scholarly journals PERENCANAAN PEMELIHARAAN MOTOR DIESEL DENGAN METODE RCM (RELIABILITY CENTERED MAINTENANCE) PADA PLTG TELUK LEMBU PEKANBARU

2020 ◽  
Vol 7 (1) ◽  
pp. 77-85
Author(s):  
Darno
Keyword(s):  
Power Plant ◽  
Electrical Energy ◽  
Electricity Production ◽  
Time Interval ◽  
Time To Failure ◽  
Generator System ◽  
Reliability Centered Maintenance ◽  
Optimal Maintenance ◽  
Gas Power Plant ◽  
Mean Time

Teluk Lembu Gas Power Plant (PLTG) is one type of power plant that uses the power of burning fuel and high pressure air. To be able to meet the needs of electrical energy on the island of Sumatra, especially in the Riau region,electricity production must not experience a decrease in productivity due to equipment damage. Obstacles that arise are frequent downtime unexpectedresulting in  the production  of electricity is  interrupted or  even  to  cause derating caused by damage to the operational when the engine is running. This study aims to provide recommendations  for  equipment  maintenance  andtime  intervals  optimal  inspectionin  the generator system. The research method used is Reliability Centered Maintenance (RCM) withanalysis  quantitative.  Where  are  the  stages  of  implementing the  RCM  method,  namely determining thecomponents criticalin the PLTG generator engine, determining thevalues, determining the Mean Time to Failure (MTTF) and Mean Time to Repair (MTTR)time interval optimal maintenance,  and making a table of  causes of damage to  thecomponents  generator engine. After analyzing it, it was found that thecomponent criticalof PLTG Teluk Lembu is the Diesel Motor. This is obtained based on the component with the highest frequency of damage, namely 13 damage during a period of 1 year. From the results of data processing, it is obtained that the MTTF value is 0.92441 hours and the MTTR value is 0.89014 hours. Theinspection time interval optimalis 25 days, so it is advisable to carry out Corrective and Preventive maintenance activities for Diesel Motorcycles periodically every 25 days (PM 25D) in order to increase the reliability of the Diesel Motor

scholarly journals ANALISIS POTENSI PENGHEMATAN PADA PLTU UNIT 5 DENGAN AUDIT ENERGI PADA MOTOR PEMAKAIAN SENDIRI DI PT PJB MUARA KARANG

2018 ◽  
Vol 9 (1) ◽  
pp. 1-7
Author(s):  
Redaksi Tim Jurnal
Keyword(s):  
Energy Consumption ◽  
Power Plant ◽  
Performance Test ◽  
Energy Savings ◽  
Quality Measurement ◽  
Electrical Energy ◽  
Test Method ◽  
Electricity Production ◽  
Voltage Source ◽  
Personal Use

PT PJB Muara Karang power plant is an industry with a large electrical energy consumption for auxiliary power. In ISO50001 itensitas Energy Consumption (IKE) is a great need to audit energy consumption. In the contract the company's performance also set a percentage of personal use should not exceed 6% of the electricity production. Currently Posentase usage of own consumption at power plant unit 5 is greater than the power plant unit 4. It is necessary for an energy audit for the usage of its own in order to decrease the percentage of personal use in the power plant 5 0.5% of the current conditions and find energy savings opportunities in the power plant unit 5.To analyze this problem using energy audits, analyzes the performance test method using "gate cycle" and testing the quality of the voltage source by using the power quality measurement analysis. Having found the equipment with the largest energy comsumtion fish bone tools used to find the main cause of this disorder.

scholarly journals Effect of Grid Instability on Power Generation System's Reliability

2020 ◽  
pp. 27-37
Author(s):  
Joseph Benedict Bassey ◽  
Isaac F. Odesola
Keyword(s):  
Power Generation ◽  
Power Plant ◽  
Failure Rate ◽  
System Reliability ◽  
Power Distribution ◽  
Power Plants ◽  
Time To Failure ◽  
Generation System ◽  
Reliability Indices ◽  
Mean Time

Aims: Reliability assessment of power generation system may be performed with the concept of system adequacy, security or both. Grid being a major component in the power distribution chain is seen to have some influence on the state of the generation system reliability because of the perturbation that may arise from it. In this study, the generation system reliability is evaluated using both the system adequacy and security concept. Study Design: To capture the system security problems attributed to grid disturbance, the generation system is structured into two component systems (1 - generation component and 2 - transmission component) with a series arrangement. Methodology: The reliability indices such as, mean time to failure, mean time to repair, failure rate and repair rate are assessed on component bases and with respect to the entire generation system. Results: The effect of failure rate of the transmission component on the entire generation system failure rate was evaluated as 66.25%, 55.55%, 33.33%, 55.00% and 35.72% in year 2013, 2014, 2017 2018 and 2019 respectively for FIPL Power Plant and 52.94%, 82.35%, 61.38% and 100% effect was evaluated in the year 2016, 2017, 2018 and 2019 respectively for GT5 of Omoku Power Plant. Conclusion: These results showed that there is a significant influence of grid disturbances on the reliability state of the two gas turbine power plants in Nigeria. Measures on possible reliability state improvement of the power generation systems were suggested to include training and retraining of technical personnel on the management of major equipment in the generation and transmission stations. 

