Environmental Impacts[LINK]
Typically when a new building technology is evaluated the energy performance of a baseline building is compared to the energy and life-cycle costs of alternatives to determine cost-effectiveness. But what if the lowest energy or life-cycle cost alternative is not the cleanest or lowest environmental impact? By calculating environmental impact, designers can compare alternatives not only in terms of their energy performance but also their environmental performance—working towards a more sustainable design (Liesen 1997; Stroot, Nemeth, and Fournier 1996). Environmental impacts are quantified, in part, by modeling the amount of emissions and in EnergyPlus this is done using the input objects “EnvironmentalImpactFactors,” “FuelFactors,” and “Output:EnvironmentalImpactFactors.”
Based on emissions factors entered by the user, EnergyPlus calculates the mass or volume of thirteen different pollutants: CO2 (carbon dioxide), CO (carbon monoxide), CH4 (methane), NOx (nitrogen oxides), N2O (nitrous oxide), SO2 (sulphur dioxide), PM (particulate matter), PM10 (particulate matter 10>PM10>2.5 microns), PM2.5 (particulate matter<2.5 microns), NH3 (ammonia), NMVOC (non-methane volatile organic compounds), Hg (mercury), and Pb (lead) as well as water consumed through evaporation in thermo- and hydro-electric generation and high- and low-level nuclear waste from nuclear electricity generation for on- and off-site energy production. Note that while these comprise the largest proportion of pollutants, more than one hundred other pollutants are emitted from fossil fuel combustion or electricity generation. Much of the information compiled here for fossil fuel combustion comes from AP-42 Compilation of Air Pollutant Emission Factors (EPA 1998a, 1998b, 1996). For more information on pollutants, see the U.S. Environmental Protection Agency (EPA) Clearinghouse for Inventories & Emission Factors (www.epa.gov/ttn/chief/efinformation.html).
EnergyPlus models energy performance of on-site fossil fuels and purchased electricity (generated from a variety of fuels including natural gas, oil, gasoline, diesel, coal, hydroelectric, nuclear, wind, solar power, and biomass). The energy performance calculated by EnergyPlus is converted into a mass or volume of pollutants emitted. From a baseline building, alternative energy and pollution saving technologies can be explored, and the energy savings and pollution reduction can be calculated. Figure 341 and Figure 342 illustrate a comparison of two buildings simulated using Chicago weather data in EnergyPlus and the calculated pollutant levels (based on U.S. national average pollutants) (Crawley 2003).
To calculate the mass or volume of each pollutant, consumption is multiplied by an emissions factor for each fuel (natural gas, electricity, fuel oil, diesel, or coal). In future versions, users will be able to schedule how the emissions factors by time of day, month, season and year. For electricity, the mix of generation fuel sources—whether utility, state or regional—is used to adjust the emission factors. If a user has emissions factors specific to the building site and equipment, these can be entered directly. There are no default emissions factors.
Types of Pollutants[LINK]
EPA categorizes pollutants as either Criteria Pollutants or Hazardous Pollutants. Criteria pollutants are the six substances for which EPA has set health-based standards, including carbon monoxide (CO), nitrogen oxides (NOx), sulfur dioxide (SO2), and particulate matter (PM10 and PM2.5), ozone (O3), and lead (Pb). Because ozone is created in atmospheric photochemical reactions of volatile organic compounds, ammonia, and other substances rather than direct building-related energy emissions, we do not calculated ozone emissions in EnergyPlus. But we do include ozone precursors: methane (CH4), non-methane volatile organic compounds (NMVOC), and ammonia (NH3). Hazardous pollutants are substances that are known or suspected to cause serious health problems such as cancer. We include typical hazardous substances associated with energy production and use including lead (Pb) and mercury (Hg). We also include CO2 (carbon dioxide) since it is largest greenhouse gas in terms of impact.
Figure 341. Example Annual Atmospheric Pollutants and Water Consumption
Figure 342. Example Annual Total Carbon Equivalent for Major Greenhouse Gases
Carbon Equivalent[LINK]
The Intergovernmental Panel on Climate Change has studied the effects on the relative radiative forcing effects of various greenhouse gases. This effect, called Global Warming Potential (GWP), is described in terms of the Carbon Equivalent of a particular greenhouse gas. This equivalent is based on a factor of 1.0 for carbon. This group of gases includes carbon dioxide (CO2), carbon monoxide, nitrous oxide, methane, halocarbon emission, hydrofluorocarbons (HFC), perfluorocarbons (PFC), and chlorofluorocarbons (CFC). For building energy use, the main gases of concern are carbon dioxide, carbon monoxide, methane, and nitrous oxide. Although carbon monoxide has a relatively short life, CO emissions into the atmosphere may have a significant impact on climate forcing due to chemical impact on CH4 lifetime, and tropospheric O3 and CO2 photochemical production normally reacts to produce carbon dioxide, but it can’t be ignored since it is produced in incomplete combustion and the carbon remains to interact as CO2. Yet there is no agreement on its carbon equivalent (IPCC 2001). The carbon equivalent of carbon dioxide, methane, and nitrous oxide are calculated and then multiplied by their GWP on a 100 year time frame. The Carbon Equivalents of the following gases have been determined and used in the program are shown in the following table.
Table 93. Carbon Equivalents (IPCC 2001)
|
Gas
|
Carbon Equivalent
|
|
NOx
|
80.7272
|
|
CH4
|
6.2727
|
|
CO2
|
0.2727
|
The resulting carbon equivalents by fuel type are shown in the output of the program along with the individual gas pollutants.
Fossil Fuel Emissions Factors[LINK]
Emission factors for on-site fossil fuel consumption are based on Section 1.4 Natural Gas Combustion in EPA (1998a) Table 94 shows the greenhouse gas and precursors and criteria pollutant emissions factors for natural gas. Similar emissions factors are shown for residual fuel oil (No. 4 and No. 6 fuel oil) [Table 95], distillates (No. 1 and No. 2 fuel oil) [Table 96], residential oil furnace [Table 97], LPG (butane and propane) [Table 98], gasoline and diesel [Table 99], and coal [Table 100] in the indicated tables. Note that a zero for a pollutant in the table may mean that no data were available, not that there are no emissions of that pollutant.
Table 94. Emission Factors for Natural Gas
|
Pollutant
|
Emission Factora (g/MJ)
|
|
Carbon Dioxide (CO2)
|
50.23439
|
|
Carbon Monoxide (CO)
|
3.51641E-02
|
|
Methane (CH4)
|
9.62826E-04
|
|
Nitrogen Oxides (NOX)
|
4.18620E-02
|
|
Nitrous Oxide (N2O)b
|
9.20964E-04
|
|
Sulphur Dioxide (SO2)c
|
2.51172E-04
|
|
Particulate Matter (PM)d
|
3.18151E-03
|
|
Particulate Matter (PM10)d
|
2.38613E-03
|
|
Particulate Matter (PM2.5)d
|
7.95378E-04
|
|
Ammonia (NH3)
|
0e
|
|
Volatile Organic Compounds (NMVOC)
|
2.30241E-03
|
|
Mercury (Hg)
|
1.08841E-07
|
|
Lead (Pb)
|
2.09310E-07
|
|
a Based on data from Tables 1.4-1, 1.4.-2 and 1.4.4 in EPA (1998a), Natural gas heat value of 1027 Btu/ft3 based on data for 2003 in Table A-4 in DOE (2004)
|
|
b Values shown are for uncontrolled burner. For controlled-low NOX burner, use 0.64 lb/106 ft3, 0.000627 lb/MMBtu, 0.0002679 g/MJ
|
|
c Based on 100% conversion of fuel sulfur to SO2. Assumes sulfur content is natural gas of 2,000 grains/106 ft3. The SO2 emission factor can be converted to other natural gas sulfur contents by multiplying the SO2 emission factor by the ratio of the site-specific sulfur content (grains/106 ft3) to 2,000 grains/106 ft3.
|
|
d PM is the sum of all particulate matter including PM10 and PM2.5. PM10 and PM2.5 stand for particles smaller than 10 and 2.5 microns, respectively.
