From: Schuiling, R.D. (Olaf)
Sent: woensdag 1 juni 2016 9:41
To: 'andrew.lock...@gmail.com'
Subject: RE: [geo] 6 key lessons to inform negative emissions technology 
innovation

Why is everybody always insisting on new ”technologies”. The natural process of 
weathering can be upgraded easily and in a cost –effective way to provide the 
best solution to capture in a safe and sustainable way the required amounts of 
CO2. R.D.Schuiling

From: geoengineering@googlegroups.com<mailto:geoengineering@googlegroups.com> 
[mailto:geoengineering@googlegroups.com] On Behalf Of Andrew Lockley
Sent: dinsdag 31 mei 2016 17:19
To: geoengineering
Subject: [geo] 6 key lessons to inform negative emissions technology innovation


http://www.centerforcarbonremoval.org/blog-posts/2016/5/28/greg-nemet-6-lessons-for-net-innovation?utm_content=buffer272be&utm_medium=social&utm_source=twitter.com&utm_campaign=buffer

May 31, 2016

Guest Post: Gregory Nemet shares 6 key lessons to inform negative emissions 
technology innovation

Noah Deich

General CDR, Policy,Technology / Innovation

Gregory Nemet, an Associate Professor at the University of Wisconsin–Madison in 
the La Follette School of Public Affairs and the Nelson Institute's Center for 
Sustainability and the Global Environment, writes in this post about how the 
history of other technological innovations can inform our expectations and 
policy around the development and deployment of carbon removal solutions.

Meeting the ambitious climate change targets agreed upon in Paris last December 
will require deep transformation of the global economy—especially in energy 
systems, transportation systems, and industry—over the next several decades.  
It is becoming increasingly clear that such a transition will almost certainly 
require substantial deployment of negative emissions technologies (NETs) during 
the course of the 21st century.

“It is becoming increasingly clear that such a transition will almost certainly 
require substantial deployment of negative emissions technologies (NETs) during 
the course of the 21st century.

One way to look at this challenge is through the lens of integrated assessment 
models (IAMs), which are optimization models that minimize the costs of 
reaching climate targets over the long term.  Even though they have so far 
included only a subset of potential NETs, these models deploy 5 to 20 
gigatonnes (GT = 1 billion tonnes) of CO2 removal per year (global CO2 
emissions are around 40GT per year today) in scenarios that correspond to the 
Paris targets (e.g. limiting warming to +2C degrees).  Deployment of NETs will 
surely increase as these models start to develop ways to achieve +1.5C degree 
targets, as the IPCC has been asked to report on.

Integrated assessment modeling from the Global Carbon Project shows negative 
emissions prevalent across climate scenarios.

A less black box way to understand the challenge is through carbon budgeting.  
Meeting those targets allows the world to emit about 1000 more gigatons of 
CO2—at current rates we’d reach that limit around 2040 and we’d have to be at 
zero from then on.  The budget for +1.5C degrees, which also was included in a 
more aspirational way in the Paris Agreement, would mean getting to zero in the 
2020s if emissions were to stay constant until then.  More realistic scenarios 
include a peak reasonably soon and then smooth decarbonization thereafter.  But 
the math of +2C degrees, means that peak has to occur very soon and the 
decarbonization must be rapid, not gradual.

If we want a more gradual transition, we need to start thinking about a warmer 
world than +2C or think seriously about negative emissions.  Many possible ways 
have been proposed to remove CO2 from the atmosphere.  I found at least six in 
which peer reviewed journal articles have included estimates of potentials of 
at least 1 gigawatt of CO2 removal per year.  Some have potentials of 10 
GT/year or more.

BECCS: bioenergy with carbon capture and storage, DAC: direct air capture, EW: 
enhanced weatherization, AR: afforestation and reforestation

It would be a mistake to interpret this comparison as saying that our capacity 
for removal exceeds our need.  These are simply estimates.  There may be 
negative interactions among them so that they do not sum.  Each has potentially 
serious questions including: competition with food, permanence of storage, 
energy consumption, cost, public acceptance, and verifiability.  All of these 
issues merit serious consideration and may limit realistic potentials.  What is 
a valid insight from this comparison is that a diverse set of possibilities 
exists.  While it is far too soon to concentrate on any of them, it is also too 
early to write off any of these methods based on their challenges.

