C) |
'''
+ tableText = tableText + lessTools + peakUnits
+ minTemData = _write_table_content(minTem)
+ tableText = tableText + minTemData + '''
+
+'''
+ return tableText
+
+def _write_table_content(dataSet):
+ setName = dataSet['data_set']
+ data = dataSet['data'][0]
+ tools = dataSet['tools']
+ outText = ''
+ for i in range(len(data['firstCol'])):
+ temp = "" + os.linesep
+ temp = temp + "| {} | ".format(data['firstCol'][i]) + os.linesep
+ for j in range(len(tools)):
+ tool = tools[j]
+ temp = temp + "{} | ".format(data[tool][i]) + os.linesep
+ if 'peak_' in setName or 'max_' in setName or 'min_' in setName:
+ toolHour = '{}_hour'.format(tool)
+ temp = temp + "{} | ".format(data[toolHour][i]) + os.linesep
+ temp = temp + "
" + os.linesep
+ outText = outText + temp
+ return outText
+# --------------------------------------------------------------------------------------------------
+
+if __name__=="__main__":
+
+ if DO_SIMULATIONS:
+ # create directory to be as temporary buildings library directory
+ mbl_dir = create_library_directory('MBL')
+ copy_mbl(mbl_dir)
+
+ # create directory to be as temporary buildingspy directory
+ bp_dir = create_library_directory('BP')
+ checkout_buildingspy_repository(bp_dir)
+
+ # find temporary directories that were used for run simulations
+ resultDirs = _get_results_directory(mbl_dir, bp_dir)
+ shutil.rmtree(mbl_dir)
+ shutil.rmtree(bp_dir)
+
+ # move the mat files to current working directory
+ _move_results(resultDirs)
+
+ # get time series data from the mat file
+ time_series_data = get_time_series_result()
+
+ # from the time series data, get the datas used for comparison
+ moData = get_mo_data(time_series_data)
+
+ # parse standard data
+ standard_data = parse_standard_data()
+
+ # add data simulated with modelica buildings library, to the standard data
+ comDat = combine_data(standard_data, moData)
+
+ plot_figures(comDat)
+
+ # write html tables to mo file
+ update_html_tables(comDat)
diff --git a/Buildings/ThermalZones/Detailed/Validation/BESTEST/BaseClasses/DaySchedule.mo b/Buildings/ThermalZones/Detailed/Validation/BESTEST/BaseClasses/DaySchedule.mo
index 7cfc2851d95..edf69df6c33 100644
--- a/Buildings/ThermalZones/Detailed/Validation/BESTEST/BaseClasses/DaySchedule.mo
+++ b/Buildings/ThermalZones/Detailed/Validation/BESTEST/BaseClasses/DaySchedule.mo
@@ -1,18 +1,9 @@
within Buildings.ThermalZones.Detailed.Validation.BESTEST.BaseClasses;
model DaySchedule "Schedule that repeats every day"
- extends Modelica.Blocks.Sources.CombiTimeTable(
- final tableOnFile=false,
- final tableName="NoName",
- final fileName="NoName",
- final columns=2:size(table, 2),
- final smoothness=Modelica.Blocks.Types.Smoothness.LinearSegments,
- final extrapolation=if size(table, 1) == 1
- then
- Modelica.Blocks.Types.Extrapolation.HoldLastPoint
- else
- Modelica.Blocks.Types.Extrapolation.Periodic,
- final offset=fill(0, size(table, 2)-1),
- final startTime=0);
+ extends Buildings.Controls.OBC.CDL.Continuous.Sources.TimeTable(
+ final smoothness=Buildings.Controls.OBC.CDL.Types.Smoothness.LinearSegments,
+ final extrapolation=Buildings.Controls.OBC.CDL.Types.Extrapolation.Periodic,
+ final offset=fill(0, size(table, 2)-1));
annotation (Documentation(info="
Time schedule that is used for set points.
