ARPA-E Funding Opportunity Announcements

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  RFI-0000036 Announcement of Teaming Partner List for an upcoming Funding Opportunity Announcement: Machine Learning-Enhanced Energy-Product Development Teaming Partner List
  RFI-0000035 Announcement of Teaming Partner List for an upcoming Funding Opportunity Announcement: Control Co-Design of Floating Offshore Wind Turbines Teaming Partner List
  DE-FOA-0001953 Solicitation on Topics Informing New Program Areas Funding Opportunity Announcement (FOA) 12/19/2019 05:00 PM ET
  DE-FOA-0001954 Solicitation on Topics Informing New Program Areas SBIR/STTR Funding Opportunity Announcement (FOA) 12/19/2019 05:00 PM ET
  DE-FOA-0002051 Aerodynamic Turbines, Lighter and Afloat, With Nautical Technologies and Integrated Servo-Control (ATLANTIS) Funding Opportunity Announcement (FOA) 3/18/2019 09:30 AM ET 6/24/2019 09:30 AM ET
  DE-FOA-0002107 Design Intelligence Fostering Formidable Energy Reduction and Enabling Novel Totally Impactful Advanced Technology Enhancements (DIFFERENTIATE) Funding Opportunity Announcement (FOA) 5/20/2019 09:30 AM ET TBD
  DE-FOA-0002108 Design Intelligence Fostering Formidable Energy Reduction and Enabling Novel Totally Impactful Advanced Technology Enhancements (DIFFERENTIATE) (SBIR/STTR) Funding Opportunity Announcement (FOA) 5/20/2019 09:30 AM ET TBD
  DE-FOA-0002120 Request for Information (RFI): Pre-pilot and pilot R&D projects to scale, mature, and advance ARPA-E funded technologies Request for Information (RFI) TBD TBD
  DE-FOA-0002142 Request for Information (RFI) on Next Generation of Marine and Riverine Hydrokinetic Energy Systems Request for Information (RFI) TBD TBD

RFI-0000036: Announcement of Teaming Partner List for an upcoming Funding Opportunity Announcement: Machine Learning-Enhanced Energy-Product Development

The Advanced Research Projects Agency – Energy (ARPA–E) intends to issue a new Funding Opportunity Announcement (FOA) that would seek to enhance the pace of energy innovation by accelerating the incorporation of machine learning into the engineering design processes for energy technologies and systems.

In order to organize the anticipated efforts, a simplified engineering design process framework has been adopted (Figure 1 - see attached document). Within the context of this framework, it is possible to conceptualize how machine learning tools would help engineers to execute and solve several general mathematical optimization problems, common to many (perhaps most) engineering design processes, in a manner that dramatically accelerates the pace of energy innovation.

The envisioned program would seek to enhance several aspects of the design process via machine-learning tools:

1) Hypothesis Generation Tools: Enhance the creativity of the hypothesis generation (i.e. conceptual design) process by helping engineers develop new concepts and by enabling the consideration of a larger and more diverse set of design options. Many of the design problems at this stage of the process can be characterized as Mixed Integer Non-Linear Optimization problems;

2) Hypothesis Evaluation Tools: Enhance the efficiency of the high-fidelity evaluation (i.e. detailed design) process by accelerating the high-fidelity analysis and optimization of the hypothesized solution concepts. Many of the design problems at this stage of the process can be characterized as Non-Linear Constrained Optimization problems; and

3) Inverse Design Tools:Reduce (ideally eliminate) design iteration by developing the capability to execute “inverse design” processes in which the product design is effectively expressed as an explicit function of the problem statement.

ARPA-E envisions posing several challenge problems to motivate the development of enhanced design processes/tools. These challenge problems are in areas that ARPA-E feels to be of significant importance and for which it feels that adequate data either are available or can be generated during the program. Note: the intended FOA evaluation criteria are expected be principally focused on the potential impact that the proposed ML-enhanced design tools might have on future general engineering design processes through their potential to reduce design cost, time and risk and/or increase design performance, robustness and novelty.

