Lodging impact calculation

Provided in real time by Brighter Planet at 02:35PM UTC on Monday, April 22, 2019 for timeframe beginning 2019-01-01 and ending 2020-01-01.

Characteristics

Brighter Planet is performing this calculation based on the following characteristics of this lodging as provided in the request:

Characteristic	Input	Interpretation
Rooms	`1`	`1`
Duration	`172800`	`172,800 s`
Zip code	`89109`	`89109`

Calculation

This calculation uses version of Brighter Planet's lodging carbon model. The lodging emission estimate is the anthropogenic emissions from lodging room energy use. It includes CO2 emissions from direct fuel combustion and indirect fuel combustion to generate purchased electricity.

Calculations are performed adaptively, so methodology will vary depending on lodging characteristics. Impact values, listed below, are based on a number of input factors, which in turn are based on others, and so forth. In each case, the methodology used in the calculation is specified, and, wherever possible, the source code of the method is displayed.

Carbon

Conclusion: 50.6 kg

Method: from co2 emission, ch4 emission, and n2o emission.
```
((co2_emission + ch4_emission) + n2o_emission)
```

Co2 emission

Conclusion: 50.40317520344753

Method: from fuel uses and electricity mix.

gas = Fuel.find("Pipeline Natural Gas")
oil = Fuel.find("Distillate Fuel Oil No. 2")
dh = Fuel.find("District Heat")
(((((fuel_uses[:natural_gas] / gas.energy_content) * gas.co2_emission_factor) + ((fuel_uses[:fuel_oil] / oil.energy_content) * oil.co2_emission_factor)) + ((fuel_uses[:district_heat] / dh.energy_content) * dh.co2_emission_factor)) + (fuel_uses[:electricity].megajoules.to(:kilowatt_hours) * electricity_co2_emission_factor))

Ch4 emission

Conclusion: 0.016862969036462845

Method: from fuel uses and electricity mix.

ch4_gwp = GreenhouseGas[:ch4].global_warming_potential
gas_ef = ((0.1.grams.to(:kilograms) / 1000.kbtus.to(:megajoules)) * ch4_gwp)
oil_ef = ((0.6.grams.to(:kilograms) / 1000.kbtus.to(:megajoules)) * ch4_gwp)
dh_ef = ((((gas_ef / 0.817) + (oil_ef / 0.846)) / 2.0) / 0.95)
((((fuel_uses[:natural_gas] * gas_ef) + (fuel_uses[:fuel_oil] * oil_ef)) + (fuel_uses[:district_heat] * dh_ef)) + (fuel_uses[:electricity].megajoules.to(:kilowatt_hours) * electricity_ch4_emission_factor))

N2o emission

Conclusion: 0.16550581199831513

Method: from fuel uses and electricity mix.

n2o_gwp = GreenhouseGas[:n2o].global_warming_potential
gas_ef = ((0.1.grams.to(:kilograms) / 1000.kbtus.to(:megajoules)) * n2o_gwp)
oil_ef = ((0.6.grams.to(:kilograms) / 1000.kbtus.to(:megajoules)) * n2o_gwp)
dh_ef = ((((gas_ef / 0.817) + (oil_ef / 0.846)) / 2.0) / 0.95)
((((fuel_uses[:natural_gas] * gas_ef) + (fuel_uses[:fuel_oil] * oil_ef)) + (fuel_uses[:district_heat] * dh_ef)) + (fuel_uses[:electricity].megajoules.to(:kilowatt_hours) * electricity_n2o_emission_factor))

Energy

Conclusion: 459.4 MJ

Method: from fuel uses.
```
fuel_uses.values.sum
```

Fuel uses

Conclusion: {:natural_gas=>159.83846128863277, :fuel_oil=>23.028708075178542, :electricity=>266.3424031534399, :district_heat=>10.219586755878016}

Method: from adjusted fuel intensities and room nights.

intensities = adjusted_fuel_intensities
{ :natural_gas => ((intensities[:natural_gas] * room_nights)), :fuel_oil => ((intensities[:fuel_oil] * room_nights)), :electricity => ((intensities[:electricity] * room_nights)), :district_heat => ((intensities[:district_heat] * room_nights)) }

