Time Shifting
Collect Meter Data
A battery had the following activity derived from hourly meter data.
Injected discharging energy (MWh)
4,250
Round-trip efficiency
85%
Assess the Impact of Charging Activity
Using the GRF emissions source hierarchy, REsurety was chosen as the emissions data provider.
Hours of charging
Volume of Energy (MWh)
1
0
0
2
0
0
3
0
0
4
0
0
5
0
0
6
200
0.15
30
7
1000
0.25
250
8
2000
0.2
400
9
1100
0.1
110
10
700
0.3
210
11
0
0
12
0
0
13
0
0
14
0
0
15
0
0
16
0
0
17
0
0
18
0
0
19
0
0
20
0
0
21
0
0
22
0
0
23
0
0
24
0
0
Total charging carbon impact (tCO2)
1,000
Consumed charging energy (MWh)
5,000
Neutralize Charging Impact (Hourly-Matching)
GCs are retired to match hours of charging and sourced from the same balance authority, complying with the EnergyTag Standard.
Retired GC Average MER (tCO2/MWh)
0.18
Percent hourly-matched
100%
Carbon Impact of Retired GCs (tCO2)
-900
Remaining charging carbon impact (tCO2)
1,000 – 900 = 100
Percent emissions-matched
90%
Submit Project Data for Verification and GC Issuance
The GC registry verifies the meter data, emissions data, and retired GCs. Upon completion, a GC Matching Report will be created along with the issued GCs.
Gross discharge carbon impact (tCO2)
4,250 * 0.45 = -1,912.5
Adjusted discharge carbon impact (tCO2)
-1,912.5 + 100 = -1,812.5
Issued GCs
4,250
Issued GC Average MER (tCO2/MWh)
0.43
Contract Settlement
Settling the GC agreement using a predetermined carbon price.
Retired GC Cost
-$90,000
Net Profit
$91,250
Carbon Accounting
This battery has converted 5,000 low-impact GCs into 4,250 high-impact GCs by shifting the hours of CFE generation. Adding a ‘virtual hybrid’ to low-impact PPAs will fill gaps in 24/7 PPAs.
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