Technical Topic Area 2B - Dynamic Simulation and Advanced Process Control of Integrated Gasification Combined Cycle Power Plants

The summary for the Technical Topic Area 2B - Dynamic Simulation and Advanced Process Control of Integrated Gasification Combined Cycle Power Plants Federal Grant is detailed below. It contains information such as the Catalog of Federal Domestic Assistance (CFDA) number, who is eligible for the grant, how much grant money will be awarded, important deadlines, and a sampling of similar government grants. Verify the accuracy of the data FederalGrants.com provides by visiting the webpage noted in the Link to Full Announcement section or by contacting the appropriate person listed in the Grant Announcement Contact section. If these sections are incomplete, please visit the website of the government agency that is offering this grant.

	Federal Grant Title:	Technical Topic Area 2B - Dynamic Simulation and Advanced Process Control of Integrated Gasification Combined Cycle Power Plants
	CFDA Number:	81.057
	CFDA Description:	University Coal Research
	Federal Agency Name:	National Energy Technology Laboratory
	Category of Funding Activity:	Science and Technology Energy
	Category Explanation:	Information not provided
	Opportunity Category:	Discretionary
	Funding Opportunity Number:	DE-PS26-06NT42751-2B
	Document Type:	Grants Notice
	Funding Instrument Type:	Grant
	Posted Date:	Apr 24, 2006
	Creation Date:	Apr 24, 2006
	Original Closing Date for Applications:	Jun 14, 2006
	Current Closing Date for Applications:	Information not provided
	Archive Date:	Aug 24, 2006
	Expected Number of Awards:	Information not provided
	Estimated Total Program Funding:	Information not provided
	Federal Grant Award Ceiling:	Information not provided
	Federal Grant Award Floor:	Information not provided
	Cost Sharing or Matching Requirement:	Yes

Applicants Eligible for this Grant

Public and State controlled institutions of higher education Private institutions of higher education

Additional Information on Eligibility

Information not provided

Grant Description

NOTE: This descriptive area provides an overview of Technical Topic Area 2B only. YOU MUST READ THE FUNDING OPPORTUNITY ANNOUNCEMENT DOCUMENT FOR DETAILS ON ADDITIONAL INFORMATION, EVALUATION CRITERIA AND HOW TO PREPARE AN APPLICATION UNDER AN AREA OF INTEREST. Please scroll to the bottom of this page to access the Funding Opportunity Announcement. Dynamic Simulation and Advanced Process Control of Integrated Gasification Combined Cycle Power Plants (DE-PS26-06NT42751-2B) Integrated Gasification Combined Cycle (IGCC) systems continue to develop as the technology of choice for clean, efficient electric power generation, positioning them at the center of a vital energy industry in the 21st century. These emerging systems are complex, highly integrated, and require coordinated control to simultaneously satisfy production, controllability, operability, and environmental objectives. As a result, NETL is initiating research focused on the use of dynamic simulation for the development of Advanced Process Control (APC) strategies for optimizing the operation and control of complex IGCC plants. Successfully developed IGCC dynamic simulations are required to determine key equipment response times and to investigate interactions between major plant sections, including the air separation unit, gasifier, gas cleanup system, combined cycle, and heat recovery steam generator. The dynamic simulations will be exercised to predict the transient behavior of the IGCC plant during startup and shutdown, as well as subsequent to planned (e.g., loading, unloading) or unplanned (e.g., gasifier trip, gas turbine trip, steam turbine trip) disturbances of the steady-state operation. Applicants are encouraged to consider the Aspen Dynamics® and Aspen Custom Modeler® simulation software which fully leverages NETLs existing investment in Aspen Plus® power plant simulations and ensures consistency with physical properties, reaction kinetics, and steady-state models and results. Rigorous IGCC dynamic simulations are also needed to support development and evaluation of APC methodologies based on Model Predictive Control (MPC). At the core of MPC technology is a mathematical model of the process that is used to predict future process behavior. Using this predictive model the controller is able to calculate an optimum set of process control moves which minimize the error between actual and desired process behavior subject to process constraints. Since the late 1970s, MPC technology has performed reliably in the petrochemical and refining industries because of its ability to account for process interactions and constraints, thereby reducing process variability and driving the process closer to its limits. This solicitation seeks novel and emerging developments in MPC technology for use in IGCC power plant applications. MPC areas of interest include, but are not limited to dynamic matrix control, nonlinear advanced control, and real-time adaptive control. Control techniques not under consideration here include statistical process control, neural networks, and fuzzy logic control. Additional work is sought to develop and evaluate strategies for applying MPC solutions to various IGCC operating control modes. For the power production control, MPC strategies are required for driving the gasifier to satisfy load demands while meeting IGCC plant integration, performance, and environmental objectives. A related area of interest is the development and evaluation of advanced MPC strategies for IGCC-based polygeneration plants that must simultaneously satisfy power, hydrogen, chemical, and steam demands.

Link to Full Grant Announcement

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https://e-center.doe.gov/iips/faopor.nsf/UNID/8DF4C2608DA7A35F8525715A007169A4?OpenDocument

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Richard Rogus
james.cox@netl.doe.gov
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