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Title: Synthesis and optimisation of large-scale utility systems
Author: Rodriquez-Toral, Miguel Angel
Awarding Body: University of Edinburgh
Current Institution: University of Edinburgh
Date of Award: 1999
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This research is focused on the simulation, optimisation and synthesis of utility systems, in particular combined heat and power (CHP) systems. These systems involve gas and steam turbines, steam generation at different pressure levels, condensing equipment and auxiliaries. The CHP systems are of substantial industrial interest for the efficient supply of heat and power. As they are highly integrated processes their size and implicit complexity requires the use of an equation oriented (EO) framework including the models developed in this research. An EO mathematical model for the simulation, optimisation and synthesis of CHP systems has been developed. It includes models for the simultaneous solution of all process streams, every major piece of equipment and investment and operating costs. Several EO simulation examples, from simple unit operations, a whole real cogeneration plant involving a commercial gas turbine with 1275 variables and equations up to a synthesis model with 3042 variables for a fixed structure, are used to demonstrate the applicability of the CHP model and the EO framework. A number of energy and economic optimisation problems were solved using a SQP (Sequential Quadraic Programming) method. Both the EO model and the use of the SQP code was fully explored by experiments in a model with two steam turbines. In addition the following utility systems were optimised: a model of a combined heat and power plant; industrial size problems including a model for a cogeneration plant currently in operation and a synthesis model for a fixed structure. An important contribution made to solve EO simulation problems for CHP systems was to obtain converged solutions to plant sections which then were used as starting guess for larger plant sections until whole systems are simulated. Also this strategy was used to provide a warm starting guess for the efficient solution of large continuous optimisation problems of CHP systems.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID:  DOI: Not available