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Solidified the RISA Technology Stack FPoli-AAP for enterprisedata managementobject Figure 1.0-1 FPoli RISMC Technology StackENTERPRISE Documents - parameters simulation relationship Automation enginesfor preparing and postprocessing physicssimulations – enterpriseknowledge High fidelity, 2-phasephysics simulationsFPoli-AAP«use»«use»PRA/D-PRA & AutomationNUREG-800 Chapter 3.2.2NUREG-800 Chapter 250.69Fire, Seismic, & Flooding«trace»«trace»NURGE-800-Chapter 19NUREG-800 Chapter 19«use»«trace»«trace»D-PRAPHYSICS SIMULATORSEMRALD«use»RAVEN«use»PRA PhysicsSimulation«trace»NUREG-800 Chapter 15«trace»DBAsRELAP5-3D2
Business/Market DriversRSO1: VendorIndependent SafetyAnalysis ToolsRSO2: VendorIndependent SafetyAnalysis MethodsCT1: VendorIndependence inSafety AnalysisRSO3: SafetyAnalysisAutomationRSO4: RAVEN SOAFrameworkRSO5: Data Mgmtfor Safety AnalysisToolsCT2: ReducedSafety AnalysisMaintenanceCostRSO6: RAVENRISMC ApplicationsRSO7: IntegratedSystem Response ConfigurableScenariosCT3: t toUS CommercialNuclear Market3
FPoliSolutions RAVEN Services PlatformRAVENContainment ResponseCore ResponsePPLM Database ServicesPlant State ManagementDatabase DiagnosticWorkflow – Automation Reporting ServicesLimit OptimizationComponent DeclassificationSimulationsSystem Response4
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FPoli-AAP made significant progress in fulfilling thevision for an enterprise data management platformwith RAVEN as a key service for RISMC application FPoli-AAP is an enterprise system that can leveragemulti-tiered software solutions such as web services,Fortran/C /java/python backends, and interfaces toexisting current nuclear technologies across variousservers Specifically architected for rapid implementation ofapplications using an agile development process RAVEN is now an important component in FPoli-AAPtechnology stack6
FPoli-AAP is a full stack, enterprise grade,application platform Platform shares data between applications (or services) Data Management applications can be rapidly developed and deployed inan NQA-1 environment Applications can either perform calculations, track/store data, or manageother work processes The application platform uses a web browser interface which can beaccessed anywhere FPoli-AAP designed so that FPoli and customers can create apps tomanage data in a relational manner Architected to be rapidly customizable to customers (utilities) processes7
Vision: A Data Management and Simulation Hub for theNuclear Power Plant (NPP) Operating FleetProblem: Operation under financial stress, rely on dataintegrity and scrutability Managing data cost too much money and time Adoption of complex methods (D-PRA, RISMC) toocumbersome (training, specialized resources ) andrisky (regulatory uncertainty) Hard to prove financial benefit from RISMCapplications Rigid regulatory framework of managing data:outdatedSolution: Tracked and searched data across apps Consumed data and learned from them Built event-driven SOA for extensive automation acrossdisciplines Great emphasis on ‘ease-of-use’ and automation tominimize training, human resource requirements8
FPoli-AAP offers generic plant managementsolutions, diagnostic services, automation ofsimulation workflowsuc Plant State ManagerPlant Configuration «Provider»«invokes»Automated ReloadChecksUserFPS System«extend»«Provider»«invokes»Safety AnalysisStatePlant MaintenanceManagement«invokes»Safety AnalysisRuns«invokes»Flexible Pow erOperationEv aluationSystem services are use case driven focusing on NPP applications.9
FPoli is developing several applications onthe FPoli-AAP platformFPoliDOX – for documentmanagementFPoliDON - for research test facility datamanagement and storageNexHub - for simulation management10
Plant Simulations Engine powered by RAVEN FPoli-AAP’s service oriented framework allows: Extension of services to extract data collect simulation input files run physics simulations NexHub was designed to integrate data for a central database to run plantsimulations NexHub has encapsulated data collection and workflow management in thesimulation manager framework The simulation manager utilizes the content management services providedby FPoli-AAP to manage inputs and results while it automatically run complexanalysis chains with multiple simulators.11
FPoli-AAP can be deployed to run on PC and interact with PCbased application, while FPoli-AAP’s services can run inWindows, Linux, Unix, etcSimulationManagerRELAP5-3Ddeployment Servers«device»PC Maximus Linux Server«executionEnvironment»SUSE EnterpriseRELAP5-3DNexHub«use»RAVEN12
Example of Services Deployed or under ActiveDevelopment for Early Deployment Various versions of FPoliDOX, FPoliDON and NexHub(Simulations) already used in house for processes automation,data sharing and security Extension to advanced data analytics and dynamic PRA servicescurrently pursued Development of surrogates and optimization tools (MachineLearning algorithms) being approached Extension to deep learning tools (neural networks) with abilityto leverage both CPU and GPU architectures or hybrids13
INL Partnership for a Use Case:Plant Reload Process Optimization Project Explicit goal of reducing feedfuel/uranium enrichments Working with tools available to anyus utility Use RISA methods to create newthermal limits to lower fresh fuelbatch sizestrategy map Figure 2.0-1 PROJECT GOALSReload Optimization VisionCommoditize the nuclear fuelmarket through deploying vendorindependent tools and RISAMethodsGoal1- Reduce the feed batch sizes throughoptimization of fuel thermal limits usingRISMC methodsGoal2- Vendor In-Dependent Methods andToolsGoal3- An automation framework with toolsand methods for reload analysis14
Three Phasesstrategy map Figure 2.0-2 PROJECT OBJECTIVESPhase I (FY2020) - DBA Methods DevelopmentRealisticPlant ModelAnalysisFrameworkDBASimulationsCreate RISAMethodsClassic ThermalLimitsPhase II (FY2021)- RISA Methods DevelopmentCreate RISAScenariosUpdate mizationRISA ThermalLimitsPhase III (FY2023)- Demonstrate RISMC BenefitsRegenerateOriginal leAnalysisOptimized FuelManagmentNew Fuel CycleEconomics15
Plant Reload Process Optimization FY19 Activities: Identification of a coherent and feasible development/deployment plan Early demonstration of the tool infrastructure on a selected accident sequence Working Group INL FPoliSolutions, LLC Future possible partnerships: Exelon and Sothern16
FPoli has been activelylooking for near/mid-termdeployment opportunities tointerested customers17
Use RISA methods to create new thermal limits to lower fresh fuel batch size strategy map Figure 2.0-1 PROJECT GOALS Reload Optimization Vision Commoditize the nuclear fuel market through deploying vendor independent tools and RISA Methods Goal1- Reduce the feed batch sizes through optimization of fuel thermal limits using RISMC methods