diff --git a/Buildings/ThermalZones/Detailed/Validation/BESTEST/Cases6xx/Case600.mo b/Buildings/ThermalZones/Detailed/Validation/BESTEST/Cases6xx/Case600.mo
index 9253a19ffb5..6a337f13377 100644
--- a/Buildings/ThermalZones/Detailed/Validation/BESTEST/Cases6xx/Case600.mo
+++ b/Buildings/ThermalZones/Detailed/Validation/BESTEST/Cases6xx/Case600.mo
@@ -6,26 +6,31 @@ model Case600 "Case 600FF, but with dual-setpoint for heating and cooling"
annualCoo(Min=-6.137*3.6e9, Max=-7.964*3.6e9, Mean=-6.832*3.6e9),
peakHea(Min=3.437*1000, Max=4.354*1000, Mean=4.000*1000),
peakCoo(Min=-5.965*1000, Max=-6.827*1000, Mean=-6.461*1000)));
- Controls.Continuous.LimPID conHea(
+ Buildings.Controls.OBC.CDL.Continuous.LimPID conHea(
Td=60,
- initType=Modelica.Blocks.Types.InitPID.InitialState,
+ yMax=1,
+ yMin=0,
+ initType=Buildings.Controls.OBC.CDL.Types.Init.InitialState,
Ti=300,
- controllerType=Modelica.Blocks.Types.SimpleController.PI,
+ controllerType=Buildings.Controls.OBC.CDL.Types.SimpleController.PI,
k=0.1) "Controller for heating"
annotation (Placement(transformation(extent={{-72,30},{-64,38}})));
- Controls.Continuous.LimPID conCoo(
+ Buildings.Controls.OBC.CDL.Continuous.LimPID conCoo(
Td=60,
+ yMax=1,
+ yMin=0,
reverseAction=true,
- initType=Modelica.Blocks.Types.InitPID.InitialState,
+ initType=Buildings.Controls.OBC.CDL.Types.Init.InitialState,
Ti=300,
- controllerType=Modelica.Blocks.Types.SimpleController.PI,
+ controllerType=Buildings.Controls.OBC.CDL.Types.SimpleController.PI,
k=0.1) "Controller for cooling"
annotation (Placement(transformation(extent={{-72,8},{-64,16}})));
- Modelica.Blocks.Math.Gain gaiHea(k=1E6) "Gain for heating"
+ Buildings.Controls.OBC.CDL.Continuous.Gain gaiHea(k=1E6) "Gain for heating"
annotation (Placement(transformation(extent={{-58,30},{-50,38}})));
- Modelica.Blocks.Math.Gain gaiCoo(k=-1E6) "Gain for cooling"
+ Buildings.Controls.OBC.CDL.Continuous.Gain gaiCoo(k=-1E6) "Gain for cooling"
annotation (Placement(transformation(extent={{-58,8},{-50,16}})));
- Modelica.Blocks.Math.Sum sum1(nin=2)
+ Modelica.Blocks.Math.Sum sumHeaCoo(nin=2)
+ "Sum of heating and cooling heat flow rate"
annotation (Placement(transformation(extent={{-20,20},{-12,28}})));
Modelica.Blocks.Routing.Multiplex2 multiplex2
annotation (Placement(transformation(extent={{-36,20},{-28,28}})));
@@ -66,51 +71,51 @@ equation
color={0,0,127},
smooth=Smooth.None));
connect(conHea.y,gaiHea. u) annotation (Line(
- points={{-63.6,34},{-58.8,34}},
+ points={{-63.2,34},{-58.8,34}},
color={0,0,127},
smooth=Smooth.None));
connect(conCoo.y,gaiCoo. u) annotation (Line(
- points={{-63.6,12},{-58.8,12}},
+ points={{-63.2,12},{-58.8,12}},
color={0,0,127},
smooth=Smooth.None));
connect(gaiHea.y,multiplex2. u1[1]) annotation (Line(
- points={{-49.6,34},{-42,34},{-42,26.4},{-36.8,26.4}},
+ points={{-49.2,34},{-42,34},{-42,26.4},{-36.8,26.4}},
color={0,0,127},
smooth=Smooth.None));
connect(gaiCoo.y,multiplex2. u2[1]) annotation (Line(
- points={{-49.6,12},{-42,12},{-42,21.6},{-36.8,21.6}},
+ points={{-49.2,12},{-42,12},{-42,21.6},{-36.8,21.6}},
color={0,0,127},
smooth=Smooth.None));
- connect(multiplex2.y,sum1.u) annotation (Line(
+ connect(multiplex2.y, sumHeaCoo.u) annotation (Line(
points={{-27.6,24},{-20.8,24}},
color={0,0,127},
smooth=Smooth.None));
- connect(sum1.y,preHea. Q_flow) annotation (Line(
+ connect(sumHeaCoo.y, preHea.Q_flow) annotation (Line(
points={{-11.6,24},{-6,24}},
color={0,0,127},
smooth=Smooth.None));
