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Optimization of Real-Life Integrated Solar Desalination Water Supply System with Probability Functions

  • Bayrammyrat MyradovEmail author
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 991)

Abstract

The possibility of creation of sustainable living activity for small community in the remote area using solar desalination unit via stochastic programming problems is investigated. The Model of System consists of development of: (a) stochastic simulation optimization model of integrated solar desalination water supply system, and (b) financial–economic model of System. Three stochastic programming problems such as: (a) classical stochastic optimization problem with objective function in mathematical expectation form, (b) combined chance constrained programming problem, and (c) joint chance constrained programming problem, are formulated, discussed and solved. Essential distinctive peculiarities of formulated chance constrained programming problems are (a) correlation between stochastic functions, and (b) logical functions in technological matrix. As the solution of chance constrained optimization problems approach based on differential evolution algorithm along with Monte Carlo sampling technique of the chance constraint(s) evaluation is proposed. The developed optimization models and proposed optimization approach can be used for making investment decisions under uncertainties.

Keywords

Stochastic programming Global optimization Solar desalination 

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.AshgabatTurkmenistan

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