Some methods for making cogeneration stations more maneuverable

Goryachikh, N. V.; Batukhtin, Andrey; Ivanov, S. A.

doi:10.1134/s0040601510100125

Cited by 7 publications

(5 citation statements)

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“…A., 2002). Multiple excess of unit costs determines the urgency of the problems in energy conservation and the need to reduce fuel consumption in existing heating systems and during their development (Goryachikh, N. V. et al, 2010). Currently, some installations of traditional and renewable energy are close in terms of their cost, while the renewable energy has significant advantages in energy and environmental efficiency (Bass, M. S., & Batuhtin, A. G., 2011).…”

Section: The Problem Of Low Efficiency Of Heat Supply Systems Of the mentioning

confidence: 99%

Optimization for the Equipment in Combined Heating Systems

Batuhtin¹,

Bass²,

Batuhtin³

2015

MAS

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The article discusses the prospects for using various types of renewable energy sources for continental climate conditions (on the example of the Zabaikalye Territory). It is determined that the most efficient is the use of solar energy for the heating needs. The method for optimizing the composition of the equipment in combined heating systems, which allows quick determination of the optimal amount of solar collectors without reusability of complex astronomical calculations needed to determine the exact position of the Sun in the required time. Application of the developed methodology in conducting energy audit of heating supply objects can reasonably represent the technical and economic advice on the implementation of renewable energy sources.

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Section: The Problem Of Low Efficiency Of Heat Supply Systems Of the mentioning

confidence: 99%

Optimization for the Equipment in Combined Heating Systems

Batuhtin¹,

Bass²,

Batuhtin³

2015

MAS

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“…The possibilities of daily unloading on the electrical load of the CHPPs are limited by the load of regulated extractions [6,7]. In winter, at low outdoor temperatures, the regulated extractions of a heating CHPPs are usually fully loaded and there are practically no control capabilities of the power plant [8][9][10]. At the same time, during these periods, the issues of ensuring the daily schedule of electrical loads are most acute [11][12][13].…”

Section: Introductionmentioning

confidence: 99%

Optimization of schemes and ways to expand the adjustment range for the power supply of combined heat and power plants

Burdenkova,

Garievsky

2023

E3S Web Conf.

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The article assesses the possibility of using low-flow operating modes at steam turbine with an additional boiler and steam and combined-cycle cogeneration plants for heat supply schemes, taking into account the storage properties of heat networks and buildings. It is shown that the use of low-flow operation modes of the turbine plant during the night period allows the combined heat and power plant to participate more effectively in covering the variable part of the electric load schedule. The dependence of the share of participation of an additional boiler in covering the heat load on the prices for fuel and electricity is determined. Comparison of the performance indicators of the steam turbine CHPP in low-flow modes with the release of the thermal energy necessary to the consumer from an additional boiler with the mode of its complete shutdown and the release of thermal energy from the peak hot water boiler made it possible, taking into account the accumulating properties of heat networks and buildings, to recommend a low-flow operation mode at night. For a combined-cycle cogeneration plant it is shown that it is advisable to reduce the electric power at night, while ensuring the nominal heat supply, by unloading the gas turbines with the transfer of the steam turbine to the motor mode.

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“…can be reduced to a sequence of recurrent relations of fi rst order differential equations with a linear dependence in the right-hand side. Such tasks include thermodynamic analysis models [4][5][6][7][8][9][10][11], heat and power system models [12][13][14][15][16], combustion models [17][18][19][20][21][22], models of local heat exchange systems (for example, solar collectors [23][24][25][26][27][28]), and others. Nowadays, systems of homogeneous and inhomogeneous differential equations are one of the main tools for mathematical modeling of physical processes [14].…”

Section: Introductionmentioning

confidence: 99%

Development and experimental verification of the mathematical model of thermal inertia for a branched heat supply system

Batukhtin¹,

Batukhtina²,

Bass³

et al. 2019

J Appl Eng Science

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The article describes a new method for making management decisions on heat supply in district heating systems, based on solving a sequence of recurrence relations of fi rst-order differential equations, enabling to synthesize daily schedules of heat supply in such systems. Using fi rst order differential equations, we implement real-time daily heat supply scheduling, predict the time-temperature dependence for heating water in the supply line, and we form a decision on the thermal energy delivery on the basis of this information. The effectiveness of our method is confi rmed by numerical modeling and comparative analysis of daily heat supply scheduling with the help of advanced intelligent decision making tools. For comparative analysis, we considered daily scheduling using a nonlinear regression model, a generalized regression neural network, a radial basis neural network, and a linear neural network. The effectiveness of our method was estimated on the basis of MAPE (mean absolute percentage error) and Accuracy coeffi cients. The model was recognized as most effective for which the MAPE value was maximum, and the Accuracy value tended to one hundred percent. Experimental studies showed that our proposed model has an advantage over the regression model by 1.68 times and over the neural models by more than 10.2 times when modeling for a hundred heating network sections. Thus, the main purpose of our study was to increase the accuracy of the method of making a managerial heat supply decision based on the experimental verifi cation of a mathematical model of thermal inertia of a branched district heating system.

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Some methods for making cogeneration stations more maneuverable

Cited by 7 publications

References 0 publications

Optimization for the Equipment in Combined Heating Systems

Optimization for the Equipment in Combined Heating Systems

Optimization of schemes and ways to expand the adjustment range for the power supply of combined heat and power plants

Development and experimental verification of the mathematical model of thermal inertia for a branched heat supply system

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