Advanced Computational and Modeling Research for the Electric Power System

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Synopsis

Full Announcement

Application

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The synopsis for this grant opportunity is detailed below, following this paragraph. This synopsis contains all of the updates to this document that have been posted as of 05/22/2012 . If updates have been made to the opportunity synopsis, update information is provided below the synopsis.

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Document Type:	Grants Notice
Funding Opportunity Number:	DE-FOA-0000729
Opportunity Category:	Discretionary
Posted Date:	May 22, 2012
Creation Date:	May 22, 2012
Original Closing Date for Applications:	Jul 05, 2012
Current Closing Date for Applications:	Jul 05, 2012
Archive Date:	Sep 30, 2012
Funding Instrument Type:	Cooperative Agreement
Category of Funding Activity:	Energy
Category Explanation:
Expected Number of Awards:	6
Estimated Total Program Funding:	$6,600,000
Award Ceiling:	$1,500,000
Award Floor:	$0
CFDA Number(s):	81.122  --  Electricity Delivery and Energy Reliability, Research, Development and Analysis
Cost Sharing or Matching Requirement:	Yes

Eligible Applicants

Unrestricted (i.e., open to any type of entity above), subject to any clarification in text field entitled "Additional Information on Eligibility"
 

Additional Information on Eligibility:

Other Federal agencies, DOE/NNSA National Laboratory Contractors, and non-DOE Federally Funded Research and Development Centers (FFRDCs) are eligible to apply only as a subrecipient/subcontractor and their effort, in aggregate, shall not exceed 25% of the total estimated cost of the project. 

Agency Name

National Energy Technology Laboratory

Description

The objective of this Funding Opportunity Announcement (FOA) is to leverage scientific advancements in mathematics and computation for application to power system models and software tools, with the long-term goal of enabling real-time protection and control based on wide-area sensor measurements. Specifically, this FOA focuses on two foundational research challenges: 1) handling of large data sets to improve suitability for operational (and/or planning) models and analysis; and 2) ?faster than real-time? simulations that improve understanding of system dynamics to help guide operational decision-making. 

Link to Additional Information

Fedconnect

If you have difficulty accessing the full announcement electronically, please contact:

Jacqulyn M. Wilson, Contract Specialist, 304-285-4135
DE-FOA0000729@netl.doe.gov
DOE Point of Contact for Questions

Synopsis Modification History

There are currently no modifications for this opportunity.