Sensors and Controls (Engineering of Complex Systems)

 

Components and information flow<br/>in a federated model architecture
Components and information flow
in a federated model architecture
Performer: 
Ames National Laboratory
Website:  Ames National Laboratory
Award Number:  FWP-AL-14-450-011
Project Duration:  10/01/2014 – 09/30/2017
Total Award Value:  $950,000
DOE Share:  $950,000
Performer Share:  $0
Technology Area:  Coal Utilization Science
Key Technology:  Sensors & Controls
Location:  Ames, IA

Project Description

NETL is partnering with Ames National Laboratory to develop the framework and tools needed to create the holistic, complex models that enable policy, engineering, and operational decisions to be made for complex energy systems. Specifically, this project is focused on (1) the development of federated model sets as a decentralized approach to coordinating the exchange of information between these independently developed autonomous models and (2) interactive user tools that support assembly, decision making, exploration, design, engineering, and other critical tasks with these federated model sets.

This project seeks to develop a decentralized approach to the coordinated sharing and exchange of information between autonomous models. This software architecture provides for decentralized model development and maintenance without a global ontology or schema. Rather, a peer-to-peer ontology and brokered information exchange between models are used to create constituency within a federation of models. The key aspects of this approach are:

Project Benefits

This project can help to provide an avenue for integrating models in a number of areas including the design of various power systems; integrating materials design and components (atoms to devices); developing large-scale, granular models of energy components such as gas turbines; modeling interactions among the grid, consumers, and energy sources; and developing the detailed models needed for the energy-water nexus.

Contact Information

Federal Project Manager 
Jason Hissam: jason.hissam@netl.doe.gov
Technology Manager 
Briggs White: briggs.white@netl.doe.gov
Principal Investigator 
Kenneth Mark Bryden: bryden@ameslab.gov
 

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