Research Scientist at @MIT @mitenergy developing new modeling tools to inform technology R&D, energy policy, and market design

Joined July 2015
2 Photos and videos
Thrilled to share our new paper just dropped in Energy Conversion and Management! doi.org/10.1016/j.enconman.2… We developed sectoral and spatial Benders decomposition methods that solve large-scale multi-sector energy planning models (electricity, transport, heating…) 15–70% faster when tested on case studies of the continental US. The approach is generic and we hope to publish an implementation in the MacroEnergy.jl code soon. Big congrats to @FedParolin, who did the heavy lifting, and the rest of the team.
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Another great paper by @FedParolin, showing how to decompose large energy system models spatially and by sector, and the significant speed-up this gives large and high-resolution models. This work will allow more models to be scaled up on large computer clusters #EnergyTwitter #EnergySystems
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Are current capacity expansion models missing crucial details for thermal storage? @taemin_heo and I are investigating how storage state-of-charge impacts charge/discharge capacities—and why non-linearities matter for #ZeroCarbon grid planning models: arxiv.org/pdf/2411.07805

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Clearly, incorporating these non-linearities increases model runtimes so we've explored the runtime-accuracy trade-off of several approximate models. It's up to each user to decide the best balance for their work but we hope this paper will help inform these decisions.
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This is ongoing work, supported by @mitenergy, and we are currently developing several linear approximations to improve runtimes even further. We'll apply these faster models to larger grid case studies.
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For anyone modelling long-duration storage in capacity expansion models, Federico Parolin - a visiting PhD student @mitenergy, has just published a new formulation which reduces runtimes by at least 30% in our tests and avoids common constraint violations
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The pre-print can be found here: arxiv.org/abs/2409.19079 We welcome feedback and thoughts

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Tagging the man himself: @FedParolin
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Ruaridh Macdonald retweeted
22 Apr 2024
The Sustainable Engineering Initiative @nyutandon has multiple postdoc openings on the topic of decarbonizing chemical manufacturing, spanning computational and experimental topics. Miguel Modestino and I are looking to hire researchers across three projects -a thread:
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DOLPHYN, our multi-sector capacity expansion model, is now a Julia package: github.com/macroenergy/Dolph… This lets you use it directly through Julia and we will continue to make it easier to use. DOLPHYN currently models H2 and electricity - using GenX as the electricity model
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This is the product of hard work by the DOLPHYN team, led by @dhariksm, @Guannan_He and myself. We will soon new sector models for CO2 storage and transport, and biofuels. Please get in touch if you have questions or would like to add more sectors for your own work.
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DOLPHYN optimizes energy system models using @HighsOpt by default. Thanks to @JuMPjl, DOLPHYN can also run with many other solvers. We do most of our testing with HiGHS and @gurobi
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Hi, I'm recruiting a postdoc to work on multisector energy models at the MIT Energy Initiative Please share with anyone you think would be interested We're looking for folks with a background in optimization. Experience of energy system modelling is a plus careers.peopleclick.com/care…

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Was very fortunate to be invited to the @MacroEnergySys workshop this week. A big thank you to all the organizers! It was great to meet and learn from so many folks in the #MacroEnergySystems community.
And that's the wrap on the 2022 #MacroEnergySystems workshop! Huge thanks to everyone for their presentations and valuable insights. We can't wait to watch our @MacroEnergySys community grow.
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Ruaridh Macdonald retweeted
Folks. We're going to need nuclear power (fission or even fusion) to decarbonize the global economy. Nations like US, Canada, Australia, China etc blessed with land can drive to net-zero with renewables only IF they so choose. But a Net-zero India? South Korea? Japan? Indonesia?
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Some promising items in the UK's new Energy Security Strategy, including support for #nuclear, but where is the analysis to support or explain these decisions? I was expecting something at least at the same level as the Net Zero Strategy or department decarbonization plans.
Ruaridh Macdonald retweeted
Fantastic panel! Some key takeaways: 1. Bridge gap b/w least cost models and real world, as we increasingly rely on them for policy 2. Best solution could be an inferior one in terms of cost, but achieve better real world solutions 3. Spatial resolution of analysis is imp
What alternative formulations of the least-cost approach should be considered to capture the complexities of the energy transition? Join us for our next exciting MES panel with @ErinNMayfield, @TimPedersen11, and @etrutnevyte, which will be moderated by @BDLeibowicz.
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