scholarly journals Perencanaan Perawatan Mesin Welding Mig Pada Produksi Sub Frame Di PT. XYZ Dengan Metode Reliability Centered Maintenance (RCM)

2021 ◽  
Vol 6 (1) ◽  
pp. 26-38
Author(s):  
Zulkani Sinaga ◽  
Solihin Solihin ◽  
Mochamad Ardan
Keyword(s):  
Failure Mode ◽  
Time To Failure ◽  
Risk Priority Number ◽  
Mean Time To Failure ◽  
Effect Analysis ◽  
Mean Time Between Failure ◽  
Reliability Centered Maintenance ◽  
Mean Time To Repair ◽  
Mean Time

Pemeliharaan merupakan suatu proses yang dilakukan untuk menjaga keandalan, ketersediaan dan sifat mampu merawat komponen atau mesin. Program pemeliharaan yang efektif dan efisien akan mendukung peningkatan produktifitas sistem produksi. PT. XYZ merupakan perusahaan nasional bergerak dibidang karoseri truck mengalami penurunan produktivitas disebabkan belum adanya strategi perawatan khususnya mesin welding jenis MIG sehingga sering terjadi downtime mesin mengakibatkan proses produksi menjadi terhambat. Berdasarkan alasan tersebut dibutuhkan program pemeliharaan yang efektif dan efisien dengan menerapkan analisis menggunakan metode  Reliability Centered Maintenance (RCM) guna menciptakan metode pemeliharaan yang akurat, fokus, dan optimal dengan tujuan mencapai keandalan yang optimal. Penelitian dilakukan dengan mengikuti langkah-langkah perhitungan berdasarkan Failure Mode and Effect Analysis (FMEA) dan penetapan strategi pemeliharaan dengan dibantu menggunakan software minitab 18. Hasil penelitian diperoleh Risk Priority Number (RPN) untuk komponen wire feeder sebesar 611, dengan pola distribusi waktu normal, nilai parameter median 61,9391 dan standar deviasinya 48,6053, nilai Mean Time To Failure (MTTF) sebesar 61,9391 jam dan selang interval waktu penggantian komponen sebesar 10,1349. Berdasarkan hasil perhitungan performance maintenanace diketahui nilai Mean Time Between Failure (MTBF) antara 31,92 ~ 72,09 jam, Mean Time To Repair (MTTR) anatara 1,19 ~ 1,78 jam dan availability antara 94,67% ~ 98,24%, setelah dilakukan tindakan perawatan pencegahan selama periode tersebut dihasilkan nilai availability sebesar 98,01% artinya kerusakan pada komponen wire feeder dapat teratasi.

Effect of Load Growth on PLTH Baron Techno Park Performance

2018 ◽  
Vol 1 (4) ◽  
Author(s):  
Mychael Gatriser Pae ◽  
Tegar Prasetyo ◽  
Suharyanto Suharyanto ◽  
T. Haryono ◽  
Ridwan Budi Prasetyo
Keyword(s):  
Power Plant ◽  
Renewable Energy Sources ◽  
Electricity Consumption ◽  
Electrical Energy ◽  
Electricity Production ◽  
Electrical Load ◽  
Plant System ◽  
Hybrid Power ◽  
Load Growth ◽  
Hybrid Power Plant

The reliability of stand-alone and hybrid power plant systems was dependent on electrical loads that the system must supply. For example, on renewable energy sources (RES), Reviews of those systems needs to be calculated well before the development process. One of the most important processes in the initial calculation is the electrical load that must be supplied by the system. The electrical load has a major influence on the amount of power generating capacity. A power plant that has higher electricity production than the load to be fulfilled was considered capable of meeting the system electrical load requirements. However, in terms of the reliability, it is considered as a loss because it will affect the life of the components and the high cost of operating from the system. Therefore, this research discusses the effect of load growth on hybrid power plant system performance of Baron Techno Park. The result of the research shows that the total electricity production of Baron Techno Park hybrid power plant system is 319.695 kWh/year with Net Present Cost (NPC) is $560.077 and the cost of energy (COE) is $0.64/kWh. Total electricity consumption of the PLTH Baron Techno Park is 67.413 kWh/year with total excess electrical energy is 245,547 kWh/year. Load growth of 5%, 10%, 15%, and 20% of the total current load affect the consumption of electric energy, excess electrical energy, and COE. The higher the load growth will affect the total electricity consumption that is increasingly higher so that the total excess electrical energy is lower. This research found that the performance of the system is not influenced by load growth. The highest performance of the system is resulted by the wind turbine of 72.62%, followed by solar panels of 18.82%, and biodiesel of 8.56%.