|
|
e No data
|
Table 95. Emission Factors for Residual Fuel Oil (No. 4 and No. 6 Fuel Oil)
|
Pollutant
|
Emission Factor a (g/MJ)
|
|
Carbon Dioxide (CO 2 )
|
50.23439
|
|
Carbon Monoxide (CO)
|
3.52E-002
|
|
Methane (CH 4 )
|
9.63E-004
|
|
Nitrogen Oxides (NO X )
|
4.19E-002
|
|
Nitrous Oxide (N 2 O) b
|
9.21E-004
|
|
Sulphur Dioxide (SO 2 ) c
|
2.51E-004
|
|
Particulate Matter (PM) d
|
3.18E-003
|
|
Particulate Matter (PM10) d
|
2.39E-003
|
|
Particulate Matter (PM2.5) d
|
7.95E-004
|
|
Ammonia (NH 3 )
|
0 e
|
|
Volatile Organic Compounds (NMVOC)
|
2.30E-003
|
|
Mercury (Hg)
|
1.09E-007
|
|
Lead (Pb)
|
2.09E-007
|
|
a Based on data from Tables 1.4-1, 1.4.-2 and 1.4.4 in EPA (1998a), Natural gas heat value of 1027 Btu/ft3 based on data for 2003 in Table A-4 in DOE (2004)
|
|
b Values shown are for uncontrolled burner. For controlled-low NOX burner, use 0.64 lb/106 ft3, 0.000627 lb/MMBtu, 0.0002679 g/MJ
|
|
c Based on 100% conversion of fuel sulfur to SO2. Assumes sulfur content is natural gas of 2,000 contents by multiplying the SO2 emission factor by the ratio of the site-specific sulfur content (grains/106 ft3) to 2,000 grains/106 ft3. grains/106 ft3. The SO2 emission factor can be converted to other natural gas sulfur
|
|
d PM is the sum of all particulate matter including PM10 and PM2.5. PM10 and PM2.5 stand for particles smaller than 10 and 2.5 microns, respectively.
|
|
e No data.
|
Table 96. Emission Factors for Distillates (No. 1 and No. 2 Fuel Oil)
|
Pollutant
|
No. 1 Fuel Oil Emission Factora (g/MJ)
|
No. 2 Fuel Oil Emission Factora (g/MJ)
|
|
Carbon Dioxide (CO2)
|
66.0233
|
68.47998
|
|
Carbon Monoxide (CO)
|
1.54E-002
|
1.54E-002
|
|
Methane (CH4)
|
6.63E-004
|
6.63E-004
|
|
Nitrogen Oxides (NOX)
|
6.14E-002
|
7.37E-002
|
|
Nitrous Oxide (N2O)
|
3.38E-004
|
3.38E-004
|
|
Sulphur Dioxide (SO2)b
|
4.36E-001
|
4.82E-001
|
|
Particulate Matter (PM)c
|
6.14E-003
|
6.14E-003
|
|
Particulate Matter (PM10)c
|
3.32E-003
|
3.32E-003
|
|
Particulate Matter (PM2.5)c
|
2.55E-003
|
2.55E-003
|
|
Ammonia (NH3)
|
0d
|
0d
|
|
Volatile Organic Compounds (NMVOC)
|
1.04E-003
|
1.04E-003
|
|
Mercury (Hg)
|
3.47E-006
|
3.47E-006
|
|
Lead (Pb)
|
4.64E-006
|
4.64E-006
|
|
a Based on data from Tables 1.3-1, 1.3-3, 1-3.8, 1.3-10 and 1.3-12 in EPA (1998b).
|
|
|
|
b Based on 100% conversion of fuel sulfur to SO2. Assumes 1% sulfur content. The SO2 emission factor in this table can be converted to other natural gas sulfur contents by multiplying the SO2 emission factor by percentage sulfur content.
|
|
|
|
c PM is the sum of all particulate matter including PM10 and PM2.5. PM10 and PM2.5 stand for particles smaller than 10 and 2.5 microns, respectively
|
|
|
|
d No data.
|
|
|
Table 97. Emission Factors for Residential Oil Furnace
|
Pollutant
|
Emission Factora (g/MJ)
|
|
Carbon Dioxide (CO2)
|
68.48237
|
|
Carbon Monoxide (CO)
|
1.53543E-02
|
|
Methane (CH4)
|
5.46612E-02
|
|
Nitrogen Oxides (NOX)
|
5.52753E-02
|
|
Nitrous Oxide (N2O)
|
1.53543E-04
|
|
Sulphur Dioxide (SO2)b
|
4.36061E-01
|
|
Particulate Matter (PM)c
|
2.14960E-02
|
|
Particulate Matter (PM10)c
|
1.58763E-02
|
|
Particulate Matter (PM2.5)c
|
5.89603E-03
|
|
Ammonia (NH3)
|
0d
|
|
Volatile Organic Compounds (NMVOC)
|
2.18952E-03
|
|
Mercury (Hg)
|
3.47006E-06
|
|
Lead (Pb)
|
4.63699E-06
|
|
a Based on data from Tables 1.3-1, 1.3-3, 1.3-8, 1.3-10, and 1.3-12 in EPA (1998b).
|
|
b Based on 100% conversion of fuel sulfur to SO2. Assumes 1% sulfur content. The SO2 emission factor in this table can be converted to other natural gas sulfur contents by multiplying the SO2 emission factor by percentage sulfur content.
|
|
c PM is the sum of all particulate matter including PM10 and PM2.5. PM10 and PM2.5 stand for particles smaller than 10 and 2.5 microns, respectively.
|
|
d No data.
|
Table 98. Emission Factors for LPG (butane and propane)
|
Pollutant
|
LPG (butane) Emission Factor a (g/MJ)
|
Propane Emission Factor a (g/MJ)
|
|
Carbon Dioxide (CO2)
|
66.0233
|
68.47998
|
|
Carbon Monoxide (CO)
|
1.54E-002
|
1.54E-002
|
|
Methane (CH4)
|
6.63E-004
|
6.63E-004
|
|
Nitrogen Oxides (NOX)
|
6.14E-002
|
7.37E-002
|
|
Nitrous Oxide (N2O)
|
3.38E-004
|
3.38E-004
|
|
Sulphur Dioxide (SO2)b
|
4.36E-001
|
4.82E-001
|
|
Particulate Matter (PM)c
|
6.14E-003
|
6.14E-003
|
|
Particulate Matter (PM10)c
|
3.32E-003
|
3.32E-003
|
|
Particulate Matter (PM2.5)c
|
2.55E-003
|
2.55E-003
|
|
Ammonia (NH3)
|
0d
|
0d
|
|
Volatile Organic Compounds (NMVOC)
|
1.04E-003
|
1.04E-003
|
|
Mercury (Hg)
|
3.47E-006
|
3.47E-006
|
|
Lead (Pb)
|
4.64E-006
|
4.64E-006
|
|
a Based on data from Table # 1.5-1 in EPA (1996); Higher Heating value of 1.02 MMBtu/gal for butane and 0.915 MMBtu/gal for propane based on data in EPA (1996).
|
|
b Based on 100% conversion of fuel sulfur to SO2. Assumes sulphur content is 0.18 gr/100 ft3.The SO2 emission factor can be converted to other LPG sulphur contents by multiplying the SO2 emission factor by the ratio of the site-specific sulphur content gr/100 ft3 to 0.18 gr/100 ft3.
|
|
c PM is the sum of all particulate matter including PM10 and PM2.5. PM10 and PM2.5 stand for particles smaller than 10 and 2.5 microns; respectively.
|
|
d No data.
|
Table 99. Emission Factors for Gasoline and Diesel
|
Pollutant
|
Gasoline Emission Factora (g/MJ)
|
Diesel Emission Factora (g/MJ)
|
|
Carbon Dioxide (CO2)
|
66.20808
|
70.50731
|
|
Carbon Monoxide (CO)
|
2.70E+001
|
4.08E-001
|
|
Methane (CH4)
|
0c
|
0c
|
|
Nitrogen Oxides (NOX)
|
7.01E-001
|
1.90E+000
|
|
Nitrous Oxide (N2O)
|
0c
|
0c
|
|
Sulphur Dioxide (SO2)
|
3.61E-002
|
1.25E-001
|
|
Particulate Matter (PM)b
|
0c
|
0c
|
|
Particulate Matter (PM10)b
|
4.30E-002
|
1.33E-001
|
|
Particulate Matter (PM2.5)b
|
0c
|
0c
|
|
Ammonia (NH3)
|
0c
|
0c
|
|
Volatile Organic Compounds (NMVOC)
|
9.03E-001
|
1.50E-001
|
|
Mercury (Hg)
|
0c
|
0c
|
|
Lead (Pb)
|
0c
|
0c
|
|
a Based on data from Table # 3.3-1 in EPA (1996); Diesel higher heating value of 19300 Btu/lb and gasoline higher heating value of 20300 Btu/lb based on data in EPA (1996).
