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OMOptim presentation Hubert Thieriot Mines ParisTech Center for - - PowerPoint PPT Presentation

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OMOptim presentation Hubert Thieriot Mines ParisTech Center for Energy and Processes February 2011 Context Two projects Mines ParisTech : CERES : energy efficiency in industrial processes Key parameters Technology choices

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OMOptim presentation

Hubert Thieriot

Mines ParisTech Center for Energy and Processes February 2011

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Context

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Two projects

  • Mines ParisTech : CERES : energy efficiency in

industrial processes

– Key parameters – Technology choices

  • PELAB : SSF Proviking EDOp

– Dynamic optimization

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What is OMOptim ?

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What OMOptim intends to be ?

Optimization platform designed to :

– Facilitate algorithms development – Share optimization functions – Apply optimization easily and efficiently

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Two main users

Academics A platform to develop and test optimization methods Industrial A user-friendly tool to perform process

  • ptimizations

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Types of problems

  • Static parameters’ optimization
  • Structure optimization
  • Data reconciliation
  • Parameter estimation
  • Sensitivity analysis
  • Dynamic optimization
  • ...

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Current version OMOptim 0.9

OMOptim

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Open Modelica Corba Open Modelica, Dymola OMOptim Optimization Simulation Reading Writing Modelica model

  • Heuristic
  • Linear programming

C++, Qt C++, External libs Reading/ modifying variables Reading/ modifying model structure Files

OMOptim – Current structure

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Static parameters optimization

What OMOptim can do ?

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e.g. Optimization of heat-pump parameters

Condenser Compressor Compressor Evaporator Valve Valve Heat- Exchanger P P A

  • pressure levels
  • heat-exchanger area
  • Parameters are static : constant during one simulation
  • Simulation can still be dynamic

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Structure optimization

What OMOptim can do ?

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Cooling Heating Drying Cooling Heating’ Heating’’ Drying’

  • Introduction of alternative options
  • Optimal choice

Structure optimization

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Structure optimization

  • Current :

– One compilation per configuration

  • Challenge :

– « Dynamic » change of model structure

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Which objectives ?

What OMOptim can do ?

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Multi-objectives

Pareto criteria allows several objectives simultaneously

Investment cost Operational cost

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What does it look like ?

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Model structure Model Variables Optimized parameters Optimized Objectives

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Problems Solved problems Result plot Export result data .csv

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Future work

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To be done …

  • Finalize OMOptim structure
  • Strengthen link Simulation – Optimization

– Derivative information – Structural change – Parallelization – Dynamic optimization

  • Organize sharability of optimization functions

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OMOptim for you…

  • You’re welcome to use it and to develop in !
  • Version is still 0.9
  • Share our ideas about structure, algorithms…

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Thanks for your attention