scholarly journals Perancangan Maintenance Management Informastion System untuk Unit Pemadam Kebakaran (Studi Kasus : PERUSAHAAN X)

2017 ◽  
Vol 3 (2) ◽  
pp. 219-224
Author(s):  
Arief Samuel Gunawan ◽  
Ari Setiawan ◽  
Febryci Legirian
Keyword(s):  
Information System ◽  
Management Information System ◽  
Maintenance Management ◽  
Time To Failure ◽  
Management Information ◽  
Total Productive Maintenance ◽  
Mean Time To Failure ◽  
Reliability Centered Maintenance ◽  
Mean Time

Unit Pemadam Kebakaran Perusahaan X merupakan unit kerja yang bertugas melakukan pencegahan dan penanggulangan kebakaran di Perusahaan X. Unit ini dilengkapi dengan peralatan dan perlengkapan kerja, salah satunya yaitu mobil pemadam kebakaran. Salah satu permasalahan yang dihadapi oleh unit ini adalah mobil pemadam kebakaran sering mengalami kerusakan pada saat digunakan. Hal ini disebabkan karena umur komponen yang akan habis dan belum dilakukan penggantian. Umumnya bagian pemeliharaan belum memiliki dokumentasi umur komponen dari setiap mobil pemadam kebakaran. Sehingga petugas pemadam kebakaran tidak dapat mengantisipasi kerusakan yang akan terjadi saat mobil pemadam kebakaran digunakan. Untuk menanggulangi permasalahan tersebut, dikembangkan Maintenance Management Information System (MMIS) yang dapat memberikan informasi perkiraan umur komponen mobil. Metode Reliability Centered Maintenance (RCM) digunakan pada MMIS untuk menentukan Mean Time To Failure (MTTF). Metode Total Productive Maintenance (TPM) juga digunakan pada MMIS untuk merencanakan jadwal pemeliharaan sehingga dapat meminimalisir kerusakan saat mobil digunakan. Untuk mendukung MMIS, diterapkan menu untuk konfigurasi yaitu, data pegawai, inventaris mobil pemadam kebakaran serta inventori suku cadang dan pengadaan barang yang akan berhubungan dengan biaya pemeliharaan.

Sensitivity and reliability evaluation for a thermal power plant subject to complex failures and human error

2019 ◽  
Vol 15 (5) ◽  
pp. 895-912 ◽  
Author(s):  
Amit Kumar
Keyword(s):  
Power Plant ◽  
Thermal Power Plant ◽  
Design Methodology ◽  
Human Error ◽  
Thermal Power ◽  
Time To Failure ◽  
Content Type ◽  
Critical Components ◽  
Continuous Power ◽  
Mean Time

Purpose The purpose of this paper is to analyze a thermal power plant (TPP) by taking into consideration its key components, namely, boiler, turbine, conveyor and generator, which are handled by a human operator. It is well known fact that the continuous power generation through a power plant depends on the reliability/availability of its components. Design/methodology/approach The various performance measures of a TPP are obtained by using mathematical modeling, Markov process and supplementary variable technique. Findings Reliability, i.e. mean time to failure with respect to different components of a TPP, has been obtained and demonstrated with the help of graphs. Critical components of the system are identified through sensitivity analysis. Originality/value In the present paper, a mathematical model based on the functioning of a TPP has been developed. Conclusions in this paper are good references for the design of a TPP.

An Improved Methodology to Design Large-Scale Photovoltaic Power Plant

2017 ◽  
Vol 140 (1) ◽  
Author(s):  
Ali Durusu ◽  
Ali Erduman
Keyword(s):  
Power Plant ◽  
Case Studies ◽  
Social Life ◽  
Energy Demand ◽  
Power Plants ◽  
Large Scale ◽  
Electrical Energy ◽  
Optimal Number ◽  
Electricity Production ◽  
Pv Modules

A secure and reliable supply of energy is important for economic stability and even in social life. Increasing human population, industrialization, and rising living standards lead to increased electrical energy demand. Uncertainties in oil prices, shortage of fossil fuel reserves, and environmental pollution from conventional fuels leads solar energy as an alternative resource for electricity production. The share of installed photovoltaic (PV) capacity as a percent of total installed power generating capacity is increasing every year. In this study, an improved methodology to design large-scale PV power plant is proposed. The proposed methodology is performed for designing optimal configurations of PV power plants. The design methodology is performed using commercially available PV modules and inverters. In addition, solar radiation, ambient temperature, wind speed, shadow effect, and location and shape of plant field are taken into consideration as input parameters. The alternatives and parameters are evaluated with the purpose of minimizing the levelized cost of generated electricity (LCOE). The methodology includes the use of a genetic algorithm (GA) for determining the optimal number of PV modules and inverters, optimum tilt angle of PV modules, required installation area for the plant and optimum cable cross section and lengths. In the paper, the methodology is implemented, and case studies and results using pvsyst software for the same case studies are compared with each other.