|
|
b PM is the sum of all particulate matter including PM10 and PM2.5. PM10 and PM2.5 stand for particles smaller than 10 and 2.5 microns; respectively.
|
|
c No data.
|
Table 100. Emission Factors for Coal
|
Pollutant
|
Bituminous Emission Factora (g/MJ)
|
Anthracite Emission Factora (g/MJ)
|
Lignite Emission Factora (g/MJ)
|
|
Carbon Dioxide (CO2)
|
91.11052
|
99.26669
|
152.12646
|
|
Carbon Monoxide (CO)
|
8.27E-003
|
1.05E-002
|
8.27E-003
|
|
Methane (CH4)
|
6.61E-004
|
0f
|
0f
|
|
Nitrogen Oxides (NOX)
|
1.98E-001
|
3.15E-001
|
2.35E-001
|
|
Nitrous Oxide (N2O)
|
4.96E-004
|
0f
|
0f
|
|
Sulphur Dioxide (SO2)d
|
6.28E-001
|
6.82E-001
|
9.92E-001
|
|
Particulate Matter (PM)e
|
1.65E-001
|
1.75E-001
|
2.18E-001
|
|
Particulate Matter (PM10)e
|
3.80E-002
|
4.02E-002
|
7.61E-002
|
|
Particulate Matter (PM2.5)e
|
9.92E-003
|
1.05E-002
|
2.18E-002
|
|
Ammonia (NH3)
|
0f
|
0f
|
0f
|
|
Volatile Organic Compounds (NMVOC)
|
9.92E-004
|
2.15E-002
|
1.32E-003
|
|
Mercury (Hg)
|
6.94E-006
|
2.27E-006
|
2.74E-006
|
|
Lead (Pb)
|
1.37E-006
|
1.56E-004
|
1.39E-005
|
|
a Based on data on pulverized coal from Tables 1.1-3, 1.1-6, 1.1-18, 1.1-19 in EPA (1998a), Coal average higher heating value of 26.0 MMBtu/ton based on EPA (1998a).
|
|
b Based on data on pulverized coal from Tables 1.2-1, 1.2-2, 1.2-3, 1.2-4, 1.2-7 in EPA (1996), Coal average higher heating value of 24.6 MMBtu/ton based on EPA (1996).
|
|
c Based on data on pulverized coal from Tables 1.7-1, 1.7-3, 1.7-7, 1.7-14 in EPA (1998b), Coal average higher heating value of 13.0 MMBtu/ton based on EPA (1998b).
|
|
d Based on 100% conversion of fuel sulfur to SO2. Assumes 1% sulfur content. The SO2 emission factor in this table can be converted to other natural gas sulfur contents by multiplying the SO2 emission factor by percentage sulfur content.
|
|
e PM is the sum of all particulate matter including PM10 and PM2.5. PM10 and PM2.5 are particles smaller than 10 and 2.5 microns, respectively. Expressed in terms of coal ash content, assumes 1% ash content. Multiply weight % ash content of coal (as fired) by the value.
|
|
f No data.
|
Off-Site Electricity Generation Emissions[LINK]
While estimating emissions from on-site fossil fuel combustion can be fairly straight-forward, emissions from off-site electricity is more challenging. How the electricity is generated, i.e., from gas, oil, coal, nuclear, renewable sources (wind, PV) or hydroelectric, and the mix of generation determines the resulting level of emissions. While data are available at utility and even power plant level (from the sources cited), data are shown here for United States national- and state-level average emissions from electricity generation. Table 101 provides average greenhouse gas and precursors and criteria pollutant emissions factors for the entire United States from electricity generation. Table 102 provides average electricity emissions factors by state, for greenhouse gas and precursors, and Table 103 for criteria pollutant emission factors. These two tables also include a ratio of heat input to electric output (efficiency of electricity generation) including distribution and transmission losses to allow calculation of source energy.
As mentioned in the introduction to this section, EnergyPlus also calculates water consumed through evaporation in thermo-electric and hydro-electric generation. Torcellini, Long, and Judkoff (2004) provide data on average water consumption by generator type by state. These data are summarized in units suitable for EnergyPlus in Table 101, for national and state average water consumption for thermal-electric, hydro-electric, and Table 102 for weighted total electricity generation.
Table 101. United States National Average Emission Factors for Electricity Generation
|
|
Efficiency Ratio (J/J)
|
|
Ratio of Heat Input to Electricity Outputa
|
2.253
|
|
|
|
|
Pollutant
|
Emission Factor (g/MJ)
|
|
Carbon Dioxide (CO2)b
|
168.333168
|
|
Carbon Monoxide (CO)c
|
4.20616E-02
|
|
Methane (CH4)b
|
1.39858E-03
|
|
Nitrogen Oxides (NOX)a
|
4.10753E-01
|
|
Nitrous Oxide (N2O)b
|
2.41916E-03
|
|
Sulphur Dioxide (SO2)a
|
8.65731E-01
|
|
Particulate Matter (PM)c,d
|
2.95827E-02
|
|
Particulate Matter (PM10)c,d
|
1.80450E-02
|
|
Particulate Matter (PM2.5)c,d
|
1.15377E-02
|
|
Ammonia (NH3)c
|
1.10837E-03
|
|
Volatile Organic Compounds (NMVOC)a
|
3.72332E-03
|
|
Mercury (Hg)c
|
3.36414E-06
|
|
Lead (Pb)
|
0e
|
|
a Data based on 1999 data from eGRID version 2.01 (EPA 2003a).
|
|
b Data based on 1998-2000 average data in DOE (2002).
|
|
c Data based on tier emissions report for criteria air pollutants in EPA (2003b).
|
|
d PM is the sum of all particulate matter including PM10 and PM2.5. PM10 and PM2.5 stand for particles smaller than 10 and 2.5 microns, respectively.
|
|
e No data.