connect(EHea.u,gaiHea. y) annotation (Line(
- points={{-20.8,40},{-32,40},{-32,34},{-49.6,34}},
+ points={{-20.8,40},{-32,40},{-32,34},{-49.2,34}},
color={0,0,127},
smooth=Smooth.None));
connect(ECoo.u,gaiCoo. y) annotation (Line(
- points={{-20.8,10},{-34,10},{-34,12},{-49.6,12}},
+ points={{-20.8,10},{-34,10},{-34,12},{-49.2,12}},
color={0,0,127},
smooth=Smooth.None));
connect(TSetHea.y[1],conHea. u_s) annotation (Line(
- points={{-83.6,34},{-72.8,34}},
+ points={{-83.2,34},{-72.8,34}},
color={0,0,127},
smooth=Smooth.None));
connect(TSetCoo.y[1],conCoo. u_s) annotation (Line(
- points={{-83.6,12},{-72.8,12}},
+ points={{-83.2,12},{-72.8,12}},
color={0,0,127},
smooth=Smooth.None));
connect(PCoo.u,gaiCoo. y) annotation (Line(
- points={{-20.8,-4},{-42,-4},{-42,12},{-49.6,12}},
+ points={{-20.8,-4},{-42,-4},{-42,12},{-49.2,12}},
color={0,0,127},
smooth=Smooth.None));
connect(PHea.u,gaiHea. y) annotation (Line(
- points={{-20.8,52},{-42,52},{-42,34},{-49.6,34}},
+ points={{-20.8,52},{-42,52},{-42,34},{-49.2,34}},
color={0,0,127},
smooth=Smooth.None));
connect(preHea.port, roo.heaPorAir) annotation (Line(
diff --git a/Buildings/ThermalZones/Detailed/Validation/BESTEST/UsersGuide.mo b/Buildings/ThermalZones/Detailed/Validation/BESTEST/UsersGuide.mo
new file mode 100644
index 00000000000..d74f54c36cb
--- /dev/null
+++ b/Buildings/ThermalZones/Detailed/Validation/BESTEST/UsersGuide.mo
@@ -0,0 +1,1091 @@
+within Buildings.ThermalZones.Detailed.Validation.BESTEST;
+package UsersGuide "User's Guide"
+ extends Modelica.Icons.Information;
+
+ annotation(preferredView="info",
+ Documentation(info="
+
+The package
+Buildings.ThermalZones.Detailed.Validation.BESTEST contains the models
+that were used for the BESTEST validation (ANSI/ASHRAE 2007). The basic model from which all other
+models extend from is
+Buildings.ThermalZones.Detailed.Validation.BESTEST.Cases6xx.Case600FF.
+
+
+All examples have a script that runs an annual simulation and
+plots the results with the minimum, mean and maximum value
+listed in the ANSI/ASHRAE Standard 140-2007.
+
+
+The script compares the following quantities:
+
+
+-
+For free floating cases, the annual hourly integrated minimum (and maximum)
+zone air temperature, and the annual mean zone air temperature.
+
+-
+For cases with heating and cooling, the annual heating and cooling energy,
+and the annual hourly integrated minimum (and maximum) peak heating and cooling power.
+
+
+
+Note that in addition to the BESTESTs, the window model has been validated separately
+in Nouidui et al. (2012).
+
+Implementation
+
+Heating and cooling is controlled using the PI controller
+
+Buildings.Controls.Continuous.LimPID
+with anti-windup.
+
+
+Hourly averaged values and annual mean values are computed using an instance of
+
+Buildings.Controls.OBC.CDL.Continuous.MovingMean.
+
+Validation results
+
+The data used for validation are from \"RESULTS5-2A.xlsx\" in folder \"/Sec5-2AFiles/Informative Materials\"
+of Supplemental Files for ANSI/ASHRAE Standard 140-2017,
+Standard Method of Test for the Evaluation of Building Energy Analysis Computer Programs.
+
+
+Heating and cooling cases
+
+The simulations of cases with heating and cooling are validated by comparing the
+annual heating and cooling energy, the peak heating and cooling demand with the validation
+data. In addition, one day load profiles are also validated.
+The detailed comparison, which also shows the peak load hours, are shown
+in the table after the plots below.
+
+
+
+![\"annual_cooling.png\"](\"modelica://Buildings/Resources/Images/ThermalZones/Detailed/Validation/BESTEST/annual_cooling.png\")
+![\"annual_heating.png\"](\"modelica://Buildings/Resources/Images/ThermalZones/Detailed/Validation/BESTEST/annual_heating.png\")
+
+
+![\"peak_cooling.png\"](\"modelica://Buildings/Resources/Images/ThermalZones/Detailed/Validation/BESTEST/peak_cooling.png\")
+![\"peak_heating.png\"](\"modelica://Buildings/Resources/Images/ThermalZones/Detailed/Validation/BESTEST/peak_heating.png\")
+
+
+![\"hourly_load_600_Jan4.png\"](\"modelica://Buildings/Resources/Images/ThermalZones/Detailed/Validation/BESTEST/hourly_load_600_Jan4.png\")
+![\"hourly_load_900_Jan4.png\"](\"modelica://Buildings/Resources/Images/ThermalZones/Detailed/Validation/BESTEST/hourly_load_900_Jan4.png\")
+
+
+
+| Annual heating load (MWh) |
+
+| Case |
+ESP/DMU |
+BLAST/US-IT |
+DOE21D/NREL |
+SRES-SUN/NREL |
+SRES/BRE |
+S3PAS/SPAIN |
+TSYS/BEL-BRE |
+TASE/FINLAND |
+MBL/LBNL |
+
+| Case600 |
+4.296 |
+4.773 |
+5.709 |
+5.226 |
+5.596 |
+4.882 |
+4.872 |
+5.362 |
+5.290 |
+
+
+| Case610 |
+4.355 |
+4.806 |
+5.786 |
+5.280 |
+5.620 |
+4.971 |
+4.970 |
+5.383 |
+5.318 |
+
+
+| Case620 |
+4.613 |
+5.049 |
+5.944 |
+5.554 |
+5.734 |
+5.564 |
+5.073 |
+5.728 |
+5.452 |
+
+
+| Case630 |
+5.050 |
+5.359 |
+6.469 |
+5.883 |
+6.001 |
+6.095 |
+5.624 |
+0.000 |
+5.711 |
+
+
+| Case640 |
+2.751 |
+2.888 |
+3.543 |
+3.255 |
+3.803 |
+3.065 |
+3.043 |
+3.309 |
+3.428 |
+
+
+| Case650 |
+0.000 |
+0.000 |
+0.000 |
+0.000 |
+0.000 |
+0.000 |
+0.000 |
+0.000 |
+0.000 |
+
+
+| Case900 |
+1.170 |
+1.610 |
+1.872 |
+1.897 |
+1.988 |
+1.730 |
+1.655 |
+2.041 |
+1.787 |
+
+
+| Case920 |
+3.313 |
+3.752 |
+4.255 |
+4.093 |
+4.058 |
+4.235 |
+3.776 |
+4.300 |
+3.900 |
+
+
+| Case940 |
+0.793 |
+1.021 |
+1.239 |
+1.231 |
+1.411 |
+1.179 |
+1.080 |
+1.323 |
+1.186 |
+
+
+| Case950 |
+0.000 |
+0.000 |
+0.000 |
+0.000 |
+0.000 |
+0.000 |
+0.000 |
+0.000 |
+0.000 |
+
+
+| Case960 |
+2.311 |
+2.664 |
+2.928 |
+2.884 |
+2.851 |
+2.943 |
+3.373 |
+2.816 |
+3.099 |
+
+| Annual cooling load (MWh) |
+
+| Case |
+ESP/DMU |
+BLAST/US-IT |
+DOE21D/NREL |
+SRES-SUN/NREL |
+SRES/BRE |
+S3PAS/SPAIN |
+TSYS/BEL-BRE |
+TASE/FINLAND |
+MBL/LBNL |
+
+| Case600 |
+6.137 |
+6.433 |
+7.079 |
+7.278 |
+7.964 |
+6.492 |
+6.492 |
+6.778 |
+6.689 |
+
+
+| Case610 |
+3.915 |
+4.851 |
+4.852 |
+5.448 |
+5.778 |
+4.764 |
+4.601 |
+5.506 |
+5.170 |
+
+
+| Case620 |
+3.417 |
+4.092 |
+4.334 |
+4.633 |
+5.004 |
+4.011 |
+3.901 |
+4.351 |
+4.115 |
+
+
+| Case630 |
+2.129 |
+3.108 |
+2.489 |
+3.493 |
+3.701 |
+2.489 |
+2.416 |
+0.000 |
+3.181 |
+
+
+| Case640 |
+5.952 |
+6.183 |
+6.759 |
+7.026 |
+7.811 |
+6.247 |
+6.246 |
+6.508 |
+6.473 |
+
+
+| Case650 |
+4.816 |
+5.140 |
+5.795 |
+5.894 |
+6.545 |
+5.088 |
