research-article

Flexible Computing for Intermittent Energy

Author:

Jennifer SwitzerAuthors Info & Claims

XRDS: Crossroads, The ACM Magazine for Students, Volume 27, Issue 4

Pages 30 - 33

https://doi.org/10.1145/3466861

Published: 24 June 2021 Publication History

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Abstract

How flexible computing can help speed the adoption of inflexible renewables.

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References

[1]

Chien, A. A., Yang, F., and Zhang, C. Characterizing curtailed and uneconomic renewable power in the mid-continent independent system operator. arXiv preprint arXiv:1702.05403. 2016.

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Chien, A. A. Characterizing opportunity power in the California Independent System Operator (CAISO) in years 2015-2017. Technical Report TR-2018-07. University of Chicago, 2018.

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Radovanovic, A. Our data centers now work harder when the sun shines and wind blows. The Keyword. Google. April 22, 2020. https://blog.google/inside-google/infrastructure/data-centers-work-harder-sun-shines-wind-blows.

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Switzer, J. and Raghavan, B. Information batteries. (Under review).

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Switzer, J., McGuinness, R., Pannuto, P., Porter, G., Schulman, A., and Raghavan, B. Terrawatt: Sustaining sustainable computing of containers in containers. 2021.

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Index Terms

Flexible Computing for Intermittent Energy
1. Computing methodologies
  1. Distributed computing methodologies
2. Hardware
  1. Power and energy
    1. Energy generation and storage
      1. Renewable energy

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