Potential design challenge problems include the following:

· Hypothesis Generation (i.e. Conceptual Design)

  • Thermodynamic Cycles/Chemical Processes (e.g. Gas Separations)
  • Electrical Circuits
  • Materials/Molecules

· Hypothesis Evaluation (I.e. Detailed Design)

  • Fuel/Electrolyzer Cells
  • Gas Compressors
  • Solar Cells

· Inverse Design

  • Aerodynamic Surfaces
  • Optical Devices

ARPA-E envisions projects that seek to develop machine learning enhanced tools that facilitate the solution to one of the above challenge problems. It is also envisioned that, for any of the above categories, there will be an option for applicant teams to propose their own, alternative challenge problem so long as it is sufficiently justified (i. e. that it is both highly impactful and especially appropriate/ripe for enhancement via machine learning). It is expected that each proposal would explicitly identify a selected challenge problem, an anticipated ML-enhanced solution approach, a data[1] acquisition/generation strategy, the major development risks, and an anticipated path to market for the design tool / software to be developed. It is important to note that ARPA-E does not envision developing prototypes of physical systems through this FOA – the focus is on developing the ML-enhanced design tools only.

As described in more detail below, the purpose of this teaming announcement is to facilitate the formation of new project teams to respond to the pending FOA. The FOA will provide specific program goals, technical metrics, selection criteria, and other terms and requirements. However, for purposes of the Teaming Partner List, a summary of the currently anticipated scope is provided below.

In order to realize the envisioned program goals, ARPA‐E aims to bring together diverse engineering and scientific communities. These communities include, but are not limited to machine learning, mathematics/optimization, computer science, software, and energy (e.g. mechanical, chemical, materials, or electrical) engineering.

As a general matter, ARPA-E strongly encourages outstanding scientists and engineers from different organizations, scientific disciplines, and technology sectors to form project teams. Interdisciplinary and cross-sector collaboration spanning organizational boundaries enables and accelerates the achievement of scientific and technological outcomes that were previously viewed as extremely difficult, if not impossible.

The Teaming Partner List is being compiled to facilitate the formation of new project teams. The Teaming Partner List will be available on ARPA-E eXCHANGE (http://arpa-e-foa.energy.gov), ARPA-E’s online application portal, starting January 15, 2019. The Teaming Partner List will be updated periodically, until the close of the Full Application period, to reflect new Teaming Partners who have provided their information.

Any organization that would like to be included on this list should complete all required fields in the following link: https://arpa-e-foa.energy.gov/Applicantprofile.aspx. Required information includes: Organization Name, Contact Name, Contact Address, Contact Email, Contact Phone, Organization Type, Area of Technical Expertise, and Brief Description of Capabilities.

By submitting a response to this Notice, you consent to the publication of the above-referenced information. By facilitating this Teaming Partner List, ARPA-E does not endorse or otherwise evaluate the qualifications of the entities that self-identify themselves for placement on the Teaming Partner List.  ARPA-E will not pay for the provision of any information, nor will it compensate any respondents for the development of such information. Responses submitted to other email addresses or by other means will not be considered.

This Notice does not constitute a FOA. No FOA exists at this time. Applicants must refer to the final FOA, expected to be issued in March 2019, for instructions on submitting an application and for the terms and conditions of funding.

[1] In the interest of minimizing the cost of acquiring/generating training data, it is anticipated that the vast majority of the “data” used in the development of the desired tools will be generated with physics-based models.

Documents

  • Machine_Learning_Teaming_Partner_List_2019_01_15 (Last Updated: 1/15/2019 04:38 PM ET)

Contact Information

Teaming Partners

To access the Teaming Partner List for the FOA, click here.

RFI-0000035: Announcement of Teaming Partner List for an upcoming Funding Opportunity Announcement: Control Co-Design of Floating Offshore Wind Turbines

The Advanced Research Projects Agency – Energy (ARPA–E) intends to issue a new Funding Opportunity Announcement (FOA) that would seek to develop new technical pathways for the design of economically competitive Floating Offshore Wind Turbines (FOWTs). The program envisions leveraging the Control Co-Design (CCD) methodology, which brings together engineering disciplines to work concurrently, as opposed to sequentially, and considers dynamic control aspects from the beginning of the design. By analyzing the numerous dynamic sub-system interactions of the FOWTs, the CCD methodology can identify control solutions for optimal designs that are not achievable otherwise. Projects in this program are envisioned in three fundamental areas: (1) radically new FOWT designs with significantly lower mass/kW, (2) a new generation of computer tools to control co-design the FOWTs, and (3) real-data from full and lab-scale experiments to validate the FOWT designs and computer tools.

