Opportunity Information: Apply for DE FOA 0000518

  • The National Energy Technology Laboratory in the science and technology and other research and development sector is offering a public funding opportunity titled "Advanced Fossil Energy Research Novel Developments in Sensors and Controls for Fossil Energy Power Generation and Fuel Production Technologies" and is now available to receive applicants.
  • Interested and eligible applicants and submit their applications by referencing the CFDA number(s): 81.089 Fossil Energy Research and Development.
  • This funding opportunity was created on Apr 5, 2011 and posted on Apr 4, 2011.
  • Applicants must submit their applications by May 16, 2011. (Agency may still review applications by suitable applicants for the remaining/unused allocated funding in 2026.)
  • The funding agency has allocated a total of $4,500,000.00 to eligible and selected applicants.
  • The number of recipients for this funding is limited to 4 candidate(s).
  • Eligible applicants include: Unrestricted (i.e., open to any type of entity above), subject to any clarification in text field entitled Additional Information on Eligibility.
Apply for DE FOA 0000518

[Watch] Creating a grant proposal using the step-by-step wizard inside the applicant portal:

Opportunity Summary:

The Department of Energy's National Energy Technology Laboratory (NETL) released this funding opportunity to push forward new sensors and control technologies that can make fossil energy power generation and fuel production cleaner, more efficient, and more reliable. The program sits inside NETL's Advanced Research (AR) portfolio, which is meant to bridge the space between basic science and practical engineering so that promising concepts can move toward full-scale implementation in next-generation power systems or upgrades to existing plants. NETL frames the need around a few major realities: higher efficiency and carbon management strategies tend to drive plants into harsher operating regimes (higher temperatures and pressures, more corrosive and reactive environments), plants must run with very high reliability to be cost-effective, and modern plants are becoming more complex to operate and optimize as integrated systems. In short, the FOA is asking for research that helps plants sense what is happening in extreme conditions, understand equipment health before failures occur, and intelligently manage a flood of measurement data so operators and control systems can make better real-time decisions.

The opportunity is structured around three technical topic areas, and applicants are required to choose only one topic per application (though the same organization may submit multiple applications, and teaming is allowed within an application). Across all topics, NETL is explicitly looking for novel, high-impact approaches rather than incremental tweaks to standard industrial practices. The work is intended to support advanced combustion, gasification, turbines, gas cleaning and separation, carbon capture, and even systems that co-produce synthetic fuels from coal or other domestic resources. The central theme is that these advanced systems create new sensing and controls challenges that current instrumentation and control philosophies do not adequately solve.

Topic Area A focuses on decision-based algorithms for heterogeneous sensor networks. NETL is interested in sensor networks that may include tens to thousands of sensors and nodes, potentially wired or wireless, measuring variables like pressure, temperature, flow, strain, gas composition, levels (such as tank or silo levels), and equipment condition indicators (like rotating equipment speed). The key idea is that as sensor counts rise, individual measurements become less valuable on their own, and what matters more is extracting actionable information from the network as a whole. Projects under this topic are expected to develop computational techniques that can fuse data from many different sensor types, allow the network to self-organize, and enable "cognitive" or decision-oriented computation at the network level so the system can recommend actions to control or optimize a process. NETL draws an analogy to robotics decision-making, but emphasizes that power plant physics and time scales must drive the approach. Importantly, NETL is not looking for small systems with fewer than 10 inputs, and it is not looking for extensions of traditional PID control; it wants scalable, network-level decision methods, potentially using models, heuristics, or other emerging algorithmic approaches that address complexity directly.

Topic Area B targets novel materials, coatings, and embedded sensing designs for online, in situ assessment of components and processes. NETL notes that while the program has historically supported harsh-environment sensor survivability, relatively few concepts have matured into truly embedded sensors or smart materials that can function as part of the component itself. Under this topic, NETL is inviting concepts ranging from biomimetic or biologically activated approaches to high-temperature metamaterials, chemically or thermally activated coatings, and optical materials. The goal is real-time, online health or process assessment using embedded sensors or smart materials that can indicate or measure strain, temperature, flow, composition, and pressure. Strong proposals would think through practical performance requirements such as selectivity, accuracy, response time, recovery time, and lifetime in service, because the end use is demanding and industrial. NETL is especially interested in approaches that can be interrogated remotely or operate wirelessly. On the other hand, approaches that require a conventional probe design, or that cannot realistically be applied in central industrial power production systems, are considered out of scope.

