Arvind P. Ravikumar Profile picture
Co-Director, Energy Emissions Modeling and Data Lab (EEMDL), Prof @UTAustin @UT_PGE studying energy systems and carbon accounting across energy supply chains.

Nov 18, 2022, 14 tweets

Let's get into one of the most far reaching pieces of regulatory action from @EPA. 3 areas stand out:

1) Comprehensive - every possible #methane source is covered, no loopholes
2) Embraces tech innovation even under uncertainty
3) Acknowledges & corrects for EPA blind spots
🧵

All O&G #methane sources are covered, including low producing sites & often owned by small, independent companies. Research has show these type of sites can be a significant source of emission, and until recently, was exempted from all regs.

Not anymore. nature.com/articles/s4146…

Changing definitions: This may be in the weeds but a huge shift in accounting for #methane. Policy stringency now depends on physical number of equipment on facilities and not arbitrary baseline emissions.

This significantly improves policy effectiveness & compliance monitoring.

Using better models: Instead of assumptions about policy effectiveness, EPA used our FEAST model to empirically assess long-term emissions reductions.

I will publish FEAST technical guidance document by Dec 15 for stakeholders. Stay tuned. arvindravikumar.com/feast

Embrace tech innovation: EPA has develop a tech-agnostic approach using FEAST modeling to allow operators to choose whatever tech they want using a matrix approach we (+others) recommended.

This strikes the right balance between flexibility & need for assurance.

What's game-changing? EPA explicitly included super-emitters in modeling -> this is the only reason alternate techs are cost-effective.

Now,
1) Any tech can apply to be approved by EPA
2) Once approved, any operator can use that tech for compliance pubs.acs.org/doi/abs/10.102…

EPA is also allowing use of fence-line continuous emissions monitoring system (CEMS) based on flexible alarm threshold.

Many questions here since there's much uncertainty in emissions quantification using CEMS. Plus, approval criteria is a bit vague (probably intentional).

Super-emitters is where I give great credit to the EPA. These don't exist in GHG inventory.

Yet, EPA looked at overwhelming evidence & crafted a super-emitter mitigation program for emissions >100 kg/h (so big that satellites can see it). nasa.gov/feature/jpl/me…

Here's the innovation: any entity approved by EPA (researcher, tech, NGO, public) can notify EPA & operator if they find superemitter. Once notified, operator must fix it.

EPA also has mechanism for operator to get approved entity delisted for false alarms. So, stick + carrot.

Finally, flaring! Here again, EPA is requiring no routine flaring, plus continuous monitoring of the flame to ensure it does not go out. Huge impact in terms of emissions reductions!

I believe this is one of the most far-reaching & innovative proposal to address #methane emissions.

The top-line 87% emissions reduction is not only achievable but can be exceeded, especially with the super-emitter & flare reduction program!

Bravo!

epa.gov/controlling-ai…

Two issues I did not cover here.

First, @jasonfurman provides a good overview of the updated Social Cost of Carbon (and methane) estimate EPA used in developing cost-benefit analyses for the #methane rule.

Second issue:

#Methane fee provides important backstop to EPA regulations. Operators are exempt from fee if they comply with EPA regs & demonstrate equivalent emissions reductions. EPA is actively soliciting comments how this equivalency will be determined.

More on this later.

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