State of the art FOWT technology has achieved an average LCOE of approximately $0.15-0.18/kWh, which it is still too high in comparison to the current $0.03-0.05/kWh for land-based wind turbine technologies.[1] High capital expenditures (CAPEX) are the key driver of the LCOE of a FOWT. A significant portion of these CAPEX is the cost of the steel that existing floating platforms incorporate. Floating platforms are designed to be large and heavy in an effort to (a) imitate the onshore wind turbine dynamics, (b) keep the system as stable as possible and (c) maximize system survivability during events such as large sea storms. Internal ARPA-E analysis shows that the cost of steel accounts for between 50% and 70% of the overall CAPEX for existing FOWT designs. Consequently, this envisioned program seeks to support the design of radically new FOWTs that maximize the insufficient specific power per unit of mass (W/kg), while maintaining, or ideally increasing, the turbine generation efficiency.

The technologies that will be developed under this FOA could lead to substantial technical advancements in fields of significance to U.S. national interests. If successful, this program will create a pathway towards FOWTs that are economically competitive. This would open up access to an untapped and bountiful source of U.S. energy[2], and a vast associated supply chain market.

More details on the envisioned program can be found in a recently released RFI, which contains a draft of the technical section of the FOA and provides instructions for readers to provide feedback to ARPA-E. Additionally, in support of this RFI and draft technical section, ARPA-E plans to organize a one day “Industry Day” on January 15th, 2019. The primary purpose of the industry day will be to evaluate and strengthen the draft technical section prior to release of the FOA. Participants will lend their technical expertise to suggest any necessary refinements to the draft technical section.

In order to realize the envisioned program goals, ARPA‐E aims to bring together diverse engineering and scientific communities. These communities include, but are not limited to control and systems engineering, co-design, aerodynamics, hydrodynamics, electrical and mechanical systems, power electronics, electrical generators, structural engineering, naval engineering, modeling, optimization, economics, multi-scale and multi-physics computer algorithms, parallel computing, distributed sensors, intelligent signal processing and actuator networks; as well as developers of offshore wind energy systems and electrical utilities.

As a general matter, ARPA-E strongly encourages outstanding scientists and engineers from different organizations, scientific disciplines, and technology sectors to form project teams. Interdisciplinary and cross-sector collaboration spanning organizational boundaries enables and accelerates the achievement of scientific and technological outcomes that were previously viewed as extremely difficult, if not impossible.

The Teaming Partner List is being compiled to facilitate the formation of new project teams. The Teaming Partner List will be available on ARPA-E eXCHANGE (http://arpa-e-foa.energy.gov), ARPA-E’s online application portal, starting December 03, 2018. The Teaming Partner List will be updated periodically, until the close of the Full Application period, to reflect new Teaming Partners who have provided their information.

Any organization that would like to be included on this list should complete all required fields in the following link: https://arpa-e-foa.energy.gov/Applicantprofile.aspx. Required information includes: Organization Name, Contact Name, Contact Address, Contact Email, Contact Phone, Organization Type, Area of Technical Expertise, and Brief Description of Capabilities.

By submitting a response to this Notice, you consent to the publication of the above-referenced information. By facilitating this Teaming Partner List, ARPA-E does not endorse or otherwise evaluate the qualifications of the entities that self-identify themselves for placement on the Teaming Partner List. ARPA-E will not pay for the provision of any information, nor will it compensate any respondents for the development of such information. Responses submitted to other email addresses or by other means will not be considered.

This Notice does not constitute a FOA. No FOA exists at this time. Applicants must refer to the final FOA, expected to be issued in February 2019, for instructions on submitting an application and for the terms and conditions of funding.

[1] Stehly, T., Beiter, P., Heimiller, D., Scott, G. (2018). 2017 Cost of Wind Energy Review. National Renewable Energy Laboratory. Technical Report NREL/TP-6A20-72167.

[2] Estimate that the gross offshore wind resource in the U.S is over 151 quads/yr (“gross potential”). This number is still as large as ~25 quads/yr even once losses and conservative assumptions about what would be feasible to recover given technical, legal, regulatory and social inhibiting factors are incorporated. Fifty-eight percent of this “technical potential” lies in waters deeper than 60 m, accounting for ~14 quads/yr, which exceeds the entire U.S. annual electricity consumption in 2017 (13 quads/yr).

Documents

  • Teaming_Partner_List_Control_Co-Design_(CCD)_of_Floating_Offshore_Wind_Turbines_(FOWT) (Last Updated: 12/3/2018 04:10 PM ET)

Contact Information

Teaming Partners

To access the Teaming Partner List for the FOA, click here.

DE-FOA-0001953: Solicitation on Topics Informing New Program Areas

This announcement is purposely broad in scope, and will cover a wide range of topics to encourage the submission of the most innovative and unconventional ideas in energy technology. The objective of this solicitation is to support high-risk R&D leading to the development of potentially disruptive new technologies across the full spectrum of energy applications. Topics under this FOA will explore new areas of technology development that, if successful, could establish new program areas for ARPA-E, or complement the current portfolio of ARPA-E programs.

