1
FOQUS (Framework for Optimization and Quantification of Uncertainty and Sensitivity) FOQUS Flowsheet Meta-Flowsheet Turbine Turbine Web API SimSinter Process Simulator FOQUS Worker Flowsheet Analysis Tools: UQ, Simulation based Optimization, ALAMO, Heat Integration, UQ, OUU, D-RM Cluster/Remote: Use Turbine to queue meta- flowsheet jobs and distribute them to worker instances of FOQUS Worker/Desktop: Run flowsheet in local FOQUS, and submit process simulations to Turbine Tear Data Transfer Simulation Consumer FOQUS Consumer Simulation Queue FOQUS Queue TurbineLite Instance Results Samples Process Simulation Data Management Framework (DMF) Data Management and Simulation Support Accelerating Carbon Capture through Computing You-Wei Cheah, Joshua Boverhof, Abdelrahman Elbashandy, Deb Agarwal, Jim Leek, Thomas Epperly, John Eslick, David Miller Contact: David C. Miller, NETL, [email protected] Disclaimer:This presentation was prepared as an account of work sponsored by an agency of the United States Government. Neither the United States Government nor any agency thereof, nor any of their employees, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or represents that its use would not infringe privately owned rights. Reference herein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise does not necessarily constitute or imply its endorsement, recommendation, or favoring by the United States Government or any agency thereof. The views and opinions of authors expressed herein do not necessarily state or reflect those of the United States Government or any agency thereof. Rapidly synthesize optimized processes to identify promising concepts Better understand internal behavior to reduce time for troubleshooting Quantify sources and effects of uncertainty to guide testing & reach larger scales faster Stabilize the cost during commercial deployment 2010 2015 2020 2025 2030 2035 2040 2045 2050 1 MWe 1 kWe 10 MWe 100 MWe 500 MWe Laboratory Development 10-15 years Process Scale Up 20-30 years Accelerated deployment timeline Process Scale Up 15 years 1 MWe 10 MWe 500 MWe 100 MWe Accelerating Carbon Capture SimSinter Standardized interface for simulation software Steady state & dynamic Simulation Aspen gPROMS Excel SimSinter Config GUI Results FOQUS F ramework for O p-miza-on Q uan-fica-on of U ncertainty and S ensi-vity Meta-flowsheet: Links simulations, parallel execution, heat integration Samples Simulation Based Optimization UQ ALAMO Surrogate Models Turbine Parallel simulation execution management system Desktop – Cloud – Cluster iREVEAL Surrogate Models Optimization Under Uncertainty D-RM Builder Heat Integration Data Management Framework (DMF) Data Management Framework FOQUS SimSinter Config GUI ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●●●● ●● ●●● ●● ●● ●●● ●● ●● ●● ●● ●● ●●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●●● ●● ●● ●● ●● ●●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●●● ●● ●● ●● ●●● ●● ●● ●● ●● ●● ●●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●●● ●● ●● ●●●● ●● ●● ●● ●● ●● ●●●● ●● ●● ●● ●● ●● ●●● ●● ●●● ●● ●● ●●● ●● ●● ●● ●● ●● ●●● ●●● ●● ●● ●● ●● ●● ●● ●●● ●● ●● ●●●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●●● ●● ●● ●● ●●● ●● ●● ●● ●● ●● ●●● ●● ●● ●●●● ●● ●● ●●● ●● ●● ●● ●● ●● ●● ●● ●● ●●●● ●● ●● ●●●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●●● ●● ●● ●●● ●●● ●●● ●● ●● ●● ●● ●●● ●● ●●● ●● ●● ●● ●● ●●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●●●●● ●● ●● ●●● ●● ●● ●● ●●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●●● ●● ●● ●● ●●● ●● ●● ●●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●●● ●● ●● ●● ●● ●● ●● ●● ●●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●●● ●● ●● ●●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●●● ●● ●● ●● ●●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●●● ●● ●● ●●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●●● ●● ●● ●● ●●● ●● ●● ●●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●●●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●● ●●● ●● ●● ●●● ●● ●● ●● ●● ●● ●● 00:00 00:10 00:20 Jan 22 Jan 23 Jan 24 Jan 25 start time runtime (minutes) NETL Optimization: Successes and Failures Turbine

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Page 1: Data Management and Simulation Support Accelerating …escience-2016.idies.jhu.edu/wp-content/uploads/2016/11/Cheah-You... · Data Management and Simulation Support Accelerating Carbon

FOQUS (Framework for Optimization and Quantification of Uncertainty and Sensitivity)

FOQUS Flowsheet

Meta-Flowsheet

Turbine Turbine Web API

SimSinter Process Simulator

FOQUS Worker

Flowsheet Analysis Tools: UQ, Simulation based Optimization, ALAMO, Heat Integration, UQ, OUU, D-RM

Cluster/Remote: Use Turbine to queue meta-flowsheet jobs and distribute them to worker instances of FOQUS

Worker/Desktop: Run flowsheet in local FOQUS, and submit process simulations to Turbine

Tear

Data Transfer

Simulation Consumer

FOQUS Consumer

Sim

ulation Queue

FOQ

US

Queue

TurbineLite Instance Results Samples

Process Simulation

Data Management Framework (DMF)

Data Management and Simulation Support Accelerating Carbon Capture through Computing

You-Wei Cheah, Joshua Boverhof, Abdelrahman Elbashandy, Deb Agarwal, Jim Leek, Thomas Epperly, John Eslick, David Miller

Contact: David C. Miller, NETL, [email protected]

Disclaimer:This presentation was prepared as an account of work sponsored by an agency of the United States Government. Neither the United States Government nor any agency thereof, nor any of their employees, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or represents that its use would not infringe privately owned rights. Reference herein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise does not necessarily constitute or imply its endorsement, recommendation, or favoring by the United States Government or any agency thereof. The views and opinions of authors expressed herein do not necessarily state or reflect those of the United States Government or any agency thereof.

Rapidly synthesize optimized processes to identify promising concepts

Better understand internal behavior to reduce time for

troubleshooting

Quantify sources and effects of uncertainty to guide testing &

reach larger scales faster Stabilize the cost during commercial deployment

2010 2015 2020 2025 2030 2035 2040 2045 2050

1 MWe 1 kWe 10 MWe 100 MWe 500 MWe

Laboratory Development 10-15 years Process Scale Up

20-30 years

Accelerated deployment timeline

Process Scale Up 15 years

1 M

We

10 M

We

500

MW

e

100

MW

e Accelerating Carbon Capture

SimSinter Standardized interface for simulation software

Steady state & dynamic

Simulation Aspen

gPROMS Excel

SimSinter Config GUI

Res

ults

FOQUS FrameworkforOp-miza-onQuan-fica-onofUncertaintyandSensi-vity

Meta-flowsheet: Links simulations, parallel execution, heat integration

Sam

ples

Simulation Based Optimization UQ ALAMO

Surrogate Models

Turbine Parallel simulation execution management system

Desktop – Cloud – Cluster

iREVEAL Surrogate Models

Optimization Under Uncertainty

D-RM Builder Heat Integration

Data Management Framework (DMF)

Data Management Framework

FOQUS

SimSinter Config GUI

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00:00

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Jan 22 Jan 23 Jan 24 Jan 25start time

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NETL Optimization: Successes and Failures

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