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- Dan Bilello
- International and Environmental Studies Group
- National Renewable Energy Laboratory
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- Overview of GHG calculation process and methodologies
- Provide practical tips with a few examples
- Provide useful references and resources
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- Measuring is first step in managing
- Focus on your primary (most significant) emission sources
- GHG management lends itself to staff
- awareness (cost savings,
energy
- savings, and environmental
benefits)
- EE before RE
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- Most common emission sources at the facility level
- CO2 (purchased and on-site power generation, transport)
- CH4 (landfill and waste)
- N2O (transport, fertilizer)
- SF6 (tracer gas, industry specific processes)
- HFCs (refrigerants)
- PFCs (refrigerants, industrial processes)
- Global Warming Potential (GWP) and CO2 Equivalance
- CO2 (1); CH4 (23); N2O (296); SF6 (22,200); HFCs (120-12,000); PFCs
(5,700-11,900)
- Black and Organic Carbon
- Air Quality: SO2, NOx, HG, PM
- Regular updates through the EPA and the IPCC
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- E = A x EF
- where:
- * E = emissions
- * A = activity rate
- * EF = emission factor
- as they say…the devil is in the details!
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- National Averages (1363lb CO2/MWh, 5.4lb SO2, 1.7-2.1lb NOx)
- Used for federal level assessments and modeling
- Sub-region Averages (AZNM WECC Southwest 1254lb CO2/MWh)
- Based on regional generation and transmission data, used by EPA Climate
Leaders and other regional programs
- State Averages (1218lb CO2/MWh in AZ)
- Derived from generation data and fuel mix that is State specific
- Range from 700-3,600 lb CO2/MWh nationally)
- Facility Specific
- Direct emissions from on-site power
- generation and fuel
combustion
- Higher level of complexity
- Fuel type, time of day
- Equipment efficiency and maintenance
- Technology used
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- Identify your emission sources and data gaps (including key
contacts…facility managers, finance office for billing records, fleet
managers, procurement office)
- Determine emission factors to use (guidance from relevant program)
- Establish your baseline (year, which facilities, any sources to exclude,
assumptions)
- Identify opportunities for mitigation (projections in growth help here)
and anticipated emission reductions
- Implement your mitigation plan
- Monitor, measure, report, and evaluate
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- Owned versus leased facilities
- Up-stream or down-stream emissions
- Embedded energy in capital investments
- Waste generation and management
- Water use
- Vehicle Fleet
- Staff travel (road and air)
- Off-site projects and/or offset purchases (including land-use, land use
change, and forestry)
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- Quality of data (metered, bills, estimates, projections, historical)
- Accuracy of emission factors
- Consistency of reporting (same units?)
- Consistency in data management
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- Technology performance (e.g., on-site renewables monitoring is important
in high penetration scenarios, actual impact of an energy efficiency
measure)
- Time of use (e.g., baseload coal or peak gas?)
- Off-site (or out of State, out of country?) emission offsets and their
emission factors
- Additionality (what would have otherwise occurred?)
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- Generally measured in units of X lbs or kgs per kWh (electricity) or lbs
or BTUs (steam)
- Data generally derived from utility bills but if you do not have site
well metered, assumptions may be needed
- Data can vary significantly for kWh based emission factors depending on
region and generation
- Quality of data is generally good nationally but factors like T&D
losses and baseload versus peak generation not always very transparent
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- Two-fold challenge:
- 1) Identify what your
replacing:
- Meeting a new load? - (What would BAU look like?)
- Fuel switching to a cleaner source (e.g., biomass gasifier in place of
natural gas fired boiler)?
- Offsetting purchased power (kWh reduction)
- 2) Measure and monitor EE or RE performance
- Is my technology performing as expected?
- http://www.azclimatechange.gov/docs.html
- Is my technology individually metered so I can calculate its energy
production and the related emission reductions?
- Data variations by source depending on the technology, the fuel,system
efficiency, operation, maintenance, etc.
