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A survey of challenges and solutions for the integration of renewable energy in datacenters

A survey of challenges and solutions for the integration of renewable energy in datacenters
Abstract As more and more activities are moving online, the need for datacenters is increasing which raises their energy consumption and the resulting greenhouse gas emissions. The supply of datacenters with renewable energy is often seen as the main solution to this nexus. However, multiple challenges are posed by their integration. Solutions to these challenges, mainly in the form of flexibility and energy efficiency, require multidisciplinary skills. As a consequence, this article aims to review scientific efforts in several complementary disciplines: electrical engineering, computer science, control system engineering and operations research. It covers datacenter architecture, infrastructure sizing and resource management on both information and energy sides. Conclusions on current progresses are drawn and challenges that remain to be addressed are listed as well.
- University of Franche-Comté France
- Laboratory on Plasma and Conversion of Energy France
- Eaton Corporation Taiwan
- CEA LETI France
- Centre national de la recherche scientifique France
Renewable energy, [SPI.AUTO]Engineering Sciences [physics]/Automatic, Datacenters, [INFO.INFO-CR]Computer Science [cs]/Cryptography and Security [cs.CR], [INFO.INFO-ET] Computer Science [cs]/Emerging Technologies [cs.ET], [INFO.INFO-DC] Computer Science [cs]/Distributed, Parallel, and Cluster Computing [cs.DC], IT management, [INFO.INFO-CR] Computer Science [cs]/Cryptography and Security [cs.CR], [INFO.INFO-DC]Computer Science [cs]/Distributed, Energy scheduling, 028, Parallel, [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation, 620, [SPI.AUTO] Engineering Sciences [physics]/Automatic, and Cluster Computing [cs.DC], [INFO.INFO-MA]Computer Science [cs]/Multiagent Systems [cs.MA], [INFO.INFO-ET]Computer Science [cs]/Emerging Technologies [cs.ET], [INFO.INFO-MA] Computer Science [cs]/Multiagent Systems [cs.MA], [INFO.INFO-MO] Computer Science [cs]/Modeling and Simulation
Renewable energy, [SPI.AUTO]Engineering Sciences [physics]/Automatic, Datacenters, [INFO.INFO-CR]Computer Science [cs]/Cryptography and Security [cs.CR], [INFO.INFO-ET] Computer Science [cs]/Emerging Technologies [cs.ET], [INFO.INFO-DC] Computer Science [cs]/Distributed, Parallel, and Cluster Computing [cs.DC], IT management, [INFO.INFO-CR] Computer Science [cs]/Cryptography and Security [cs.CR], [INFO.INFO-DC]Computer Science [cs]/Distributed, Energy scheduling, 028, Parallel, [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation, 620, [SPI.AUTO] Engineering Sciences [physics]/Automatic, and Cluster Computing [cs.DC], [INFO.INFO-MA]Computer Science [cs]/Multiagent Systems [cs.MA], [INFO.INFO-ET]Computer Science [cs]/Emerging Technologies [cs.ET], [INFO.INFO-MA] Computer Science [cs]/Multiagent Systems [cs.MA], [INFO.INFO-MO] Computer Science [cs]/Modeling and Simulation
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