|
Table 102. U. S. State Average Greenhouse Gas Emission Factors for Electricity Generation, in g/MJ
|
|
Ratio of Heat Input to Electric Output
|
Carbon Dioxide (CO 2 ) b
|
Carbon Monoxide (CO) c
|
Methane (CH4) b
|
Nitrogen Oxides (NO X ) a
|
Nitrous Oxide (N 2 O) b
|
Sulphur Dioxide (SO 2 ) a
|
|
Alabama
|
2.23
|
165.30922
|
1.45E+003
|
1.73E-003
|
4.02E-001
|
2.81E-003
|
1.14E+000
|
|
Alaska
|
2.734
|
173.87708
|
3.72E+002
|
8.57E-004
|
7.29E-001
|
1.12E-003
|
2.38E-001
|
|
Arizona
|
1.694
|
132.29777
|
8.27E+002
|
8.57E-004
|
2.74E-001
|
1.94E-003
|
2.28E-001
|
|
Arkansas
|
2.207
|
162.03327
|
6.42E+002
|
1.57E-003
|
2.87E-001
|
2.56E-003
|
4.25E-001
|
|
California
|
1.422
|
76.35472
|
2.91E+003
|
8.44E-004
|
6.56E-002
|
4.66E-004
|
3.05E-002
|
|
Colorado
|
3.101
|
242.67192
|
1.51E+003
|
1.60E-003
|
4.74E-001
|
3.64E-003
|
5.84E-001
|
|
Connecticut
|
1.72
|
118.69
|
3.21E+002
|
2.19E-003
|
1.82E-001
|
1.51E-003
|
3.79E-001
|
|
Delaware
|
2.736
|
230.57612
|
1.31E+002
|
1.55E-003
|
4.13E-001
|
2.86E-003
|
1.11E+000
|
|
District of Columbia
|
4.844
|
172.1131
|
8.95E+000
|
1.49E-003
|
7.30E-001
|
2.60E-003
|
1.62E+000
|
|
Florida
|
2.694
|
175.64105
|
6.13E+003
|
1.89E-003
|
4.73E-001
|
2.27E-003
|
1.01E+000
|
|
Georgia
|
2.119
|
172.1131
|
1.06E+003
|
1.63E-003
|
4.00E-001
|
2.85E-003
|
1.12E+000
|
|
Hawaii
|
2.95
|
209.40848
|
1.18E+002
|
2.70E-003
|
7.28E-001
|
2.31E-003
|
5.44E-001
|
|
Idaho
|
0.213
|
3.52794
|
0
|
1.01E-003
|
1.07E-002
|
4.16E-004
|
1.06E-002
|
|
Illinois
|
1.694
|
146.66153
|
1.85E+003
|
1.03E-003
|
4.42E-001
|
2.27E-003
|
1.12E+000
|
|
Indiana
|
3.281
|
261.5716
|
2.14E+003
|
1.80E-003
|
7.30E-001
|
4.07E-003
|
1.89E+000
|
|
Iowa
|
3.033
|
237.12801
|
7.58E+002
|
1.74E-003
|
5.61E-001
|
3.75E-003
|
1.05E+000
|
|
Kansas
|
2.826
|
212.18043
|
8.66E+002
|
1.41E-003
|
5.59E-001
|
3.20E-003
|
7.07E-001
|
|
Kentucky
|
3.234
|
253.00374
|
1.51E+003
|
1.76E-003
|
8.41E-001
|
4.04E-003
|
1.79E+000
|
|
Lousiana
|
2.624
|
148.4255
|
1.68E+004
|
1.18E-003
|
3.42E-001
|
1.41E-003
|
5.06E-001
|
|
Maine
|
2.191
|
107.35019
|
4.93E+002
|
7.12E-003
|
1.80E-001
|
3.40E-003
|
4.04E-001
|
|
Maryland
|
2.277
|
172.1131
|
4.90E+002
|
1.49E-003
|
5.38E-001
|
2.60E-003
|
1.39E+000
|
|
Massachusetts
|
2.729
|
161.02529
|
7.89E+002
|
2.19E-003
|
2.89E-001
|
2.00E-003
|
8.01E-001
|
|
Michigan
|
2.616
|
199.07665
|
1.69E+003
|
1.84E-003
|
4.92E-001
|
3.15E-003
|
9.77E-001
|
|
Minnesota
|
2.331
|
163.04126
|
6.96E+002
|
1.66E-003
|
5.02E-001
|
2.08E-003
|
5.07E-001
|
|
Mississippi
|
2.404
|
231.8361
|
2.18E+003
|
1.59E-003
|
4.67E-001
|
3.63E-003
|
8.98E-001
|
|
Missouri
|
2.857
|
192.02077
|
1.30E+003
|
1.98E-003
|
6.42E-001
|
3.11E-003
|
9.07E-001
|
|
Montana
|
1.936
|
180.68096
|
4.13E+002
|
1.36E-003
|
3.58E-001
|
2.86E-003
|
2.01E-001
|
|
Nebraska
|
2.195
|
176.39703
|
4.68E+002
|
1.20E-003
|
3.94E-001
|
2.76E-003
|
5.29E-001
|
|
Nevada
|
2.615
|
191.26478
|
3.82E+002
|
1.13E-003
|
4.02E-001
|
2.46E-003
|
4.03E-001
|
|
New Hampshire
|
1.394
|
85.93055
|
2.64E+002
|
2.17E-003
|
2.03E-001
|
1.78E-003
|
8.71E-001
|
|
New Jersey
|
1.451
|
88.9545
|
2.27E+003
|
9.70E-004
|
1.77E-001
|
9.95E-004
|
2.31E-001
|
|
New Mexico
|
3.307
|
254.26372
|
8.56E+002
|
1.65E-003
|
6.58E-001
|
3.73E-003
|
5.70E-001
|
|
New York
|
1.808
|
108.10618
|
1.94E+003
|
1.02E-003
|
1.69E-001
|
1.12E-003
|
4.68E-001
|
|
North Carolina
|
1.969
|
156.48937
|
1.10E+003
|
1.32E-003
|
4.69E-001
|
2.56E-003
|
1.00E+000
|
|
North Dakota
|
3.244
|
282.48725
|
9.01E+002
|
1.85E-003
|
6.45E-001
|
4.27E-003
|
1.53E+000
|
|
Ohio
|
2.736
|
226.79619
|
1.59E+003
|
1.64E-003
|
7.68E-001
|
3.63E-003
|
2.34E+000
|
|
Oklahoma
|
3.024
|
216.96835
|
1.67E+003
|
1.39E-003
|
5.11E-001
|
2.81E-003
|
5.11E-001
|
|
Oregon
|
0.526
|
35.5314
|
1.87E+002
|
4.16E-004
|
5.27E-002
|
4.28E-004
|
7.51E-002
|
|
Pennsylvania
|
1.827
|
159.26132
|
1.86E+003
|
1.35E-003
|
3.29E-001
|
2.56E-003
|
1.26E+000
|
|
Rhode Island
|
2.561
|
132.54977
|
1.68E+002
|
8.57E-004
|
6.21E-002
|
5.92E-004
|
4.54E-003
|
|
South Carolina
|
1.3
|
105.08223
|
8.39E+002
|
1.15E-003
|
2.54E-001
|
1.83E-003
|
6.05E-001
|
|
South Dakota
|
1.192
|
100.54631
|
9.79E+001
|
6.68E-004
|
5.45E-001
|
1.52E-003
|
5.81E-001
|
|
Tennessee
|
1.902
|
163.29325
|
9.10E+002
|
1.32E-003
|
5.10E-001
|
2.67E-003
|
1.18E+000
|
|
Texas
|
2.749
|
184.4609
|
9.63E+003
|
9.70E-004
|
3.28E-001
|
1.84E-003
|
4.91E-001
|
|
Utah
|
3.095
|
243.6799
|
5.13E+002
|
1.69E-003
|
5.27E-001
|
3.88E-003
|
2.13E-001
|
|
Vermont
|
0.306
|
3.52794
|
1.38E+002
|
1.21E-003
|
1.94E-002
|
4.91E-004
|
2.14E-003
|
|
Virginia
|
1.924
|
146.66153
|
9.13E+002
|
1.73E-003
|
3.65E-001
|
2.42E-003
|
7.87E-001
|
|
Washington
|
0.414
|
30.99548
|
4.30E+002
|
4.66E-004
|
5.30E-002
|
5.04E-004
|
1.90E-001
|
|
West Virginia
|
2.917
|
248.97181
|
1.28E+003
|
1.73E-003
|
7.78E-001
|
3.98E-003
|
1.87E+000
|
|
Wisconsin
|
2.68
|
206.88852
|
1.00E+003
|
1.74E-003
|
4.97E-001
|
3.28E-003
|
9.25E-001
|
|
Wyoming
|
3.534
|
270.39145
|
9.01E+002
|
1.85E-003
|
5.59E-001
|
4.26E-003
|
5.79E-001
|
|
a Data based on 1999 data from eGRID version 2.01 (EPA 2003a).
|
|
b Data based on 1998-2000 average data in DOE (2002).
|
|
c Data based on tier emissions report for criteria air pollutants in EPA (2003b).
|
|
d PM is the sum of all particulate matter including PM10 and PM2.5. PM10 and PM2.5 stand for particles smaller than 10 and 2.5 microns, respectively.
|
|
e No data.