+5.119 |
+5.456 |
+5.364 |
+
+
+| Case900 |
+2.132 |
+2.600 |
+2.455 |
+3.165 |
+3.415 |
+2.572 |
+2.485 |
+2.599 |
+2.194 |
+
+
+| Case920 |
+1.840 |
+2.616 |
+2.440 |
+2.943 |
+3.092 |
+2.457 |
+2.418 |
+2.613 |
+2.310 |
+
+
+| Case940 |
+2.079 |
+2.536 |
+2.340 |
+3.036 |
+3.241 |
+2.489 |
+2.383 |
+2.516 |
+2.116 |
+
+
+| Case950 |
+0.387 |
+0.526 |
+0.538 |
+0.921 |
+0.589 |
+0.551 |
+0.561 |
+0.771 |
+0.474 |
+
+
+| Case960 |
+0.488 |
+0.666 |
+0.428 |
+0.803 |
+0.718 |
+0.643 |
+0.411 |
+0.786 |
+0.616 |
+
+
+
+
+| Peak heating load (kW) |
+
+| Case |
+ESP/DMU |
+BLAST/US-IT |
+DOE21D/NREL |
+SRES-SUN/NREL |
+S3PAS/SPAIN |
+TSYS/BEL-BRE |
+TASE/FINLAND |
+MBL/LBNL |
+
+
+| kW | hour |
+kW | hour |
+kW | hour |
+kW | hour |
+kW | hour |
+kW | hour |
+kW | hour |
+kW | hour |
+
+| Case600 |
+3.437 |
+04-Jan:5 |
+3.940 |
+04-Jan:5 |
+4.045 |
+04-Jan:5 |
+4.258 |
+04-Jan:2 |
+4.037 |
+04-Jan:2 |
+3.931 |
+04-Jan:6 |
+4.354 |
+04-Jan:2 |
+4.171 |
+4-Jan:6 |
+
+
+| Case610 |
+3.437 |
+04-Jan:5 |
+3.941 |
+04-Jan:5 |
+4.034 |
+04-Jan:5 |
+4.258 |
+04-Jan:2 |
+4.037 |
+04-Jan:2 |
+3.922 |
+04-Jan:6 |
+4.354 |
+04-Jan:2 |
+4.171 |
+4-Jan:6 |
+
+
+| Case620 |
+3.591 |
+04-Jan:6 |
+3.941 |
+04-Jan:5 |
+4.046 |
+04-Jan:5 |
+4.277 |
+04-Jan:2 |
+4.277 |
+04-Jan:2 |
+3.922 |
+04-Jan:6 |
+4.379 |
+04-Jan:2 |
+4.171 |
+4-Jan:6 |
+
+
+| Case630 |
+3.592 |
+04-Jan:7 |
+3.941 |
+04-Jan:5 |
+4.025 |
+04-Jan:5 |
+4.280 |
+04-Jan:2 |
+4.278 |
+04-Jan:2 |
+3.922 |
+04-Jan:6 |
+0.000 |
+N/A |
+4.171 |
+4-Jan:6 |
+
+
+| Case640 |
+5.232 |
+04-Jan:7 |
+5.486 |
+04-Jan:8 |
+5.943 |
+04-Jan:8 |
+6.530 |
+04-Jan:8 |
+6.347 |
+04-Jan:8 |
+5.722 |
+04-Jan:8 |
+6.954 |
+04-Jan:8 |
+6.956 |
+4-Jan:8 |
+
+
+| Case650 |
+0.000 |
+N/A |
+0.000 |
+04-Jan:N/A |
+0.000 |
+N/A |
+0.000 |
+N/A |
+0.000 |
+N/A |
+0.000 |
+N/A |
+0.000 |
+N/A |
+0.000 |
+31-Dec:24 |
+
+
+| Case900 |
+2.850 |
+04-Jan:7 |
+3.453 |
+04-Jan:7 |
+3.557 |
+04-Jan:7 |
+3.760 |
+04-Jan:7 |
+3.608 |
+04-Jan:8 |
+3.517 |
+04-Jan:7 |
+3.797 |
+04-Jan:7 |
+3.579 |
+4-Jan:7 |
+
+
+| Case920 |
+3.308 |
+04-Jan:7 |
+3.703 |
+04-Jan:7 |
+3.805 |
+04-Jan:7 |
+4.013 |
+04-Jan:7 |
+4.029 |
+04-Jan:7 |
+3.708 |
+04-Jan:7 |
+4.061 |
+04-Jan:7 |
+3.884 |
+4-Jan:7 |
+
+
+| Case940 |
+3.980 |
+04-Jan:7 |
+5.028 |
+04-Jan:8 |
+5.665 |
+04-Jan:8 |
+6.116 |
+04-Jan:8 |
+6.117 |
+04-Jan:8 |
+5.122 |
+03-Jan:9 |
+6.428 |
+04-Jan:8 |
+6.016 |
+4-Jan:8 |
+
+
+| Case950 |
+0.000 |
+N/A |
+0.000 |
+N/A |
+0.000 |
+N/A |
+0.000 |
+N/A |
+0.000 |
+N/A |
+0.000 |
+N/A |
+0.000 |
+N/A |
+0.000 |
+31-Dec:24 |
+
+
+| Case960 |
+2.410 |
+04-Jan:7 |
+2.751 |
+04-Jan:8 |
+2.727 |
+04-Jan:8 |
+2.863 |
+04-Jan:8 |
+2.852 |
+04-Jan:8 |
+2.522 |
+04-Jan:8 |
+2.779 |
+04-Jan:8 |
+2.880 |
+4-Jan:8 |
+
+| Peak cooling load (kW) |
+
+| Case |
+ESP/DMU |
