Metric 9: Reduction in Greenhouse Gas Emissions Attachment 1

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14-____ CUB/EDF Petition to Initiate a Proceeding to Adopt a GHG Metric
Attachment 1
Metric 9: Reduction in Greenhouse Gas Emissions
ComEd worked with CUB and EDF to develop a full and practical measure of Greenhouse Gas (GHG)
Emission reductions as enabled by smart grid investments. The parties held stakeholder workshops in
2013 to identify the best approach to achieve this measure in Illinois, including strategies for better data
collection. The following matrix represents the best estimate of calculable GHG emissions reductions
realized as a result of EIMA implementation:
A
Trends to be Tracked
Load Shifting
Formula for Tracking GHG reductions
A comprehensive approach focusing on “when” energy is used
can identify GHG emissions reductions enabled by smart grid
technology investments.
ComEd will calculate the marginal emissions changes due to load
shifting for smart meter customers versus non-smart meter
customers at an hourly level.
GHG(A) = ∑
Where
Hourly Marginal Emissions = ([Hourly Smart Meter Load/customer] –
[Hourly non-Smart Meter Load/customer]) * [Hourly Marginal
Emissions Rate] * Smart Meter customers
Hourly Marginal Emission Rate – ComEd will work with EDF to
determine the marginal emissions rate for each hour (8,760) in
the program year. For 2013, ComEd and EDF will use data
published by the PJM Market Monitor identifying the hourly
average generation mix of price-setting generation (marginal
generation), and using a standard Greenhouse Gas Emission
factor by fuel type to develop an Hourly Marginal Emission Rate
(lbs./kWh)
Smart Meter Load – ComEd will develop an average load per
customer number (kWh) for customers with smart meters for
each hour (8,760) in the program year.
Non-Smart Meter Load – ComEd will develop an average load
per customer number (kWh) for customers that do not have
smart meters for each hour (8,760) in the program year. This
number will be iterated by backing out hourly load data from
customers with interval meters from an overall hourly system
load number, accounting for line loss.
Geographic Bias – For the duration of the AMI deployment
period, ComEd may conduct random sampling of smart meter
14-____ CUB/EDF Petition to Initiate a Proceeding to Adopt a GHG Metric
Attachment 1
load and non-smart meter load to report on whether there is
any geographic bias in the data and the extent of the bias.
After Deployment – ComEd will calculate the year-to-year
marginal emissions changes due to load shifting for all smart
meter load at an hourly level:
Hourly Marginal Emissions = ([Current Year Hourly Smart Meter
Load/customer] – [Previous Year Hourly Smart Meter Load/customer])
* [Hourly Marginal Emissions Rate] * Smart Meter customers
B
Reduction in System Peak
A contribution to the reduction in peak load in PJM has direct
impacts on the system’s capacity obligations and need for
generator resources to meet that demand.
ComEd will partner with a third-party entity to conduct a
dispatch study of the impact of load shifting and peak load
reduction enabled by smart meters, including the increased
adoption of electric vehicles, on PJM’s system, and determine a
GHG metric around the resulting changes in generator dispatch
and expected plant closures.
C
Reduced Truck Rolls
ComEd will compare the aggregate annual GHG emissions of all
meter reading vehicles assigned to a specific operating center in
the year in which Smart Meters are deployed in that same
operating center, to the average aggregate annual GHG
emissions of the three years prior to the year in which Smart
Meter installation for that specific operating center is
completed. GHG emissions will be calculated by measuring fuel
consumption and converting into fuel emissions via the Climate
Registry emission factor. For the years in which Smart Meter
installations occur in multiple ComEd operating centers, the GHG
emissions impacts for the individual operating centers will be
calculated, then summed.
The resulting number will be reported as GHG(D).
The above approaches represent the best estimate of GHG reductions as enabled by Smart Grid based
on available data.
Total GHG Emissions Reductions as enabled by Smart Grid = GHG(A) + GHG(C).
GHG(B) will be considered a higher-resolution analysis of the impact and is not additive.
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