|
Table 103. U. S. State Average Criteria Pollutant Emission Factors for Electricity Generation, in g/MJ
|
|
Particulate Matter (PM)cd
|
Particulate Matter (PM10)cd
|
Particulate Matter (PM2.5)cd
|
Ammonia (NH3)c
|
Volatile Organic Compounds (NMVOC)a
|
Mercury (Hg)c
|
Lead (Pb)e
|
|
Alabama
|
7.91048E-03
|
7.86328E-03
|
4.72023E-05
|
3.55049E-05
|
4.66784E-03
|
5.14071E-06
|
0e
|
|
Alaska
|
8.96502E-03
|
8.85977E-03
|
1.05247E-04
|
6.51454E-06
|
2.82297E-03
|
3.27594E-07
|
0e
|
|
Arizona
|
1.70555E-02
|
1.69322E-02
|
1.23202E-04
|
1.80226E-04
|
2.27385E-03
|
1.88997E-06
|
0e
|
|
Arkansas
|
9.27803E-03
|
9.19307E-03
|
8.49561E-05
|
4.59383E-04
|
3.46429E-03
|
2.73415E-06
|
0e
|
|
California
|
7.16813E-03
|
7.07819E-03
|
8.99402E-05
|
4.02651E-03
|
2.62453E-03
|
1.38598E-07
|
0e
|
|
Colorado
|
7.29822E-03
|
7.23699E-03
|
6.12291E-05
|
9.56430E-05
|
4.36770E-03
|
1.62537E-06
|
0e
|
|
Connecticut
|
1.22734E-02
|
1.21694E-02
|
1.04033E-04
|
2.22944E-03
|
3.93896E-03
|
1.18438E-06
|
0e
|
|
Delaware
|
1.39283E-02
|
1.38287E-02
|
9.96131E-05
|
1.54469E-03
|
4.74441E-03
|
3.62874E-06
|
0e
|
|
District of Columbia
|
2.88269E-02
|
2.84861E-02
|
3.40760E-04
|
8.76496E-03
|
2.30080E-02
|
0
|
0e
|
|
Florida
|
4.33040E-02
|
4.29055E-02
|
3.98460E-04
|
1.58386E-03
|
3.39110E-03
|
1.71357E-06
|
0e
|
|
Georgia
|
2.05237E-02
|
2.03865E-02
|
1.37175E-04
|
7.51637E-05
|
2.16686E-03
|
3.20035E-06
|
0e
|
|
Hawaii
|
5.97339E-03
|
5.90409E-03
|
6.92999E-05
|
3.55697E-03
|
7.01715E-03
|
1.77657E-06
|
0e
|
|
Idaho
|
0
|
0
|
0
|
0
|
0
|
0
|
0
|
|
Illinois
|
1.53276E-01
|
1.52156E-01
|
1.12047E-03
|
5.93583E-03
|
2.77818E-02
|
4.62412E-06
|
0e
|
|
Indiana
|
2.18862E-02
|
2.17008E-02
|
1.85453E-04
|
5.75861E-04
|
4.87283E-03
|
4.86352E-06
|
0e
|
|
Iowa
|
2.34564E-02
|
2.32698E-02
|
1.86674E-04
|
9.09228E-05
|
4.78644E-03
|
6.19910E-06
|
0e
|
|
Kansas
|
2.41783E-02
|
2.39535E-02
|
2.24799E-04
|
4.19292E-04
|
5.39089E-03
|
4.93912E-06
|
0e
|
|
Kentucky
|
1.69397E-02
|
1.68139E-02
|
1.25825E-04
|
4.35029E-05
|
3.80922E-03
|
4.71232E-06
|
0e
|
|
Lousiana
|
1.79917E-02
|
1.77843E-02
|
2.07304E-04
|
1.66720E-03
|
1.02357E-02
|
1.41118E-06
|
0e
|
|
Maine
|
3.36399E-03
|
3.34131E-03
|
2.26813E-05
|
1.55132E-03
|
9.62614E-03
|
4.53592E-07
|
0e
|
|
Maryland
|
2.13382E-02
|
2.12038E-02
|
1.34391E-04
|
7.21581E-04
|
2.78881E-03
|
4.88872E-06
|
0e
|
|
Mass-achusetts
|
8.85244E-03
|
8.76617E-03
|
8.62772E-05
|
1.70282E-03
|
3.49171E-03
|
1.88997E-06
|
0e
|
|
Michigan
|
9.08755E-03
|
9.00520E-03
|
8.23449E-05
|
2.22140E-04
|
2.79017E-03
|
3.67914E-06
|
0e
|
|
Minnesota
|
4.04781E-02
|
4.01455E-02
|
3.32617E-04
|
6.74889E-05
|
4.13240E-03
|
3.30114E-06
|
0e
|
|
Mississippi
|
5.44446E-02
|
5.37910E-02
|
6.53601E-04
|
4.06289E-02
|
1.54329E-02
|
2.45696E-06
|
0e
|
|
Missouri
|
1.25537E-02
|
1.24368E-02
|
1.16929E-04
|
6.48638E-05
|
4.98085E-03
|
4.67452E-06
|
0e
|
|
Montana
|
3.67504E-03
|
3.64126E-03
|
3.37798E-05
|
4.01020E-05
|
3.14400E-03
|
3.77994E-06
|
0e
|
|
Nebraska
|
1.33751E-02
|
1.32829E-02
|
9.21636E-05
|
6.90470E-05
|
5.23031E-03
|
3.59094E-06
|
0e
|
|
Nevada
|
2.09146E-02
|
2.07657E-02
|
1.48886E-04
|
3.79659E-04
|
3.33440E-03
|
1.36078E-06
|
0e
|
|
New Hampshire
|
3.09503E-02
|
3.06487E-02
|
3.01568E-04
|
7.16019E-04
|
2.45937E-03
|
3.40194E-07
|
0e
|
|
New Jersey
|
3.45712E-02
|
3.41460E-02
|
4.25200E-04
|
1.24216E-04
|
1.52830E-02
|
1.28518E-06
|
0e
|
|
New Mexico
|
5.20754E-02
|
5.16748E-02
|
4.00653E-04
|
4.41665E-04
|
5.12951E-03
|
8.41666E-06
|
0e
|
|
New York
|
5.35802E-03
|
5.31301E-03
|
4.50068E-05
|
2.22325E-03
|
4.26008E-03
|
1.33558E-06
|
0e
|
|
North Carolina
|
3.40955E-02
|
3.38325E-02
|
2.62976E-04
|
3.00504E-05
|
1.73434E-03
|
3.33894E-06
|
0e
|
|
North Dakota
|
5.17162E-02
|
5.13979E-02
|
3.18277E-04
|
6.41672E-05
|
6.88995E-03
|
8.71905E-06
|
0e
|
|
Ohio
|
1.38722E-02
|
1.37957E-02
|
7.64501E-05
|
1.11541E-04
|
2.59201E-03
|
6.24949E-06
|
0e
|
|
Oklahoma
|
1.83971E-02
|
1.82479E-02
|
1.49160E-04
|
9.73713E-04
|
4.68484E-03
|
3.88073E-06
|
0e
|
|
Oregon
|
3.47911E-03
|
3.46199E-03
|
1.71186E-05
|
4.43277E-06
|
5.31933E-04
|
3.77994E-07
|
0e
|
|
Pennsylvania
|
2.21604E-02
|
2.20060E-02
|
1.54356E-04
|
1.47657E-04
|
1.51542E-03
|
6.56449E-06
|
0e
|
|
Rhode Island
|
1.03973E-03
|
1.02744E-03
|
1.22906E-05
|
0
|
2.25247E-03
|
0
|
0e
|
|
South Carolina
|
2.45530E-02
|
2.43803E-02
|
1.72632E-04
|
2.51344E-05
|
1.16735E-03
|
1.54977E-06
|
0e
|
|
South Dakota
|
4.67825E-03
|
4.63562E-03
|
4.26239E-05
|
8.82976E-05
|
4.63562E-03
|
1.22218E-06
|
0e
|
|
Tennessee
|
2.51650E-02
|
2.48944E-02
|
2.70575E-04
|
2.70034E-05
|
2.88396E-03
|
2.98615E-06
|
0e
|
|
Texas
|
1.73147E-02
|
1.71765E-02
|
1.38283E-04
|
1.26310E-03
|
4.32150E-03
|
3.52794E-06
|
0e
|
|
Utah
|
1.47314E-02
|
1.46364E-02
|
9.50155E-05
|
9.59315E-05
|
2.48737E-03
|
9.70184E-07
|
0e
|
|
Vermont
|
1.16247E-03
|
1.14873E-03
|
1.37415E-05
|
1.80704E-05
|
2.12073E-03
|
0
|
0e
|
|
Virginia
|
1.22315E-02
|
1.21362E-02
|
9.53635E-05
|
2.93259E-04
|
2.50975E-03
|
2.21756E-06
|
0e
|
|
Washington
|
5.37627E-04
|
5.32210E-04
|
5.41708E-06
|
6.46409E-06
|
6.87348E-04
|
5.92190E-07
|
0e
|
|
West Virginia
|
2.39677E-03
|
2.38177E-03
|
1.50018E-05
|
4.25792E-05
|
3.09497E-03
|
6.55189E-06
|
0e
|
|
Wisconsin
|
7.34187E-03
|
7.28252E-03
|
5.93472E-05
|
6.45613E-05
|
4.61829E-03
|
4.83832E-06
|
0e
|
|
Wyoming
|
5.08215E-02
|
5.06042E-02
|
2.17349E-04
|
5.19787E-05
|
4.78782E-03
|
5.27931E-06
|
0e
|
Table 104. United States National Average Water Consumption Factors
a
|
|
ThermoElectric Generation
|
HydroElectric Generation
|
Weighted Total Water Consumption
|
|
|
L/MJ
|
Percent of Total Generation
|
L/MJ
|
Percent of Total Generation
|
L/MJ
|
|
United States
|
0.4960
|
89.4%
|
19.2095
|
8.6%
|
2.1007
|
|
a Based on data from Torcellini, Long, and Judkoff (2004).