Targeted Topics:

A. Extremely Durable Concretes and Cementitious Materials
CLOSED - FA Deadline passed 9:30 AM ET 2/19/19

B. Leveraging Innovations Supporting Nuclear Energy
CLOSED - FA Deadline passed 9:30 AM ET 2/19/19

C. Downhole Tools to Enable Enhanced Geothermal Systems
CLOSED - FA Deadline passed 9:30 AM ET 2/19/19

D. Diagnostic Resource Teams to Support the Validation of Potentially Transformative Fusion-Energy Concepts
CLOSED - FA Deadline passed 9:30 AM ET 4/15/19

E. Quantification of Effectiveness of Nutrient Bioextraction by Seaweed
CLOSED - FA Deadline passed 9:30 AM ET 5/13/19

F: High Value Methane Pyrolysis
FA Deadline 9:30 AM ET 7/26/19

This announcement describes a research thrust entitled “High Value Methane Pyrolysis”. The purpose of this announcement is to (1) focus the attention of the scientific and technical community on specific areas of interest related to methane pyrolysis, (2) encourage dialogue amongst those interested in this area, and (3) provide a timetable for the submission of full applications.

Today, nearly all of hydrogen produced in the US, about 10 million tons per year, is derived from natural gas via steam methane reforming. Steam methane reforming offers the lowest factory gate cost of hydrogen, but also produces significant quantities of carbon dioxide (9-14 kg CO2/kg H2). Current options for producing hydrogen with little or no release of carbon dioxide include electrolysis of water to hydrogen and oxygen and steam methane reforming with CO2capture and sequestration. A third option is to split methane directly into hydrogen and elemental carbon at high temperatures, which is also known as methane pyrolysis or methane cracking.

In the context of hydrogen production on an energy‐relevant scale, the volumes of co‐produced carbon would be very large. For perspective, to produce the amount of hydrogen required to produce 1 quadrillion (1015) BTU (1 quad) of energy, over 22 million tons of carbon would be generated. Therefore, potential applications for the resulting carbon products at scale have to be on a correspondingly large scale. The carbon materials will need to have useful macroscopic properties with regard to thermal, electrical, and/or mechanical performance required by these applications.

ARPA‐E has identified an ongoing need to better understand the formation and control the production of specific, desirable carbon structures, in a methane pyrolysis process environment that is simultaneously suitable for the economical production of hydrogen at scale (> 10,000 tons/yr) with a low CO2 footprint.

Documents

  • DE-FOA-0001953 Modification 03 (Last Updated: 5/21/2019 04:52 PM ET)

Previous Versions

  • DE-FOA-0001953 Initial Announcement (Last Updated: 12/20/2018 01:42 PM ET)
  • DE-FOA-0001953 Modification 01 (Last Updated: 2/13/2019 03:15 PM ET)
  • DE-FOA-0001953 Modification 02 (Last Updated: 3/12/2019 03:10 PM ET)

Required Application Documents

Pursuant to the FOA, Applicants are required to submit the "Required Application Documents" with their Application. Incomplete applications will not be reviewed or considered.

View Template Application Documents

Full Application

  • Technical Volume Template_DE-FOA-0001953 (Last Updated: 2/8/2019 12:42 PM ET)
  • Technical Volume Template_DE-FOA-0001953 (Fixed-Amount Grants) (Last Updated: 3/12/2019 03:20 PM ET)
  • SF-424 (Last Updated: 12/20/2018 01:27 PM ET)
  • Budget Justification/ SF-424A Workbook (Last Updated: 12/20/2018 01:27 PM ET)
  • SF-424A (Fixed-Amount Grant) (Last Updated: 3/12/2019 03:18 PM ET)
  • Budget Justification/ SF-424A Workbook Guidance (Last Updated: 12/20/2018 01:28 PM ET)
  • Summary for Public Release Template (Last Updated: 12/20/2018 01:30 PM ET)
  • Summary Slide Template (Last Updated: 12/20/2018 01:29 PM ET)
  • Business Assurances & Disclosures Form - Template (Last Updated: 12/20/2018 01:29 PM ET)
  • Business Assurances & Disclosures Form - Sample (Last Updated: 12/20/2018 01:29 PM ET)
  • U.S. Manufacturing Plan Template (Last Updated: 12/20/2018 01:35 PM ET)

Submission Deadlines

  • Full Application Submission Deadline: 12/19/2019 5:00 PM ET

DE-FOA-0001954: Solicitation on Topics Informing New Program Areas SBIR/STTR

This announcement is purposely broad in scope, and will cover a wide range of topics to encourage the submission of the most innovative and unconventional ideas in energy technology. The objective of this solicitation is to support high-risk R&D leading to the development of potentially disruptive new technologies across the full spectrum of energy applications. Topics under this FOA will explore new areas of technology development that, if successful, could establish new program areas for ARPA-E, or complement the current portfolio of ARPA-E programs.