Topic Area C emphasizes real-time sensor networks capable of multi-dimensional (3D) reconstruction of reacting systems and operating components. Here NETL is looking for dense networks (again, potentially tens to thousands of sensors) distributed through a volume or component so that the collected data can be used to reconstruct internal states in a way that resembles the 3D visualizations engineers typically get from Computational Fluid Dynamics (CFD) and Finite Element Analysis (FEA). Example targets include mapping temperature, pressure, or deformation inside turbine blades; cross-sectional or volumetric reconstruction of single- or multiphase flows in a gasifier or combustor; volumetric mapping of gas species inside a gasifier; or 3D reconstruction of a combustion flame. A core requirement is that the reconstruction is built on sensor coverage that can represent an entire cross-sectional volume relevant to industrial components, rather than extrapolating from a few single-point measurements. NETL also expects proposals to incorporate self-organizing features that account for spatiotemporal relationships in the observed phenomena, reinforcing that this is about intelligent, real-time field reconstruction rather than offline diagnostics.

From an administrative and funding standpoint, the FOA (DE-FOA-0000518) was issued by NETL as a discretionary opportunity using cooperative agreements, meaning the government typically anticipates substantial involvement during the project rather than a hands-off grant. The total estimated funding was $4.5 million with an expectation of about four awards, and cost sharing was required. Eligibility was listed as unrestricted, meaning a wide range of entities could apply (universities, companies, labs, nonprofits), subject to any specific clarifications in the full announcement. The posting date was April 4, 2011, with an application deadline of May 16, 2011, and the opportunity was later archived. The overall message is that NETL wanted ambitious, bench-demonstrable advances in sensing, sensor networking, and intelligent control that could help advanced fossil energy systems operate safely, efficiently, and with near-zero emissions under harsh, highly dynamic real-world conditions.

Funding Opportunity FAQs (DOE NETL FOA DE-FOA-0000518)

1) What is this funding opportunity trying to accomplish?

This Department of Energy (DOE) National Energy Technology Laboratory (NETL) funding opportunity is focused on advancing new sensors and control technologies that help fossil energy power generation and fuel production operate more cleanly, efficiently, and reliably. The emphasis is on sensing and control approaches that can function in harsh operating environments and support better real-time decisions in complex, integrated plants.

2) Which NETL program area does this fall under?

The opportunity sits within NETL's Advanced Research (AR) portfolio. AR is intended to bridge the gap between basic science and practical engineering, helping promising concepts move toward full-scale implementation either in next-generation power systems or as upgrades to existing plants.

3) Why is NETL emphasizing new sensing and controls for advanced fossil systems?

NETL frames the need around several realities: higher efficiency and carbon management strategies can push plants into harsher operating regimes (higher temperatures and pressures, more corrosive/reactive conditions); plants must run with very high reliability to be cost-effective; and modern plants are increasingly complex to operate and optimize as integrated systems. The FOA seeks research that improves visibility into extreme-condition processes, anticipates equipment health issues before failures, and manages very large volumes of measurement data so operators and control systems can act effectively in real time.

4) What kinds of energy systems and processes are in scope?

The FOA is aimed at sensing and control challenges relevant to advanced combustion, gasification, turbines, gas cleaning and separation, carbon capture, and systems that co-produce synthetic fuels from coal or other domestic resources. The common thread is that advanced fossil energy systems create sensing and controls challenges that existing instrumentation and control philosophies do not adequately address.

5) How is the opportunity organized technically?

The FOA is structured around three technical topic areas: (A) decision-based algorithms for heterogeneous sensor networks, (B) novel materials/coatings and embedded sensing designs for online in situ assessment, and (C) real-time sensor networks for multi-dimensional (3D) reconstruction of reacting systems and operating components.

