This Government Contract opportunity from Department Of Energy was posted on July 20, 2026. The submission period has ended. Browse the details below for market research, or find similar active opportunities.

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Available for Licensing: Behind-the-Meter Energy Management Technology for Peak Shaving and Load Shaping

Closed

BA-946Federal

Submission Closed08/30/2026, 06:00:00 AM UTC

Contract Overview

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

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AI Contract Overview

A control algorithm is available for licensing that manages behind-the-meter energy storage and onsite generation to optimize peak shaving and load shaping across electrical power systems. Designed to reduce energy costs and demand charges for facility operators while alleviating strain on utility infrastructure, the system coordinates batteries and local generation to deploy stored energy at optimal times. It is engineered for broad scalability, functioning seamlessly across residential, commercial, industrial, nanogrid, microgrid, and distribution-level applications, from 120 V to 66 kV systems. The algorithm operates in two stages—proactive hour-ahead scheduling using weather and load forecasts, followed by real-time adjustments based on actual conditions—and adapts battery usage based on energy security needs, reserving charge when only a single fuel source is available. It responds to utility demand-response signals, time-based pricing, and grid constraints, and is capable of operating in both grid-connected and islanded modes, making it suitable for critical facilities requiring uninterrupted power. This technology is not intended for procurement but for partnership through licensing, co-development, or evaluation by industry stakeholders such as power-system software developers, energy technology firms, and electric utilities. It addresses a key industry challenge by replacing fragmented, facility-specific solutions with a unified, adaptable framework that eliminates the need for redesign across deployment contexts. Applications include reducing operational expenses for facility owners, supporting grid congestion management, enhancing energy security for hospitals and defense sites, and enabling participation in electricity balancing markets. The technology is managed by Battelle Energy Alliance under the U.S. Department of Energy, with licensing inquiries directed to Javier Martinez at the Idaho Falls office. Interested parties must respond by August 30, 2026, to explore commercialization pathways under solicitation number BA-946.

General Info

Scalable algorithm manages onsite energy storage and generation for cost reduction and grid stability across all voltage tiers.

Agency

Department Of Energy → Battelle Energy Alliance–doe CntrView Agency

NAICS

221118 - Other Electric Power GenerationView NAICS

Place of Performance

Idaho Falls, ID, 83401, USA

Set-Aside

NONE

Documents

(0)

No documents available

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Uniform Contract Format

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Timeline

1 update

PhaseClosed

PostedJun 17

Solicitation

Amendment 1Jul 20

Contract was updated

Response DeadlineAug 30

Deadline has passed

Submission Closed

08/30/2026, 06:00:00 AM UTC

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Organization & Contact Information

AgencyDepartment Of Energy → Battelle Energy Alliance–doe Cntr

Contacts1 person available

OfficeIdaho Falls, ID, 83415, USA

Organization / Agency

Department Of Energy → Battelle Energy Alliance–doe Cntr

View Agency Profile

Office AddressIdaho Falls, ID, 83415, USA

Contacts

Javier Martinez

contact@example.gov

Full Description

Overview

This technology is a control algorithm that manages behind-the-meter energy storage and onsite generation to perform peak shaving and load shaping in electrical power systems. Peak shaving reduces the highest points of electricity demand, while load shaping adjusts consumption and generation patterns over time to meet cost or operational goals. The intended value is twofold: reduced energy costs and demand charges for facility operators, and reduced strain on utility infrastructure during high-demand periods. The algorithm coordinates locally available battery storage and generation to draw on stored energy at the most advantageous times. A distinguishing design objective is scalability. Rather than being purpose-built for a single facility type, the same approach is intended to apply across residential, commercial, industrial, nanogrid, microgrid, and distribution-system contexts. It is designed to be deployed either as software integrated into a utility energy management system or as firmware on a standalone microcontroller for smaller installations.

Industry Need

Facility operators face rising electricity costs driven in part by demand charges tied to peak usage, while utilities face the cost and complexity of meeting concentrated demand peaks and managing grid congestion. Many existing peak-shaving and load-shaping solutions are built for a specific facility type or grid context, which introduces scalability, interoperability, and flexibility constraints when the same capability is needed across different system sizes or configurations. This can require redesign or separate tooling for each deployment. In parallel, critical facilities such as hospitals and defense installations require dependable operation and improved energy security, including the ability to continue functioning when disconnected from the main grid. These pressures create demand for a single adaptive method that coordinates existing storage and generation assets across varied operating conditions.

Differentiation & Advantages

Designed as a single generic approach intended to scale from a few kilowatts to tens of megawatts, and across voltages from residential 120 V to 66 kV sub-transmission.
Uses a two-stage method: proactive hour-ahead scheduling based on forecasts, followed by real-time adjustment based on measured conditions.
Incorporates weather and meteorological data to improve forecasting of onsite generation and load.
Adapts usable battery state-of-charge range to energy-security needs, reserving a narrower range where only a single fuel source is available.
Designed to respond to utility demand-response commands, price signals, and technical constraint signals, and to operate in both grid-connected and islanded modes.

Potential Applications

Residential, commercial, and industrial facilities seeking to reduce demand charges and energy costs.
Nanogrids and microgrids requiring coordinated control of local storage and generation.
Utility distribution systems using the method to support peak reduction and congestion management.
Critical facilities such as hospitals and defense installations where energy security and continued operation are priorities.
Deployments where local resources may also participate in balancing or regulating electricity markets.

Partnering Opportunity

This technology is available for collaboration through technology transfer, and this is not a procurement opportunity. We are not soliciting or acquiring services, products, or contract work. Instead, we are seeking industry partners interested in licensing, co-development, or evaluation of the technology for commercial application. Ideal partners may include power-system software developers, energy technology firms, and electric utilities positioned to advance the technology toward deployment. Interested organizations are encouraged to reach out to discuss licensing terms, joint development pathways, or evaluation arrangements.