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Clean Energy Planning Tool Development

Active

State & Local

Contract Overview

Solicitation details, issuing organization, response deadlines, documents, and interested companies for this government contract opportunity.

AI Contract Overview

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The contract titled Clean Energy Planning Tool Development involves creating interactive digital tools including dashboards and GIS maps to enable communities to visualize energy consumption patterns and simulate decarbonization pathways. These tools are intended to support local decision-making by providing accessible, data-driven insights into energy use and potential climate mitigation strategies. The work is being conducted as a subcontract under the Energy Commission of California, with performance centered in Livermore, CA, at the ZIP code 94550, and is classified under NAICS code 541512 for computer system design services. The opportunity was posted on July 9, 2026, and is aimed at advancing clean energy planning through technology that enhances public understanding and engagement with energy transition modeling.

General Info

Develop interactive digital tools for clean energy planning and decarbonization visualization in Livermore, CA.

Agency

California → Energy Commission

NAICS

541512 - Computer Systems Design ServicesView NAICS

Place of Performance

Livermore, CA, 94550

Set-Aside

NONE

Documents

This scope was carved out of Rural and Indigenous Solutions for an Inclusive Natural Gas Transition (RISING).

The full solicitation package (1 document), including the RFP, is on the prime solicitation, not on this scope.

View the prime solicitation

AI Contract Breakdown

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Timeline

PostedJul 9

subcontract

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Organization & Contact Information

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AgencyCalifornia → Energy Commission

ContactsNo contacts available

OfficeN/A

Organization / Agency

California → Energy Commission

Office AddressN/A

ContactsNo contact information available

Full Description

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Develop interactive digital tools such as dashboards and GIS maps to help communities visualize energy use and model decarbonization scenarios.

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