Targeted Topics:

A. Extremely Durable Concretes and Cementitious Materials
CLOSED - FA Deadline passed 9:30 AM ET 2/26/19

B. Leveraging Innovations Supporting Nuclear Energy
CLOSED - FA Deadline passed 9:30 AM ET 2/26/19

C. Downhole Tools to Enable Enhanced Geothermal Systems
CLOSED - FA Deadline passed 9:30 AM ET 2/26/19

D. Reserved

E. Reserved

F: High Value Methane Pyrolysis
FA Deadline 9:30 AM ET 7/26/19

This announcement describes a research thrust entitled “High Value Methane Pyrolysis”. The purpose of this announcement is to (1) focus the attention of the scientific and technical community on specific areas of interest related to methane pyrolysis, (2) encourage dialogue amongst those interested in this area, and (3) provide a timetable for the submission of full applications.

Today, nearly all of hydrogen produced in the US, about 10 million tons per year, is derived from natural gas via steam methane reforming. Steam methane reforming offers the lowest factory gate cost of hydrogen, but also produces significant quantities of carbon dioxide (9-14 kg CO2/kg H2). Current options for producing hydrogen with little or no release of carbon dioxide include electrolysis of water to hydrogen and oxygen and steam methane reforming with CO2capture and sequestration. A third option is to split methane directly into hydrogen and elemental carbon at high temperatures, which is also known as methane pyrolysis or methane cracking.

In the context of hydrogen production on an energy‐relevant scale, the volumes of co‐produced carbon would be very large. For perspective, to produce the amount of hydrogen required to produce 1 quadrillion (1015) BTU (1 quad) of energy, over 22 million tons of carbon would be generated. Therefore, potential applications for the resulting carbon products at scale have to be on a correspondingly large scale. The carbon materials will need to have useful macroscopic properties with regard to thermal, electrical, and/or mechanical performance required by these applications.

ARPA‐E has identified an ongoing need to better understand the formation and control the production of specific, desirable carbon structures, in a methane pyrolysis process environment that is simultaneously suitable for the economical production of hydrogen at scale (> 10,000 tons/yr) with a low CO2 footprint.

Documents

  • DE-FOA-0001954 Modification 03 (Last Updated: 5/21/2019 05:08 PM ET)

Previous Versions

  • DE-FOA-0001954 Initial Announcement (Last Updated: 12/20/2018 01:47 PM ET)
  • DE-FOA-0001954 Modification 01 (Last Updated: 2/13/2019 03:39 PM ET)
  • DE-FOA-0001954 Modification 02 (Last Updated: 2/15/2019 02:30 PM ET)

Required Application Documents

Pursuant to the FOA, Applicants are required to submit the "Required Application Documents" with their Application. Incomplete applications will not be reviewed or considered.

View Template Application Documents

Full Application

  • Technical Volume Template_DE-FOA-0001954 (Last Updated: 2/8/2019 12:43 PM ET)
  • SF-424 (Last Updated: 12/20/2018 02:02 PM ET)
  • Budget Justification/ SF-424A Workbook (Last Updated: 12/20/2018 02:02 PM ET)
  • Budget Justification/ SF-424A Workbook Guidance (Last Updated: 12/20/2018 02:03 PM ET)
  • Summary for Public Release Template (Last Updated: 12/20/2018 02:03 PM ET)
  • Summary Slide Template (Last Updated: 12/20/2018 02:03 PM ET)
  • Business Assurances & Disclosures Form - Template (Last Updated: 12/20/2018 02:04 PM ET)
  • Business Assurances & Disclosures Form - Sample (Last Updated: 12/20/2018 02:04 PM ET)
  • U.S. Manufacturing Plan Template (Last Updated: 12/20/2018 02:04 PM ET)
  • SBIR - VCOC Certification (Last Updated: 12/20/2018 02:06 PM ET)

