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New Results in Development of Methods for Optimization of Heat Supply System Parameters and Their Software Implementation

Author

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  • E. A. Barakhtenko

    (Energy Systems Institute, Siberian Branch of the Russian Academy of Sciences, Irkutsk, Russia)

  • T. B. Oshchepkova

    (Energy Systems Institute, Siberian Branch of the Russian Academy of Sciences, Irkutsk, Russia)

  • D. V. Sokolov

    (Energy Systems Institute, Siberian Branch of the Russian Academy of Sciences, Irkutsk, Russia)

  • V. A. Stennikov

    (Energy Systems Institute, Siberian Branch of the Russian Academy of Sciences, Irkutsk, Russia)

Abstract

Modern practice of solving the problems of heat supply system design generates the need to solve the problem of choosing optimal parameters for a considerable set of equipment. The problem of choosing optimal parameters involves determining the diameters of new heat pipelines, searching for the methods to reconstruct existing network sections, and choosing the pressure heads of pumping stations and their sites. To solve this problem the authors suggest a dynamic programming method for optimization of branched networks and a multiloop optimization method for calculation of loop networks, both being developed in the theory of hydraulic circuits. The paper presents new versions of algorithms for the implementation of these methods and describes their capabilities. These algorithms are implemented in the software package SOSNA-M. This software was developed on the basis of a methodological approach created to develop algorithms and methods for optimization of heat supply system parameters, flexibly control the computational process, optimize heat supply system parameters on a feasible set of equipment and improve the types of reconstruction of the existing components.

Suggested Citation

  • E. A. Barakhtenko & T. B. Oshchepkova & D. V. Sokolov & V. A. Stennikov, 2013. "New Results in Development of Methods for Optimization of Heat Supply System Parameters and Their Software Implementation," International Journal of Energy Optimization and Engineering (IJEOE), IGI Global, vol. 2(4), pages 80-99, October.
    • Handle: RePEc:igg:jeoe00:v:2:y:2013:i:4:p:80-99
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