Adjusted fuel intensities

Conclusion: {:natural_gas=>79.91923064431639, :fuel_oil=>11.514354037589271, :electricity=>133.17120157671994, :district_heat=>5.109793377939008}

Method: from fuel intensities and amenity adjustments.

intensities = fuel_intensities.dup
pool_adjustment = 0.0
characteristics.except(:fuel_intensities).each do |characteristic, adjustment|
  adjustment.each do |fuel, value|
    if (fuel == :pool_energy) then
      pool_adjustment = (pool_adjustment + value)
    else
      intensities[fuel] = 0.0 if ((intensities[fuel] += value) < 0.0)
    end
  end
end
if (pool_adjustment.abs > 0.0) then
  if ((intensities[:natural_gas] += pool_adjustment) < 0.0) then
    if ((intensities[:fuel_oil] += intensities[:natural_gas]) < 0.0) then
      if ((intensities[:electricity] += intensities[:fuel_oil]) < 0.0) then
        intensities[:electricity] = 0
      end
      intensities[:fuel_oil] = 0
    end
    intensities[:natural_gas] = 0
  end
end
intensities

Fuel intensities

Conclusion: {:natural_gas=>79.91923064431639, :fuel_oil=>11.514354037589271, :electricity=>133.17120157671994, :district_heat=>5.109793377939008}

Method: from degree days, occupancy rate, and user inputs.

inputs = characteristics.dup
inputs.delete(:occupancy_rate)
inputs[:lodging_rooms] = inputs.delete(:property_rooms)
inputs[:percent_cooled] = inputs.delete(:ac_coverage)
inputs.delete_if { |k, v| v.nil? }
kernel = CommercialBuildingEnergyConsumptionSurveyResponse.new(inputs)
n, f, e, d = kernel.fuzzy_infer(:natural_gas_per_room_night, :fuel_oil_per_room_night, :electricity_per_room_night, :district_heat_per_room_night)
{ :natural_gas => ((n / occupancy_rate)), :fuel_oil => ((f / occupancy_rate)), :electricity => ((e / occupancy_rate)), :district_heat => ((d / occupancy_rate)) }

Occupancy rate

Conclusion: 0.601

Method: from country.
```
country.lodging_occupancy_rate
```
Electricity co2 emission factor

Conclusion: 0.540387

Method: from electricity mix.
```
electricity_mix.co2_emission_factor
```
Electricity ch4 emission factor

Conclusion: 0.00021695

Method: from electricity mix.
```
electricity_mix.ch4_emission_factor
```
Electricity n2o emission factor

Conclusion: 0.0021062

Method: from electricity mix.
```
electricity_mix.n2o_emission_factor
```
Electricity mix

Conclusion: AZNM egrid subregion electricity

Method: from egrid subregion.
```
egrid_subregion.electricity_mix
```
Heating degree days

Conclusion: 1166.11

Method: from climate division.
```
climate_division.heating_degree_days
```
Cooling degree days

Conclusion: 1552.22

Method: from climate division.
```
climate_division.cooling_degree_days
```
Country

Conclusion: US

Method: from state.
```
Country.united_states
```
Egrid subregion

Conclusion: AZNM

Method: from zip code.
```
zip_code.egrid_subregion
```
City

Conclusion: Las Vegas

Method: from zip code.
```
zip_code.description
```
Climate division

Conclusion: NV4

Method: from zip code.
```
zip_code.climate_division
```

Room nights

Conclusion: 2.0

Method: from rooms, duration, date, and timeframe.

date = if date.is_a?(Date) then
  date
else
  Date.parse(date.to_s)
end
if timeframe.include?(date) then
  ((duration / 86400.0) * rooms)
else
  0
end

Date

Conclusion: 2019-01-01

Method: from timeframe.
```
timeframe.from
```

Lodging impact calculation

Characteristics

Calculation

Carbon

Co2 emission

Ch4 emission

N2o emission

Energy

Fuel uses

Adjusted fuel intensities

Fuel intensities

Occupancy rate

Electricity co2 emission factor

Electricity ch4 emission factor

Electricity n2o emission factor

Electricity mix

Heating degree days

Cooling degree days

Country

Egrid subregion

City

Climate division

Room nights

Date