6) Can an application cover more than one topic area?

No. Applicants are required to choose only one technical topic area per application. However, the same organization may submit multiple applications, and teaming is allowed within an application.

7) Is NETL looking for incremental improvements to existing industrial approaches?

No. NETL explicitly states it is looking for novel, high-impact approaches rather than incremental tweaks to standard industrial practices.

8) What is Topic Area A about?

Topic Area A focuses on decision-based algorithms for heterogeneous sensor networks. The goal is to develop computational techniques that fuse data from many sensor types, enable self-organization, and support network-level, decision-oriented computation so the system can recommend actions to control or optimize a process.

9) What scale of sensor networks does Topic Area A anticipate?

NETL describes networks that may include tens to thousands of sensors and nodes, potentially wired or wireless.

10) What kinds of measurements are relevant under Topic Area A?

Example variables include pressure, temperature, flow, strain, gas composition, levels (such as tank or silo levels), and equipment condition indicators (such as rotating equipment speed).

11) What does NETL mean by decision-based or cognitive computation in Topic Area A?

The FOA emphasizes that as sensor counts rise, single measurements are less valuable on their own. What matters is extracting actionable information from the network as a whole. NETL is interested in approaches where the network can organize and interpret multi-sensor data to support control or optimization decisions, drawing an analogy to robotics decision-making while stressing that power plant physics and time scales must drive the approach.

12) What is explicitly discouraged or out of scope in Topic Area A?

NETL is not looking for small systems with fewer than 10 inputs. NETL also states it is not looking for extensions of traditional PID control. The topic is intended for scalable, network-level decision methods that address complexity directly.

13) What is Topic Area B about?

Topic Area B targets novel materials, coatings, and embedded sensing designs for online, in situ assessment of components and processes. NETL notes that while harsh-environment sensor survivability has been supported historically, fewer concepts have matured into embedded sensors or smart materials that function as part of the component itself.

14) What kinds of concepts are mentioned as examples in Topic Area B?

NETL invites concepts ranging from biomimetic or biologically activated approaches to high-temperature metamaterials, chemically or thermally activated coatings, optical materials, and other embedded/smart material approaches.

15) What types of parameters should Topic Area B approaches be able to assess?

The FOA highlights real-time, online health or process assessment and mentions potential indicators or measurements such as strain, temperature, flow, composition, and pressure.

16) What practical performance requirements does NETL expect Topic Area B proposals to consider?

NETL indicates strong proposals should think through industrially demanding requirements such as selectivity, accuracy, response time, recovery time, and lifetime in service.

17) Does Topic Area B prioritize wireless or remote interrogation?

Yes. NETL is especially interested in approaches that can be interrogated remotely or operate wirelessly.

18) What is out of scope for Topic Area B?

Approaches that require a conventional probe design, or that cannot realistically be applied in central industrial power production systems, are described as out of scope.

19) What is Topic Area C about?

Topic Area C emphasizes real-time sensor networks capable of multi-dimensional (3D) reconstruction of reacting systems and operating components. The intent is to use dense sensor coverage to reconstruct internal states in a way that resembles the 3D visualizations produced by Computational Fluid Dynamics (CFD) and Finite Element Analysis (FEA), but based on real-time measurements.

20) What kinds of reconstructions are examples under Topic Area C?

Examples include mapping temperature, pressure, or deformation inside turbine blades; cross-sectional or volumetric reconstruction of single- or multiphase flows in a gasifier or combustor; volumetric mapping of gas species inside a gasifier; and 3D reconstruction of a combustion flame.

21) What sensor coverage expectation does NETL state for Topic Area C?

A core requirement is that reconstruction is built on sensor coverage capable of representing an entire cross-sectional volume relevant to industrial components, rather than extrapolating from a few single-point measurements.

22) Does Topic Area C require intelligent or self-organizing behavior?