|
Table 105. U.S. State Average Water Consumption Factors for Electricity Generation
a
|
|
ThermoElectric Generation
|
HydroElectric Generation
|
Weighted Total Water Consumption
|
|
State
|
L/MJ
|
Percent of Total Generation
|
L/MJ
|
Percent of Total Generation
|
L/MJ
|
|
Alabama
|
0.1503
|
89.80%
|
38.9053
|
6.4%
|
2.6274
|
|
Alaska
|
0.3295
|
86.20%
|
–
|
13.8%
|
0.2839
|
|
Arizona
|
0.3313
|
88.30%
|
68.1928
|
11.7%
|
8.2533
|
|
Arkansas
|
0.3
|
89.50%
|
–
|
5.7%
|
0.2684
|
|
California
|
0.0511
|
74.10%
|
21.943
|
22.0%
|
4.8739
|
|
Colorado
|
0.5368
|
96.00%
|
18.8333
|
4.0%
|
1.26
|
|
Connecticut
|
0.086
|
90.80%
|
–
|
1.5%
|
0.0781
|
|
Delaware
|
0.0132
|
99.90%
|
–
|
0.0%
|
0.0132
|
|
District of Columbia
|
1.6959
|
100.00%
|
–
|
0.0%
|
1.6959
|
|
Florida
|
0.1506
|
95.70%
|
–
|
0.1%
|
0.1441
|
|
Georgia
|
0.6267
|
93.60%
|
49.8599
|
2.3%
|
1.7339
|
|
Hawaii
|
0.044
|
92.40%
|
–
|
1.1%
|
0.0407
|
|
Idaho
|
0
|
2.70%
|
8.9528
|
92.2%
|
8.2501
|
|
Illinois
|
1.1093
|
99.40%
|
–
|
0.1%
|
1.1032
|
|
Indiana
|
0.435
|
99.60%
|
–
|
0.3%
|
0.4331
|
|
Iowa
|
0.1229
|
97.30%
|
–
|
2.5%
|
0.1196
|
|
Kansas
|
0.6099
|
100.00%
|
–
|
0.0%
|
0.6098
|
|
Kentucky
|
1.1521
|
97.20%
|
162.2884
|
2.8%
|
5.599
|
|
Louisiana
|
1.6411
|
94.20%
|
–
|
0.9%
|
1.5461
|
|
Maine
|
0.3049
|
40.40%
|
–
|
28.7%
|
0.1231
|
|
Maryland
|
0.0343
|
95.30%
|
7.0617
|
2.7%
|
0.2259
|
|
Massachusetts
|
0
|
92.40%
|
–
|
2.4%
|
0
|
|
Michigan
|
0.5221
|
95.80%
|
–
|
1.4%
|
0.4999
|
|
Minnesota
|
0.4657
|
93.40%
|
–
|
2.4%
|
0.4351
|
|
Mississippi
|
0.4145
|
94.40%
|
–
|
0.0%
|
0.3912
|
|
Missouri
|
0.3213
|
97.40%
|
–
|
2.5%
|
0.313
|
|
Montana
|
1.0051
|
55.80%
|
38.6619
|
44.1%
|
17.5997
|
|
Nebraska
|
0.202
|
94.50%
|
2.2888
|
5.5%
|
0.3165
|
|
Nevada
|
0.5936
|
90.60%
|
77.1023
|
9.2%
|
7.626
|
|
New Hampshire
|
0.1231
|
83.90%
|
–
|
8.6%
|
0.1033
|
|
New Jersey
|
0.0747
|
97.60%
|
–
|
0.0%
|
0.0729
|
|
New Mexico
|
0.6609
|
99.30%
|
71.507
|
0.7%
|
1.1886
|
|
New York
|
0.8951
|
81.30%
|
5.8535
|
16.7%
|
1.704
|
|
North Carolina
|
0.2445
|
95.50%
|
10.9089
|
3.1%
|
0.5751
|
|
North Dakota
|
0.3809
|
91.70%
|
60.773
|
8.3%
|
5.3968
|
|
Ohio
|
0.9972
|
99.10%
|
–
|
0.3%
|
0.9884
|
|
Oklahoma
|
0.5378
|
93.70%
|
144.0133
|
5.8%
|
8.8254
|
|
Oregon
|
0.8633
|
18.40%
|
4.6351
|
80.7%
|
3.899
|
|
Pennsylvania
|
0.57
|
97.60%
|
–
|
1.0%
|
0.5563
|
|
Rhode Island
|
0
|
98.20%
|
–
|
0.1%
|
0
|
|
South Carolina
|
0.2754
|
97.20%
|
–
|
1.9%
|
0.2677
|
|
South Dakota
|
0.0143
|
36.70%
|
120.7558
|
63.2%
|
76.3811
|
|
Tennessee
|
0.0026
|
90.80%
|
45.5853
|
8.3%
|
3.7833
|
|
Texas
|
0.4595
|
99.00%
|
–
|
0.3%
|
0.455
|
|
Utah
|
0.5959
|
96.60%
|
77.115
|
3.4%
|
3.209
|
|
Vermont
|
0.3642
|
71.50%
|
–
|
20.9%
|
0.2605
|
|
Virginia
|
0.0693
|
94.90%
|
–
|
0.9%
|
0.0657
|
|
Washington
|
0.3013
|
15.70%
|
3.3506
|
83.2%
|
2.8344
|
|
West Virginia
|
0.618
|
99.00%
|
–
|
1.0%
|
0.6119
|
|
Wisconsin
|
0.5199
|
93.60%
|
–
|
3.3%
|
0.4867
|
|
Wyoming
|
0.519
|
97.10%
|
144.0177
|
2.7%
|
4.3654
|
|
a Based on data from Torcellini, Long, and Judkoff (2004).
|
EnergyPlus (with user entered-data) will also calculate high- and low-level nuclear waste from electricity generation. Few utilities now provide data on nuclear waste resulting from electricity generation and no US national or state-level data are yet available (this will be added as data become available). Two Illinois utilities regularly report nuclear waste in terms of pounds per kWh or MWh for high-level waste and cubic feet per kWh or MWh for low-level waste. For these two utilities, high level nuclear waste values range from 0.0042 to 0.01 lb/MWh (7000 to 16000 g/MJ); low-level nuclear waste ranges from 0.0001 to 0.0002 ft3/MWh (0.01 to 0.02 m3/MJ) depending on relative proportion of nuclear as compared with other electricity generation sources.
IEA (2003) contains carbon dioxide (CO2) emissions factors for electricity generation by country and region. Carbon dioxide (CO2) is responsible for over 60% of the anthropogenic greenhouse effect (UNEP 2002). Because only limited greenhouse gas emissions factors and data (other than CO2) is available for other countries, an interim method for estimating emission factors would be to compare the CO2 emission factor for the particular country from IEA (2003) and match it to the state with the closest CO2 emission factor in Table 102—using the other emissions factors for that state. Since the Kyoto Protocol (UNFCCC 1997) requires each country to report emissions of the major greenhouse gases [carbon dioxide (CO2), methane (CH4), and nitrous oxide (N2O)] as well as ozone-depleting substances [hydrofluorocarbons (HFC), perfluorocarbons (PFC), and sulphur hexafluoride (SF6)] and all energy consumption in their annual ‘national communication’, more complete emission factors for a larger number of countries should become available over the next few years. More information and other resources for calculating emissions factors are available in IPCC (2000, 1997).
Crawley, Drury B. 2003. “Impact of Climate Change on Buildings,” in Proceedings of the CIBSE/ASHRAE International Conference 2003, September 2003, Edinburgh, Scotland. London, England: CIBSE.
