Opportunity Information: Apply for PD 13 7607

  • The National Science Foundation in the science and technology and other research and development sector is offering a public funding opportunity titled "Energy, Power, Control and Networks" and is now available to receive applicants.
  • Interested and eligible applicants and submit their applications by referencing the CFDA number(s): 47.041 Engineering Grants.
  • This funding opportunity was created on Mar 6, 2015 and posted on Aug 15, 2012.
  • Applicants must submit their applications by Nov 2, 2015 REU/RET Supplement REU/RET Supplements. (Agency may still review applications by suitable applicants for the remaining/unused allocated funding in 2026.)
  • 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 PD 13 7607

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Opportunity Summary:

The National Science Foundation (NSF) Energy, Power, Control and Networks (EPCN) program is a discretionary grant opportunity in the science and technology research and development category (CFDA 47.041, Engineering Grants). It is designed to support research that advances the analysis, modeling, and design of modern cyber-physical systems, especially those where communication, computation, and sensing are tightly coupled with physical processes. The central goal is to develop systems and control methods that make these complex, interconnected systems stable, high-performing, robust to disturbances and failures, and secure against threats. In practical terms, EPCN is looking for work that helps engineered systems behave reliably in the real world even when conditions are uncertain, components fail, networks introduce delays, or adversaries attempt to disrupt operations.

A major theme of the program is control and decision-making in networked settings. This includes modeling and control of networked multi-agent systems (many interacting devices or subsystems), optimization and dynamic resource allocation (deciding how to distribute limited resources in real time), and higher-level decision frameworks that coordinate actions across a large system. The program explicitly highlights research that addresses uncertainty and risk management, including stochastic disturbances and subsystem failures, which is a common reality in critical infrastructure systems. EPCN also encourages approaches that blend traditional systems theory with learning-based methods, including adaptive dynamic programming, real-time learning architectures inspired by the brain, neural networks for adaptive and intelligent control, and neuromorphic engineering concepts that aim to compute efficiently while learning online.

While EPCN is broadly about cyber-physical systems across areas like energy, transportation, and nanotechnology, it places especially strong emphasis on electric power and energy systems. Relevant topics span the full power-system stack: generation, transmission, and storage; integration of renewable resources; and the control and optimization challenges created by variable energy supply and changing demand. The program calls out power electronics and drives, battery management systems, and technologies tied to hybrid and electric vehicles, including how vehicles and charging infrastructure interact with the grid. Importantly, EPCN is not limited to purely technical power engineering; it also values research that examines the interplay between power systems and regulatory structures, economic incentives, and consumer behavior, recognizing that grid performance and reliability are shaped by markets, policy rules, and how people and organizations respond to price signals and programs.

Another focus area is the interdependence of energy systems with other critical infrastructures, which reflects the reality that power networks rely on communications, transportation, and other systems, and disruptions can cascade across sectors. Closely related is interest in monitoring, protection, and cybersecurity of the power grid, where research might address resilient sensing and state estimation, anomaly detection, secure control, and protection schemes that can withstand both random failures and malicious actions. EPCN also includes interest in energy harvesting and alternative energy technologies, explicitly mentioning solar, wind, and hydrokinetic energy, along with broader energy scavenging concepts and the devices and systems needed to store and manage harvested energy.

Beyond research results, the program supports enabling infrastructure and educational integration. That includes innovative tools, platforms, and test beds that allow new theories and algorithms to be validated under realistic conditions, as well as curriculum development that tightly connects research and education. On team structure, EPCN accepts single-investigator proposals but actively encourages cross-disciplinary and collaborative proposals that combine complementary expertise. NSF notes that it may support a limited number of small team proposals with three or more investigators from different disciplines and/or institutions, reflecting the multidisciplinary nature of modern cyber-physical energy and control problems.

Administratively, the opportunity is offered as a grant with no cost sharing or matching requirement, and eligibility is broadly unrestricted (open to any type of entity, subject to any specific eligibility clarifications in the full announcement). The program sits within NSF, and the provided listing references posting and closing dates associated with the announcement and later supplement timing (including REU/RET supplement references), indicating that the opportunity has supported both core research awards and educational supplements over time. For access or technical issues with the announcement, NSF directs applicants to Grants.gov support through the provided contact channel.

Frequently Asked Questions (FAQ) - NSF Energy, Power, Control and Networks (EPCN)

1) What is the NSF Energy, Power, Control and Networks (EPCN) program?

The NSF Energy, Power, Control and Networks (EPCN) program is a discretionary NSF grant opportunity (CFDA 47.041, Engineering Grants) in the science and technology research and development category. It supports research that advances the analysis, modeling, and design of modern cyber-physical systems, with a strong emphasis on systems where communication, computation, and sensing are tightly coupled with physical processes.

2) What types of research does EPCN aim to support?

EPCN aims to support research that develops systems and control methods to make complex, interconnected engineered systems stable, high-performing, robust to disturbances and failures, and secure against threats. The program is focused on improving real-world reliability under uncertainty, component failures, network delays, and adversarial disruption.

