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Исследование влияния внешних условий на оптимальное значение гидравлических сопротивлений клапанов отопительных приборов, установленных в отапливаемом помещении

Research of the Influence of External Conditions on the Optimal Value of the Valves Hydraulic Resistances of Heating Devices Installed in a Heating Indoor Area
Authors: Sergey Valentinovich Vologdin; Alexander Petrovich Shuravin;

Исследование влияния внешних условий на оптимальное значение гидравлических сопротивлений клапанов отопительных приборов, установленных в отапливаемом помещении

Abstract

В статье обосновывается актуальность применения методов искусственного интеллекта для задач энергосбережения и приводятся примеры подобных работ, в том числе с использованием методом математической оптимизации. Даны несколько примеров актуальных оптимизационных задач. Обосновывается необходимость исследования ландшафта целевой функции при оптимизации гидравлических режимом системы отопления зданий. Приведена постановка задачи данного исследования, включая формулу расчета целевой функции. Дано краткое описание используемых алгоритмов оптимизации (генетический алгоритм и алгоритм направленного поиска). Дано описание вычислительного эксперимента, в ходе которого были исследованы результаты оптимизации термогидравлических режимов отапливаемых помещений при разных условиях: температуре наружного воздуха, температуре и расхода теплоносителя. Данное исследование выявило, что оптимальное значение гидравлических сопротивлений клапанов отопительных приборов в общем случае уменьшается с уменьшением температуры наружного воздуха, а так же температуры и расхода теплоносителя. Отклонения от этой закономерности наблюдаться при экстремальных условиях: слишком низкая температура наружного воздуха, при низкой (для данных условий) температуре теплоносителя или низкого расхода теплоносителя. The article substantiates the relevance of the use of artificial intelligence methods for energy saving problems and provides examples of such works, including using the method of mathematical optimization. Several examples of topical optimization problems are given. The necessity of studying the landscape of the objective function when optimizing the hydraulic regime of the heating system of buildings is substantiated. The formulation of the problem of this study, including the formula for calculating the objective function, is given. A brief description of the optimization algorithms used (genetic algorithm and directed search algorithm) is given. A description of a computational experiment is given, during which the results of optimization of thermohydraulic modes of heated rooms under different conditions were investigated: outside air temperature, temperature and coolant flow rate. This study revealed that the optimal value of the hydraulic resistances of the valves of heating devices generally decreases with a decrease in the outside air temperature, as well as the temperature and flow rate of the heat coolant. Deviations from this pattern are observed under extreme conditions: too low outside air temperature, at low (for these conditions) coolant temperature or low coolant flow rate.

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Keywords

тепловые сети, искусственный интеллект, энергосбережение, energy saving, методы оптимизации, optimization methods, heating networks, artificial intelligence

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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