Selected problems of determining an efficient operation standard in contemporary heat-and-flow diagnostics

Głuch, Jerzy

doi:10.2478/v10012-008-0040-6

Cited by 9 publications

(8 citation statements)

References 1 publication

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“…Obtaining a diagnosis in the case of ANN enables all three phases of a diagnostic procedure to be found. ANN shows 97% efficiency and almost 100% identification accuracy in identifying degradation locations [42,49]. These results correspond with the site model with a multilayer perceptron, and a linear model of the unidirectional network should also be used for identification purposes.…”

Section: Literature Gapsupporting

confidence: 67%

Review of Methods for Diagnosing the Degradation Process in Power Units Cooperating with Renewable Energy Sources Using Artificial Intelligence

Ziółkowski,

Drosińska-Komor,

Głuch

et al. 2023

Energies

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This work is based on a literature review (191). It mainly refers to two diagnostic methods based on artificial intelligence. This review presents new possibilities for using genetic algorithms (GAs) for diagnostic purposes in power plants transitioning to cooperation with renewable energy sources (RESs). The genetic method is rarely used directly in the modeling of thermal-flow analysis. However, this assignment proves that the method can be successfully used for diagnostic purposes. The GA method was presented in this work for thermal-flow studies of steam turbines controlled from the central power system to obtain the stability of RESs. It should be remembered that the development of software using genetic algorithms to locate one-off degradations is necessary for a turbine that works sustainably with RESs. In this paper, against the background of the review, diagnostic procedures create an inverse model of a thermal power plant. Algorithms were used to detect fast global extremes through the convergence of simulated signatures with signs explaining degradation. In addition, statistical dependencies are used in the selection phase to accelerate fault detection. The created procedure allows obtaining a diagnosis in the form of a single degradation. This procedure turns out to be quite effective for the above example.

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Section: Literature Gapsupporting

confidence: 67%

Review of Methods for Diagnosing the Degradation Process in Power Units Cooperating with Renewable Energy Sources Using Artificial Intelligence

Ziółkowski,

Drosińska-Komor,

Głuch

et al. 2023

Energies

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“…Gate Cycle is designed for advanced combination systems, variable load operation 40-120% of nominal load [37]; • COM-GAS is intended for design level of combined systems with full analysis of a heat recovery steam generator, pulverized fuel, and fluidized bed boilers [38,39]; • DIAGAR is intended for design and diagnostic level of steam systems with full steam turbine analysis [40];…”

Section: Software For Zero-dimensional Modellingmentioning

confidence: 99%

Thermodynamic Analysis of Negative CO2 Emission Power Plant Using Aspen Plus, Aspen Hysys, and Ebsilon Software

et al. 2021

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The article presents results of thermodynamic analysis using a zero-dimensional mathematical models of a negative CO2 emission power plant. The developed cycle of a negative CO2 emission power plant allows the production of electricity using gasified sewage sludge as a main fuel. The negative emission can be achieved by the use this type of fuel which is already a “zero-emissive” energy source. Together with carbon capture installation, there is a possibility to decrease CO2 emission below the “zero” level. Developed models of a novel gas cycle which use selected codes allow the prediction of basic parameters of thermodynamic cycles such as output power, efficiency, combustion composition, exhaust temperature, etc. The paper presents results of thermodynamic analysis of two novel cycles, called PDF0 and PFD1, by using different thermodynamic codes. A comparison of results obtained by three different codes offered the chance to verify results because the experimental data are currently not available. The comparison of predictions between three different software in the literature is something new, according to studies made by authors. For gross efficiency (54.74%, 55.18%, and 52.00%), there is a similar relationship for turbine power output (155.9 kW, 157.19 kW, and 148.16 kW). Additionally, the chemical energy rate of the fuel is taken into account, which ultimately results in higher efficiencies for flue gases with increased steam production. A similar trend is assessed for increased CO2 in the flue gas. The developed precise models are particularly important for a carbon capture and storage (CCS) energy system, where relatively new devices mutually cooperate and their thermodynamic parameters affect those devices. Proposed software employs extended a gas–steam turbine cycle to determine the effect of cycle into environment. First of all, it should be stated that there is a slight influence of the software used on the results obtained, but the basic tendencies are the same, which makes it possible to analyze various types of thermodynamic cycles. Secondly, the possibility of a negative CO2 emission power plant and the positive environmental impact of the proposed solution has been demonstrated, which is also a novelty in the area of thermodynamic cycles.

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“…This situation was the reason why the advantage of water control could not be uniquely evaluated, even based on warranty thermal measurements performed in steam turbine power plants [8,12]. In inland conditions this inability was checked on 200 MW blocks, where the gains calculated using the nomogrammes obtained from the producers and describing the operation of these apparatuses [7] were at the level of calculating errors.…”

Section: Economic and Technical Analysis Of The Use Of Cooling Water mentioning

confidence: 99%

“…The initial version of the diagnostic calculations performed for the thermal cycles of the inland and marine power plants had omitted cooling water system components [12]. For the purpose of the present analysis these components were included in the calculations, along with relevant data about their operation, which made it possible to calculate their energy parameters in changed operating conditions.…”

Section: Economic and Technical Analysis Of The Use Of Cooling Water mentioning

confidence: 99%

“…In the majority of power plants the condenser cooling water pumps work at constant mass flow rate, but recently a more and more frequently analysed problem is an attempt to control this parameter, especially when the turbine works under changing load conditions. The main reason for applying control systems in inland turbine power plants is an attempt to save the water, the consumption of which is extremely high during steam power plant operation [1,5,8,12]. Marine turbine power plants also reveal remarkable load changes.…”

Section: Introductionmentioning

confidence: 99%

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Operating and economic conditions of cooling water control for marine steam turbine condensers

Błaszczyk¹,

Głuch²,

Gardzilewicz³

2011

Polish Maritime Research

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Operating and economic conditions of cooling water control for marine steam turbine condensers The article presents the operational and economic analysis of controlling the cooling water flow in marine steam turbine power plants. The analysis bases on selected designs of the main condenser cooling water pumps and makes use of the results of investigations performed in inland power plants. Special attention was focused on marine aspects of the operation of those systems.

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Selected problems of determining an efficient operation standard in contemporary heat-and-flow diagnostics

Cited by 9 publications

References 1 publication

Review of Methods for Diagnosing the Degradation Process in Power Units Cooperating with Renewable Energy Sources Using Artificial Intelligence

Review of Methods for Diagnosing the Degradation Process in Power Units Cooperating with Renewable Energy Sources Using Artificial Intelligence

Thermodynamic Analysis of Negative CO2 Emission Power Plant Using Aspen Plus, Aspen Hysys, and Ebsilon Software

Operating and economic conditions of cooling water control for marine steam turbine condensers

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