Upgrade of the thermal power plant flexibility by the steam accumulator

Stevanović, Vladimir D.; Petrović, Milan M.; Milivojević, Sanja; Ilić, Milica

doi:10.1016/j.enconman.2020.113271

Cited by 48 publications

(9 citation statements)

References 21 publications

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“…The outlet specific enthalpy of the cooling water in the TC is calculated by the calculation unit: (15) where T coolÀout is the outlet temperature of cooling water from the TC, and h coolÀout the outlet specific enthalpy of the cooling water in the TC. The flow of the cooling water through the TC under actual conditions is calculated by calculation unit 3 41,42 :…”

Section: Presentation Of Calculation Unit 3 Turbine Condensermentioning

confidence: 99%

“…where _ m actÀTC is the flow of the cooling water through the TC under actual conditions, cp cool is the specific heat of cooling water through the TC, and T cool,actÀout the temperature of outlet cooling water from the TC under actual conditions. The flow of the cooling water through the TC under optimal conditions is calculated by calculation unit 3 41,42 :…”

Section: Presentation Of Calculation Unit 3 Turbine Condensermentioning

confidence: 99%

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Integration of machine learning to increase steam turbine condenser vacuum and efficiency through gasket resealing and higher heat extraction into the atmosphere

Strušnik

2021

Intl J of Energy Research

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In large thermal power facilities, thermal machines mainly fitted with steam turbines are used in thermodynamic process of converting thermal energy into mechanical work. In order to improve the efficiency of heat energy conversion into mechanical work, the increase of vacuum level in the condenser of a steam turbine was analyzed using the machine learning method. The vacuum in the steam turbine condenser increases after replacing the labyrinth gaskets with honeycomb ones, resealing the vacuum system and increasing the amount of cooling water through the condenser. The latter is controlled by algorithm, which is integrated into the steam turbine distribution control system. As a result of the increased vacuum in the steam turbine condenser, the enthalpy difference of the steam turbine low-pressure cylinder increases, and the steam turbine performs more mechanical work resulting in higher conversion efficiency. The drawback of the increased vacuum in the turbine condenser is that the flow of cooling water through the steam turbine condenser increases as well as heat dissipation from the condenser into the environment to be replaced by regenerative condensate heating. The results of the analysis show that the overall balance of the vacuum increase in the steam turbine condenser is positive, the steam turbine generates more power, and consequently the process efficiency increases by as much as 2.48 %.

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Section: Presentation Of Calculation Unit 3 Turbine Condensermentioning

confidence: 99%

Section: Presentation Of Calculation Unit 3 Turbine Condensermentioning

confidence: 99%

Integration of machine learning to increase steam turbine condenser vacuum and efficiency through gasket resealing and higher heat extraction into the atmosphere

Strušnik

2021

Intl J of Energy Research

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“…China remains the world's largest emitter of carbon dioxide, mainly due to the high proportion of coal-fired thermal power [12,13]. The flexibility of TPGU [14][15][16][17], SO 2 emissions [18] and other indicators can only be used as a kind of technical indicators or TPGU improvement targets, which cannot be used to comprehensively evaluate TPGU.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of TPGU using entropy - improved TOPSIS - GRA method in China

2022

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China is still one of the countries dominated by thermal power generation. In order to generate more efficient, stable and clean power, it is necessary to evaluate thermal power generation units (TPGU). Firstly, a comprehensive evaluation index system for TPGU with 20 secondary indicators was established from four aspects: reliability indicators, economic indicators, technical supervision indicators, and major operating indicators. Secondly, the entropy weight method can be used to calculate the weight of each second-level index. Mahalanobis Distance improved Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) method is coupled with the Grey Relational Analysis (GRA), and the comprehensive evaluation values of 5 units (600MW) are respectively 0.4516, 0.5247, 0.3551, 0.5589 and 0.6168 from both vertical and horizontal dimensions. Finally, by comparing and analyzing this method with the above research methods, it is found that the results obtained by this method which re-establishes the coordinate system based on the data set are more accurate. In addition, this method can effectively evaluate the operation of TPGU, which is of great significance for cleaner production while generating electricity. In conclusion, some suggestions on clean production of TPGU are put forward, and the innovation points and limitations of this paper are pointed out.

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“…of Power System Engineering, Faculty of Mechanical Engineering, University of West Bohemia, Czech Republic 2 Experimental Research of Flow, Doosan Skoda Power, Czech Republic * E-mail: petreret@kke.zcu.cz https://doi.org/10.36897/jme/150830 contributor to the future power supply mix in various countries to meet the energy demand [6][7][8][9][10]. In synergy with the wind and solar energy sources, coal-fired steam power plants must operate flexibly based on market demand [11][12][13][14][15][16][17] and supply electric power with the highest efficiency and the lowest emissions possible. One feasible way to meet the high-efficiency requirements is an optimised turbine steam path with minimal aerodynamic and leakage losses in rotating and stationary components.…”

Section: Introductionmentioning

confidence: 99%

Effect of Manufacturing Processes on Blade Throat Size and Position in a Steam Turbine Diaphragm

Eret¹,

Hoznedl²

2022

Journal of Machine Engineering

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Despite a sustainable energy future, steam turbines are requisite for the reliability and security of the electric power supply in many countries. Accurate and precise manufacturing of the steam path is crucial to turbine efficiency. Before entering the rotor blades, the steam must be correctly guided using stationary blading in a diaphragm. Steam turbine diaphragms are complicated components to manufacture, and welding is the most common fabrication method. A case study presented in this paper employs data from a 3D optical scanner for a geometric deviation analysis of the upper half of the diaphragm at two production steps, after complete welding and after final machining. Unrolled cylinder cross-sections at different diameters are used to evaluate the blade throat sizes and positions compared to the nominal geometry. The results indicate significant geometric changes between the two fabrication steps, and several suggestions are put forward for targeted future work.

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Upgrade of the thermal power plant flexibility by the steam accumulator

Cited by 48 publications

References 21 publications

Integration of machine learning to increase steam turbine condenser vacuum and efficiency through gasket resealing and higher heat extraction into the atmosphere

Integration of machine learning to increase steam turbine condenser vacuum and efficiency through gasket resealing and higher heat extraction into the atmosphere

Evaluation of TPGU using entropy - improved TOPSIS - GRA method in China

Effect of Manufacturing Processes on Blade Throat Size and Position in a Steam Turbine Diaphragm

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