scholarly journals Penentuan Tingkat Kritikalitas Peralatan Pembangkit Dengan Metode Equipment Criticality Management Dalam Rangka Penentuan Prioritas Pemeliharaan

Kilat ◽  
2021 ◽  
Vol 10 (1) ◽  
pp. 179-189
Author(s):  
SAPUTRA DWI NUGROHO

The criticality level of equipment used at PT PLN (Pesero) power plants at present is using the Maintenance Priority Index (MPI) method. The calculation for the criticality rating of MPI equipment uses 4 (four) types of calculations, namely SCR, OCR, ACR and AFPF. To add to the consideration in determining the priority of equipment maintenance, an additional calculation of the criticality level of PLTU Tarahan equipment is carried out using the Equipment Criticality Management method. The Equipment Criticality Management method has 4 (four) assessment perspectives, namely Production, Safety, Environment and Equipment Failure. Calculations that have been carried out on the top 100 (one hundred) equipment in the PLTU Tarahan SERP using the Equipment Criticality Management method, there are 85 (eight five) equipment that has “High” criticality and 15 (fifteen) equipment in the “Medium” criticality category. 15 (fifteen) equipment that has “Medium” criticality is equipment that has backup and part of common generating equipment.

2021 ◽  
Vol 14 (1) ◽  
pp. 40-44
Author(s):  
N. V. Baidakova ◽  
A. V. Afonin ◽  
A. V. Blagochinnov

Deterioration and aging of the technical fleet of thermal power facilities lead to an unpredictable shutdowns of power equipment. Therefore, it is necessary to create a special approach in maintenance and repair programs, taking into account the possibility of predicting the moment of onset of the defect, its development, as well as the time of possible equipment failure. The equipment maintenance system used at the enterprises is based on the collection of retrospective data on defects and failures on the main and auxiliary equipment of the TPP and summarizing statistics on identical or similar equipment samples. Analysis of domestic and foreign methods of maintenance and organization of repair, as well as possibility of their application in modern power engineering is given. In order to create an efficient production asset management system, which addresses the problem of finding a balance between the potential risk of losses associated with both the operation of equipment and the cost of correcting defects, new class systems are now used in the software market, which carry out equipment maintenance based on the forecast. In order to optimize the equipment maintenance system and ensure uninterrupted and reliable operation of the equipment at minimum operating costs, as well as to reduce equipment downtime, unscheduled and emergency operations, it is advisable to use a modern approach to manage both reliability and risk, as well as the cost of asset ownership. This will enable to control the economic efficiency of the use of production assets. The necessity of creation of an algorithm of implementation of repair programs of power equipment base on technical condition for its use in digital power systems is shown. An algorithm is proposed for implementing the repair program of power units of electric power plants, including steam boilers and turbines of thermal power plants, differing by taking into account the technical condition of power equipment, which allows recognizing the defect that has appeared, determining the cause of its occurrence, its evolution and the duration of possible equipment failure. In the developed repair maintenance algorithm, it is proposed to make a transition from statistical empirical assessments of the technical condition of the equipment to objective estimates obtained on the basis of automated technical diagnostics systems and predictive analysis of situations.


Author(s):  
J. Kubiak S. ◽  
G. Urquiza B. ◽  
A. Garci´a-Gutierrez

This paper describes the development of an Expert System for identification of generating equipment faults caused by wearing out of their components, which decrease the efficiency and thus the heat rate of a generating plant. In a sister paper [1], the formulation was presented and the algorithms for the principal equipment were developed. The Expert Systems are based on the above algorithms. Also, in some case a vibration analysis is used jointly with thermodynamic analysis to locate precisely a fault, for example in a case of rubbing which damaged the seals of the turbine and/or compressors. The system is used off-line, however it can be installed on-line with a monitoring system. The Expert Systems identify the faults of the gas turbine, the compressor and the steam turbine. Auxiliary equipment faults are presented in the form of tables also, listing the symptoms and their causes [1]. The knowledge levels and the separate bases are built into the systems.


Author(s):  
B. S. DHILLON

This paper presents facts and figures, directly or indirectly, related to medical equipment reliability and reviews various important aspects, directly or indirectly, concerned with medical equipment reliability including classifications of medical devices/equipment, human error in medical equipment, useful guidelines for reliability and other professionals to improve medical equipment reliability, and medical equipment maintenance. A number of methods considered useful for performing medical equipment reliability analysis are also presented. Useful sources and organizations for obtaining medical equipment failure-related data are listed.