+BLAST/US-IT |
+DOE21D/NREL |
+SRES-SUN/NREL |
+S3PAS/SPAIN |
+TSYS/BEL-BRE |
+TASE/FINLAND |
+MBL/LBNL |
+
+
+| kW | hour |
+kW | hour |
+kW | hour |
+kW | hour |
+kW | hour |
+kW | hour |
+kW | hour |
+kW | hour |
+
+| Case600 |
+6.194 |
+17-Oct:13 |
+5.965 |
+16-Oct:14 |
+6.656 |
+16-Oct:13 |
+6.827 |
+16-Oct:14 |
+6.286 |
+25-Nov:14 |
+6.486 |
+16-Oct:14 |
+6.812 |
+17-Oct:14 |
+6.600 |
+17-Oct:13 |
+
+
+| Case610 |
+5.669 |
+25-Nov:13 |
+5.824 |
+25-Nov:14 |
+6.064 |
+13-Jan:14 |
+6.371 |
+25-Nov:14 |
+6.170 |
+25-Nov:14 |
+5.675 |
+25-Nov:14 |
+6.146 |
+17-Oct:14 |
+6.254 |
+25-Nov:13 |
+
+
+| Case620 |
+3.634 |
+26-Jul:16 |
+4.075 |
+26-Jul:17 |
+4.430 |
+26-Jul:17 |
+4.593 |
+26-Jul:17 |
+4.297 |
+26-Jul:17 |
+4.275 |
+26-Jul:17 |
+5.096 |
+26-Jul:16 |
+4.034 |
+26-Jul:17 |
+
+
+| Case630 |
+3.072 |
+26-Jul:16 |
+3.704 |
+26-Jul:17 |
+3.588 |
+26-Jul:17 |
+4.116 |
+26-Jul:17 |
+3.665 |
+26-Jul:17 |
+3.608 |
+26-Jul:17 |
+0.000 |
+N/A |
+3.549 |
+26-Jul:17 |
+
+
+| Case640 |
+6.161 |
+17-Oct:13 |
+5.892 |
+16-Oct:14 |
+6.576 |
+16-Oct:14 |
+6.776 |
+16-Oct:14 |
+6.250 |
+25-Nov:14 |
+6.442 |
+16-Oct:14 |
+6.771 |
+17-Oct:14 |
+6.541 |
+17-Oct:13 |
+
+
+| Case650 |
+6.031 |
+17-Oct:13 |
+5.831 |
+16-Oct:14 |
+6.516 |
+16-Oct:14 |
+6.671 |
+16-Oct:14 |
+6.143 |
+25-Nov:14 |
+6.378 |
+17-Oct:14 |
+6.679 |
+17-Oct:14 |
+6.477 |
+17-Oct:14 |
+
+
+| Case900 |
+2.888 |
+17-Oct:14 |
+3.155 |
+06-Oct:15 |
+3.458 |
+17-Oct:14 |
+3.871 |
+17-Oct:14 |
+3.334 |
+17-Oct:15 |
+3.567 |
+17-Oct:15 |
+3.457 |
+17-Oct:15 |
+3.127 |
+17-Oct:15 |
+
+
+| Case920 |
+2.385 |
+26-Jul:16 |
+2.933 |
+26-Jul:17 |
+3.109 |
+26-Jul:17 |
+3.487 |
+26-Jul:17 |
+3.071 |
+26-Jul:17 |
+3.050 |
+26-Jul:17 |
+3.505 |
+26-Jul:17 |
+2.850 |
+26-Jul:17 |
+
+
+| Case940 |
+2.888 |
+17-Oct:14 |
+3.155 |
+06-Oct:15 |
+3.458 |
+17-Oct:14 |
+3.871 |
+17-Oct:14 |
+3.334 |
+17-Oct:15 |
+3.567 |
+17-Oct:15 |
+3.457 |
+17-Oct:15 |
+3.127 |
+17-Oct:15 |
+
+
+| Case950 |
+2.033 |
+02-Sep:14 |
+2.621 |
+02-Sep:15 |
+2.664 |
+02-Sep:15 |
+3.170 |
+02-Sep:14 |
+2.677 |
+02-Sep:15 |
+2.686 |
+02-Sep:15 |
+2.867 |
+02-Sep:14 |
+2.425 |
+2-Sep:15 |
+
+
+| Case960 |
+0.953 |
+16-Aug:16 |
+1.144 |
+26-Jul:16 |
+1.057 |
+26-Jul:16 |
+1.370 |
+26-Jul:16 |
+1.179 |
+26-Jul:16 |
+1.378 |
+26-Jul:16 |
+1.403 |
+26-Jul:16 |
+1.253 |
+27-Jul:16 |
+
+
+
+
+
+Free floating cases
+
+The following plots compare the maximum, minimum and average zone temperature simulated with
+the Modelica Buildings Library with the values simulated by other tools. The simulation
+is also validated by comparing one-day simulation results in different days, and by
+comparing the distribution of the annual temperature. The detailed comparisons, which also
+show the peak temperature hour, are shown in the table after the plots.
+
+
+![\"max_temperature.png\"](\"modelica://Buildings/Resources/Images/ThermalZones/Detailed/Validation/BESTEST/max_temperature.png\")
+![\"min_temperature.png\"](\"modelica://Buildings/Resources/Images/ThermalZones/Detailed/Validation/BESTEST/min_temperature.png\")
+
+
+![\"FF_temperature_600FF_Jan4.png\"](\"modelica://Buildings/Resources/Images/ThermalZones/Detailed/Validation/BESTEST/FF_temperature_600FF_Jan4.png\")
+![\"FF_temperature_900FF_Jan4.png\"](\"modelica://Buildings/Resources/Images/ThermalZones/Detailed/Validation/BESTEST/FF_temperature_900FF_Jan4.png\")
+
+
+![\"FF_temperature_650FF_Jul27.png\"](\"modelica://Buildings/Resources/Images/ThermalZones/Detailed/Validation/BESTEST/FF_temperature_650FF_Jul27.png\")
+![\"FF_temperature_950FF_Jul27.png\"](\"modelica://Buildings/Resources/Images/ThermalZones/Detailed/Validation/BESTEST/FF_temperature_950FF_Jul27.png\")
+
+
+![\"ave_temperature.png\"](\"modelica://Buildings/Resources/Images/ThermalZones/Detailed/Validation/BESTEST/ave_temperature.png\")
+![\"bin_temperature_900FF.png\"](\"modelica://Buildings/Resources/Images/ThermalZones/Detailed/Validation/BESTEST/bin_temperature_900FF.png\")
+
+
+
+
+| Maximum temperature (°C) |
+
+| Case |
+ESP/DMU |
+BLAST/US-IT |
+DOE21D/NREL |
+SRES-SUN/NREL |
+S3PAS/SPAIN |
+TSYS/BEL-BRE |
+TASE/FINLAND |
+MBL/LBNL |
+
+
+| °C | hour |
+°C | hour |
+°C | hour |
+°C | hour |
+°C | hour |
+°C | hour |
+°C | hour |
+°C | hour |
+
+| Case600FF |
+64.9 |
+17-Oct:15 |
+65.1 |
+16-Oct:15 |
+69.5 |
+17-Oct:15 |
+68.6 |
+16-Oct:15 |
+64.9 |
+16-Oct:16 |
+65.3 |
+17-Oct:16 |
+65.3 |
+15-Oct:16 |
+65.3 |
+17-Oct:16 |
+
+
+| Case650FF |
+63.2 |
+17-Oct:15 |
+63.5 |
+16-Oct:15 |
+68.2 |
+17-Oct:15 |
+67.0 |
+16-Oct:15 |
+63.3 |
+16-Oct:16 |
+63.7 |
+17-Oct:16 |
+63.8 |
+16-Oct:16 |
+64.1 |
+17-Oct:16 |
+
+
+| Case900FF |
+41.8 |
+17-Oct:15 |
+43.4 |
+02-Sep:16 |
+42.7 |
+02-Sep:15 |
+44.8 |
+02-Sep:15 |
+43.0 |
+02-Sep:15 |
+42.5 |
+17-Oct:15 |
+43.2 |
+15-Sep:15 |
+42.2 |
+2-Sep:16 |
+
+
+| Case950FF |
+35.5 |
+02-Sep:16 |
+36.2 |
+02-Sep:16 |
+35.9 |
+02-Sep:16 |
+38.5 |
+02-Sep:15 |
+36.1 |
+02-Sep:16 |
+35.7 |
+02-Sep:15 |
+37.6 |
+15-Sep:16 |
+36.2 |
+2-Sep:16 |
+
+| Minimum temperature (°C) |
+
+| Case |
+ESP/DMU |
+BLAST/US-IT |
+DOE21D/NREL |
+SRES-SUN/NREL |
+S3PAS/SPAIN |
+TSYS/BEL-BRE |
+TASE/FINLAND |
+MBL/LBNL |
+
+
+| °C | hour |
+°C | hour |
+°C | hour |
+°C | hour |
+°C | hour |
+°C | hour |
+°C | hour |
+°C | hour |
+
+| Case600FF |
+-15.6 |
+04-Jan:7 |
+-17.1 |
+04-Jan:8 |
+-18.8 |
+04-Jan:8 |
+-18.0 |
+04-Jan:7 |
+-17.8 |
+04-Jan:8 |
+-17.8 |
+04-Jan:7 |
+-18.5 |
+08-Jan:9 |
+-19.0 |
+4-Jan:8 |
+
+
+| Case650FF |
+-22.6 |
+04-Jan:6 |
+-23.0 |
+04-Jan:7 |
+-21.6 |
+04-Jan:2 |
+-23.0 |
+04-Jan:2 |
+-22.9 |
+04-Jan:2 |
+-22.8 |
+04-Jan:7 |
+-22.9 |
+02-Jan:23 |
+-23.3 |
+4-Jan:3 |
+
+
+| Case900FF |
+-1.6 |
+04-Jan:8 |
+-3.2 |
+04-Jan:8 |
+-4.3 |
+04-Jan:8 |
+-4.5 |
+04-Jan:8 |
+-4.0 |
+04-Jan:8 |
+-6.4 |
+04-Jan:8 |
+-5.6 |
+08-Jan:9 |
+-5.3 |
+4-Jan:8 |
+
+
+| Case950FF |
+-19.5 |
+04-Jan:6 |
+-20.0 |
+04-Jan:7 |
+-18.6 |
