Blar i Institutt for teknisk kybernetikk på tidsskrift "Computer-aided chemical engineering"
Viser treff 1-6 av 6
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Data-driven degradation model for batch processes: a case study on heat exchanger fouling
(Journal article; Peer reviewed, 2018) -
Optimal Maintenance Scheduling for Washing of Compressors to Increase Operational Efficiency
(Peer reviewed; Journal article, 2019)The need for simultaneously decreasing carbon emissions and increasing operational profit motivates gas turbine and gas compressor operators to understand, minimize and control performance deterioration. Fouling is one of ... -
Reinforcement Learning for Batch-to-Batch Bioprocess Optimisation
(Chapter, 2019)Bioprocesses have received great attention from the scientific community as an alternative to fossil-based products by microorganisms-synthesised counterparts. However, bioprocesses are generally operated at unsteady-state ... -
Short-term Scheduling of a Multipurpose Batch Plant Considering Degradation Effects
(Journal article; Peer reviewed, 2019)Fouling is a typical type of degradation in the process industries, which results in significant negative effects on the efficiency of plants. This paper considers a case study, where production tasks with different recipes ... -
Stochastic NMPC of Batch Processes Using Parameterized Control Policies
(Journal article; Peer reviewed, 2018)Nonlinear model predictive control (NMPC) is an effective method for optimal operation of batch processes. Most dynamic models however contain significant uncertainties. It is therefore important to take these uncertainties ... -
Stochastic nonlinear model predictive control of a batch fermentation process
(Journal article; Peer reviewed, 2019)Nonlinear model predictive control (NMPC) is an attractive control approach to regulate batch processes reliant on an accurate dynamic model. Most dynamic models however are affected by significant uncertainties, which may ...