Abstract

Coal-fired power units, now balancing power shortages in the power system, must be characterised by increasingly higher flexibility of operation. This means faster start-ups and the capacity for frequent decreases and increases in the power output. These processes cause large temperature gradients in elements of the power unit and the turbine and lead to an increase in the stress level. At such an operating regime it is impossible to ensure safety based on start-up characteristics only—it becomes necessary to constantly monitor stress levels in critical areas of machinery and equipment elements. The stress level in turbine elements can be monitored on-line using algorithms based on Green’s functions and Duhamel’s integral. This paper presents examples of modifications of stress calculations in turbine valves and casings during start-ups. By modifying basic algorithms, it is possible to take into account the impact of the variability of heat transfer coefficients on the thermal stress level. Additionally, individual Green’s functions and correction factors were determined for specific stages of start-ups. Due to modifications, it is possible to obtain satisfactory agreement with the results obtained from FEM-based calculations for the entire heating process. Equations are also given that enable estimation of values of the heat transfer coefficient in turbine valves. The proposed modification of the algorithm will substantially improve the accuracy of stress modelling in transient states of the turbine operation. On-line stress monitoring will enable an increase in the flexibility of the power unit operation and facilitate operational control, ensuring safety of individual elements at the same time. The stress values calculated in the on-line mode can also be used to estimate fatigue life consumption and forecast the residual lifetime of individual components.

Highlights

  • Power unit start-ups carried out according to the manufacturer’s recommendations should ensure operating safety

  • Large temperature gradients arise in elements of the power unit and of the turbine, and this creates a higher risk of a serious failure [4]. At such an operating regime it is impossible to ensure safety based on start-up characteristics only—it becomes necessary to constantly monitor stress levels in critical areas of machinery and equipment elements

  • Green’s function f G (t) is used as the influence function T (τ ) describing the material stress-related response to a change in the temperature of the fluid flowing around the Energies 2021, 14, 4708 element, whereas individual components of thermal stress σ T in a given time instant are calculated using Duhamel’s integral: T

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Summary

Introduction

Power unit start-ups carried out according to the manufacturer’s recommendations should ensure operating safety. Large temperature gradients arise in elements of the power unit and of the turbine, and this creates a higher risk of a serious failure [4] At such an operating regime it is impossible to ensure safety based on start-up characteristics only—it becomes necessary to constantly monitor stress levels in critical areas of machinery and equipment elements. They were used to developed for the of calculation of carried thermalout stresses in boiler elements based optimise the start-up process Examples of such analyses are presented, among others, in on on-line measurements of parameters carried out in power plants [5]. The way of using used to optimise the start-up process Examples of such analyses are presented, among on-line monitoring systems calculate fatigue of the of material of turbine others, stress in [6,7].

Agorithms Based on Green’s Functions
Modification of the Algorith for Thermal Stress Determination
Turbine Inner Casing
Distribution
11. Increment
Turbine
17. Monitored the turbine
Controlling
26. Control
27. Control
Findings
Conclusions
Full Text
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