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Optimization of Steam Utility Network Operation Open Access


Other title
Back-off Solution
Probability Constraints
Process Economic Optimization
Utility Network Operation
Operating Strategy Optimization
Planning and Sceduling Problem
Chance Constraints
Linear Programming
Type of item
Degree grantor
University of Alberta
Author or creator
Weng, William F.
Supervisor and department
Huang, Biao (Chemical and Materials Engineering)
Forbes, Fraser (Chemical and Materials Engineering)
Examining committee member and department
Liu, Qingxia (Electrical and Computer Engineering)
Forbes, Fraser (Chemical and Materials Engineering)
Huang, Biao (Chemical and Materials Engineering)
Prasad, Vinay (Chemical and Materials Engineering)
Department of Chemical and Materials Engineering
Process Control
Date accepted
Graduation date
Master of Science
Degree level
Energy and utilities costs often represent one of the largest operating costs at manufacturing plants and they are areas where companies can reduce cost if optimal operating strategy is applied for efficient steam distribution and electricity generation. In addition to the financial incentive, environmental benefits can be achieved by reducing inefficient use of resources with optimal operating strategies. While there has been an extensive research activity for the optimization of utilities network, the interaction of the constraints and the feasibility of the optimal solution with uncertainties were rarely questioned. In this work, the utilities network is formulated as a chance constraint problem and the solution of the optimization problem would ensure the feasibility of the solution when facing uncertainties or when the constraints interact with one another. The optimal operating strategies obtained from solving the chance constraint problem are compared with the operating strategies obtained using linear programming, which do not take process uncertainties into account, and the operating conditions currently in place at the manufacturing plant. Several scenarios are also developed to demonstrate how the optimal solution would shift when process and economic conditions vary. In summary, this thesis provides a new approach to solve the utilities optimization problem that explicitly includes the desired feasible probability of the system to handle process uncertainties within the system.
Permission is hereby granted to the University of Alberta Libraries to reproduce single copies of this thesis and to lend or sell such copies for private, scholarly or scientific research purposes only. Where the thesis is converted to, or otherwise made available in digital form, the University of Alberta will advise potential users of the thesis of these terms. The author reserves all other publication and other rights in association with the copyright in the thesis and, except as herein before provided, neither the thesis nor any substantial portion thereof may be printed or otherwise reproduced in any material form whatsoever without the author's prior written permission.
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