from quantities import year, markup
markup.config.use_unicode = False
building = Building.objects.get(pk='O03')
standards = Standard.objects.filter(name__in=('2007', 'LEC'))
locations = Location.objects.filter(representative=True)
years = ((10 * year), (25 * year), (40 * year))
for location in Location.objects.filter(name='Anchorage'):
for standard in standards:
for year in years:
file = open(os.path.join('scripts', 'output', '%s-%s-%s-%s.txt' % (
building.pk,
location.name,
standard.name,
year.item())), 'w')
r = Results(building, standard, location, year, '0.03')
print >> file, 'Lifecycle:', price(r.lifecycle.cost())
print >> file, 'Investment:', price(r.investment.cost())
print >> file, '---------------------------------------------'
###########################
# First
print >> file, 'First Costs:', price(r.first.cost())
print >> file, '\tDelta Energy Efficiency:', price(r.energy_efficiency.delta())
print >> file, '\tBuilding Subtotal:', price(r.first.index(r.building.subtotal, 'weighted-average'))
###########################
# Components
print >> file, '\tComponent:', price(r.components.cost())
print >> file, '\t\tInsulation:', price(r.components.insulation.cost())
from results import Results
from quantities import year, markup
markup.config.use_unicode = False
building = Building.objects.get(pk='O03')
standards = Standard.objects.filter(name__in=('2007', 'LEC'))
locations = Location.objects.filter(representative=True)
years = ((10 * year), (25 * year), (40 * year))
for location in Location.objects.filter(name='Anchorage'):
for standard in standards:
for year in years:
file = open(
os.path.join(
'scripts', 'output', '%s-%s-%s-%s.txt' %
(building.pk, location.name, standard.name, year.item())),
'w')
r = Results(building, standard, location, year, '0.03')
print >> file, 'Lifecycle:', price(r.lifecycle.cost())
print >> file, 'Investment:', price(r.investment.cost())
print >> file, '---------------------------------------------'
###########################
# First
print >> file, 'First Costs:', price(r.first.cost())
print >> file, '\tDelta Energy Efficiency:', price(
r.energy_efficiency.delta())
print >> file, '\tBuilding Subtotal:', price(
r.first.index(r.building.subtotal, 'weighted-average'))
###########################
'Electricity BTU/yr',
))
exceptions = []
for building in buildings:
for location in locations:
for standard in standards:
for year in periods:
try:
r = Results(building, standard, location, year, 0.03)
print >> file, ','.join(
map(str, (
building.type,
location.name,
location.state,
year.item(),
standard.name,
r.lifecycle.cost(),
r.energy_efficiency.cost(),
r.energy.cost(),
r.energy.use(),
r.energy.fuel('Gas').use,
r.energy.fuel('Electric').use,
)))
print building, location, standard, year
except Exception as e:
exceptions.append(e)
file.close()
errors = open(path.join('scripts', 'errors.txt'), 'w')
print >> errors, '\n'.join(exceptions)
errors.close()
from locations.models import Location
from standards.models import Standard
from structures.models import Building
from results.templatetags.comparison import delta, percent, airr
from results.comparison import Comparison
from quantities import year
building = Building.objects.get(pk='O03')
locations = Location.objects.filter(representative=True)
years = ((10 * year), (25 * year), (40 * year))
file = open('deltas.csv', 'w')
print >> file, ','.join(('Study Length', 'Location', '% Reduction LCC',
'% Reduction Energy', 'AIRR'))
for location in locations:
for year in years:
standards = Standard.objects.filter(name__in=('2007', 'LEC'))
c = Comparison(standards, building, location, year, '0.03')
baseline = c.baseline()
for results in c.rest():
plc = percent(results.lifecycle.cost(), baseline.lifecycle.cost())
pe = percent(results.energy.use(), baseline.energy.use())
print >> file, ','.join(
map(str, (year.item(), location.name, plc, pe,
results.airr(baseline))))
print location, year
file.write('\n')
file.close()
'Gas BTU/yr',
'Electricity BTU/yr',
))
exceptions = []
for building in buildings:
for location in locations:
for standard in standards:
for year in periods:
try:
r = Results(building, standard, location, year, 0.03)
print >> file, ','.join(map(str, (
building.type,
location.name,
location.state,
year.item(),
standard.name,
r.lifecycle.cost(),
r.energy_efficiency.cost(),
r.energy.cost(),
r.energy.use(),
r.energy.fuel('Gas').use,
r.energy.fuel('Electric').use,
)))
print building, location, standard, year
except Exception as e:
exceptions.append(e)
file.close()
errors = open(path.join('scripts', 'errors.txt'), 'w')
print >> errors, '\n'.join(exceptions)
errors.close()
