2017
DOI: 10.1016/j.egypro.2017.03.233
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Heat Supply Modes Optimization Based on Macromodeling Technology

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Cited by 4 publications
(4 citation statements)
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“…To take into account the network specificity of the problems of calculating the thermalhydraulic HSS modes [1,9], the graph theory is used as a visual and effective section of mathematics from the point of view of algorithmization and software implementation. The basic methods for calculating hydraulic regimes are the general methods for calculating the flow distribution: the method of nodal pressures [12], the contour flow method [1], the global gradient method [13], and other methods [14][15][16][17][18].…”
Section: Methodsmentioning
confidence: 99%
“…To take into account the network specificity of the problems of calculating the thermalhydraulic HSS modes [1,9], the graph theory is used as a visual and effective section of mathematics from the point of view of algorithmization and software implementation. The basic methods for calculating hydraulic regimes are the general methods for calculating the flow distribution: the method of nodal pressures [12], the contour flow method [1], the global gradient method [13], and other methods [14][15][16][17][18].…”
Section: Methodsmentioning
confidence: 99%
“…(1) Problems with statistical or dynamic technological criteria (optimization of the basic parameters of the boiler unit [2], temperature control [3], maximum efficiency of combustion processes [4,5], changes in design parameters [6], etc. ); (2) Problems with statistical or dynamic technical and economic criteria (energy-saving of thermal energy [7], minimization of operating costs [8], maximum profit [9], etc. ); (3) Forecasting problems for the technical state of heat and power equipment (shortterm and long-term forecasts of the mode parameters [10,11], planning of repair and maintenance work, development of a strategy for equipment service [12], etc.…”
Section: Introductionmentioning
confidence: 99%
“…from the necessary and sufficient conditions for the solvability of the three-dimensional Volterra integral equation of the first kind with variable upper and lower integration limits arising in the problem of identifying K iii from Equation (7). Let us further, for simplicity, present α 1,i = −α 2,i ≡ α i .…”
mentioning
confidence: 99%
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