An object-oriented development environment to optimally design cyclic storage systems

Cyclic storage system (CSS) is defined as physically interconnected and operationally integrated surface water and groundwater subsystems with full direct interactions between the subsystems. Mathematical development and implementation of a CSS model is very complex and all previous works are fully case dependent with a minimum possibility of generalization. This article proposes an integrated development environment called CSSDev, which assists researchers to create and design object-oriented CSS models more easily. Using CSSDev, researchers may skip regeneration of repetitive simulation codes for common elements of a CSS. CSSDev employs NSGA-II to optimally select the design parameters of the models. Two objective functions of the optimization problem are system's total costs and total loss associated with the development alternatives. A real-world large-scale CSS has been modeled and optimized to illustrate the performance of CSSDev. The final Pareto-front is presented and two selected solutions from the set of optimal non-dominated ones are evaluated and discussed.

[1]  Miguel A. Mariño,et al.  Large-Scale Nonlinear Conjunctive Use Optimization Problem: Decomposition Algorithm , 2010 .

[2]  Hakan Başaǧaoǧlu,et al.  Joint Management of Surface and Ground Water Supplies , 1999 .

[3]  Abdollah Ardeshir,et al.  Lumped Approach to a Multi-Period–Multi-Reservoir Cyclic Storage System Optimization , 2008 .

[4]  Kalyanmoy Deb,et al.  A fast and elitist multiobjective genetic algorithm: NSGA-II , 2002, IEEE Trans. Evol. Comput..

[5]  N. Buras,et al.  Conjunctive Operation of Dams and Aquifers , 1963 .

[6]  Kalyanmoy Deb,et al.  Simulated Binary Crossover for Continuous Search Space , 1995, Complex Syst..

[7]  J. Stedinger,et al.  Water resource systems planning and analysis , 1981 .

[8]  Enrique Alba,et al.  Improving flexibility and efficiency by adding parallelism to genetic algorithms , 2002, Stat. Comput..

[9]  Yong Tang,et al.  Parallelization strategies for rapid and robust evolutionary multiobjective optimization in water resources applications , 2007 .

[10]  D. Loucks.  Quantifying trends in system sustainability , 1997 .

[11]  Oscar R. Burt,et al.  Optimal Resource Use Over Time with an Application to Ground Water , 1964 .

[12]  Daniele De Wrachien,et al.  Conjunctive use of surface and groundwater: overview and perspective , 2002 .

[13]  A. Das Gupta,et al.  Ground-Water Management Model for an Extensive Multiaquifer System and an Application , 1996 .

[14]  Mohammad Amin Jahanpour,et al.  Optimum management of cyclic storage systems: A simulation–optimization approach , 2013 .

[15]  R. Peralta,et al.  Optimal Large-Scale Conjunctive Water-Use Planning: Case Study , 1995 .

[16]  V. Klemeš.  Value of information in reservoir optimization , 1977 .

[17]  Miguel A. Mariño,et al.  Cyclic storage systems optimization: Semidistributed parameter approach , 2009 .

[18]  Dennis P. Lettenmaier,et al.  Cyclic Storage: A Preliminary Assessment , 1982 .

[19]  Jery R. Stedinger.  Comment on ‘Value of information in reservoir optimization’ by V. Klemeš , 1978 .