Abstract

The world energy crisis and environmental problems have prompted a rapid increase in the share of electricity generation by renewable sources. However, the operating modes of such energy facilities are rather uneven over 24 hours. Thus, for the energy sector of most developing countries, and as well as for part of developed countries, such fluctuations in the overall energy production balance lead to the forced limitation of the equipment capacity at TPPs or to the full shutdown of power units. The insufficient quantity of maneuvering capacities in the overall energy generating balance is a characteristic feature of the power systems of such countries as the Russian Federation, Ukraine, Macedonia, Bulgaria, Romania, Argentina, and others. The shortage of such capacities is often compensated for by the pulverized coal units with a power of 200–300 MW, whose operation is enabled at half-peak and peak modes. This equipment is not designed for such operations. Therefore, the development of a regime method of resource management has been proposed to prevent the premature exhaustion of TPP generating equipment. Based on technical auditing of the operational documentation of generating companies, a method has been suggested aimed at forecasting the rational resource-saving operational regimes of the high-temperature elements of power equipment by optimizing the ratio of the number of launches of the equipment from various thermal states. An optimization problem has been stated, which implies determining such a distribution of the process structural-technological parameters that would ensure the maximal preservation of equipment resource. The residual resource has been selected as the objective function of the optimization problem. The devised method has been represented in the form of a comprehensive system for estimating and forecasting the rational operational modes of the TPP high-temperature elements, which makes it possible to define individual resource indicators over the entire period of equipment operation for all possible future combinations of operational modes and to compile forecasts for thousands of different variants of power unit exploitation, implying the calculation of resource indicators for each of them

Highlights

  • An important issue related to the energy systems of many countries, including parts of Europe, the CIS, Argentina, and South Africa, is the lack of peak capacities in the overall generating energy balance

  • It is known that in order to ensure stable operation of a power system, it is advisable that the base capacities within a structural balance of energy generating capacity should amount to 50–55 %, half-peaks – to about 30–35 %, and peak – at least to 15 % [6]

  • The authors of [16] emphasize that a technique that could predict the residual lifetime of unit operations is necessary for managerial decisions on the ope­ ration of power plants and planning their service

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Summary

Introduction

An important issue related to the energy systems of many countries, including parts of Europe, the CIS, Argentina, and South Africa, is the lack of peak capacities in the overall generating energy balance. There is a need to involve base and semi-base TPP energy units to control power in the grid. Such equipment is not designed to operate under frequent variable modes. A simple extension of the service life will not make it possible to ensure the high excessive operation and is not able to provide sufficient time for the technical modification of energy generation. The effective implementation of the procedure for analyzing the reliability and durability of the high-temperature elements’ operation is largely dependent on con­sidering the correlation between the structural, technological, and regime parameters of a power unit. The above testifies to the relevance of studies aimed at determining the rational operational regimes for the TPP high-temperature elements

Literature review and problem statement
The aim and objectives of the study
Constructing a mathematical model for an evaluation and forecasting system
Results of evaluating the residual resource of power units’ elements
Findings
Conclusions
Full Text
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