scholarly journals Development of Information System for Decision Support for Optimization of Heat Supply Systems

Author(s):  
V. A. Nemtinov ◽  
◽  
S. M. Terekhov ◽  
2016 ◽  
Vol 7 (2) ◽  
pp. 108-116
Author(s):  
V. A. Stennikov ◽  
◽  
E. A. Barakhtenko ◽  
D. V. Sokolov ◽  
◽  
...  

Author(s):  
Valery Stennikov ◽  
Evgeny Barakhtenko ◽  
Dmitry Sokolov ◽  
Tamara Oshchepkova

This chapter presents new methods and software system SOSNA intended for the parameter optimization of heat supply systems. They make it possible to calculate large-scale systems which have a complex structure with any set of nodes, sections, and circuits. A new methodological approach to solving the problem of the parameter optimization of the heat supply systems is developed. The approach is based on the multi-level decomposition of the network model, which allows us to proceed from the initial problem to less complex sub-problems of a smaller dimension. New algorithms are developed to numerically solve the parameter optimization problems of heat supply systems: an effective algorithm based on the multi-loop optimization method, which allows us to consider hierarchical creation of the network model in the course of problem solving; a parallel high-speed algorithm based on the dynamic programming method. The new methods and algorithms were used in the software system SOSNA.


Author(s):  
Valery A. Stennikov ◽  
Ivan V. Postnikov

This chapter deals with the problem of comprehensive analysis of heat supply reliability for consumers. It implies a quantitative assessment of the impact of all stages of heat energy production and distribution on heat supply reliability for each consumer of the heat supply system. A short review of existing methods for the analysis of fuel and heat supply reliability is presented that substantiates the key approaches to solving the problem of comprehensive analysis of heat supply reliability. A methodological approach is suggested, in which mathematical models and methods for nodal evaluation of heat supply reliability for consumers are developed and the studies on the impact of different elements of fuel and heat supply systems on its level are described. Mathematical modeling is based on the Markov random processes, models of flow distribution in a heat network, deterministic dependences of thermal processes of heat energy consumption and some other models.


Author(s):  
Valery Stennikov ◽  
Tamara Oshchepkova ◽  
Nikolay Stennikov

The paper addresses the issue of optimal expansion and reconstruction of heat supply systems, which includes a set of general and specific problems. Therefore, a comprehensive approach to their solving is required to obtain a technically admissible and economically sound result. Solving the problem suggests search for effective directions in expansion of a system in terms of allocation of new heat sources, their type, output; construction of new heat networks, their schemes and parameters; detection of “bottlenecks” in the system and ways of their elimination (expansion, dismantling, replacement of heat pipeline sections, construction of pumping stations). The authors present a mathematical statement of the problem, its decomposition into separate subproblems and an integrated technique to solve it. Consideration is given to a real problem solved for a real heat supply system. A set of arising problems is presented. The application of developed methodological and computational tools is shown.


Author(s):  
M. Iskakov ◽  
◽  
A. N. Tomilov ◽  

On the basis of a systematic approach, the goals and functional tasks of the analysis of the steadystate hydraulic regime are formalized, as a proven practice of the methodology of decision-making in the field of commissioning and prospective development of complex heat supply systems of megacities. The use of a systematic approach to setting and improving the tasks of mode analysis allowed us to develop and implement an applied information system with an effective analyzing methodology for solving professional problems.


Vestnik MEI ◽  
2018 ◽  
Vol 2 (2) ◽  
pp. 42-52
Author(s):  
Aleksandr Ya. Shelginsky ◽  
◽  
Igor V. Yakovlev ◽  

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