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- Mobile sources contribute to CO2, CH4, and N20
- Small contribution for CH4 and N2O but up to 5% of total in gasoline
and alternative fuel vehicles depending in large part on the emissions
control equipment
- Maintenance and operation is a major factor
- Key data include fuel used, miles traveled, and vehicle type
- CO2 derived from carbon content in the specific fuel, the fuel density,
and fraction of carbon oxidized for each fuel. For example for gasoline:
- Carbon Content Fraction Oxidized
CO2/C ratio Emission
Factor
- 2.42 kgC/gallon 99% (44/12) 8.79 kgCO2/gallon
- EPA and other sources provide top down derived emission factors for CH4
an N20 based on fuel type and vehicle (Inventory of U.S. GHG Emissions
and Sinks)
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- Scenario: Implement plan for facility wide incorporation of more
efficient lighting replacing 1000 units of 75w incandescent light bulbs
with 27w CFL lamps.
- Assume:
- 10 hours of use daily (no change in use)
- Emissions calculated on an annual basis
- Investment in higher upfront cost EE measures would not have otherwise
occurred
- Using eGRID average emission factor for Arizona
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- Emissions Impact:
- 365 days x 10 hrs/day = 3650 hours per year
- 3650 hours x 48w (watt savings/lamp/hr) = 175,200 Wh/year
- 175,200 / 1000 = 175.2 kWh/year
- 175.2 kWh/year x 1000 units = 175,200 kWh saving (175 MWh)
- 175 MWh x 1,218 lb CO2/MWh = 213,150 lbs of CO2
- 213,150 lb CO2 / 2,205 = 96 metric tons of CO2
- Questions to ask:
- Were the expected reductions realized and could we monitor that this
investment was the actual source of reductions?
- Coupled with a staff awareness plan for EE or building design
incorporating daylighting, what would relative impact be?
- What if we also purchase greentags from the utility, should reflect
these cleaner kWh in our calculations?
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- Scenario: Install 100kW of roof top photovoltaics (PV) to meet part of
our power needs on-site. Grid
tied system but anticipate using all of PV generated power.
- Assume:
- System performs at stated capacity
- Annual average of 6 hours of energy production per day
- No performance degradation in initial years of installation
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- Emissions Impact:
- 365 days/year x 6 hours of power production/day = 2190 hours
- 2190 hours x 100kW = 219,000 kWh/year produced
- 219 MWh x 1,218 lb CO2/MWh = 266,742 lbs of CO2
- 266,742 lb CO2 / 2,205 = 120 metric tons of CO2
- Questions to ask:
- Did we meter the PV to confirm actual KWh produced?
- Did we offset indirect electricity purchases or did the captive power
needs offset other sources of energy that would have been used
(efficient natural gas boilers or less efficient diesel gensets)?
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- Emission Factors:
- EPA EGRID: www.epa.gov/cleanenergy/egrid/index.htm
- EPA AP42: www.epa.gov/ttn/chief/ap42/index.html
- DOE EIA: www.eia.doe.gov/oiaf/1605/factors.html
- IPCC: www.ipcc.ch
- Methodologies:
- Arizona CC Action Plan: http://www.azclimatechange.gov/docs.html
- WRI GHG Protocol: www.ghgprotocol.org
- EPA Climate Leaders: www.epa.gov/stateply/
- Conversion Tables:
- EPA: www.epa.gov/nonco2/units.html
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- Relevant Programs and On-Line Resources:
- Arizona Climate Program: www.azclimatechange.gov/
- WRI GHG Protocol: www.ghgprotocol.org
- EPA Climate Leaders: www.epa.gov/stateply/
- United Nations Framework Convention on Climate Change: www.unfccc.int
- WRI’s Climate Analysis Indicators Tool: http://cait.wri.org/
- GREET Model (transportation):
www.transportation.anl.gov/software/GREET/index/html
- Energy Information Agency:
www.eia.doe.gov
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- Dan Bilello
- International and Environmental Studies Group
- National Renewable Energy Laboratory
- phone: (303) 384-7461
- email: dan_bilello@nrel.gov
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