2021 ◽  
Vol 22 (1) ◽  
pp. 20-27
Author(s):  
I. N. Fomin ◽  
T. E. Shulga ◽  
V. A. Ivaschenko

The article discusses an original solution for designing an algorithm for selecting the most optimal technical and economic indicators for the operation of generating equipment of thermal power plants, taking into account the requirements of the wholesale electricity market, the day-ahead market and the balancing market. To design an algorithm for controlling generating equipment, the activity of a generating company in the wholesale electricity market was considered in terms of system dynamics. The proposed solution made it possible to select and interpret the state variables of the model, build flow diagrams describing the functioning of a technical-economic system, and visualize cause-and-effect relationships in the form of structured functional dependencies. In this work according to the norms of industry legislation and previously conducted scientific research the most important parameters were identified that form the flows of a dynamic technical and economic system, which are optimization criteria in fact. On the basis of this data, a stream stratification of the production processes of generating companies was carried out and a complex of mathematical models of system dynamics was developed to determine and plan the financial efficiency of the operation of thermal power plants and generating companies. The mathematical apparatus and the algorithm of its functioning are developed on the basis of the digraph of cause-and-effect relationships between the investigated technical and economic indicators. On the basis of the graph of interrelationships of system variables, a system of nonlinear differential equations has been built, which makes it possible to determine planned performance indicators when various technical and economic conditions change. The novelty of the proposed approach is the use of new model solutions based on the mathematical apparatus of system dynamics to represent the proposed model in simulation systems, in industry ERP and MES systems, for the development of DDS.


Author(s):  
Lange Kimball ◽  
Vernon Mize

The ASME piping Code has long recognized the need to perform regular monitoring of pipe hangers at power plants. This is true not only of existing power plants but also of new power plants, including HRSGs and “conventional” steam generating plants. Pipe hanger condition is an external barometer of hidden problems with the piping and attached equipment. Recognizing pipe hanger distress can help prioritize pipe inspections and equipment maintenance. The first part of such a surveillance program is setting up the program. This should include: a.) defining the piping systems that will be monitored, b.) collecting survey documents, c.) setting up a schedule to perform the work, d.) training plant personnel who will be performing such a program and e.) obtaining a commitment by the plant/owners to maintain the program through the life of the plant. This paper discusses experiences and lessons learned setting up such programs at new “conventional” lignite and HRSG plants.


Author(s):  
Lange Kimball ◽  
Britt Bettell

The performance of regular inspections of pipe supports and hangers at refineries, power plants and other industrial sites is often overlooked or ignored. The API, ASME and other Codes and Standards have long included recommended or required practices to perform regular monitoring of pipe supports and restraints, especially as it affects the condition of the piping. This is true not only of existing plants but also of new plants. The condition of pipe supports and restraints is an external barometer of hidden problems with the piping and attached equipment. Recognizing pipe support and restraint distress can help prioritize pipe inspections and equipment maintenance. This paper reviews and identifies applicable sections of the various Codes, Standards and Recommended Practices to provide the reader with a source for such information.


2020 ◽  
Vol 216 ◽  
pp. 01046
Author(s):  
Yurii Chukreev

The issues of presentation generating equipment when solving the problem of substantiating the operational reserve of power in the UES of Russia are considered. The influence of the adopted composition of equipment, various modeling of capital and medium repairs, accounting for the energy supply of hydroelectric power plants on the values of indicators balance reliability and means their support is given.


2019 ◽  
Vol 124 ◽  
pp. 05056
Author(s):  
Ayrat Mardikhanov ◽  
Vilen Sharifullin ◽  
A.V. Golenishchev-Kutuzov ◽  
Sh.G. Ziganshin

The paper describes the method for finding a compromise solution during formation of operation modes of hydropower systems (cascade of hydropower plants). The software solution “Energy system of the HPP cascade” (http://hydrocascade.com) was implemented based on the developed methodology. In the existing model, in order to improve the accuracy of forecasting the parameters of the generating equipment of hydroelectric power plants and hydraulic structures, machine learning methods were used. The new forecast model has increased the accuracy of the forecasts by an average of 3.67%.


2013 ◽  
Vol 647 ◽  
pp. 738-741
Author(s):  
Ki Beom Kim ◽  
Jong Suk Lee ◽  
Do Gyeum Kim

Most power plant structures- including the nuclear reactors- are constructed mainly out of concrete and are exposed to harsh environmental conditions as they are constructed near the sea. The establishment of an effective management method to prevent and counter aging degradation is very important in the perspective of life cycle management due to the characteristics of structures where complete replacement of problem sources is not possible. When establishing a plan for aging degradation of concrete structures, the key focus should be on the fact that the molecule of concrete is not as tight as steel and is a porous material with many pore spaces making it vulnerable to salt damage, neutralization and other key factors to penetrate the surface and degrades the durability of the structure. Thus, this study aims to create a new application system geared toward the usage of new material base surface penetration supplements and the characteristics of power plants to protect the concrete structure from degradation factors and recover the capability of the structure.


2005 ◽  
Vol 70 (7) ◽  
pp. 995-1003 ◽  
Author(s):  
Dragana Cickaric ◽  
Ivana Dersek-Timotic ◽  
Antonije Onjia ◽  
Ljubinka Rajakovic

A suppressed ion chromatography (IC) technique, using a carbonate/hydrogen carbonate or a hydroxide eluent, has been evaluated as a monitoring tool for the detection of major anions (F-, Cl-, NO3-, PO43- and SO42-) in ultra pure water and condensed steam from thermal power plants. An electrical conductivity detector with an anion-exchange column (IonPac AS14), an auto self-regenerating suppressor (ASRS), and an isocratic high-pressure pump system were used for the detection of low concentrations of inorganic anions. It was shown that the suppressed IC technique provides a suitable means for preventing possible damage to generating equipment in power plants. The detection limits of the method for the anions of interest were < 0.3 ?g/L.


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