Guessoum Z, Nadjemi O, Braunschweig B, Roux P, Yang A, Fraga ES, Stalker D, Pinol ID, Serra M, Paen D (2003) Agent-based computer-aided process engineering. Grisby D, Lo S-L (2001) OmniORB User’s Guide 3.0. Information vailable online at Ĭook WJ, Klatt J, Brosilow CB (1987) Simulation of large scale dynamic systems. Chemical Engineering Progress, pp 65–76Ĭolan: CAPE-OPEN laboratories network.
#CHEMICAL PROCESS MODELING TOOLS SOFTWARE#
Comput Chem Eng 24(2–7):653–658īosman G (2003) A survey of co-design ideas and methodologies.īraunschweig BL, Pantelides CC, Britt HI (2000) Process modelling, the promise of open software architectures. Bostonīezzo F, Macchietto S, Pantelides CC (2000) A general framework for the integration of computational fluid dynamics and process simulation. The concept is realized in the component-based integration platform CHEOPS, which focuses on integrating and solving existing models rather than providing its own modelling capabilities.Īspentech (2000) PolymersPlus User Guide, release 10.2, BostonĪspentech (2001) AspenPlus 11.1 User Guide. In order to illustrate the concept without getting into complicated algorithmic issues, we focus on steady-state simulation using models comprising only algebraic equations. This paper presents a concept for an integration platform that allows for the integration of modelling tools, combining their models to build up a process model and performing computer-aided studies based on this integrated process model. However, in order to support reusability of existing models and to allow for the combined use of different modelling tools for the study of complex processes, model integration is needed. Each (chemical) process modelling tool provides its own model representation and model definition functions as well as its own solution algorithms, which are used for performing computer-aided studies for the process under consideration. General topics of research that are studied using these tool are: gas to liquids technology using high conversion Fischer-Tropsch, hydrocracking and oligomerisation methane to methanol direct conversion air separation technology conversion of alcohols to distillates conversion of plastic to diesel conversion of regolith using fluorine Carbon black process catalyst design incorporating heat and mass transfer limitations beer bottle pasteurisation greenhouse analysis iron reduction using alternative reduction materials multiperiod heat and mass exchange network synthesis solar thermal integrated combined heat and mass exchange networks bioethanol and biogas supply chain network optimisation regional heat demand network optimisation integrated with renewable energy.A large number of modelling tools exist for the construction and solution of mathematical models of chemical processes. The development of heat and mass exchange networks, supply chain optimisation for resource conservation, alternative energy integrated flowsheet optimisation with environmental constraints, all within a single general algebraic modelling system (GAMS). These models can be combined within a flow sheet.
The development of fundamental process unit operation models specialising in multi-component, multiphase models with complex elementary chemical kinetics which can be overlaid with Maxwell Stefan mass and heat transfer, and combined with one dimensional, distributed or transient operations. The research is focused on two overlapping fields. The process modelling and optimisation group specialises in using computer simulations to study industrial processes, unit operations, process optimisation, process network and scheduling problems.