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README.md

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This package is about solar radiation on surfaces. It implements a number of
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sky-models (isotropic, anisotropic Perez, anisotropic HDKR, KT) to estimate the
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solar radiation incident on exterior surfaces.
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It can generate solar radiation data based on the clear-sky model or it can use
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It can generate solar radiation data based on the clear-sky model, or it can use
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TMY-data of a certain geographic location .
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Subpackage *sun* implements the equations in chapters 1 and 2 of *Duffie,
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J. A., Beckman, W. A., & Blair, N. (2020). SOLAR ENGINEERING OF THERMAL
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'exterior-wall', (0, 2871)
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docs/examples/cooling_load_calc/example_04_constr_assem.db.bak

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'window-5a-operable-wood/vinyl', (0, 572)
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docs/examples/heating_load_calc/example_01/house.py

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SurfaceFilm,
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MaterialShelf
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)
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import hvac.cooling_load_calc_old.wtcb.exterior_walls as ew
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import hvac.cooling_load_calc_old.wtcb.interior_walls as iw
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import hvac.cooling_load_calc_old.wtcb.floors as fl
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import hvac.cooling_load_calc_old.wtcb.roofs as rf
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import hvac.cooling_load_calc.construction_data.wtcb.exterior_walls as ew
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import hvac.cooling_load_calc.construction_data.wtcb.interior_walls as iw
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import hvac.cooling_load_calc.construction_data.wtcb.floors as fl
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import hvac.cooling_load_calc.construction_data.wtcb.roofs as rf
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Q_ = Quantity
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docs/examples/heating_load_calc/example_02/design_calc.py

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(very) simple, small single-zone building. Based on this heat load, the heating
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system can be sized.
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Then, in part 2 of this example, we will simulate the operation of this
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building's heating system on a winter day.
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And in the final part 3 of this example, we will estimate the heating energy
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consumption of this building using the bin table method with TMY data valid for
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the geographic location where the building is situated.
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In part 2 of this example, we will estimate the heating energy consumption of
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this building using the bin table method with TMY data valid for the geographic
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location where the building is situated.
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"""
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import warnings
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from dataclasses import dataclass
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Building,
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ConstructionAssembly,
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)
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from hvac.cooling_load_calc_old import wtcb, shelves
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from hvac.cooling_load_calc.construction_data import wtcb, shelves
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warnings.filterwarnings('ignore', category=CoolPropWarning)

docs/examples/heating_load_calc/example_02/energy_estimation.py

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"""EXAMPLE 02 (part 3)
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"""EXAMPLE 02 (part 2)
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----------------------
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ESTIMATION OF HEATING ENERGY CONSUMPTION USING THE BIN TABLE METHOD
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In this final part 3 of example 02, we will estimate the heating energy
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consumption of the building using the bin table method with TMY data valid for
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the geographic location where the building is situated. The heating load
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characteristics are derived from the design heating load calculation in part 1.
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In part 2 of example 02, we will estimate the heating energy consumption of the
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building using the bin table method with TMY data valid for the geographic
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location where the building is situated. The heating load characteristics are
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derived from the design heating load calculation in part 1.
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"""
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import pandas as pd
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from hvac import Quantity

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