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Prof Erik Dahlquist Malardalen University e rik.dahlquist@mdh.se

ADAPTIVE DYNAMIC MODELS FOR MAINTENANCE-ON_DEMAND AND PROCESS OPTIMIZATION OF COMBINED HEAT AND POWER PLANTS (ADMADE). Prof Erik Dahlquist Malardalen University e rik.dahlquist@mdh.se. Objectives.

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Prof Erik Dahlquist Malardalen University e rik.dahlquist@mdh.se

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  1. ADAPTIVE DYNAMIC MODELS FOR MAINTENANCE-ON_DEMAND AND PROCESS OPTIMIZATION OF COMBINED HEAT AND POWER PLANTS (ADMADE) Prof Erik DahlquistMalardalen University erik.dahlquist@mdh.se

  2. Objectives • The aim of thisapplication is tobuild a foundation of mathematicaltools for application in the futureenergysector, includingrenewableenergy as well as intelligent energy. • Secondlyweneedmore information on moisture and heatingvalue of different fuels, tooptimize the performance. • Measured process data will be analysed and utilised for process optimization, and not only be collected and stored as is often the casetoday.

  3. Project • In the project we will develop the mathematical modeling foundation for doing these type of diagnostics and optimizations for later implementation in different power plant and process industries generally. • - Physical models will be combined with statistical models in a systematic way to make it possible to adapt the models as conditions change, and to follow effect of new fuels. • - A hierarchical structure will be introduced for • 1) measurement of fuel properties using NIR and RF together with statistical models like PLS, • 2) process diagnostics comparing simulations to measurements in the process combined with Bayesian Nets and • 3) production planning including when maintenance has to be done. • 4) on-line control and optimization using model based, multivariable control. This includes both the production and district heating system.

  4. Partners  • Mälarenergi AB • Eskilstuna Energy and Environment • ENA Energy • Vattenfall

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