Development of Advanced Gas Turbine

Author(s):  
H. Matsuzaki ◽  
Y. Suto ◽  
Y. Kanazawa ◽  
M. Sato ◽  
I. Kobayashi ◽  
...  

There is a strong demand for efficient and clean power generation systems which can cope with the energy shortage and the global environmental problems. As one of the measures to meet this demand, Tohoku Electric Power Company, in cooperation with the three domestic gas turbine manufacturers, has been developing since 1989 the key technologies for the next generation high efficiency gas turbine of a 1,500°C class of firing temperature. The aim is to achieve over 55% (LHV) thermal efficiency in a LNG comhined cycle power plant. In this research, Tohoku Electric Power Company have developed: (1) advanced cooling schemes for 1st stage vanes and blades, (2) heat resistant materials for 1st stage vanes and blades and (3) high temperature low NOx combustor, which are the key technologies required for realizing a 1,500 °C class high efficiency gas turbine with a potential for practical use.

Author(s):  
Yoshiaki Nishimura ◽  
Sadahiro Ohno ◽  
Shinya Ishikawa ◽  
Junichiro Masada ◽  
Kazumasa Takata

As global warming becomes increasingly serious, Japan has committed to reduce the CO2 emission by 25% from 1990 levels in Japan with preconditions by the end of 2020. To reach such the difficult target, resources and energy utilizations should be more efficient than before. Tohoku Electric Power Company, Inc. (Tohoku-EPCO) has been adopting the cutting-edge gas turbines for combined cycle power plants to contribute to the reduction of energy consumption and pollutant emission. Now Tohoku-EPCO and Mitsubishi Heavy Industries, Ltd. (MHI) have started a study of next generation gas turbines to further improve the gas turbine combined cycle (GTCC) power plants efficiency. Tohoku-EPCO and MHI have invented a “closed circuit air cooling system” and a trial design of the closed circuit air cooled combustor is now being conducted as a collaborative project. Besides, the material technology development is being conducted for the further increase in the turbine Row 1 vane inlet temperature (TIT) in future.


Author(s):  
A. V. Beloglazov ◽  
A. G. Rusina ◽  
O. V. Fomenko, ◽  
D. A. Pekhota, ◽  
V. A. Fyodorova

THE PURPOSE. To describe the use of ABC and HML-methods for predicting the volume of emergency stock for main electrical equipment accessory parts. To describe the content of the methods, consider the problems and complexity of use. To propose an algorithm constructing a new method for forming an emergency stock based on the statistical data of an electric power company. METHODS. Various practical tasks can arise in electric power company. We have determined the most effective method for solving them using a numerical experiment. The highest efficiency of the ABC method is shown. The results of statistical processing will help to improve forecast precision using the ABC-method. RESULTS. The complex of statistical data and ABC-analysis showed high efficiency in short-term forecasting of electrical equipment components emergency stocks. Authors found that HML-analysis provides less precision in predicting the requirement of equipment. CONCLUSION. The ABC method is the most promising for implementation the specific task. The use of the method helps to accurately predict emergency stocks of company electrical equipment. The HML-method does not allow to precision planing the amount of required equipment.


Author(s):  
A. V. Beloglazov ◽  
A. G. Rusina ◽  
O. V. Fomenko, ◽  
D. A. Pekhota, ◽  
V. A. Fyodorova

THE PURPOSE. To describe the use of ABC and HML-methods for predicting the volume of emergency stock for main electrical equipment accessory parts. To describe the content of the methods, consider the problems and complexity of use. To propose an algorithm constructing a new method for forming an emergency stock based on the statistical data of an electric power company. METHODS. Various practical tasks can arise in electric power company. We have determined the most effective method for solving them using a numerical experiment. The highest efficiency of the ABC method is shown. The results of statistical processing will help to improve forecast precision using the ABC-method. RESULTS. The complex of statistical data and ABC-analysis showed high efficiency in short-term forecasting of electrical equipment components emergency stocks. Authors found that HML-analysis provides less precision in predicting the requirement of equipment. CONCLUSION. The ABC method is the most promising for implementation the specific task. The use of the method helps to accurately predict emergency stocks of company electrical equipment. The HML-method does not allow to precision planing the amount of required equipment.


1981 ◽  
Vol PAS-100 (12) ◽  
pp. 4995-5001 ◽  
Author(s):  
Takeichi Sakurai ◽  
Kiyoshi Goto ◽  
D. Klapper ◽  
K. Carlsen

Author(s):  
Mark A. Paisley ◽  
Donald Anson

The Biomass Power Program of the US Department of Energy (DOE) has as a major goal the development of cost-competitive technologies for the production of power from renewable biomass crops. The gasification of biomass provides the potential to meet his goal by efficiently and economically producing a renewable source of a clean gaseous fuel suitable for use in high efficiency gas turbines. This paper discusses the development and first commercial demonstration of the Battelle high-throughput gasification process for power generation systems. Projected process economics are presented along with a description of current experimental operations coupling a gas turbine power generation system to the research scale gasifier and the process scaleup activities in Burlington, Vermont.


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