Intergovernmental Panel on Climate Change. 2001. Climate Change 2001: The Scientific Basis. Cambridge: Cambridge University Press.
Intergovernmental Panel on Climate Change. 2000. Good Practice Guidance and Uncertainty Management in National Greenhouse Gas Inventories, Paris, France: IPCC/OECD/IEA.
Intergovernmental Panel on Climate Change. 1997. Revised 1996 IPCC Guidelines for National Greenhouse Gas Inventories, J.T. Houghton, L.G. Meira Filho, B. Lim, K. Treanton, I. Mamaty, Y. Bonduki, D.J. Griggs and B.A. Callender (editors). Paris, France: IPCC/OECD/IEA.
International Energy Agency. 2003. CO2 Emissions from Fuel Combustion 1971-2001 (2003) – 2003 Edition. Paris, France: IEA.
Liesen, Richard J. 1997. Atmospheric Pollution Prediction in a Building Energy Simulation Program, April 1997, BLAST Support Office, Department of Mechanical Engineering. Champaign, Illinois: University of Illinois.
Stroot, Peter J., Robert J. Nemeth, & Donald F. Fournier. 1996. Pollution Reduction Through Energy Conservation, REEP Model. Champaign, Illinois: U S Army Construction Engineering Research Laboratory.
Torcellini Paul A, Nicholas Long, and Ronald D. Judkoff. 2004. “Consumptive Water Use for U.S. Power Production,” in ASHRAE Transactions, Volume 110, Part 1. Atlanta, Georgia: ASHRAE.
United Nations Environment Programme. 2002. Climate Change Information Kit. Châtelaine, Switzerland: UNEP.
United Nations Framework Convention on Climate Change. 1997. Kyoto Protocol to the United Nations Framework Convention on Climate Change. Bonn, Germany: UNFCCC.
U.S. Department of Energy. 2004. Monthly Energy Review. Washington, DC: Energy Information Administration, U S Department of Energy.
U.S. Department of Energy. 2002. Updated State-level Greenhouse Gas Emission Coefficients for Electricity Generation 1998-2000. April 2002, Energy Information Administration, Office of Integrated Analysis and Forecasting, Energy Information Administration. Washington, DC: U.S. Department of Energy.
U.S. Environmental Protection Agency. 2003a. eGRID Emissions and Generation Resource Integrated Database, May 2003, Washington, DC: U.S. Environmental Protection Agency.
U.S. Environmental Protection Agency. 2003b. AirData, Tier Emissions Report - Criteria Air Pollutants, 1999 data, May 2003. Washington, DC: U.S. Environmental Protection Agency.
U.S. Environmental Protection Agency. 1998a. Compilation of Air Pollutant Emission Factors, AP-42, Fifth Edition, Volume I: Stationary Point and Area Sources, Chapter 1 External Combustion Sources, Supplement D, July 1998. Research Triangle Park, North Carolina: U. S. Environmental Protection Agency.
U.S. Environmental Protection Agency. 1998b. Compilation of Air Pollutant Emission Factors, AP-42, Fifth Edition, Volume I: Stationary Point and Area Sources, Chapter 1 External Combustion Sources, Supplement E, September 1998. Research Triangle Park, North Carolina: U. S. Environmental Protection Agency.
U.S. Environmental Protection Agency. 1996. Compilation of Air Pollutant Emission Factors, AP-42, Fifth Edition, Volume I: Stationary Point and Area Sources, Chapter 1 External Combustion Sources, Supplement B, October 1996. Research Triangle Park, North Carolina: U. S. Environmental Protection Agency.
Environmental Impacts[LINK]
Typically when a new building technology is evaluated the energy performance of a baseline building is compared to the energy and life-cycle costs of alternatives to determine cost-effectiveness. But what if the lowest energy or life-cycle cost alternative is not the cleanest or lowest environmental impact? By calculating environmental impact, designers can compare alternatives not only in terms of their energy performance but also their environmental performance—working towards a more sustainable design (Liesen 1997; Stroot, Nemeth, and Fournier 1996). Environmental impacts are quantified, in part, by modeling the amount of emissions and in EnergyPlus this is done using the input objects “EnvironmentalImpactFactors,” “FuelFactors,” and “Output:EnvironmentalImpactFactors.”
Based on emissions factors entered by the user, EnergyPlus calculates the mass or volume of thirteen different pollutants: CO2 (carbon dioxide), CO (carbon monoxide), CH4 (methane), NOx (nitrogen oxides), N2O (nitrous oxide), SO2 (sulphur dioxide), PM (particulate matter), PM10 (particulate matter 10>PM10>2.5 microns), PM2.5 (particulate matter<2.5 microns), NH3 (ammonia), NMVOC (non-methane volatile organic compounds), Hg (mercury), and Pb (lead) as well as water consumed through evaporation in thermo- and hydro-electric generation and high- and low-level nuclear waste from nuclear electricity generation for on- and off-site energy production. Note that while these comprise the largest proportion of pollutants, more than one hundred other pollutants are emitted from fossil fuel combustion or electricity generation. Much of the information compiled here for fossil fuel combustion comes from AP-42 Compilation of Air Pollutant Emission Factors (EPA 1998a, 1998b, 1996). For more information on pollutants, see the U.S. Environmental Protection Agency (EPA) Clearinghouse for Inventories & Emission Factors (www.epa.gov/ttn/chief/efinformation.html).
EnergyPlus models energy performance of on-site fossil fuels and purchased electricity (generated from a variety of fuels including natural gas, oil, gasoline, diesel, coal, hydroelectric, nuclear, wind, solar power, and biomass). The energy performance calculated by EnergyPlus is converted into a mass or volume of pollutants emitted. From a baseline building, alternative energy and pollution saving technologies can be explored, and the energy savings and pollution reduction can be calculated. Figure 341 and Figure 342 illustrate a comparison of two buildings simulated using Chicago weather data in EnergyPlus and the calculated pollutant levels (based on U.S. national average pollutants) (Crawley 2003).
To calculate the mass or volume of each pollutant, consumption is multiplied by an emissions factor for each fuel (natural gas, electricity, fuel oil, diesel, or coal). In future versions, users will be able to schedule how the emissions factors by time of day, month, season and year. For electricity, the mix of generation fuel sources—whether utility, state or regional—is used to adjust the emission factors. If a user has emissions factors specific to the building site and equipment, these can be entered directly. There are no default emissions factors.
Types of Pollutants[LINK]
EPA categorizes pollutants as either Criteria Pollutants or Hazardous Pollutants. Criteria pollutants are the six substances for which EPA has set health-based standards, including carbon monoxide (CO), nitrogen oxides (NOx), sulfur dioxide (SO2), and particulate matter (PM10 and PM2.5), ozone (O3), and lead (Pb). Because ozone is created in atmospheric photochemical reactions of volatile organic compounds, ammonia, and other substances rather than direct building-related energy emissions, we do not calculated ozone emissions in EnergyPlus. But we do include ozone precursors: methane (CH4), non-methane volatile organic compounds (NMVOC), and ammonia (NH3). Hazardous pollutants are substances that are known or suspected to cause serious health problems such as cancer. We include typical hazardous substances associated with energy production and use including lead (Pb) and mercury (Hg). We also include CO2 (carbon dioxide) since it is largest greenhouse gas in terms of impact.
Figure 341. Example Annual Atmospheric Pollutants and Water Consumption
Figure 342. Example Annual Total Carbon Equivalent for Major Greenhouse Gases
Carbon Equivalent[LINK]
The Intergovernmental Panel on Climate Change has studied the effects on the relative radiative forcing effects of various greenhouse gases. This effect, called Global Warming Potential (GWP), is described in terms of the Carbon Equivalent of a particular greenhouse gas. This equivalent is based on a factor of 1.0 for carbon. This group of gases includes carbon dioxide (CO2), carbon monoxide, nitrous oxide, methane, halocarbon emission, hydrofluorocarbons (HFC), perfluorocarbons (PFC), and chlorofluorocarbons (CFC). For building energy use, the main gases of concern are carbon dioxide, carbon monoxide, methane, and nitrous oxide. Although carbon monoxide has a relatively short life, CO emissions into the atmosphere may have a significant impact on climate forcing due to chemical impact on CH4 lifetime, and tropospheric O3 and CO2 photochemical production normally reacts to produce carbon dioxide, but it can’t be ignored since it is produced in incomplete combustion and the carbon remains to interact as CO2. Yet there is no agreement on its carbon equivalent (IPCC 2001). The carbon equivalent of carbon dioxide, methane, and nitrous oxide are calculated and then multiplied by their GWP on a 100 year time frame. The Carbon Equivalents of the following gases have been determined and used in the program are shown in the following table.
