def computeEmbodiedEnergy():
"""Compute the embodied energy of buildings in file buildings.csv."""
oeko = getData_oeko()
OEKO = oeko[([((("WDVS" in o_name) & ("Steinwolle" in o_name)) |
(("WDVS" in o_name) & ("EPS" in o_name) &
("Daemmplatte" in o_name)) &
("End of life" not in o_name) | ("XPS" in o_name))
for o_name in oeko.name])]
masea = getData_masea()
MASEA = masea[(masea.name == "Steinwolle_60") |
(masea.name == "EPS_040.15") |
(masea.name == "XPS_Deckschicht 3")]
buildings = pd.read_csv("buildings.csv", index_col=0)
buildings["shell_roof"] = buildings["shell"] - buildings["shell_wall"]
for a, b, c in zip([610, 480, 482],
[69, 82, 165],
["Steinwolle", "XPS", "EPS"]):
pos1 = OEKO.loc[a]
pos2 = MASEA.loc[b]
for width in [0.12, 0.24]:
buildings = getGEnergy(buildings, pos1, pos2, width, c,
verbose=False)
buildings.to_csv("buildings_genergy.csv")
"""
import pandas as pd
from pandas import HDFStore
from random import choice
# internal
from scripts.MASEA import getData_masea
from scripts.MASEA import masea_single
from scripts.MASEA import masea_multiple
from scripts.findMaterials import getMaterialIndex
from scripts.findMaterials import materials
store = HDFStore('materials.h5')
masea = getData_masea()
def getMasea(data_element, verbose=False, extra=False, weight=1, iterations=False, component_index=False, force_index=False):
if not component_index:
inx = 0
else:
inx = component_index
layers = store["table_{}".format(data_element.iloc[inx, 1].split(".")[0])]
layers.set_index("Material", inplace=True)
thikness = layers["Width"]
indexed_layers = pd.DataFrame(columns=[
"Material", "Density", "Conductivity"])
if verbose: