Cultural Nationalism and the Rise of Dutch Studies

Part of book or chapter of bookLeiden Univ Centre for Linguistic

Een sprong in het duister: Nederlandse emigratieliteratuur 1946-1992

Oratie bij de aanvaarding van het ambt van bijzonder hoogleraar in de Internationale Uitwisseling van Nederlandse literatuur in Historisch Perspectief vanwege het Huygens Instituut van de Koninklijke Nederlandse Akademie van Wetenschappen aan de Universiteit Leiden op vrijdag 24 september 2021FGW – Publications not associated with a particular research are

Synthesis of separation processes with reinforcement learning

This paper shows the implementation of reinforcement learning (RL) in commercial flowsheet simulator software (Aspen Plus V12) for designing and optimising a distillation sequence. The aim of the SAC agent was to separate a hydrocarbon mixture in its individual components by utilising distillation. While doing so it tries to maximise the profit produced by the distillation sequence. All actions of the agent were set by the SAC agent in Python and communicated in Aspen Plus via an API. Here the distillation column was simulated by use of the build-in RADFRAC column. With this a connection was established for data transfer between Python and Aspen and the agent succeeded to show learning behaviour, while increasing profit. Although results were generated, the use of Aspen was slow (190 hours) and Aspen was found unsuitable for parallelisation. This makes that Aspen is incompatible for solving RL problems. Code and thesis are available at https://github.com/lollcat/Aspen-R