Energy, Power, and Adaptive Systems
Apply to PD 13-7607 as follows:
For full proposals submitted via FastLane:
standard Grant Proposal Guidelines apply.
For full proposals submitted via Grants.gov:
NSF Grants.gov Application Guide; A Guide for the Preparation and Submission of NSF Applications via Grants.gov Guidelines apply
(Note: The NSF Grants.gov Application Guide is available on the Grants.gov website and on the NSF website at:
Supplement Deadline Date: April 1, 2014
April 1, Annually Thereafter
Full Proposal Window: October 1, 2014
November 3, 2014
October 1 - November 1, Annually Thereafter
These submission windows do not apply to workshop proposals, proposals for EArly-concept Grants for Exploratory Research (EAGER), or Rapid Response Grants (RAPID).
The Division deadline for Research Experiences for Undergraduates (REU) and Research Experience for Teachers (RET) Supplements is April 1st. Please note: The ECCS Division has established an $8,000.00 REU limit per student. Please contact your Program Director for further details.
The ECCS Division discourages multiple proposals by the same PI and/or co-PI within the same submission window.
The Energy, Power, and Adaptive Systems (EPAS) program invests in the design and analysis of intelligent and adaptive engineering networks, including sensing, imaging, controls, and computational technologies for a variety of application domains. EPAS places emphasis on electric power networks and grids, including generation, transmission and integration of renewable, sustainable and distributed energy systems; high power electronics and drives; and understanding of associated regulatory and economic structures. Topics of interest include alternate energy sources, the Smart Grid, and interdependencies of critical infrastructure in power and communications. The program also places emphasis on energy scavenging and alternative energy technologies, including solar cells, ocean waves, wind, and low-head hydro. In addition, the program supports innovative test beds, and laboratory and curriculum development to integrate research and education. EPAS invests in adaptive dynamic programming, brain-like networked architectures performing real-time learning, neuromorphic engineering, telerobotics, and systems theory. The program supports distributed control of multi-agent systems with embedded computation for sensor and adaptive networks. EPAS provides additional emphasis on emerging areas, such as quantum systems engineering, quantum and molecular modeling and simulation of devices and systems.
Proposals for the EPAS program may involve collaborative research to capture the breadth of expertise needed for such multidisciplinary integrative activities. ECCS will consider supporting a limited number of small team proposals of three or more Investigators from different disciplines and/or universities.
Areas of interest include:
- Control Theory and Hybrid Dynamical Systems
- Distributed and Mobile Networked Control
- Networked Sensing and Imaging Systems
- Control Aspects of Cyber-Physical Systems
- Cyber Secure Control of Power Systems
- Systems Theory in Molecular, Cellular, and Synthetic Biology
- Networked Robotics and Transportation Networks
- Energy Collection and Harvesting Devices and Systems
- Energy Storage
- Advanced Power Electronics
- Electric Grid Interfaces
- Electric and Hybrid Vehicles
- Energy/Power Sensing
- Local Distributed Power Systems
- Adaptive and Intelligent Systems
- Transmission and Distribution Systems
- Intelligent Power Grid and Economics
- Quantum Systems and Modeling
- Theory and Modeling for Systems and Devices
- Neuromorphic Engineering
- Cognitive Optimization and Prediction
- Intelligent Vehicles
- Learning and Intelligence for Robotics
What Has Been Funded (Recent Awards Made Through This Program, with Abstracts)
Map of Recent Awards Made Through This Program