3) What is meant by "cyber-physical systems" in this program context?

In the EPCN context, cyber-physical systems are engineered systems where computational and communication elements (cyber) interact closely with physical processes. EPCN particularly targets settings where sensing, computation, and communication are tightly integrated with physical dynamics and control.

4) What are the key technical themes emphasized by EPCN?

A major theme is control and decision-making in networked settings. This includes modeling and control of networked multi-agent systems, optimization and dynamic resource allocation, and higher-level decision frameworks that coordinate actions across large systems.

5) Does EPCN prioritize work involving uncertainty, risk, and failures?

Yes. EPCN explicitly highlights research addressing uncertainty and risk management, including stochastic disturbances and subsystem failures. These factors are treated as common realities in critical infrastructure and other complex engineered systems.

6) Are learning-based or AI-inspired control methods relevant to EPCN?

Yes. EPCN encourages approaches that blend traditional systems theory with learning-based methods. Examples mentioned include adaptive dynamic programming, real-time learning architectures inspired by the brain, neural networks for adaptive and intelligent control, and neuromorphic engineering concepts aimed at efficient computation with online learning.

7) Is EPCN limited to electric power systems only?

No. EPCN is broadly about cyber-physical systems across multiple areas (including energy, transportation, and nanotechnology). However, it places especially strong emphasis on electric power and energy systems.

8) Which parts of the electric power system are within EPCN scope?

EPCN topics span the full power-system stack, including generation, transmission, and storage; integration of renewable resources; and the control and optimization challenges created by variable supply and changing demand.

9) Does EPCN include research related to power electronics and drives?

Yes. The program specifically calls out power electronics and drives as relevant topics.

10) Are battery management systems included in the EPCN topic areas?

Yes. Battery management systems are explicitly mentioned as relevant to EPCN.

11) Does EPCN support research connected to hybrid and electric vehicles?

Yes. EPCN references technologies tied to hybrid and electric vehicles, including how vehicles and charging infrastructure interact with the grid.

12) Is research on renewable energy integration considered responsive?

Yes. EPCN explicitly includes integration of renewable resources and discusses challenges created by variable energy supply and changing demand. It also mentions alternative energy technologies such as solar, wind, and hydrokinetic energy.

13) Does EPCN support work on energy harvesting or energy scavenging?

Yes. EPCN includes interest in energy harvesting and alternative energy technologies, including solar, wind, and hydrokinetic energy, along with broader energy scavenging concepts and the devices and systems needed to store and manage harvested energy.

14) Is cybersecurity within the scope of EPCN?

Yes. EPCN expresses interest in monitoring, protection, and cybersecurity of the power grid. Example areas include resilient sensing and state estimation, anomaly detection, secure control, and protection schemes that can withstand random failures and malicious actions.

15) Does EPCN consider interdependence between energy systems and other infrastructures?

Yes. Another focus area is the interdependence of energy systems with other critical infrastructures such as communications and transportation, including the potential for disruptions to cascade across sectors.

16) Are non-technical factors like policy, markets, and consumer behavior relevant to EPCN?

Yes. EPCN is not limited to purely technical power engineering. It values research examining the interplay between power systems and regulatory structures, economic incentives, and consumer behavior, recognizing that grid performance and reliability are influenced by markets, policy rules, and responses to price signals and programs.

17) Does EPCN support development of test beds or platforms?

Yes. Beyond research results, EPCN supports enabling infrastructure such as innovative tools, platforms, and test beds that help validate theories and algorithms under realistic conditions.

18) Does EPCN support educational integration or curriculum development?

Yes. EPCN includes educational integration, including curriculum development that tightly connects research and education.

19) Can a single investigator submit an EPCN proposal?

Yes. EPCN accepts single-investigator proposals.

20) Are collaborative or cross-disciplinary proposals encouraged?

Yes. EPCN actively encourages cross-disciplinary and collaborative proposals that combine complementary expertise.

21) Are there specific expectations for team size or composition?

The program notes it may support a limited number of small team proposals with three or more investigators from different disciplines and/or institutions, reflecting the multidisciplinary nature of modern cyber-physical energy and control problems.

22) What type of funding instrument is used for this opportunity?

The opportunity is offered as a grant.

23) Is cost sharing or matching required for EPCN?

No. The opportunity states there is no cost sharing or matching requirement.

24) Who is eligible to apply?

Eligibility is described as broadly unrestricted (open to any type of entity), subject to any specific eligibility clarifications in the full announcement.

25) Which agency runs the EPCN program?

The program sits within the National Science Foundation (NSF).

26) What is the CFDA number associated with this program listing?

The listing references CFDA 47.041 (Engineering Grants).

27) Are supplements (such as REU/RET) mentioned in relation to this opportunity?

Yes. The provided listing references posting and closing dates associated with the announcement and later supplement timing, including references to REU/RET supplements, indicating the opportunity has supported both core research awards and educational supplements over time.

28) Where should applicants go for technical issues accessing the announcement?

For access or technical issues with the announcement, NSF directs applicants to Grants.gov support through the provided contact channel.

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