FPOLISOLUTIONS, LLC — Department of Energy SBIR Phase II: 30f
FPOLISOLUTIONS, LLC — SBIR Phase II award from Department of Energy.
- Amount
- $1,100,000
- Agency
- Department of Energy
- Program / Phase
- SBIR · Phase II
- Topic
- 30f
- Solicitation
- DE-FOA-0001976
- NAICS
- —
- Place of performance
- PA
- Period
- 2019-08-19 → 2021-08-18
Description
FPoliSolutions, LLC proposes to develop and commercialize an integrated data and simulation management framework to reduce power plant operating costs.FPoliSolutions would build from the current RAVEN technology recently developed by Idaho National Lab for the purposes of commercializing an integrated data and simulation management framework for nuclear power plants operation costs reduction.RAVEN is essentially a workflow engine with the capability to drive simulators and model complex systems.The engine contains a variety of libraries designed to perform parametric and stochastic analysis based on the response of complex system codes.In its current implementation, RAVEN relies on Application Programming Interfaces (APIs) to manage any code, provided parameters that need to be manipulated are accessible by input files or via Python interfaces.The extensible RAVEN framework provides the capability to add simulators, store and retrieve data in a common HDF5 database file.Commercial applications of the RAVEN framework will bridge the gap between the National Lab high fidelity simulation codes and current production software applications in use in the nuclear industry today.The RAVEN framework will simplify the transition and facilitate roll out of new simulators while increasing plan operators abilities to make informed decisions with high confidence.FPoliSolutions’ approach for commercial deployment for RAVEN will be to develop a customer database that will link to RAVEN via a Service Oriented Architecture (SOA) framework.The RAVEN SOA framework will make service calls between the customer database and the Linux RAVEN side simulator framework.RAVEN within a SOA framework can directly support reductions in plant operating costs and strategy optimization.The ultimate vision is to implement RAVEN with a SOA framework as the backbone for complex simulation, design/margin optimization, and simulation uncertainty quantification across multiple industries.