Submission Deadlines

  • Full Application Submission Deadline: 12/19/2019 5:00 PM ET

DE-FOA-0002051: Aerodynamic Turbines, Lighter and Afloat, With Nautical Technologies and Integrated Servo-Control (ATLANTIS)

The ATLANTIS Program seeks to develop new technical pathways for the design of economically competitive Floating Offshore Wind Turbines (FOWT). The program urges the application of Control Co-Design (CCD) methodologies that (1) bring together engineering disciplines to work concurrently, as opposed to sequentially, and (2) consider control-engineering principles from the start of the design process. By analyzing the numerous sub-system dynamic interactions that comprise the FOWTs, CCD methodologies can propose control solutions that enable optimal FOWT designs that are not achievable otherwise. Design optimization is defined here as the maximization of the specific swept-rotor-area per unit of total-mass (m2/kg) of the FOWT for a given power generation efficiency. The program offers a new Metric Space that quantifies this specific area per unit of mass and the air-to-electron power generation efficiency of the FOWT, and guides the research to navigate across LCOE (Levelized Cost of Energy) Pareto-optimal fronts. Projects in this program will cover three fundamental areas: (1) radically new FOWT designs with significantly lower mass/area, (2) a new generation of computer tools to facilitate control co-design of the FOWTs, and (3) generation of real-data from full and lab-scale experiments to validate the FOWT designs and computer tools. The program structure includes these three fundamental areas in two phases. Phase I, described by this document, is expected to cover the first two years with an anticipated $28M in funded projects. Based on the results achieved in this first phase, a second phase, subject to the availability of appropriated funds, is tentatively planned to be announced for another two years, with additional funds to continue the research in the three fundamental areas and with more emphasis on experimental testing. See Section II.B (Renewal Awards) of the FOA for further information applicable to Phase II funding.

Documents

  • ATLANTIS - FA FOA Mod 1 (Last Updated: 5/13/2019 11:47 AM ET)

Previous Versions

  • ATLANTIS DE-FOA-0002051 CP FOA (Last Updated: 1/31/2019 02:49 PM ET)

Required Application Documents

Pursuant to the FOA, Applicants are required to submit the "Required Application Documents" with their Application. Incomplete applications will not be reviewed or considered.

View Template Application Documents

Concept Paper

  • ATLANTIS Concept Paper Template (Last Updated: 1/31/2019 10:29 AM ET)
  • ATLANTIS Metric Space Workbook (Last Updated: 1/31/2019 10:29 AM ET)

Full Application

  • ATLANTIS - Technical Volume Template (Last Updated: 5/13/2019 11:14 AM ET)
  • ATLANTIS - Metric Space Workbook (Area 1 Only) (Last Updated: 5/13/2019 12:36 PM ET)
  • SF-424 (Last Updated: 5/13/2019 11:23 AM ET)
  • Budget Justification Workbook / SF-424A (Last Updated: 5/13/2019 11:15 AM ET)
  • Budget Justification Workbook / SF-424A Guidance (Last Updated: 5/13/2019 11:15 AM ET)
  • Business Assurances & Disclosures Form (Last Updated: 5/13/2019 11:24 AM ET)
  • Business Assurances & Disclosures Form - Sample (Last Updated: 5/13/2019 11:25 AM ET)
  • Summary Slide Template (Last Updated: 5/13/2019 11:16 AM ET)
  • Summary For Public Release Template (Last Updated: 5/13/2019 11:16 AM ET)
  • US Manufacturing Plan Template (Last Updated: 5/13/2019 11:23 AM ET)
  • Replies to Reviewer Comments Template (Last Updated: 5/13/2019 11:22 AM ET)

Contact Information

  • ExchangeHelp@hq.doe.gov 
    Please contact the email address above for questions regarding ARPA-E’s online application portal, ARPA-E eXCHANGE.
  • ARPA-E-CO@hq.doe.gov 
    Please contact the email address above for questions regarding Funding Opportunity Announcements. ARPA-E will post responses on a weekly basis to any questions that are received. ARPA-E may re-phrase questions or consolidate similar questions for administrative purposes.

Submission Deadlines

  • Concept Paper Submission Deadline: 3/18/2019 9:30 AM ET
  • Full Application Submission Deadline: 6/24/2019 9:30 AM ET
  • View Reviewer Comments Period: 8/6/2019 5:00 PM ET – 8/12/2019 5:00 PM ET

DE-FOA-0002107: Design Intelligence Fostering Formidable Energy Reduction and Enabling Novel Totally Impactful Advanced Technology Enhancements (DIFFERENTIATE)

The DIFFERENTIATE program seeks to enhance the pace of energy innovation by incorporating machine learning into energy technology development processes. By doing so, this program aims to enhance the productivity of energy engineers in helping them to develop next-generation energy technologies.

