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Details of Grant 

EPSRC Reference: GR/K51587/01
Title: OPTIMISATION TOOLS FOR INTEGRATED PROCESS ENGINEERING OPERATION
Principal Investigator: Morton, Dr B
Other Investigators:
McKinnon, Professor K
Researcher Co-Investigators:
Project Partners:
Department: Sch of Chemical Engineering
Organisation: University of Edinburgh
Scheme: Standard Research (Pre-FEC)
Starts: 23 September 1996 Ends: 22 December 1999 Value (£): 176,035
EPSRC Research Topic Classifications:
Design of Process systems
EPSRC Industrial Sector Classifications:
Chemicals
Related Grants:
Panel History:  
Summary on Grant Application Form
The proposal arises from an industrial need for reliable and efficient large-scale process optimization software. The project provides an important tool in the operation and control of industrial processes, both on a plant-wide and site-wide basis, which would also aid the design of such processes. Efficient solution of large-scale problems is particularly desirable for online applications where optimization in real time is used to determine the control of a plant or site.Models of an integrated process plant are typically composed of sub-models for unit operations (columns, reactors etc.) connected by streams (materials and energy flows). It is often possible to break a large process down into smaller sub-processes by assuming values for a relatively small number of streams. This structure suggests the use of decomposition methods in which the sub-processes are solved by standard techniques such as NLP (nonlinear programming). The overall process is then optimised by a master problem which determines the best values of the linking variables. This is a nonsmooth problem which requires special techniques. A main thrust of the programme is to address the theoretical and organisational issues that arise, leading to the development of effective algorithms and software. Another aim of the research programme is to study methods for formulating and generating very large process models. Important issues related to choice of interfaces, consistency of models and reliability of solution. Automatic differentiation will be an important tool. Effectiveness of the decomposition software in solving practical models will be assessed.
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