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Title    Significant Energy Use Predicted for Computers in Self-Driving Cars
Date    Thursday January 19 2023, @11:27PM
Author    hubie
Topic   
from the side-effects dept.
https://soylentnews.org/article.pl?sid=23/01/19/0352207

A SoylentNews contributor writes:

This trade magazine, https://www.autonomousvehicleinternational.com/news/adas/mit-report-forecasts-global-emissions-impact-from-autonomous-vehicle-computers.html is reporting on a new study and modeling effort--

A new study conducted by MIT researchers has found that in the future, the amount of energy required to run computers on board an international fleet of AVs could generate the same amount of greenhouse gas emissions as all the world's current data centers. The study explored the potential energy consumption and related carbon emissions if autonomous vehicles were widely adopted.

At present, the data centers that house the physical computing infrastructure used for running applications account for approximately 0.3% of global greenhouse gas emissions (GHG). As there has been little focus on the potential footprint of AVs, MIT researchers developed a statistical model to study the potential issue.

The research team calculated that one billion AVs driving for an hour each day, with each vehicle's computer using 840W, would consume enough energy to generate roughly the same number of emissions as global data centers do currently. Researchers also found that in 90% of modeled scenarios, to keep AV emissions from surpassing present day data center emissions, the vehicle would have to use under 1.2kW of computing power. To achieve this target, more efficient hardware for AVs would be required.

In one test, the team modeled a scenario in 2050 where 95% of the global fleet is made up of AVs. During this scenario, computational workloads doubled every three years and the Earth continued to decarbonize at the current rate. Upon completion of this simulation, researchers found that hardware efficiency would need to double faster than every 1.1 years to keep emissions under those levels.

"If we just keep the business-as-usual trends in decarbonization and the current rate of hardware efficiency improvements, it doesn't seem like it is going to be enough to constrain the emissions from computing on board autonomous vehicles," said first author Soumya Sudhakar, a graduate student in aeronautics and astronautics. "This has the potential to become an enormous problem. But if we get ahead of it, we could design more efficient autonomous vehicles that have a smaller carbon footprint from the start."

The source paper is here (abstract), https://ieeexplore.ieee.org/document/9942310 with the full text linked (may be behind an IEEE paywall?)

[Paper made available by MIT Open Access --hubie]


Original Submission

Links

  1. "Paper made available" - https://dspace.mit.edu/bitstream/handle/1721.1/145999/_2022__IEEE_Micro__Climate_Impact_of_Computing_Onboard_Autonomous_Vehicles_Revised_10_2022_Camera_Ready-3.pdf?sequence=1&isAllowed=y
  2. "Original Submission" - https://soylentnews.org/submit.pl?op=viewsub&subid=58215

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