Table 93. Carbon Equivalents (IPCC 2001)The resulting carbon equivalents by fuel type are shown in the output of the program along with the individual gas pollutants.
Fossil Fuel Emissions Factors[LINK]
Emission factors for on-site fossil fuel consumption are based on Section 1.4 Natural Gas Combustion in EPA (1998a) Table 94 shows the greenhouse gas and precursors and criteria pollutant emissions factors for natural gas. Similar emissions factors are shown for residual fuel oil (No. 4 and No. 6 fuel oil) [Table 95], distillates (No. 1 and No. 2 fuel oil) [Table 96], residential oil furnace [Table 97], LPG (butane and propane) [Table 98], gasoline and diesel [Table 99], and coal [Table 100] in the indicated tables. Note that a zero for a pollutant in the table may mean that no data were available, not that there are no emissions of that pollutant.
Table 94. Emission Factors for Natural GasOff-Site Electricity Generation Emissions[LINK]
While estimating emissions from on-site fossil fuel combustion can be fairly straight-forward, emissions from off-site electricity is more challenging. How the electricity is generated, i.e., from gas, oil, coal, nuclear, renewable sources (wind, PV) or hydroelectric, and the mix of generation determines the resulting level of emissions. While data are available at utility and even power plant level (from the sources cited), data are shown here for United States national- and state-level average emissions from electricity generation. Table 101 provides average greenhouse gas and precursors and criteria pollutant emissions factors for the entire United States from electricity generation. Table 102 provides average electricity emissions factors by state, for greenhouse gas and precursors, and Table 103 for criteria pollutant emission factors. These two tables also include a ratio of heat input to electric output (efficiency of electricity generation) including distribution and transmission losses to allow calculation of source energy.
As mentioned in the introduction to this section, EnergyPlus also calculates water consumed through evaporation in thermo-electric and hydro-electric generation. Torcellini, Long, and Judkoff (2004) provide data on average water consumption by generator type by state. These data are summarized in units suitable for EnergyPlus in Table 101, for national and state average water consumption for thermal-electric, hydro-electric, and Table 102 for weighted total electricity generation.
Table 101. United States National Average Emission Factors for Electricity GenerationOther Energy-Related Pollutants and Sources of Other Information[LINK]
EnergyPlus (with user entered-data) will also calculate high- and low-level nuclear waste from electricity generation. Few utilities now provide data on nuclear waste resulting from electricity generation and no US national or state-level data are yet available (this will be added as data become available). Two Illinois utilities regularly report nuclear waste in terms of pounds per kWh or MWh for high-level waste and cubic feet per kWh or MWh for low-level waste. For these two utilities, high level nuclear waste values range from 0.0042 to 0.01 lb/MWh (7000 to 16000 g/MJ); low-level nuclear waste ranges from 0.0001 to 0.0002 ft3/MWh (0.01 to 0.02 m3/MJ) depending on relative proportion of nuclear as compared with other electricity generation sources.
IEA (2003) contains carbon dioxide (CO2) emissions factors for electricity generation by country and region. Carbon dioxide (CO2) is responsible for over 60% of the anthropogenic greenhouse effect (UNEP 2002). Because only limited greenhouse gas emissions factors and data (other than CO2) is available for other countries, an interim method for estimating emission factors would be to compare the CO2 emission factor for the particular country from IEA (2003) and match it to the state with the closest CO2 emission factor in Table 102—using the other emissions factors for that state. Since the Kyoto Protocol (UNFCCC 1997) requires each country to report emissions of the major greenhouse gases [carbon dioxide (CO2), methane (CH4), and nitrous oxide (N2O)] as well as ozone-depleting substances [hydrofluorocarbons (HFC), perfluorocarbons (PFC), and sulphur hexafluoride (SF6)] and all energy consumption in their annual ‘national communication’, more complete emission factors for a larger number of countries should become available over the next few years. More information and other resources for calculating emissions factors are available in IPCC (2000, 1997).
References[LINK]
Crawley, Drury B. 2003. “Impact of Climate Change on Buildings,” in Proceedings of the CIBSE/ASHRAE International Conference 2003, September 2003, Edinburgh, Scotland. London, England: CIBSE.
Intergovernmental Panel on Climate Change. 2001. Climate Change 2001: The Scientific Basis. Cambridge: Cambridge University Press.
Intergovernmental Panel on Climate Change. 2000. Good Practice Guidance and Uncertainty Management in National Greenhouse Gas Inventories, Paris, France: IPCC/OECD/IEA.
Intergovernmental Panel on Climate Change. 1997. Revised 1996 IPCC Guidelines for National Greenhouse Gas Inventories, J.T. Houghton, L.G. Meira Filho, B. Lim, K. Treanton, I. Mamaty, Y. Bonduki, D.J. Griggs and B.A. Callender (editors). Paris, France: IPCC/OECD/IEA.
International Energy Agency. 2003. CO2 Emissions from Fuel Combustion 1971-2001 (2003) – 2003 Edition. Paris, France: IEA.
Liesen, Richard J. 1997. Atmospheric Pollution Prediction in a Building Energy Simulation Program, April 1997, BLAST Support Office, Department of Mechanical Engineering. Champaign, Illinois: University of Illinois.
Stroot, Peter J., Robert J. Nemeth, & Donald F. Fournier. 1996. Pollution Reduction Through Energy Conservation, REEP Model. Champaign, Illinois: U S Army Construction Engineering Research Laboratory.
Torcellini Paul A, Nicholas Long, and Ronald D. Judkoff. 2004. “Consumptive Water Use for U.S. Power Production,” in ASHRAE Transactions, Volume 110, Part 1. Atlanta, Georgia: ASHRAE.
United Nations Environment Programme. 2002. Climate Change Information Kit. Châtelaine, Switzerland: UNEP.
United Nations Framework Convention on Climate Change. 1997. Kyoto Protocol to the United Nations Framework Convention on Climate Change. Bonn, Germany: UNFCCC.
U.S. Department of Energy. 2004. Monthly Energy Review. Washington, DC: Energy Information Administration, U S Department of Energy.
U.S. Department of Energy. 2002. Updated State-level Greenhouse Gas Emission Coefficients for Electricity Generation 1998-2000. April 2002, Energy Information Administration, Office of Integrated Analysis and Forecasting, Energy Information Administration. Washington, DC: U.S. Department of Energy.
U.S. Environmental Protection Agency. 2003a. eGRID Emissions and Generation Resource Integrated Database, May 2003, Washington, DC: U.S. Environmental Protection Agency.
U.S. Environmental Protection Agency. 2003b. AirData, Tier Emissions Report - Criteria Air Pollutants, 1999 data, May 2003. Washington, DC: U.S. Environmental Protection Agency.
U.S. Environmental Protection Agency. 1998a. Compilation of Air Pollutant Emission Factors, AP-42, Fifth Edition, Volume I: Stationary Point and Area Sources, Chapter 1 External Combustion Sources, Supplement D, July 1998. Research Triangle Park, North Carolina: U. S. Environmental Protection Agency.
U.S. Environmental Protection Agency. 1998b. Compilation of Air Pollutant Emission Factors, AP-42, Fifth Edition, Volume I: Stationary Point and Area Sources, Chapter 1 External Combustion Sources, Supplement E, September 1998. Research Triangle Park, North Carolina: U. S. Environmental Protection Agency.
U.S. Environmental Protection Agency. 1996. Compilation of Air Pollutant Emission Factors, AP-42, Fifth Edition, Volume I: Stationary Point and Area Sources, Chapter 1 External Combustion Sources, Supplement B, October 1996. Research Triangle Park, North Carolina: U. S. Environmental Protection Agency.
Documentation content copyright © 1996-2015 The Board of Trustees of the University of Illinois and the Regents of the University of California through the Ernest Orlando Lawrence Berkeley National Laboratory. All rights reserved. EnergyPlus is a trademark of the US Department of Energy.
This documentation is made available under the EnergyPlus Open Source License v1.0.