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Steam Turbine Performance Analysis Based on Operational Parameter Variation: Analisis Kinerja Turbin Uap Berdasarkan Variasi Parameter Operasional Luthfi Frans Setiawan; .A’rasy Fahruddin
Indonesian Journal of Innovation Studies Vol. 27 No. 1 (2026): January
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/ijins.v27i1.2085

Abstract

This study analyzes the performance of a steam turbine in relation to operational parameters within a power generation system. General Background: Steam turbines play a critical role in converting thermal energy into mechanical energy in power plants. Specific Background: Turbine performance is influenced by parameters such as steam flow rate, pressure, and blade configuration, which determine efficiency and output power. Knowledge Gap: Previous studies have examined turbine performance, yet limited attention has been given to detailed evaluation under specific operational conditions in practical systems. Aims: This research aims to evaluate the performance characteristics of a steam turbine by analyzing efficiency and operational parameters. Results: The findings show that variations in steam flow and operational conditions produce measurable differences in turbine efficiency and output, with certain conditions yielding optimal performance. Novelty: The study provides a focused evaluation of turbine performance using real or simulated operational parameters within a controlled framework. Implications: The results offer practical insights for optimizing turbine operation to achieve better energy conversion in power plant systems. Keywords: Steam Turbine, Performance Analysis, Efficiency, Power Plant, Energy Conversion Key Findings Highlights Operational parameters determine variations in output and system behavior Specific conditions yield peak operational performance during evaluation Measured data shows consistent patterns across tested scenarios
Analyisis Of Boiler Reliability Maintenance System With Availability Ratio At PT. XXX: Analisa Sistem Perawatan Keandalan Boiler Dengan Rasio Availability Di PT. XXX Luthfi Frans Setiawan; Edi Widodo
Procedia of Engineering and Life Science Vol. 7 (2025): Prosiding Seminar Nasional dan Rakernas PORMIKI X
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/pels.v7i0.1564

Abstract

General Background Machinery and equipment play a vital role in determining organizational productivity within the commercial noodle production sector. Specific Background Steam-generating vessels utilizing coal fuel are essential for supplying heat during the steaming, drying, and frying operations in these facilities. Knowledge Gap Irregular servicing protocols and unexpected mechanical breakdowns frequently cause extended machine stoppage, leading to substantial output target losses and compromised operational efficiency. Aims This study investigates appropriate servicing systems and calculates equipment readiness metrics to prevent permanent machine disruptions. Results Quantitative observation utilizing primary operational data revealed an 89 percent readiness metric, indicating an 11 percent failure probability for the steam-generating systems. Key mechanical issues identified include silica scale formation, component degradation from uncrushed coal, and hopper corrosion. Proposed solutions encompass daily to annual preventive schedules, regular water blowdowns of 244 liters to reduce dissolved solids, mechanical cleaning, and anti-corrosion coating applications. Novelty The research formulates a specific component replacement schedule strictly based on total minimum downtime calculations for industrial steam systems. Implications Implementing these scheduled preventive and corrective procedures minimizes operational stoppage, preserves continuous production flow, and significantly suppresses major repair costs. Highlights: Quantitative observation identified silica scale, hopper corrosion, and screw feeder degradation as primary breakdown causes. Calculating operational uptime versus standby periods revealed an 89 percent equipment readiness metric with an 11 percent failure probability. Scheduled component replacement based on total minimum downtime calculations significantly decreases machine stoppage and prevents production losses. Keywords: Minimum Downtime, Corrective Procedures, Preventive Scheduling, Steam Generation, Mechanical Degradation