Closed · DE-FOA-0002495 · CFDA 81.135 · Discretionary
Request for Information (RFI): Increasing Data Center Energy Efficiency
Federal grant opportunity posted by Advanced Research Projects Agency Energy, cataloged on Grants.gov.
- $1-$1
- Award range
- Closed
- Status
- April 30, 2021
- Close date
- -
- Expected awards
The verdict
Request for Information (RFI): Increasing Data Center Energy Efficiency is a closed discretionary listing from Advanced Research Projects Agency Energy that offered $1 -- $1. Future funding cycles may be published under the same CFDA number. PlainGrants indexes 183 other opportunities from Advanced Research Projects Agency Energy.
- $1-$1
- award range
- Closed
- application status
- 81.135
- CFDA program
- 183
- other opportunities from Advanced Research Projects Agency Energy
Archived opportunity record
Request for Information is closed (last close April 30, 2021). The parent program page for CFDA 81.135 is the reliable place to catch re-announcements. Advanced Research Projects Agency Energy still indexes 183 other opportunities here.
According to Grants.gov (extract vintage 2026-08-10), this record reflects the officially published listing. See methodology.
Deadline tracker
Application window closed
Closed April 30, 2021
Instrument
Other
Description
Request for Information (RFI): Increasing Data Center Energy EfficiencyThis is a Request for Information (RFI) only. This RFI is not soliciting application for financial assistance. The purpose of this RFI is solely to solicit input for ARPA-E consideration to inform the possible formulation of future programs.The purpose of this RFI is to solicit input for a potential future ARPA-E research program focused on novel, potentially transformative technical opportunities, and approaches to increase the energy efficiency of data centers. Online services and online data use have grown exponentially for years and is expected to grow even more so in the upcoming years due to growing trends such as virtual online meetings, artificial intelligence, machine learning, machine vision, and augmented reality. Recent indications also illustrate that we are on the precipice of accelerated machine-to-machine communication also known as Internet of Things (IOT) as cars, aircraft, industrial machines, and household devices will start gathering and communicating data for their operations. These virtual communications occur on an infrastructure supported by millions of servers that are hosted in data centers. Data centers exist in a variety of sizes and operational models ranging from enterprise, co-location to hyperscale data centers. It is projected that current U.S. data centers consume in excess of 75 billion kWh electricity annually3 and that innovative technologies such as advances in semiconductors, virtualization and economization have contributed to a relatively modest increase in energy usage compared to the 550% growth in compute instances over the past decade. However, the semiconductor transistor scaling trend which consistently delivered operational energy savings during this time period, or “Moore’s law”, reached an inflection point in 2016, and it is therefore expected that data center energy usage will rise as future data communications demand is expected to grow exponentially. The goal of the potential program is to support transformational technologies that can increase the energy efficiency of current and future data centers over as wide an application range as possible. Examples of potential areas of interest are disruptive innovations in efficient and reliable power supply, data processing, thermal management, server, rack, or building designs. These technologies could be developed as stand-alone component innovations or be considered as part of system-level approaches that span multiple component innovations as a system.The information you provide may be used by ARPA-E in support of program planning. THIS IS A REQUEST FOR INFORMATION ONLY. THIS NOTICE DOES NOT CONSTITUTE A FUNDING OPPORTUNITY ANNOUNCEMENT (FOA). NO FOA EXISTS AT THIS TIME. To view the RFI in its entirety, please visit https://arpa-e-foa.energy.gov.
Catch-all / unrestricted eligibility mark · DE-FOA-0002495
Grants.gov marks Request for Information with a catch-all / unrestricted eligibility code (Unrestricted / see official listing). Read the official announcement text for the real applicant filter — the code alone is not a door list. The extract does not mark applicant cost-sharing as required. Instrument: Other. Funding-activity codes span Opportunity Zones · Science and Technology / R&D (OZ;ST). This eligibility-code string dominates the Advanced Research Projects Agency Energy book (138 peers, 75% of 184).
- Code 99
- Unrestricted / see official listing
Codes are Grants.gov eligibility category values from the extract vintage 2026-08-10. Confirm the full eligibility statement on the official listing or the Grants.gov eligibility reference.
Official Listing on Grants.gov
View full details, application forms, and submission instructions.
Parent Grant Program
Environmental Cleanup
U.S. Department of Energy
Agency Contact
ARPA-E CO
More from Advanced Research Projects Agency Energy
What to do next
Request for Information is closed; use the parent program and agency catalog for the next funding cycle.
- Parent CFDA 81.135 may publish future NOFOs under the same assistance listing. Open program
- Environmental Cleanup indexes 2 Grants.gov listings in this extract. Program profile
- Advanced Research Projects Agency Energy lists 183 other indexed opportunities on PlainGrants. Agency catalog
Opportunity deadlines and eligibility change on Grants.gov; PlainGrants mirrors the extract and is not the submission system.
Disclaimer: This information is sourced from Grants.gov and SAM.gov and is for informational purposes only. Opportunity details, deadlines, and eligibility requirements change frequently. Always verify current information directly on Grants.gov before applying. PlainGrants is not affiliated with any federal agency.
Read our methodology - how this data is sourced, computed, and verified.
| Publisher | PlainGrants |
| Sources | the SAM.gov Assistance Listings and Grants.gov |