Yes. NETL expects proposals to incorporate self-organizing features that account for spatiotemporal relationships in the observed phenomena, reinforcing the focus on intelligent, real-time field reconstruction rather than offline diagnostics.

23) What type of award instrument is used for this FOA?

NETL issued this as a discretionary opportunity using cooperative agreements. This implies the government typically anticipates substantial involvement during the project rather than a hands-off grant structure.

24) What was the estimated total funding and expected number of awards?

The total estimated funding was $4.5 million, with an expectation of about four awards.

25) Is cost sharing required?

Yes. The FOA states that cost sharing was required.

26) Who was eligible to apply?

Eligibility was listed as unrestricted, meaning a wide range of entities could apply (such as universities, companies, laboratories, and nonprofits), subject to any specific clarifications in the full announcement.

27) What is the FOA number and who issued it?

The FOA number is DE-FOA-0000518, and it was issued by DOE's National Energy Technology Laboratory (NETL).

28) What were the posting date and application deadline?

The posting date was April 4, 2011, and the application deadline was May 16, 2011.

29) What is the current status of this opportunity?

The opportunity was later archived.

30) What level of maturity or demonstration is NETL signaling it wants?

The FOA message emphasizes ambitious, bench-demonstrable advances in sensing, sensor networking, and intelligent control that could help advanced fossil energy systems operate safely, efficiently, and with near-zero emissions under harsh, highly dynamic real-world conditions.

Browse more business programs for Power Generation Companies

Browse more opportunities from the same agency: National Energy Technology Laboratory

Browse more opportunities from the same category: Science and Technology and other Research and Development

Next opportunity: FY 2011 Funding Opportunity Announcement for NGO programs benefiting Afghan refugees in Pakistan

Previous opportunity: Circles of Care V Infrastructure Development for Children s Mental Health Systems in American Indian/Alaska Native (AI/AN) Communities

USGrants.org Applicant Portal:

Are you interested in learning about about how to apply for this government funding opportunity? You can create a free applicant account and receive instant access to our applicant portal that many business owners like you have benefited from.

Apply for DE FOA 0000518

 

[Watch] how do funding administrators access proposals?

Applicants also applied for:

Applicants who have applied for this opportunity (DE FOA 0000518) also looked into and applied for these:

Funding Opportunity
EONS 2011 Summer 2011 Minority Student Education Forum Apply for NNH11ZHA002C MSEF

Funding Number: NNH11ZHA002C MSEF
Agency: NASA Headquarters
Category: Science and Technology and other Research and Development
Funding Amount: Case Dependent
DoD FY11 Gulf War Illness Clinical Trial Award Apply for W81XWH 11 GWIRP CTA

Funding Number: W81XWH 11 GWIRP CTA
Agency: Dept. of the Army USAMRAA
Category: Science and Technology and other Research and Development
Funding Amount: Case Dependent
DoD FY11 Gulf War Illness Innovative Treatment Evaluation Award Apply for W81XWH 11 GWIRP ITEA

Funding Number: W81XWH 11 GWIRP ITEA
Agency: Dept. of the Army USAMRAA
Category: Science and Technology and other Research and Development
Funding Amount: Case Dependent
DoD FY11 Prostate Cancer Research Program Laboratory Clinical Transition Award Apply for W81XWH 11 PCRP LCTA

Funding Number: W81XWH 11 PCRP LCTA
Agency: Dept. of the Army USAMRAA
Category: Science and Technology and other Research and Development
Funding Amount: Case Dependent
DoD Spinal Cord Injury Clinical Trial Award Rehabilitation Apply for W81XWH 11 SCIRP CTA R

Funding Number: W81XWH 11 SCIRP CTA R
Agency: Dept. of the Army USAMRAA
Category: Science and Technology and other Research and Development
Funding Amount: Case Dependent
EarthCube: Apply for 16 514

Funding Number: 16 514
Agency: NSF
Category: Science and Technology and other Research and Development
Funding Amount: Case Dependent
Systems Biology Enabled Research on the Roles of Microbial Communities in Carbon Cycle Processes Apply for DE FOA 0001458

