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|Title: ||Planning the petrochemical industry in Kuwait using economic and safety objectives|
|Authors: ||Al-Sharrah, Ghanima|
|Issue Date: ||2006|
|Publisher: ||© Ghanima Al-Sharrah|
|Abstract: ||Kuwait, one of the major oil producing countries in the Middle East, is in the
process of globalizing its operation in petroleum and petrochemical production.
Kuwaiti officials have expressedin terest in acceleratingd evelopmento f the country's
relatively small petrochemical industry. The development is to produce new valuable
chemicals from the available basic feedstock chemicals.
Two of the important planning objectives for a petrochemical industry are the
economic gain and the industrial safety involved in the development.
For the economic evaluation of the industry, and for the proposed final
product chemicals in the development, a long-range plan is needed to identify trends
in chemical prices. The chemical prices are related to the oil price, which is
considered an important motivator for the whole petrochemical industry. Price trend
modelling is performed to be able to forecast these prices for the planning horizon.
Safety, as the second objective, is considered in this study as the risk of
chemical plant accidents. Risk, when used as an objective fimction, has to have a
simple quantitative form to be easily evaluated for a large number of possible plants
in the petrochemical network. The simple quantitative form adopted is a risk index
that enables the number of people affected by accidents resulting in chemical releases
to be estimated.
The two objectives, when combined with constraints describing the desired or
the possible structure of the industry, will form an optimization model. For this study,
the petrochemical planning model consists of a Mixed Integer Linear Programming
(MILP) model to select the best routes from the basic feedstocks available in Kuwait
to the desired final products with multiple objective functions.
The economic and risk objectives usually have conflicting needs. The
presence of several conflicting objectives is typical when planning. In many cases,
where optimization techniques are utilized, the multiple objectives are simply
aggregated into one single objective function. Optimization is then conducted to get
one optimal result. However, many results are obtained for different aggregations of
the objectives and eventually a set of solutions is obtained. Other tools, such as
strategic tools, are used to select the best solution from the set.
This study, which is concerned with economic and risk objectives, leads to the
identification of important factors that affect the petrochemical industry. Moreover,
the procedure, of modelling and model solution, can be used to simplify the decisionmaking
for complex or large systems such as the petrochemical industry. It presents
the use of simple multiple objective optimization tools within a petrochemical
planning tool formulated as a mixed integer linear programming model. Such a tool is
particularly useful when the decision-making task must be discussed and approved by
officials who often have little experience with optimization theories.|
|Description: ||A Doctoral Thesis. Submitted in partial fulfillment of the requirements for the award of Doctor of Philosophy of Loughborough University.|
|Appears in Collections:||PhD Theses (Chemical Engineering)|
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