+04-Jan:7 |
+-19.7 |
+04-Jan:7 |
+-20.2 |
+04-Jan:7 |
+-19.3 |
+04-Jan:7 |
+-20.0 |
+07-Jan:22 |
+-20.6 |
+4-Jan:7 |
+
+
+
+
+Implementation
+
+To generate the data shown in this user guide, run
+
+
+ cd Buildings/Resources/src/ThermalZones/Detailed/Validation/BESTEST
+ python3 simulateAndPlot.py
+
+References
+
+ANSI/ASHRAE. 2007. ANSI/ASHRAE Standard 140-2007,
+Standard Method of Test for the Evaluation of Building Energy Analysis Computer Programs.
+
+
+Thierry Stephane Nouidui, Michael Wetter, and Wangda Zuo.
+
+Validation of the window model of the Modelica Buildings library.
+Proc. of the 5th SimBuild Conference, Madison, WI, USA, August 2012.
+
+"));
+end UsersGuide;
diff --git a/Buildings/ThermalZones/Detailed/Validation/BESTEST/package.mo b/Buildings/ThermalZones/Detailed/Validation/BESTEST/package.mo
index 1d2ca8d4352..4f987dd61e1 100644
--- a/Buildings/ThermalZones/Detailed/Validation/BESTEST/package.mo
+++ b/Buildings/ThermalZones/Detailed/Validation/BESTEST/package.mo
@@ -8,54 +8,10 @@ annotation (preferredView="info", Documentation(info="
This package contains the models that were used
for the BESTEST validation (ANSI/ASHRAE 2007).
-The basic model from which all other models extend from is
-
-Buildings.ThermalZones.Detailed.Validation.BESTEST.Cases6xx.Case600FF.
-
-
-All examples have a script that runs an annual simulation and
-plots the results with the minimum, mean and maximum value
-listed in the ANSI/ASHRAE Standard 140-2007.
-
-The script compares the following quantities
-
-
--
-For free floating cases, the annual hourly integrated minimum (and maximum)
-zone air temperature, and the annual mean zone air temperature.
-
--
-For cases with heating and cooling, the annual heating and cooling energy,
-and the annual hourly integrated minimum (and maximum) peak heating and cooling power.
-
-
-
-
-Note that in addition to the BESTESTs, the window model has been validated separately
-in Nouidui et al. (2012).
-
-Implementation
-
-Heating and cooling is controlled using the PI controller
-
-Buildings.Controls.Continuous.LimPID
-with anti-windup.
-
-
-Hourly averaged values and annual mean values
-are computed using an instance of
-
-Buildings.Controls.OBC.CDL.Continuous.MovingMean.
-
-References
-
-ANSI/ASHRAE. 2007. ANSI/ASHRAE Standard 140-2007, Standard Method of Test for the Evaluation of Building Energy Analysis Computer Programs.
-
-
-Thierry Stephane Nouidui, Michael Wetter, and Wangda Zuo.
-
-Validation of the window model of the Modelica Buildings library.
-Proc. of the 5th SimBuild Conference, Madison, WI, USA, August 2012.
+See
+
+Buildings.ThermalZones.Detailed.Validation.BESTEST.UsersGuide
+for details and results.
"));
end BESTEST;
diff --git a/Buildings/ThermalZones/Detailed/Validation/BESTEST/package.order b/Buildings/ThermalZones/Detailed/Validation/BESTEST/package.order
index 259a509e1e6..08ba41a34f1 100644
--- a/Buildings/ThermalZones/Detailed/Validation/BESTEST/package.order
+++ b/Buildings/ThermalZones/Detailed/Validation/BESTEST/package.order
@@ -1,3 +1,4 @@
+UsersGuide
Cases6xx
Cases9xx
nStaRef