Funding Number: DE FOA 0001458
Agency: PAMS-SC
Category: Science and Technology and other Research and Development
Funding Amount: $1,250,000
Earth System Modeling Apply for DE FOA 0001482

Funding Number: DE FOA 0001482
Agency: PAMS-SC
Category: Science and Technology and other Research and Development
Funding Amount: $350,000
Condensed Matter and Materials Theory Apply for PD 09 1765

Funding Number: PD 09 1765
Agency: NSF
Category: Science and Technology and other Research and Development
Funding Amount: Case Dependent
ROSES 2015: Land-Cover/Land-Use Change Apply for NNH15ZDA001N LCLUC

Funding Number: NNH15ZDA001N LCLUC
Agency: NASA-HQ
Category: Science and Technology and other Research and Development
Funding Amount: Case Dependent
Critical Resilient Interdependent Infrastructure Systems and Processes Apply for 16 519

Funding Number: 16 519
Agency: NSF
Category: Science and Technology and other Research and Development
Funding Amount: Case Dependent
SBIR/STTR FY 2016 Phase II Release 1 Apply for DE FOA 0001405

Funding Number: DE FOA 0001405
Agency: PAMS-SC
Category: Science and Technology and other Research and Development
Funding Amount: $1,510,000
Engineering for Natural Hazards Apply for PD 16 014Y

Funding Number: PD 16 014Y
Agency: NSF
Category: Science and Technology and other Research and Development
Funding Amount: Case Dependent
Desalination and Water Purification Research and Development (DWPR) Fiscal Year 2016 Research Apply for R16 FOA DO 009

Funding Number: R16 FOA DO 009
Agency: DOI-BOR
Category: Science and Technology and other Research and Development
Funding Amount: $150,000
Service, Manufacturing and Operations Research Apply for PD 16 006Y

Funding Number: PD 16 006Y
Agency: NSF
Category: Science and Technology and other Research and Development
Funding Amount: Case Dependent
Medical Countermeasure Systems Broad Agency Announcement Apply for MCS BAA 15 01

Funding Number: MCS BAA 15 01
Agency: DOD-AMC-ACCAPGD
Category: Science and Technology and other Research and Development
Funding Amount: Case Dependent
Reverse Osmosis Concentrate Management through Halophyte Farming Apply for R16 NOI DO 006

Funding Number: R16 NOI DO 006
Agency: DOI-BOR
Category: Science and Technology and other Research and Development
Funding Amount: $75,000
Manufacturing Innovation Institutes Apply for RFI AFRL RQKM 2016 0009

Funding Number: RFI AFRL RQKM 2016 0009
Agency: DOD-AFRL
Category: Science and Technology and other Research and Development
Funding Amount: Case Dependent
Cooperative Ecosystem Studies Unit, Colorado Plateau CESU Apply for G16AS00015

Funding Number: G16AS00015
Agency: DOI-USGS1
Category: Science and Technology and other Research and Development
Funding Amount: Case Dependent
Cooperative Ecosystem Studies Unit, Rocky Mountain CESU Apply for G16AS00012

Funding Number: G16AS00012
Agency: DOI-USGS1
Category: Science and Technology and other Research and Development
Funding Amount: Case Dependent

 

Grant application guides and resources

It is always free to apply for government grants. However the process may be very complex depending on the funding opportunity you are applying for. Let us help you!

Apply for Grants

 

USGrants.org applicant portal membership

 

Premium leads for funding administrators, grant writers, and loan issuers

Thousands of people visit our website for their funding needs every day. When a user creates a grant proposal and files for submission, we pass the information on to funding administrators, grant writers, and government loan issuers.

If you manage government grant programs, provide grant writing services, or issue personal or government loans, we can help you reach your audience.

Subscribe to Leads

 

Request more information:

Would you like to learn more about this funding opportunity, similar opportunities to "DE FOA 0000518", eligibility, application service, and/or application tips? Submit an inquiry below:

Don't forget to subscribe to our grant alerts mailing list to receive weekly alerts on new and updated grant funding opportunities like this one in your email.