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Awarded contract·Cal Poly San Luis Obispo (CSU)·California

Energy Storage Site License - MJ0107 - Technical Proposal Submission

$3MSingle Award
Contract source

Description

The purpose of this Request for Proposal (RFP) is to solicit proposals from potential development partners to design, install, operate, and own a Battery Energy Storage System (BESS) on the California State Polytechnic, San Luis Obispo campus. The BESS is intended to be used to provide peak shaving, with a minimum size of 1 Megawatt, 4 Megawatt hours. The project is being managed by Cal Poly San Luis Obispo, and the RFP documents are available for download on the Public Purchase website. The proposal submission deadline was October 29, 2025, and the shortlisted firms will be announced on November 14th, 2025. Some key points to consider for this project include: • The BESS must be designed to provide peak shaving capabilities • The system must be able to operate at a minimum of 1 Megawatt, 4 Megawatt hours • The project is being managed by Cal Poly San Luis Obispo • The RFP documents are available for download on the Public Purchase website • The proposal submission deadline was October 29, 2025

Attached files

Key dates

Last updated

Details

Award type
Single Award
Procurement
Full and Open Competition
Industry
Energy and Utilities
NAICS
221119
Solicitation №
202907367

Contract value

$3,000,000

The value of this contract is difficult to estimate, as the RFP documents do not provide a clear indication of the budget for the project. However, based on the scope of the project, which includes the design, installation, operation, and ownership of a Battery Energy Storage System, it is likely that the contract value will be in the millions of dollars. A rough estimate could be between $1 million and $5 million, depending on the specific requirements and specifications of the project. Factors that may influence the contract value include the size and complexity of the BESS, the materials and equipment required, and the labor costs associated with the design, installation, and operation of the system.

AI estimate from the award documents

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