Sample Battery Storage Project
Project Information
Power Capacity @POI (MW): 10.33
BESS Duration (HR): 2.29
Dataset: Sample data for one day
Year: 2023
Location:
ISO: PJM
Data Overview
Metered Electricity Overview
The graphs below shows the metered energy for this battery. The sample data was extended to cover the entire year.
Marginal Emissions
Locational Marginal Emissions (LME) data shows a bimodal distribution with periods of low LME values. These are hours when renewables are on the margin due to curtailment.
By combining the generation and emissions datasets, we can calculate hourly avoided emissions.
Charging Analytics
The battery operator must neutralize the induced emissions and power consumption from the grid. Below is the sum of energy and emissions for each hour.
Power Emissions Proof (PEP)
Once the operator retires the required PECs to match hourly consumption and induced carbon emissions, a Power Emissions Proof (PEP) is created. This PEP is embedded in all issued PECs for this battery asset during this audit period.
Discharge Analytics
Now that the charging impact has been neutralized and documented, the methodology is applied to the discharge activity to issue PECs.
REC Split
Since each hour does not end with an even number of energy produced, PECs are issued with split REC_IDs for accuracy.
The charts below show how the split REC_ID across two hours sums to 1 MWh.
PEC Issuance
Since all charging activity is neutralized along with a published PEP, all discharged energy can be used to create PECs. This process is the same as renewable generation except there is no directly issued RECs.
Conclusion
For carbon arbitrage, the registry shifts activity from low-demand hours and low-impact PECs to periods of high-demand hours and high-impact PECs. The results is a clear way for a battery operator to monetize this activity along with a direct use of PECs in corporate carbon accounting.
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