Search Results for « Steam turbine generator »

Abstract In a 1954 paper (1) we presented various measures of the uncertainties of the data of precision steam-consumption tests on medium-sized steam turbine-generator sets, deriving them from the over-all results of the tests and from comparisons of duplicate instruments used in them. In the present paper we describe briefly the instruments and their calibrations, and we present typical calibration corrections. The instruments and their calibrations have been used for many years. Most comparisons presented here demonstrate that instruments of high precision have small calibration corrections which are significant and that most corrections do not change significantly. They also show that these instruments can be relied upon in very precise turbine steam-consumption tests.

Abstract Many steam turbine modernizations projects evaluated today are viewed by operators with focus to mitigate risk, minimize outage time, and maintain reliability, while getting the best cost-benefit possible. This technical paper will take you through the steps on how the owner/operator, Gainesville Regional Utilities (GRU), began evaluating traditional modernization approaches for their JR Kelly Unit 8, re-evaluating alternatives from multiple suppliers, and eventually selecting a Brownfield Steam Turbine Generator Exchange (BEX) as the most technically viable and economic solution to support their current and future power plant needs. Utilizing a brownfield exchange concept, known most typically to be associated with gas turbines, this approach involved removal of the entire original steam turbine-generator unit and replacement with new latest technology steam turbine-generator components, while re-using the turbine building, condenser cooling, and electrical connections. Siemens Energy Inc. (Siemens Energy) provided this Florida utility with a comprehensive package which included demolition of the existing turbine-generator equipment, integration engineering services, supply and delivery of a new steam turbine-generator set, gear box, field installation components, technical field assistance services, field installation services, start up and commissioning services, and performance testing services. Major components were skid mounted and installed onto existing turbine deck. The project was implemented in Spring 2021 during the height of the Covid pandemic, which presented additional challenges to the stakeholders and will be discussed. Authors include GRU Project Manager, GRU Manager of Outage Planning & Major Maintenance, and Siemens Energy Steam Turbine Modernization Project Lead, who will share their critical perspectives of the project.

Abstract Precision steam-rate or heat-rate tests on turbine-generator sets insure their owners and builders that the sets equal guaranteed and expected performance. The writer’s company made such tests on 22 medium-sized sets rated 2500 to 18,750 kw between 1946 and 1952. Most were tested at its plant at Lynn, Mass., on facilities for loads of 15,000 kw or less, with steam up 1500 psig and 1000 F. This paper presents the test methods and results, emphasizing an analysis of their accuracy. This analysis shows: (a) 0.5 per cent uncertainty in manufacturing and factory-testing these sets; (b) 0.3 per cent as the day-to-day uncertainty of tests; (c) 0.17 per cent uncertainty to be charged to the instrumentation of factory tests; (d) probably 0.5 per cent poorer performance of tests in the owner’s plants than in factory tests. This analysis confirms our belief of many years that it is proper to accept or reject a turbine-generator set on the basis of precision tests, with no allowance for test error.

A steam turbine generator is an electromechanical system which converts heat energy to electrical energy. In this paper, the modelling, design and analysis of a simple steam turbine generator have done using Matlab/Simulink Toolbox. The open loop system have been analyzed to have an efficiency of 76.92 %. Observer based & linear quadratic regulator (LQR) controllers have been designed to improve the generating voltage. A comparison of this two proposed controllers have been done for increasing the performance improvement to generate a 220 DC volt. The simulation result shows that the steam turbine generator with observer based controller has a small percentage overshoot with minimum settling time than the steam turbine generator with LQR controller and the open loop system. Finally, the steam turbine generator with observer based controller shows better improvement in performance than the steam turbine generator with LQR controller.

PT. Kurnia Batang Hari is a palm oil processing factory into palm oil. At PT KBHB there is a tool called “Steam Turbine Generator Type RB5” which functions as a power generator. This study aims to determine the effect of the load on the mass flow rate, turbine generator power, and determine the efficiency of the steam turbine generator. The research method is to take boiler and turbine data directly for 1 week. Get the enthalpy value from the steam table and can calculate based on the research objective. Based on the research conducted, it was found that the highest average flow rate on Wednesday was 3.48 kg/s. The highest generator power yield on Sunday is 1661 KW. The results of the calculation of the highest average generator efficiency on Sundays are 57.11%. Conclusion It can be seen that if the load on the turbine is getting bigger, then the mass flow rate of the steam will be even bigger and it also depends on the pressure of the steam entering and leaving the turbine. The average load of 1 week borne by the generator is 885 KW and the mass flow rate is 3.81 kg/s. The generator power produced during processing is an average of 1 week, which is 1600 KW. The average efficiency of the generator in 1 week is 55.52% on Sunday.

The optimization of the steam parameters of the heat recovery steam generators (HRSG) of Combined Cycle Gas Turbines (CCGT) has become one of the important means to reduce the power generation cost of combined cycle units. Based on the structural theory of thermoeconomics, a thermoeconomic optimization model for a triple pressure reheat HRSG is established. Taking the minimization of the power generation cost of the combined cycle system as the optimization objective, an optimization algorithm based on three factors and six levels of orthogonal experimental samples to determine the optimal solution for the high, intermediate and low pressure steam pressures under different gas turbine (GT) operation strategies. The variation law and influencing factors of the system power generation cost with the steam pressure level under all operation strategies are analyzed. The research results show that the system power generation cost decreases as the GT load rate increases, T4 plays a dominant role in the selection of the optimal pressure level for high pressure (HP) steam and, in order to obtain the optimum power generation cost, the IGV T3-650-F mode should be adopted to keep the T4 at a high level under different GT load rates.