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City of St. Petersburg·Florida

Municipal Electric Utility (MEU) Feasibility Study

Closes 3/19/2026$500k – $2MRequest for Proposal
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Description

The City of St. Petersburg is seeking a consultant to conduct a feasibility study on establishing a City-owned Municipal Electric Utility (MEU) to replace Duke Energy Florida. The study will evaluate the financial, technical, operational, regulatory, and legal implications of transitioning to an MEU. The consultant will assess the viability of an MEU generating its own 100% renewable energy and compare it to participating in Duke Energy Florida's Clean Energy Connection program. The study will guide the City's strategic energy planning and decision-making. • The consultant will evaluate the financial, technical, operational, regulatory, and legal implications of transitioning to an MEU. • The consultant will assess the viability of an MEU generating its own 100% renewable energy. • The consultant will compare the MEU option to participating in Duke Energy Florida's Clean Energy Connection program. • The study will guide the City's strategic energy planning and decision-making. • The consultant will provide a comprehensive feasibility study, including a draft feasibility report, a final feasibility report, an executive summary, and a presentation to City leadership.

Attached files

The solicitation documents live at the source — open the bid source above to download them.

Contact

Sarah Johnson(Procurement Analyst)

[email protected]

(727) 892-7394

Key dates

Opened
1/30/2026
Questions due
2/26/2026
Closes
3/19/2026
Projected award
7/9/2026

Last updated

Details

Type
Request for Proposal
Industry
Energy and Utilities
NAICS
221100
Solicitation №
RFP- 26 - 118

Budget estimate

$500,000 – $2,000,000

The budget for this contract could range from $500,000 to $2 million, considering the scope of the project, which includes a comprehensive feasibility study, multiple phases, and potential implementation of a City-owned Municipal Electric Utility. Factors influencing this estimate include the complexity of the study, the number of phases, and the potential size of the utility.

AI estimate from the solicitation

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