Decomposition algorithms for global solution of deterministic and stochastic pooling problems in natural gas value chains

Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2009.

Opis bibliograficzny
1. autor: Armagan, Emre
Kolejni autorzy: Paul I. Barton and Stephen C. Graves.
Format: Praca dyplomowa
Język:eng
Wydane: Massachusetts Institute of Technology 2009
Hasła przedmiotowe:
Dostęp online:http://hdl.handle.net/1721.1/46629
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author Armagan, Emre
author2 Paul I. Barton and Stephen C. Graves.
author_facet Paul I. Barton and Stephen C. Graves.
Armagan, Emre
author_sort Armagan, Emre
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description Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2009.
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spelling mit-1721.1/466292019-04-10T11:56:10Z Decomposition algorithms for global solution of deterministic and stochastic pooling problems in natural gas value chains Armagan, Emre Paul I. Barton and Stephen C. Graves. Massachusetts Institute of Technology. Dept. of Mechanical Engineering. Massachusetts Institute of Technology. Dept. of Mechanical Engineering. Mechanical Engineering. Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2009. Includes bibliographical references (leaves 153-158). In this thesis, a Benders decomposition algorithm is designed and implemented to solve both deterministic and stochastic pooling problems to global optimality. Convergence of the algorithm to a global optimum is proved and then it is implemented both in GAMS and C++ to get the best performance. A series of example problems are solved, both with the proposed Benders decomposition algorithm and commercially available global optimization software to determine the validity and the performance of the proposed algorithm. Moreover, a two stage stochastic pooling problem is formulated to model the optimal capacity expansion problem in pooling networks and the proposed algorithm is applied to this problem to obtain global optimum. A number of example stochastic pooling problems are solved, both with the proposed Benders decomposition algorithm and commercially available global optimization software to determine the validity and the performance of the proposed algorithm applied to stochastic problems. by Emre Armagan. S.M. 2009-08-26T17:08:04Z 2009-08-26T17:08:04Z 2009 2009 Thesis http://hdl.handle.net/1721.1/46629 426051889 eng M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 158 leaves application/pdf Massachusetts Institute of Technology
spellingShingle Mechanical Engineering.
Armagan, Emre
Decomposition algorithms for global solution of deterministic and stochastic pooling problems in natural gas value chains
title Decomposition algorithms for global solution of deterministic and stochastic pooling problems in natural gas value chains
title_full Decomposition algorithms for global solution of deterministic and stochastic pooling problems in natural gas value chains
title_fullStr Decomposition algorithms for global solution of deterministic and stochastic pooling problems in natural gas value chains
title_full_unstemmed Decomposition algorithms for global solution of deterministic and stochastic pooling problems in natural gas value chains
title_short Decomposition algorithms for global solution of deterministic and stochastic pooling problems in natural gas value chains
title_sort decomposition algorithms for global solution of deterministic and stochastic pooling problems in natural gas value chains
topic Mechanical Engineering.
url http://hdl.handle.net/1721.1/46629
work_keys_str_mv AT armaganemre decompositionalgorithmsforglobalsolutionofdeterministicandstochasticpoolingproblemsinnaturalgasvaluechains