🔌✨ New article out in Nature Reviews Clean Technology! I discuss how Bayesian Networks can improve Environmental Impact Assessments (EIAs) for clean energy projects, supporting better decisions.
Read here: rdcu.be/eebrc
#BayesianNetworks #CleanEnergy #EIAs #CausalInference #OpenScience

GitHub - amirgazar/Environmental-Impact-Assessment: performs Bayesian inference modeling to scope environmental impact assessments in sociotechnical energy systems performs Bayesian inference modeling to scope environmental impact assessments in sociotechnical energy systems - amirgazar/Environmental-Impact-Assessment

🔌💡New energy paper!
Environmental Research: Infrastructure and Sustainability: bit.ly/causalenergy

Code and comprehensive instructions for replication: bit.ly/causalenergy...

I must thank my mentors, Dr. Borsuk (Duke) and Dr. Calder (VirginiaTech @rycalder.bsky.social)

#EnergySky #EnergyTwitter

Article DOI: doi.org/10.1088/2634...

Causal inference to scope environmental impact assessment of renewable energy projects and test competing mental models of decarbonization - IOPscienceSearch Causal inference to scope environmental impact assessment of renewable energy projects and test competing mental models of decarbonization, Amir M Gazar, Mark E Borsuk, Ryan S D Calder

Chekout full study here: iopscience.iop.org/article/10.1...

Yes pls!

Can you please add me too?!

More broadly, causal inference methodologies can improve precision of estimates of "Scope 2" (second-order) greenhouse gas emissions and life cycle assessments.

Gazar et al. find little support for the stimulating effect of new infrastructure per se but highlight the importance of open-source tools to model the effects of novel long-term power purchase agreements.

This work evaluates transborder transmission lines, which have been speculated to stimulate new hydropower development in Canada.

Gazar et al. demonstrate the power of formal causal inference methodologies to scope and build consensus for the range of impacts mediated by social/economic processes which are not easily modeled mechanistically (e.g., by currently available capacity expansion models).

Renewable energy projects are often stalled by disagreements over the appropriate extent of environmental impact assessment (EIA). In a new paper, Calder lab PhD student Amir Gazar recasts these conflicts as disputed causal models.

GitHub - amirgazar/Environmental-Impact-Assessment: performs Bayesian inference modeling to scope environmental impact assessments in sociotechnical energy systems performs Bayesian inference modeling to scope environmental impact assessments in sociotechnical energy systems - amirgazar/Environmental-Impact-Assessment

🔌💡New energy paper!
Environmental Research: Infrastructure and Sustainability: bit.ly/causalenergy

Code and comprehensive instructions for replication: bit.ly/causalenergy...

I must thank my mentors, Dr. Borsuk (Duke) and Dr. Calder (VirginiaTech @rycalder.bsky.social)

#EnergySky #EnergyTwitter

Hey y'all. If you're a new Energy Twitter ex pat, please follow the #EnergySky feed here bsky.app/profile/did:...

And tag your posts with either the feed name or the emoji pair 🔌💡 and your post will show up in the feed.

Please repost...

Here's a starter pack for electric grid & power systems - lmk if you want me to add your account! (Omissions 100% unintentional, still finding folks here :-) 🔌💡
go.bsky.app/RwCBCab

Awesome idea, please add me too thank you!