“While it is far too soon to concentrate on any of them, it is also too early 
to write off any of these methods based on their challenges.

To turn these possibilities into options—that is technologies that we can 
deploy if we need them—we need a set of policies to accelerate innovation in 
them so that they become scalable real world technologies.  I’d suggest that 
designing such policies should start with what we know about historical case 
studies of analogous innovations and government efforts to encourage them.  
Here are a few to begin:

1. Historical case studies show that successful innovations are those 
thatcombine technological opportunity with a market opportunity.  Market 
experience is crucial; it informs new research and incremental improvements via 
learning by doing and economies of scale.

2. Research and Development (R&D) is needed, but to make these technologies 
real, look to early deployment, not scientific breakthroughs.  R&D can enable 
scale up and address challenges, such as in materials, reactions, and storage.  
But NETs are not a challenge like the Manhattan- or Apollo Projects, even if it 
shares the urgency of ending a war or landing on the moon.  The challenge of 
developing NETs is more like rural electrification, the interstate highway 
system, and the green revolution.  These involved variation, gradual scale up, 
integration with a larger technological system, and serving diverse end-users.

3. Scale up is central to the challenge and is not trivial.  Both making larger 
units and deploying many units take time and continuous improvements that learn 
from previous efforts.  There are plenty of examples of failure due to scaling 
up too big, too fast. Iteration and gradual scale up would replicate successful 
strategies in analogous technologies.

The Kemper CCS Project shows the risks of trying to scale too big too fast.

4. Expect dynamic costs and non-linear deployment.  Learning by doing and 
economies of scale bring down costs.  Deployment is likely to follow an 
S-curve; slow at first due to technical problems and risk averse adopters; and 
rapid once scale reached, dominant designs achieved, and reliability proven.  
Like many other technologies, expect adoption to be slower than expected in 
near term and faster than expected in the medium term.

Successful innovation requires rapid iteration at small scales in both R&D and 
deployment. ViaGreentech Media and Bloomberg New Energy Finance

5. Demand for NETs needs to be robust.  For those who invest in innovation in 
NETs, where do expected payoffs come from?  What if the credibility of policies 
is weak?  The long time scales involved suggest a boom and bust cycle of 
interest in addressing climate change, rather than a smooth monotonic increase 
in action.  Serving niche markets, creating co-products, and hedging across 
political jurisdictions are ways to make demand for NETs robust to policy 
volatility.

6. Public acceptance will be crucial for all NETs.  In simple terms, we know 
that public perceptions are favorable when there is familiarity, involvement in 
decision making process, and when scales involved are human rather than 
industrial.  Perceptions are unfavorable when deployment is rapid and adverse 
outcomes are experienced nearby.  If publics are skeptical, interim failures 
can become high profile and create insurmountable setbacks

“To turn these possibilities into options—that is technologies that we can 
deploy if we need them—we need a set of policies to accelerate innovation in 
them so that they become scalable real world technologies

A technology strategy for NETs in the near term should focus on initial 
deployment and iteration.  It should target learning, intelligent failures, and 
improvement.  The quantity of CO2 stored, efficiency, and cost are secondary; 
they are progress indicators, not program objectives.  Later is the time for 
de-risking the technology and targeting cost reductions.  Look for places where 
many small units are deployed in real world conditions, rather than a few large 
installations…even if some units must be large eventually.

NETs are only viable as a defense against rapid climatic changes if many units 
are deployed at small scale before they are needed.  Without this experience, 
rapid scale up from lab scale to address an emergency are likely to generate: 
large technical failures, public opposition, and lock-in to problematic 
designs. NETs only have “option value” once they have been deployed at a small 
but substantial level.  In short, an innovation strategy for NETs that learns 
from the past would include:

BuildFailRecordImproveRepeat…many times, with a diverse set of approaches, at 
incrementally larger scale, and in increasingly realistic conditions.

Gregory Nemet is an Associate Professor at the University of Wisconsin–Madison 
in the La Follette School of Public Affairs and the Nelson Institute's Center 
for Sustainability and the Global Environment. He is also chair of the Energy 
Analysis and Policy certificate program

His research and teaching focus on improving analysis of the global energy 
system and, more generally, on understanding how to expand access to energy 
services while reducing environmental impacts. He teaches courses in energy 
systems analysis, governance of global energy problems, and international 
environmental policy
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