The DIFFERENTIATE program seeks to develop machine learning tools that:

  1. Enhance the creativity of the hypothesis generation (i.e. conceptual design) process by helping engineers develop new concepts and by enabling the consideration of a larger and more diverse set of design options during the hypothesis generation phase,
  2. Enhance the efficiency of the high-fidelity evaluation (i.e. detailed design) process by accelerating the high-fidelity analysis and optimization of the hypothesized solution, and
  3. To ultimately reduce (ideally eliminate) design iteration by developing the capability to execute “inverse design” processes in which the product design is effectively expressed as an explicit function of the problem statement.

In order to facilitate the achievement of the above-mentioned objective, ARPA-E is issuing this FOA to encourage teams consisting of mathematicians, operations research analysts, computer scientists, energy engineers, and others with applicable skills and experience to jointly work on developing the tools required to enhance the creativity and efficiency (i.e. productivity) of the energy technology design process.

Documents

  • DIFFERENTIATE DE-FOA-0002107 CP FOA (Last Updated: 4/4/2019 02:58 PM ET)

Required Application Documents

Pursuant to the FOA, Applicants are required to submit the "Required Application Documents" with their Application. Incomplete applications will not be reviewed or considered.

View Template Application Documents

Concept Paper

  • DIFFERENTIATE - Concept Paper Template (Last Updated: 4/4/2019 01:32 PM ET)

Contact Information

  • ExchangeHelp@hq.doe.gov 
    Please contact the email address above for questions regarding ARPA-E’s online application portal, ARPA-E eXCHANGE.
  • ARPA-E-CO@hq.doe.gov 
    Please contact the email address above for questions regarding Funding Opportunity Announcements. ARPA-E will post responses on a weekly basis to any questions that are received. ARPA-E may re-phrase questions or consolidate similar questions for administrative purposes.

Submission Deadlines

  • Concept Paper Submission Deadline: 5/20/2019 9:30 AM ET
  • Full Application Submission Deadline: TBD

DE-FOA-0002108: Design Intelligence Fostering Formidable Energy Reduction and Enabling Novel Totally Impactful Advanced Technology Enhancements (DIFFERENTIATE) (SBIR/STTR)

The DIFFERENTIATE program seeks to enhance the pace of energy innovation by incorporating machine learning into energy technology development processes. By doing so, this program aims to enhance the productivity of energy engineers in helping them to develop next-generation energy technologies.

The DIFFERENTIATE program seeks to develop machine learning tools that:

  1. Enhance the creativity of the hypothesis generation (i.e. conceptual design) process by helping engineers develop new concepts and by enabling the consideration of a larger and more diverse set of design options during the hypothesis generation phase,
  2. Enhance the efficiency of the high-fidelity evaluation (i.e. detailed design) process by accelerating the high-fidelity analysis and optimization of the hypothesized solution, and
  3. To ultimately reduce (ideally eliminate) design iteration by developing the capability to execute “inverse design” processes in which the product design is effectively expressed as an explicit function of the problem statement.

In order to facilitate the achievement of the above-mentioned objective, ARPA-E is issuing this FOA to encourage teams consisting of mathematicians, operations research analysts, computer scientists, energy engineers, and others with applicable skills and experience to jointly work on developing the tools required to enhance the creativity and efficiency (i.e. productivity) of the energy technology design process.

Documents

  • DIFFERENTIATE SBIR/STTR DE-FOA-0002108 CP FOA (Last Updated: 4/4/2019 03:00 PM ET)

Required Application Documents

Pursuant to the FOA, Applicants are required to submit the "Required Application Documents" with their Application. Incomplete applications will not be reviewed or considered.

View Template Application Documents

Concept Paper

  • DIFFERENTIATE SBIR/STTR - Concept Paper Template (Last Updated: 4/4/2019 01:34 PM ET)

Contact Information

  • ExchangeHelp@hq.doe.gov 
    Please contact the email address above for questions regarding ARPA-E’s online application portal, ARPA-E eXCHANGE.
  • ARPA-E-CO@hq.doe.gov 
    Please contact the email address above for questions regarding Funding Opportunity Announcements. ARPA-E will post responses on a weekly basis to any questions that are received. ARPA-E may re-phrase questions or consolidate similar questions for administrative purposes.

