Request for Proposals: Artificial Intelligence Infrastructure and Energy Generation on DOE Land at Savannah River Site
ID: RFP-AI-1Type: Solicitation
Overview

Buyer

ENERGY, DEPARTMENT OFENERGY, DEPARTMENT OFNNSA NON-MO CNTRCTNG OPS DIVALBUQUERQUE, NM, 87185, USA

NAICS

Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (51821)

PSC

LEASE/RENTAL OF UNIMPROVED REAL PROPERTY (LAND) (X1PC)

Set Aside

No Set aside used (NONE)

Original Source

https://sam.gov/workspace/contract/opp/fd8e45d5e5874cfab3a32dc81d0a4ef1/view
Timeline
    Description

    The Department of Energy (DOE) is issuing a Request for Proposals (RFP) for a long-term lease of land at the Savannah River Site (SRS) in Aiken, South Carolina, aimed at developing Artificial Intelligence (AI) data centers and energy generation infrastructure. The initiative seeks proposals for integrated projects that include both AI data centers and energy generation, with a focus on innovative energy solutions and rapid development to enhance U.S. leadership in AI and energy sectors. This opportunity is critical for supporting economic competitiveness and national security, as selected entities will be responsible for all aspects of development, including environmental compliance and financial obligations. Interested parties can contact Jeff Hynds at NNSA_AI_Infrastructure@srs.gov for further information, with proposals due by the specified deadline.

    Point(s) of Contact
    Jeff Hynds
    NNSA_AI_Infrastructure@srs.gov
    Files
    Title
    Posted
    Appendix D - Offeror Cover Page .docx
    The provided document is a cover page for a Request for Proposals (RFP) titled "Artificial Intelligence Infrastructure and Energy Generation on DOE Land." This cover page serves as a template for offerors to submit their company information when responding to the RFP. It requires details such as the company name, point of contact, address, telephone, fax, email, and website. Additionally, it mandates the printed name, title, signature, and date of an authorized representative and signatory for the offeror. The document's purpose is to standardize the submission of essential administrative information from companies interested in proposing solutions related to AI infrastructure and energy generation on Department of Energy (DOE) land.
    Appendix E - Past Performance Reference Information Form.docx
    The "Artificial Intelligence Infrastructure and Energy Generation on DOE Land Request for Proposals" outlines a comprehensive Past Performance Reference Information Form. This form requires offerors to provide detailed information about past projects, including client contact, project location, energy generation type, land usage, nameplate capacity, project timeline, and a thorough description of design, construction, management, and operation. Financial aspects such as project financing, cost, and off-take agreements are also requested. Offerors must specify their role and activities, discuss work complexity, and provide safety performance statistics, including OSHA DART and TRC rates. The document emphasizes consistency of information across the proposal and allows for format amendments in the appendix if specific guidelines are followed.
    FINAL AI and Energy Infrastructure on SRS RFP (v04)_DOE.pdf
    The Department of Energy (DOE) is issuing a Request for Proposals (RFP) for the long-term lease of land at the Savannah River Site in Aiken, SC, to develop Artificial Intelligence (AI) data centers and energy generation infrastructure. This initiative aims to enhance U.S. leadership in AI and energy, supporting economic competitiveness and national security. Proposals can be for integrated AI data center and energy projects, phased projects, or energy infrastructure projects, all requiring new energy generation. The DOE seeks rapid development, innovative energy solutions, and collaboration opportunities. The property is offered "as-is/where-is," with selected entities responsible for all development, environmental compliance (including NEPA and NHPA), permitting, and financial obligations. Eligible offerors must be U.S.-organized, majority domestically-owned, and undergo foreign influence risk reviews.
    SRNL-L4300-2011-00011 (FINAL).pdf
    This document outlines a hypothetical site selection process for a small modular reactor using the Site Selection Modeling System (SSMS) program, detailed in a memo from Nancy Halverson to Jack Mayer. It describes the assumptions made for criteria, weighting, and scoring in Test #27, emphasizing that the results are hypothetical and for demonstration purposes only. The criteria for NuScale's reactor included 20 acres, above a 100-year floodplain, seismic stability, an 85-foot excavation depth, 4 million gallons per day (MGD) water requirement, and proximity to transmission lines, roads, rails, domestic water, and sanitary sewer systems. Exclusions encompassed buffered floodplains, threatened and endangered species areas, eagle nests, setasides, woodpecker nests/tracts, wetlands, waste sites, fault lines, and sinkholes. Weighting categories included minimizing ecology impact (15%), human health impact (25%—not factored in this test), favorable geoscience characteristics (25%), and favorable engineering characteristics (35%). Individual criteria scores for distances from various GIS features (e.g., wetlands, fault lines, power lines) and depth to groundwater were also detailed. The document notes that groundwater contamination plumes were not yet in the program, and high-scoring sites intersecting existing plumes could be removed manually. The report concludes by explaining how the SSMS identified top-scoring sites, including an anomaly where large, high-scoring areas were split between grid locations.
    SRS AI and Energy Infrastructure Sites KML file.docx
    The document instructs users on accessing a .kml (Keyhole Markup Language) file containing the coordinates for ten sites. Users must double-click an icon to launch the file, requiring compatible software on their computer to open it. Once opened, the file can be saved locally. This information is crucial for government RFPs, federal grants, and state/local RFPs that involve geographical data or site-specific project planning, ensuring all parties can access and utilize the provided location details.
    SRS AI Energy RFP QA Part 1.docx
    The AI and Energy Infrastructure FAQ (Revision 2) addresses key questions regarding proposals for data centers and energy generation on the Savannah River Site (SRS). It clarifies that while data center and energy consortiums can apply separately, proposals without power generation will not be considered, requiring clear linkages and timelines for integration. The document also details considerations for land lease fees, decommissioning bonds, and water withdrawal limits, noting that offerors must substantiate proposed lease rates and cover appraisal costs. It specifies water allocation among tenants, power sources for river water pumps, and guidelines for road alterations within the site. Additionally, the FAQ outlines requirements for interconnection information, interim power from the grid, and coordination between data center and SMR deployment timelines. Security clearances are not required for working at offeror facilities but specific badging and access protocols are enforced for site entry. Submission formatting guidelines are also provided, including acceptable font styles, sizes for tables and graphics, and inclusion of front matter in proposals.
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