Francis Li (@fgnli) profile picture

There's no BAU pathway on a dead planet

New York, NY
Joined January 2017
Photo by Francis Li (@fgnli)Photo by Francis Li (@fgnli)Photo by Francis Li (@fgnli)Photo by Francis Li (@fgnli)Photo by Francis Li (@fgnli)Photo by Francis Li (@fgnli)Photo by Francis Li (@fgnli)
Update to the netzerosteel.org project - we've added country factsheets for the these nations at netzerosteel.org/publication… @IDDRI_English @mehansbrough @riamatic @sstiebert @fgnli #COP26 All published results are for our medium demand scenario - low & high avail on request.
🧵To all and sundry, I'm very happy to announce the technical and policy results for netzerosteel.org are live! Starting with a global DB of steel facilities by @GlobalEnergyMon (🙏), we have produced nine separate net-zero scenarios for all steel producing regions 1/n
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But seriously, this is the transformative demand pull needed to reset “best available technology” in the 2020s for steel & cement, such that all new production is clean in the 2030s. H/t @KWitecka cc @rebeccawdell @JaneAFlegal @TomasWyns @KhandekarGauri @valenvogl @dr_olsson 👏👏
Govts of UK, India, Germany & Canada, under new Industrial Deep Decarbonization Initiative, announce a pledge that sends a clear message to heavy industry – “If you make low-carbon steel and concrete, we’ll buy it”. tinyurl.com/6wdttekc
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Some of the best and most long term transformative news out of #COP26 @dan_rosenbloom
Decarbonizing heavy industry is essential to secure a climate-safe future for humanity. At #COP26 a group of countries announced their intention to help create a transparent global market for low-carbon industrial materials, starting w/ steel & cement. unido.org/news/worlds-larges…
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Seriously, I’m proud of this “Net-zero steel is possible,but it means that by the end of this decade all new & retrofit facilities globally must be clean” As they say, “That’s it, that’s the tweet”. netzerosteel.org/
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Replying to @bataille_chris @IEA
This is still my favourite visual
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🧵To all and sundry, I'm very happy to announce the technical and policy results for netzerosteel.org are live! Starting with a global DB of steel facilities by @GlobalEnergyMon (🙏), we have produced nine separate net-zero scenarios for all steel producing regions 1/n
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#Hydropower is expected to play a major role in achieving #Ecuador's #NDC, however key uncertainties threaten its potential. In their new paper, Pablo Carvajal and Francis Li @fgnli explore Ecuador #power scenarios to 2050 bit.ly/2ElpN0z @UCL_Energy
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There are at least two ways to escape from model-land - do you know what they are? economics-ejournal.org/econo… @CATS_LSE @RebuildMacro @CRUISSE_RCUK @david_tuckett @angusarmstrong8
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We can be open to exposing the limits/weaknesses of our models, in order to preserve the credibility of science in decision-making. Overselling how informative today’s models are increases the risk that tomorrow’s (better) models are ignored. #science2inform #climatescienceday – at Washington, DC
So, the point (of the paper) is that we need frameworks of inference, science and decision support based on those imperfect models, not a castle in the air of perfect-model statistics that are correct only in model-land and misleading in the real world :)
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If you like energy demand modelling (and who doesn't?) then this is a good, comprehensive read with many sound suggestions for future modelling endeavours
The latest paper from the @DrRobertGross and the @UKERCHQ team looks at looks at how the energy models used to inform UK government policy represent demand-side energy policies. ukerc.ac.uk/publications/mod…
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New paper by @fgnli, @st_pye, @bataille_chris assesses the utility of big data in energy modeling. I look forward to reading it.
New Paper: Prospects for energy economy modelling with big data: Hype, eliminating blind spots, or revolutionising the state of the art? authors.elsevier.com/a/1YY0x…
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New Paper: Prospects for energy economy modelling with big data: Hype, eliminating blind spots, or revolutionising the state of the art? authors.elsevier.com/a/1YY0x…
Energy modellers; so what do we do with energy data abundance instead of scarcity? Co-authored w/ @fgnli @st_pye & A.O’Sullivan “Prospects for energy economy modelling with big data: Hype, eliminating blind spots, or revolutionising the state of the art?“ authors.elsevier.com/c/1YY0x…
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New Paper: Large hydropower, decarbonisation and climate change uncertainty: Modelling power sector pathways for Ecuador authors.elsevier.com/sd/arti…
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New Paper: Take me to your leader: Using socio-technical energy transitions (STET) modelling to explore the role of actors in decarbonisation pathways authors.elsevier.com/a/1YPXP…
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Replying to @fgnli
New review paper on #OpenSource #Energy #Models: "The result shows that available open source tools such as Switch, TEMOA, OSeMOSYS, and pyPSA are mature enough based on a function comparison with commercial or proprietary tools for serious use." sciencedirect.com/science/ar…
Look in the mirror this morning and ask yourself - “Does my energy system model include future passenger travel demand from flying taxis?” bloomberg.com/news/articles/…
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