Submission Deadlines

  • Concept Paper Submission Deadline: 5/20/2019 9:30 AM ET
  • Full Application Submission Deadline: TBD

DE-FOA-0002120: Request for Information (RFI): Pre-pilot and pilot R&D projects to scale, mature, and advance ARPA-E funded technologies

SUMMARY:

ARPA-E is seeking information to help frame a potential new funding opportunity for public-private partnerships supporting the further refinement, scaling, and piloting of successful ARPA-E technologies. The potential program would collaborate with investors and private sector partners to advance promising technologies developed under ARPA-E awards (both prior and ongoing) to pre-pilot and pilot R&D projects. The projects would need to demonstrate scalability, reliability, and manufacturability. Success of these scale-up/pilot projects will establish the path forward to continued private sector development and deployment of these transformational technologies. In addition to the energy-related benefits, this development would establish a new manufacturing base for energy technologies in the U.S.

Through this RFI, ARPA-E seeks to:

  • Identify successful ARPA-E technologies that have established proof of concept and are ready for scaling R&D projects in manufacturability, reliability, etc. 
  • Identify the companies that propose to lead the next stage of development for these ARPA-E technologies. 
  • Gauge interest from potential investors and industry partners to support and participate in scale-up/pilot projects. 
  • Frame the structure and management for potential funding opportunities to support scale-up/pilot projects of ARPA-E technologies with investor and industry participation. 
  • Facilitate engagement between innovators and partners, specifically to make connections in advance of the ARPA-E Energy Innovation Summit in July 2019.

More detailed information follows on the background of the technology and competitiveness challenges ARPA-E seeks to address, the different groups of stakeholders ARPA-E hopes to engage, and the potential next steps for such a funding opportunity.

Please carefully review the REQUEST FOR INFORMATION DOCUMENT and GUIDELINES below. Please note, in particular, that the information you provide will be used by ARPA-E solely for program planning, without attribution. THIS IS A REQUEST FOR INFORMATION ONLY. THIS NOTICE DOES NOT CONSTITUTE A FUNDING OPPORTUNITY ANNOUNCEMENT (FOA). NO FOA EXISTS AT THIS TIME.

Responses to this RFI should be submitted in PDF format to the email address ARPA-E-RFI@hq.doe.gov by 5:00 PM Eastern Time on June 20, 2019.

Documents

  • RFI: Pre-pilot and pilot R&D projects to scale, mature, and advance ARPA-E funded technologies (Last Updated: 5/31/2019 01:41 PM ET)

Previous Versions

  • RFI: Pre-pilot and pilot R&D projects to scale, mature, and advance ARPA-E funded technologies (Last Updated: 4/4/2019 11:58 AM ET)

Submission Deadlines

  • Concept Paper Submission Deadline: TBD
  • Full Application Submission Deadline: TBD

DE-FOA-0002142: Request for Information (RFI) on Next Generation of Marine and Riverine Hydrokinetic Energy Systems

ARPA-E seeks input regarding the development of next-generation hydrokinetic energy converters, specifically tidal stream, riverine, and ocean current turbines, with significantly reduced operation and maintenance (O&M) costs, reduced installation costs, and optimized mass and efficiency. ARPA-E desires input from a broad range of disciplines and fields, including, but not limited to: developers of tidal, riverine, and/or ocean current energy systems, hydrodynamics, structural dynamics, controls engineering, design optimization, civil and environmental engineering, offshore and marine engineering, predictive maintenance, robotics, unmanned underwater vehicles, and others. Consistent with the agency’s mission, ARPA-E is seeking information regarding clearly disruptive, novel technologies, early in the research and development (R&D) cycle, and not integration strategies for existing technologies.

Please carefully review the REQUEST FOR INFORMATION GUIDELINES below, and note in particular: the information you provide will be used by ARPA-E solely for program planning, without attribution. THIS IS A REQUEST FOR INFORMATION ONLY. THIS NOTICE DOES NOT CONSTITUTE A FUNDING OPPORTUNITY ANNOUNCEMENT (FOA). NO FOA EXISTS AT THIS TIME. Respondents shall not include any information in their response to this RFI that might be considered proprietary or confidential.

Responses to this RFI should be submitted in PDF format to the email address ARPA-E-RFI@hq.doe.gov by 5:00 PM Eastern Time on July 19th 2019.

Documents

  • RFI on Next Generation of Marine and Riverine Hydrokinetic Energy Systems (Last Updated: 6/11/2019 01:21 PM ET)

Submission Deadlines

  • Concept Paper Submission Deadline: TBD
  • Full Application Submission Deadline: TBD