Application of Mathematical Optimization Techniques in Reservoir Design and Management Studies

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Contributors:
Ohio State University. Water Resources CenterUnited States. Office of Water Research and Technology
Subjects (LCSH):
Reservoirs -- Ohio -- DesignReservoirs -- Ohio -- Mathematical models
Reservoirs -- Ohio -- Management
Issue Date:
1978-12Metadata
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Ohio State University. Water Resources CenterSeries/Report no.:
Project completion report (Ohio State University. Water Resources Center) ; no. 525XAbstract:
Optimal monthly release policies are derived for Hoover Reservoir, Columbus, Ohio, using chance-constrained linear programming and dynamic programming-regression methodologies. Simulation procedures are used to examine and compare the overall performance of the optimal policies derived
by the two methods. Results suggest that for a two-sided quadratic loss function, linear release policies are more optimal. It is also established that the maximum R2 criterion, generally used for model selection, does not exactly produce the best form of a release policy, particularly for nonlinear forms. At target releases at or below the safe yield of the case study
reservoir, and for a one-sided quadratic loss function, the standard policy
is optimal. At higher targets, nonlinear policies give better performance
than the standard policy. Other observations are made concerning the performance of the two optimization approaches in a real case study.
Description:
This study was supported in part by the
Office of Water Research and Technology,
U.S. Department of the Interior under
Project A-046-0HI0
(print) xviii, 263 p. : ill. ; 28 cm.
This report constitutes the doctoral dissertation of Nageshwar R. Bhaskar, Department of Civil Engineering, The Ohio State University
(print) xviii, 263 p. : ill. ; 28 cm.
This report constitutes the doctoral dissertation of Nageshwar R. Bhaskar, Department of Civil Engineering, The Ohio State University
Contents:
Abstracts, Keywords -- Project Personnel, Acknowledgements -- List of Tables -- List of Figures -- List of Symbols -- Chapter I: Introduction -- Chapter II: Background and Objectives -- Chapter III: Case-Study Description -- Chapter IV: Case-Study Simulation Analysis -- Chapter V: Optimization Models -- Chapter VI: Chance-Constrained Linear Programming Results -- Chapter VII: Dynamic Programming - Regression Results -- Chapter VIII: Comparison of Optimization Models -- Chapter IX: Summary, Conclusions and Recommendations -- Appendix -- Bibliography
Type:
BookOther Identifiers:
OCLC #8378018 (print)Items in Knowledge Bank are protected by copyright, with all rights reserved, unless otherwise indicated.