Use this URL to cite or link to this record in EThOS: https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.265655
Title: Wake dispersion on process plant : enhancing VOC emissions control
Author: Speirs, Lucinda J.
ISNI:       0000 0001 3473 8191
Awarding Body: University of Surrey
Current Institution: University of Surrey
Date of Award: 1998
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Abstract:
This project has made an important contribution to the understanding of flow and dispersion in process plants. This has led to improved methods of inventorising and monitoring VOC emissions which contribute to ground level ozone formation and global warming. Furthermore, fugitive emissions can constitute an annual product loss up to the value of 2m US dollars for a typical refinery. Better targeting of controls thus leads to improved environmental and financial performance. The main research method used was wind tunnel modelling, allowing physical simulation of dispersion around small scale plant models under a controlled environment. The principle geometric feature of process units which differentiates them from “conventional” buildings is their porous nature, establishing internal ventilation flows. By varying model parameters describing porosity, measurements were made to characterise the corresponding wake flow & dispersion behaviour. A comprehensive, practical description of wake dispersion dynamics has been developed for three dimensional porous obstacles. Results clearly show that wake dispersion is strongly sensitive to plant porosity since ventilation flows cause major changes in wake behaviour. As a result, commercial solid building dispersion models cannot be applied to porous process units. Using the wind tunnel data set generated, a new wake dispersion model has been developed for porous structures. Research results have been put into practice by making recommendations for full scale measurement strategies, guiding the interpretation of full scale measurements, planning modifications to Shell’s existing dispersion modelling system (HYMNS), thereby significantly improving the accuracy of flux predictions, and preparing practical guidelines for process plant emissions control & dispersion modelling.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Eng.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.265655  DOI: Not available
Keywords: Air pollution & emissions & acid rain
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