Estimating the carbon footprint of the GRAND Project, a multi-decade astrophysics experiment
Clarisse Aujoux, Kumiko Kotera, and Odile Blanchard (for the GRAND, Collaboration)

TL;DR
This paper estimates the annual greenhouse gas emissions of the GRAND astrophysics experiment across its different development stages, highlighting the main emission sources and potential strategies for reducing its carbon footprint.
Contribution
It provides the first transparent, open-source methodology to quantify the carbon footprint of a large-scale astrophysics experiment over multiple decades.
Findings
Digital tech and travel dominate during prototyping.
Hardware production and data transfer are major in large-scale phase.
All three sources contribute equally in the mid-scale phase.
Abstract
We present a pioneering estimate of the global yearly greenhouse gas emissions of a large-scale Astrophysics experiment over several decades: the Giant Array for Neutrino Detection (GRAND). The project aims at detecting ultra-high energy neutrinos with a 200,000 radio antenna array over 200,000\,km as of the 2030s. With a fully transparent methodology based on open source data, we calculate the emissions related to three unavoidable sources: travel, digital technologies and hardware equipment. We find that these emission sources have a different impact depending on the stages of the experiment. Digital technologies and travel prevail for the small-scale prototyping phase (GRANDProto300), whereas hardware equipment (material production and transportation) and data transfer/storage largely outweigh the other emission sources in the large-scale phase (GRAND200k). In the mid-scale phase…
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Taxonomy
TopicsOpportunistic and Delay-Tolerant Networks
