{
  "abstract": "The rapid expansion of data centers presents both economic opportunities and systemic risks for Caribbean Small Island Developing States~(SIDS). This paper develops a PyPSA-based capacity expansion framework for optimal co-location of data centers with renewable energy infrastructure, incorporating behind-the-meter battery storage, workload flexibility (70\\%/30\\% inflexible/flexible split), and multi-bus transmission topology. Two case studies are examined: Trinidad~\\&~Tobago (single-bus, 92\\,MW Brechin Castle solar, 5\\,MW data center) and Jamaica (4-bus 138\\,kV JPS network, 15\\,MW data center at Kingston). Jamaica's optimum deploys 405\\,MW solar, 278\\,MW wind, 800\\,MWh grid-scale BESS, and 84\\,MWh behind-the-meter BESS, achieving 42.5\\% renewable penetration; Trinidad's gas-anchored optimum builds no new RE, and a sensitivity analysis shows solar entering at gas costs above \\$65--70/MWh, a carbon price of \\$25--50/tCO$_2$, or solar CAPEX of \\$800/kW. A post-hoc distributionally robust stress test evaluates hurricane resilience, and a novel 10-factor siting framework addresses the regulatory gap in SIDS that lack data-center-specific zoning. Results show that energy-optimal locations may score poorly on societal criteria---noise, freshwater stress, zoning readiness. This demonstrates the need for integrated planning tools in small island contexts.",
  "abstract_shown": true,
  "affiliations": [],
  "article_type": null,
  "arxiv": "2609.17980",
  "author_total": 3,
  "authors": [
    {
      "name": "Shankar Ramharack"
    },
    {
      "name": "Patrick Hosein"
    },
    {
      "name": "Rajiv Sahadeo"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/7yvmx9drdhy4c.bib",
  "cited_by": 0,
  "doi": "10.48550/arxiv.2609.17980",
  "fulltext_url": null,
  "id": "7yvmx9drdhy4c",
  "issns": [],
  "landing_url": "https://arxiv.org/abs/2609.17980",
  "language": null,
  "licence": "CC-BY-NC-ND-4.0",
  "licence_label": "CC BY-NC-ND 4.0",
  "licence_source": "article",
  "licence_url": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
  "metadata_licence": "CC0-1.0",
  "native_subjects": [
    [
      "arxiv",
      "cs.SY"
    ],
    [
      "arxiv",
      "eess.SY"
    ],
    [
      "arxiv",
      "math.OC"
    ],
    [
      "openalex",
      "2208|Integrated Energy Systems Optimization"
    ]
  ],
  "openalex": "W7213503656",
  "pdf_url": "https://arxiv.org/pdf/2609.17980",
  "pmcid": null,
  "pmid": null,
  "published": "2026-09-16",
  "publisher": null,
  "ris": "https://research.draconitic.com/paper/7yvmx9drdhy4c.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:22:04Z",
      "native_id": "2609.17980",
      "source": "arxiv",
      "url": "https://arxiv.org/abs/2609.17980"
    }
  ],
  "subjects": [
    {
      "field": "mathematics",
      "origin": "arxiv:math.OC",
      "subfield": "optimisation-control"
    }
  ],
  "title": "On the Optimal Co-location of Data Centers with Renewable Energy Sources in SIDS",
  "title_text": "On the Optimal Co-location of Data Centers with Renewable Energy Sources in SIDS",
  "type": "preprint",
  "updated_at": "2026-10-30T12:22:04Z",
  "url": "https://research.draconitic.com/paper/7yvmx9drdhy4c",
  "venue": "arXiv",
  "versions": []
}