scholarly journals Optimization of Gas Turbine Maintenance Scheduling in PLN Tanjung Datuk Pekanbaru

2020 ◽  
Vol 64 (3) ◽  
pp. 88-93
Author(s):  
Bambang Nofri ◽  
◽  
Anita Susilawati ◽  
Romy Romy ◽  
◽  
...  
Keyword(s):  
Gas Turbine ◽  
Turbine Blade ◽  
Maintenance Scheduling ◽  
Optimal Scheduling ◽  
Turbine Engines ◽  
Optimal Time ◽  
Time To Failure ◽  
Optimal Maintenance ◽  
Critical Components ◽  
Mean Time

This study discusses determining the optimal scheduling for maintenance of gas turbine engines in PLN Tanjung Datuk Pekanbaru. The optimal maintenance scheduling is done on critical components, namely turbine blade and AVR (Automatic Voltage Regulator) using Monte Carlo simulation. The optimal scheduling maintenance scenario is done by generating random numbers from MTTF (Mean Time To Failure) and MTTR (Mean Time To Repair) values and data validity testing. The results of research for optimal checking of turbine engines are once every 10 days with the reliability of turbine engines 43%. The optimal time for repairing a gas turbine in case of damage is 1.49 hours. The checking time for critical components of the turbine blade is 9 days and AVR of 12 days. The scenario of preventive maintenance is likely need special repair or replacement periodically that is 117 days for turbine blade components and 173 days for AVR.

scholarly journals Eco-electric energy generator system using human exercise activities

2018 ◽  
Vol 197 ◽  
pp. 11010
Author(s):  
Frans Setya Prabowo ◽  
Porman Pangaribuan ◽  
Denny Darlis
Keyword(s):  
Power Plant ◽  
Electric Energy ◽  
Control Unit ◽  
Electrical Energy ◽  
Human Motion ◽  
Generator System ◽  
Turn On ◽  
Testing Stage ◽  
Generator Voltage ◽  
Human Need

Today human need for electrical energy is very high. For that we need to find an alternative power plant renewable energy, especially environmentally friendly. One type of an environmenttally friendly power plant is a generator which is harnessing human-generated energy when exercising by using a static bike. This equipment is used on average 6 hours per day at 5.00-8.00 hours and 17:00 to 20:00 hours. In this research, a power plant system by utilizing human motion exercising from wheel rotary mechanics, generators, BCU (Battery Control Unit), and battery will be designed. The rider can see from the LCD when the battery condition is full, the battery is charge, the battery does not get energy from the generator, inverter on, inverter off, battery voltage and generator voltage. At the testing stage, 14 participants cycling for 15 minutes produced electrical energy on average of 594 Joules, with an age range of 20-23 years old. The resulting energy can turn on the light 3 Watt between 160 -251 seconds or 198 seconds on average. When accumulated 14 cycled samples with 15 minutes each (total 210 minutes) can generate 8313 Joule electric energy and can turn on 3 Watt lamp for 46 minutes 11 seconds.

Research on Maintenance Strategy of Large-Scale Grab Ship Unloader Based on Reliability

2013 ◽  
Vol 770 ◽  
pp. 289-293
Author(s):  
Guang Jun Liu ◽  
Bang Xin Han ◽  
Guang Yu Tan ◽  
Guang Hui Li ◽  
Yuan Tao Sun
Keyword(s):  
Large Scale ◽  
Distribution Model ◽  
Time To Failure ◽  
Maintenance Strategy ◽  
Failure Data ◽  
Reliability Centered Maintenance ◽  
Maintenance Time ◽  
The Mean ◽  
Scientific Decision ◽  
Mean Time

t is hard to acquire the failure data of ship unloader and the mean time to failure is not independent identically distributed, and there are many defects existed in the maintenance method such as high cost and bad effect. In this work, we propose a method based on Weibull Distribution model to deal with the failure data of a large-scale grab ship unloader, build up the model of MTBF (Mean Time Between Failure) and preventive maintenance time, and show the example with failure data, which provides references to maintenance of the ship unloader. Finally, we present the decision process of the reliability-centered maintenance strategy, maintenance type of the grab ship unloader and the maintenance of the key parts, which provides scientific decision support for the maintenance of the ship unloader equipments.

Sign in / Sign up

Export Citation Format

Share Document