Use this URL to cite or link to this record in EThOS: http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.654764
Title: Decision mapping and optimal inspection models for Oman Seawater desalination plants
Author: Al Hinai, Ahmed
ISNI:       0000 0004 5359 7576
Awarding Body: Glasgow Caledonian University
Current Institution: Glasgow Caledonian University
Date of Award: 2014
Availability of Full Text:
Access from EThOS:
Abstract:
The study presented in this thesis focuses on the critical evaluation of the on-going maintenance strategies of seawater desalination plants in the Sultanate of Oman. The unexpected failures of critical desalination plant equipment consequently escalate annual plant maintenance costs. Reverse Osmosis (RO) and Multistage Flash (MSF) seawater desalination plants are considered in this study. A comprehensive Failure Mode and Effect Analysis (FMEA) is conducted to identify the critical components/partsljunctions and the causes that contribute significantly to equipment failures of both RO and MSF plants. Failure in most cases leads to undesirable outcomes such as production losses and other catastrophic incidents. Through the FMEA analysis, common failure modes of differing severity for equipment in both RO and MSF desalination plants were examined Among other failure modes assessed in this study, scaling and fouling are very common in seawater desalination plants. Scaling and fouling are mainly caused by the accumulation of solid particles and algal blooms on the internal surfaces of critical plant equipment. The effects of scaling and fouling are explored by modelling the plant breakdown following these failure mode events. Historical failures and maintenance data are collected from both RO and MSF plants respectively. An exploratory statistical data analysis is conducted and the results are compared against the competing failure modes identified A graphical display of the RO and the MSF plant failures' inter-arrival times and maintenance data, as well as the sequence of downtime events are presented to give a better insight of the failures pattern. The inter-arrival times between failures tend to be shorter at some points on the graphs presented.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.654764  DOI: Not available
Share: