Use this URL to cite or link to this record in EThOS: http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.666311
Title: An investigation into the application of parallel computers for the dynamic simulation of chemical processes
Author: McKinnel, Roderick C.
Awarding Body: University of Edinburgh
Current Institution: University of Edinburgh
Date of Award: 1994
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Abstract:
The detailed dynamic simulation of chemical processes is computationally expensive. Standard single processor (sequential) computers are not of sufficient power to tackle such simulations in a reasonable time frame. In particular, it is not possible to run complex simulations in less than real time. The solution to obtaining the processing power required lies in moving towards the use of multiple processor (parallel) computers. Unfortunately, obtaining the full benefit from parallelism requires the problem being solved to be partitionable into parts, each of which can be solved concurrently. For the majority of problems, locating this parallelism is not trivial. An investigation into the use of MIMD parallel computers for dynamic process simulation has been performed. Initially the parallel dynamic simulation of distillation was studied. Later work moved on to the parallel dynamic simulation of complete processes. As a result, two parallel process simulators have been produced: PDist (Parallel Distillation simulator) and PNet (Parallel Process Network simulator). Throughout the work a parallel modular approach, rather than a parallel equation based approach, has been adopted. Results show that the parallel modular approach maps efficiently to parallelism and that excellent reductions in execution time can be obtained. As well as the exploitation of parallelism for processing power reasons, a large amount of the work aimed to show the benefits which the parallel modular approach offered from a usability point of view. Both PDist and PNet were designed with usability in mind. The simulation model interfaces created were designed to hide the majority of the parallelisation from the modeller.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.666311  DOI: Not available
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