The Experts below are selected from a list of 4401 Experts worldwide ranked by ideXlab platform

Tahsin Sevgel - One of the best experts on this subject based on the ideXlab platform.

  • numerical and experimental analysis of pulverized Coal Mill classifier performance in the soma b power plant
    Fuel Processing Technology, 2014
    Co-Authors: Selcuk Atas, Ugur Tekir, Mehmed Akif Paksoy, Ahmet Celik, Metin Cam, Tahsin Sevgel
    Abstract:

    Abstract Coal particle separation in a classifier after the pulverization process in power plants (PP) is very important to obtain the desired level of Coal fineness while reducing unburned carbon losses and slagging potential. In this study, flow inside of the Coal Mill classifier of Soma B PP suffering from low boiler efficiency due to high unburned carbon loss was numerically analyzed with respect to its initial flow measurements and isokinetic Coal samples at the exit of the classifier as a base case. In the numerical analyses, a Eulerian/Lagrangian approach and a Reynolds stress turbulence model (RSTM) were applied. To increase Coal separation efficiency, four different designs were numerically analyzed and the results were compared to the results of the base case by accounting for the total mass flow rate to the burners and Coal size distribution at the outlet of the classifier. Among them design D-21 was chosen and applied to the PP Mill classifier. Finally, this design was tested in a PP with different inner plate adjustments, and there was good agreement between the numerical and experimental results with a maximum difference of 2.5% for the individual Coal size distributions and a cumulative maximum difference of 5% for the total Coal size distributions. The assumption of a decreasing regrind outlet of Coal flow rate by plate adjustment in the classifier for D-21 appears to be sufficient to increase total Coal flow rate to the burners. In the tests, operating the Mill at lower load conditions resulted in a finer Coal size distribution at the outlet.

Selcuk Atas - One of the best experts on this subject based on the ideXlab platform.

  • numerical and experimental analysis of pulverized Coal Mill classifier performance in the soma b power plant
    Fuel Processing Technology, 2014
    Co-Authors: Selcuk Atas, Ugur Tekir, Mehmed Akif Paksoy, Ahmet Celik, Metin Cam, Tahsin Sevgel
    Abstract:

    Abstract Coal particle separation in a classifier after the pulverization process in power plants (PP) is very important to obtain the desired level of Coal fineness while reducing unburned carbon losses and slagging potential. In this study, flow inside of the Coal Mill classifier of Soma B PP suffering from low boiler efficiency due to high unburned carbon loss was numerically analyzed with respect to its initial flow measurements and isokinetic Coal samples at the exit of the classifier as a base case. In the numerical analyses, a Eulerian/Lagrangian approach and a Reynolds stress turbulence model (RSTM) were applied. To increase Coal separation efficiency, four different designs were numerically analyzed and the results were compared to the results of the base case by accounting for the total mass flow rate to the burners and Coal size distribution at the outlet of the classifier. Among them design D-21 was chosen and applied to the PP Mill classifier. Finally, this design was tested in a PP with different inner plate adjustments, and there was good agreement between the numerical and experimental results with a maximum difference of 2.5% for the individual Coal size distributions and a cumulative maximum difference of 5% for the total Coal size distributions. The assumption of a decreasing regrind outlet of Coal flow rate by plate adjustment in the classifier for D-21 appears to be sufficient to increase total Coal flow rate to the burners. In the tests, operating the Mill at lower load conditions resulted in a finer Coal size distribution at the outlet.

Husnul Hidayat - One of the best experts on this subject based on the ideXlab platform.

  • PENGUJIAN PERFORMANCE SISTEM HAMMER PADA CHAMBER Coal Mill INDARUNG IV PT. SEMEN PADANG
    2019
    Co-Authors: Husnul Hidayat
    Abstract:

    Alat dan mesin pabrik diproduksi dengan tujuan untuk meningkatkan kemampuan kerja dan mutu hasil olahan sehingga meningkatkan keuntungan dari pabrik tersebut. Hammer pada chamber Coal Mill adalah mesin yang digunakan untuk mempermudah buruh untuk megatasi tersangkutnya serbuk batu bara (fine Coal) pada dinding chamber. Fine Coal yang tersangkut biasanya dipukul oleh pekerja dengan martil, sehingga menurunkan produktivitas pabrik, menambah kerja buruh pabrik, serta biaya operasional besar. Untuk mengatasi hal tersebut, dibutuhkan inovasi baru yaitu membuat sistem hammer pada chamber tersebut dengan menggunakan mekanisme pegas. Hammer pada chamber Coal Mill dibuat melalui proses manufaktur seperti pemotongan, pembubutan, frais, sekrap, penggerindaan, pengelasan, pelubangan dan perakitan. Kemudian dilakukan pengujian performance untuk massa input fine Coal 1500 gr/pengujian dengan variasi kadar air sampel 40%, 30%, 20%, 10%, dan 0%. Variasi mesin yaitu kecepatan putaran poros cam sebesar 40, 80, 120, 240, 480rpm dan jarak tekan pegas 5, 10, 15, 25, 35mm. Berdasarkan percobaan yang telah dilakukan didapatkan kinerja optimal dari mesin pada putaran 120rpm, dan jarak tekan pegas 15mm. Pada putaran dan defleksi optimal tersebut didapatkan nilai efisiensi optimal untuk masing-masing kadar air yaitu kadar air 40% efisiensinya 39,8%; 30%=52,87%; 20%=71,6%; 10%=82,93%; 0%=100% serta kerusakan pada chamber bias diminimalisir. Kata kunci : Hammer, Chamber Coal Mill, Produktivitas, Mekanisme pegas, Proses manufaktur, Putaran poros cam, Jarak tekan pegas, Kinerja optimal, Efisiensi optimal

Wang Pingyang - One of the best experts on this subject based on the ideXlab platform.

  • Thermal power plant as contributed by Coal Mill control
    POWERCON '98. 1998 International Conference on Power System Technology. Proceedings (Cat. No.98EX151), 1998
    Co-Authors: Cai Jun, Lu Dezheng, Wang Pingyang
    Abstract:

    In recent years, the load following capability of thermal power plants has been actively researched, as power system interconnection unavoidably brings about complicated load variations. The key to improving the load following capability is the control of the fuel supply to the burner, which is provided by the Coal Mill. The conventional method of controlling the Coal Mill is by a PID system, which deteriorates when operation deviates from the set point. An expert system of a fuzzy PID algorithm for the fan Mill of direct firing pulverizing systems is proposed in this paper. The proposed algorithm not only improves the dynamic characteristics of main steam pressure control but also improves the load following capability.

  • LOAD FOLLOWING CAPABILITY OF THERMAL POWER PLANT AS CONTRIBUTED BY Coal Mill CONTROL
    1998
    Co-Authors: Cai Jun, Lu Dezheng, Wang Pingyang
    Abstract:

    In recent yt:ars, the load following capability of thermal power plant has been in active research, as power system interconnection unavoidably brings about complicated load variations. The kay to improving the load following capability is the control of the he1 supply to the bumer, which is provided by the Coal Mill. Conventional method of controlling the Coal Mill is by PID system, which deteriorates when operation deviates ffom the set point. An expert system of fizzy PID algorithm for the fan Mill of direct firing pulverizing system is proposed in this paper. The proposed algorithm not only improves the dynamic characteristics of main steam pressure control but also improves the load following capability.

Zhang Yan - One of the best experts on this subject based on the ideXlab platform.