Energy Management for Renewable-Colocated Artificial Intelligence Data Centers
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arXiv
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| Auteurs principaux: | , , |
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| Format: | Preprint |
| Publié: |
2025
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| _version_ | 1866918146928017408 |
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| author | Li, Siying Tong, Lang Mount, Timothy D. |
| author_facet | Li, Siying Tong, Lang Mount, Timothy D. |
| contents | We develop an energy management system (EMS) for artificial intelligence (AI) data centers with colocated renewable generation. Under a cost-minimizing framework, the EMS of renewable-colocated data center (RCDC) co-optimizes AI workload scheduling, on-site renewable utilization, and electricity market participation. Within both wholesale and retail market participation models, the economic benefit of the RCDC operation is maximized. Empirical evaluations using real-world traces of electricity prices, data center power consumption, and renewable generation demonstrate significant electricity cost reduction from renewable and AI data center colocations. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2507_08011 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Energy Management for Renewable-Colocated Artificial Intelligence Data Centers Li, Siying Tong, Lang Mount, Timothy D. Optimization and Control Artificial Intelligence Systems and Control We develop an energy management system (EMS) for artificial intelligence (AI) data centers with colocated renewable generation. Under a cost-minimizing framework, the EMS of renewable-colocated data center (RCDC) co-optimizes AI workload scheduling, on-site renewable utilization, and electricity market participation. Within both wholesale and retail market participation models, the economic benefit of the RCDC operation is maximized. Empirical evaluations using real-world traces of electricity prices, data center power consumption, and renewable generation demonstrate significant electricity cost reduction from renewable and AI data center colocations. |
| title | Energy Management for Renewable-Colocated Artificial Intelligence Data Centers |
| topic | Optimization and Control Artificial Intelligence Systems and Control |
| url | https://arxiv.org/abs/2507.08011 |