Update README.md
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README.md
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@@ -103,7 +103,8 @@ The roof ridge is 8.77 meters to the length side of the horizontal segment, and
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The attic height is 139.71 meters. The building orientation is 62 degrees to the north.
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The building has 3 thermal zones with each segment as one thermal zone.
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The window-to-wall ratio is 0.32. The window sill height is 33.91 meters, the window height is 65.82 meters, and the window jamb width is 0.01 meters.
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The window U-factor is 6.36 W/m2K and the SHGC is 0.89.
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The roof is made of metal, with a thickness of 0.09 meters and the roof insulation is RSI 5.4 m2K/W, U-factor 0.19 W/m2K.
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The floor is made of concrete, covered with carpet. The ventilation rate is 2.32 ach. The infiltration rate is 0.55 ach.
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The people density is 16.61 m2/person, the light density is 4.48 W/m2, and the electric equipment density is 22.63 W/m2.
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@@ -117,8 +118,6 @@ generated_ids = model.generate(input_ids = input_ids.input_ids,
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generation_config = generation_config)
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generated_output = tokenizer.decode(generated_ids[0], skip_special_tokens=True)
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# print(generated_output)
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# Output the building energy model in IDF file
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with open(file_path, 'r', encoding='utf-8') as file:
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nextpart = file.read()
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The attic height is 139.71 meters. The building orientation is 62 degrees to the north.
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The building has 3 thermal zones with each segment as one thermal zone.
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The window-to-wall ratio is 0.32. The window sill height is 33.91 meters, the window height is 65.82 meters, and the window jamb width is 0.01 meters.
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The window U-factor is 6.36 W/m2K and the SHGC is 0.89.
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The wall is made of wood, with a thickness of 0.48 meters and the wall insulation is RSI 1.6 m2K/W, U-factor 0.63 W/m2K.
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The roof is made of metal, with a thickness of 0.09 meters and the roof insulation is RSI 5.4 m2K/W, U-factor 0.19 W/m2K.
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The floor is made of concrete, covered with carpet. The ventilation rate is 2.32 ach. The infiltration rate is 0.55 ach.
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The people density is 16.61 m2/person, the light density is 4.48 W/m2, and the electric equipment density is 22.63 W/m2.
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generation_config = generation_config)
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generated_output = tokenizer.decode(generated_ids[0], skip_special_tokens=True)
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# Output the building energy model in IDF file
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with open(file_path, 'r', encoding='utf-8') as file:
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nextpart = file.read()
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