VOTE: What is the right global warming potential for Methane versus CO2 #530
Replies: 4 comments 8 replies
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"Applying the methodology in this paper to calculate the implied intertemporal values of a 20-year GWP, a timescale that has received |
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@sichen1234 thanks for kick starting this.
This vote raises an important issue regarding how tokens are issued in NET. In my view the outcome of this vote should address more than the choice of 100x vs 30x. It is about selecting a reference value that will always be applied when issuing kgCO2e tokens for CH4 emissions. As long as there is a debate/discussion on GWP (and interest rates for climate impacts), 1 kgCO2e of CH4 will never be truely fungible to 1 kgCO2 as different stakeholders may set different values. If we think about this in terms of exchange rates, if a KgCO2e CH4 token is issued with a GWP of 30x, but a party uses a rate of 100, they will inflate the token amount (3.3x). The important outcome of this vote is making sure our users, that may conform to different GWP factors, are not limited in how they use our token system. NET is designed to issue multiple token IDs and types. It would be possible to assign an GHG type - e.g., CH4 vs CO2 (or any other), to each token. By doing so, whatever reference GWP value is applied, a user can adjust (inflate/deflate) the kgCO2e emission balances when using a NET interface or contract API. They can select the GWP they choose. For my vote, a reasonable reference value should be the current standard or global consensus, i.e., the 100 year GWP. This is not an endorsement of the lower factor, i see value in using 20 years from a discount perspective and accelerating investments. It is a question of GHG identification and standardization. However, I have an alternate proposal to avoid making a potentially biased decision on conforming to a reference GWP. This could be setup as a separate vote: Assign all tokens in kg of gas emitted (or removed) applying no GWP assumption. A GHG type should be assigned to each token ID (CO2, CH4, N2O,... ) with user defining their own GWP factors. |
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This is raising a lot of great questions. @arezd You bring up a good point. I think 100-year time horizon was appropriate in the 1990's. Then it took about a decade to get a treaty (Kyoto), 20 years of ..., and 30 years later it's no longer 100 years. Furthermore, today climate goals such as SBTi are set with trajectories in mind, ie not just by 2050 but with specific goals in between, such as 50% reduction by 2030. With those shorter term targets I think we do need to focus on shorter term impacts. @hai-yr's example of the diapers is a great way to think about it. Once the baby grows up, they'll be more than able to clean up the diapers from when they were a baby. But could you wait that long with their diapers around? @brioux You're right that CH4 and CO2 are not truly fungible, and a lot of assumptions go into the time horizon. The difference between a blockchain/web3/DLT and SAAS or enterprise software is that the former is a marketplace where a lot of parties transact, whereas the latter is for a single company to use. So while we should annotate the tokens as much as possible with details, for example break down the assumptions and the emissions factors in the meta data, we still would need to have a decide on a CH4:CO2 conversion factor for the market as a whole. Think of the choice of a GWP is an "exchange rate" that the market needs to follow, and it needs to be followed on both sides. A too low CH4:CO2 exchange rate would understate the impact of methane emissions from agriculture and oil & gas production, while a too high CH4:CO2 exchange rate would overstate the value of methane reductions. This is exactly why we need a neutral DAO to set these. Otherwise couldn't you see two industries using two different conversion rates? |
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Instead of this multiplier being a constant, this multiplier can follow a term structure. A term structure is a rate (this could be the CH4:CO2 Conversion Factor CF) versus the term (1 yr, 3 yr, 5 year, 10 year, 30 yr, 100 yr, 200yr). This curve will be downward sloping polynomial (according to what I hear from previous comments). Such a term structure will take care of many of the issues pointed out in previous comments. A well known term structure model is the yield curve (that is interest rate view as of today).
Interest rates have the luxury of discovery through liquid market instruments and a secondary market. They also have rich sources (a deep and liquid market), however we do not have that yet, so the choice of oracles will be very important for this. |
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Currently in our discussions of the Methane Reductions project, we've used the EPA's multipler for methane, which is 25 times the global warming potential of CO2. This is based on the global warming potential of methane over a 100-year period.
The more recent IPCC 6th assessment raised it to about 30x over a 100-year period and more importantly to 82.5x over a 20-year period.
More recently two papers from Stanford has pointed that if we want to keep global warming to 1.5 degrees C, we need to consider the 20-year time horizon, which is the much higher value.
The goal of this vote is to determine what Glboal Warming Potential for methane we should be using in our calculations.
How It Works
This is an experiment for setting up a DAO. Right now we're not using tokens or a DAO yet but testing the processes.
Everybody is welcome to comment.
Based on the quality of your comments, you may be given points (what will one day be reputation tokens in a DAO) to vote on the proposal. So please give thoughtful comments.
Remember the goal is not winning but The Truth.
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