2/ "As the IPCC points out, aggregate mitigation costs in IAMs generally increase when action is delayed. ... The longer mitigation is delayed, ... the more investments and/or devaluations it will therefore take to eventually bring emissions down to net zero/net negative."
3/ "The cost of mitigation is therefore not a function of continued fossil fuel use per se, but of the steepness of the mitigation curve, that is, of how quickly fossil fuel consumption needs to fall in order to reach the specified temperature target."
4/ "Including CCS in IAMs essentially decouples fossil fuel consumption from emissions, and therefore allows the former to fall more slowly relative to the latter."
5/ "Negative emissions go even further in that they actually extend the carbon budget and thus stretch out the emission reduction curve itself. The effect is to reduce the rate at which fossil fuel use needs to fall, which in turn leads to lower mitigation costs."
7/ Elmar Kriegler is also quite direct: "The value of [Carbon Dioxide Removal] lies in its flexibility to alleviate the most costly constraints on mitigating emissions." link.springer.com/article/10.100…
8/ A technology that is not known to be cheap (BE/FFCCS) & too costly to deploy now, is the technology which "alleviates the most costly constraints". Basically, it is not the cost of BE/FFCCS, per se, but other costs in the system which matter most.
9/ [I think we obsess too much about technology costs, & don't think enough about the way costs are formulated in an optimisation model, which will depend on the binding constraints]
10/ "IAMs generally use a discount rate of 5%, which means they weigh costs and benefits in the present more heavily than those that will occur in the future."
11/ "reducing the discount rate from 5% to 2% would more than double today's carbon price & more than halve the carbon budget overshoot, corresponding to a reduction of about 300 GtCO2 of net negative emissions over the century." iopscience.iop.org/article/10.108…
12/ One parameter, the discount rate, is quite critical to the outcome. But, there is very little sensitivity analysis done on the discount rate (in mitigation analysis, it is done a lot on cost-benefit analysis).
[This is *one* parameter, out of thousands]
13/ I think this is the most important section of @wim_carton's paper, as it tries to dig into why the mainstream framework of scenario analysis might lead to more CDR (& more fossil fuels). researchgate.net/publication/34…
/end
• • •
Missing some Tweet in this thread? You can try to
force a refresh
1/ "the availability of BECCS proved critical to the cost-efficiency, & indeed the theoretical possibility, of these deep mitigation scenarios, leading to systemic inclusion of BECCS in RCP2.6 scenarios" says @katedooley0, Christoff, @KA_Nicholas
2/ "The incorporation of NETs in IPCC scenarios is one clear illustration of how, as @EstherTurnhout put it, “dominant political discourses compel scientists to create assessments that work within these discourses”..." writes @wim_carton
2/ Does it make sense to include current policies or NDCs across all SSPs? Doesn't the existence of current policies or NDCs begin to preclude some SSPs?
One could use SSP2 (current socioeconomic trends) with scenarios performed with varying SPAs.
3/ This is really a challenge of the SSP/SPA/RCP framework. The three axes are essentially assumed to be independent, this makes theoretical sense but not really practice sense. I understand why that decision was made, but does it make the framework too unrealistic?
2/ The Shared Socioeconomic Pathways (SSPs) are used as input to Integrated Assessment Models (IAMs) & combined with Shared Policy Assumptions (SPAs) to get different forcing levels (RCPs) in 2100. Earth System Models use pathways generated from the IAM SSP/RCP combinations.
3/ Not all combinations are possible. That is, IAMs often cannot solve for some SSP/RCP combination:
* Only SSP5 can get to RCP8.5 in IAMs
* Many IAMs cannot get to RCP1.9 or 2.6 with SSP3, 4, 5
2. I looked into how Shell compares to mainstream scenarios in 2017.
Compared to the quantified Shared Socioeconomic Pathways (SSPs, in grey), Shell uses a lot of energy, but the CO₂ emissions are well within the range of mainstream <2°C scenarios RCP2.6.
3. As @wim_carton documents in his paper, Shell uses quite a bit of fossil fuels. A bit more coal than in the average SSP, gas a bit less, oil sort of an average with others with a long tail.
How is it possible to use so much fossil fuel & hit net-zero CO₂ emissions?
We don't need another decade building more complex models that exploit exascale computing, but one that: 1. Better understands & characterizes fundamental conceptual issues 2. Integrates multi-disciplinary knowledge & perspectives
Many presume that inadequacies of current models can be solved with more resolution, more detail, more computer.
But, fundamental questions on the inadequacies of models have note been addressed (eg model structure, initial conditions, nonlinear dynamics, etc)
2/
"Climate economists [have] spent decades attempting to provide ever-better numerical estimates of a benefit-cost ratio... Even if the ECS isn’t strictly fat-tailed, the benefit-cost ratio [is] highly sensitive to ... parameters which suffer from deep uncertainty"
3/