Academic literature on the topic 'Coal mill system'

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Journal articles on the topic "Coal mill system"

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Ji, Xiao Bin, Xue Yi Qi, Xiao Ming Ji, and Ling Wang. "The Experimental Research on the Variable Loading System of LM18.20 Coal Mill." Advanced Materials Research 446-449 (January 2012): 2900–2903. http://dx.doi.org/10.4028/www.scientific.net/amr.446-449.2900.

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The paper research the loading methods of medium-speed coal mill and the variable loading system of LM18.20 coal mill. The experiment result has shown that using variable hydraulic loading system can make the coal mill running steadily with stable output under varies output conditions; and the mill's loading range is extended; the mill power consumption and wear rate of grinding parts are reduced.
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Hu, Yong, Boyu Ping, Deliang Zeng, Yuguang Niu, and Yaokui Gao. "Modeling of Coal Mill System Used for Fault Simulation." Energies 13, no. 7 (April 7, 2020): 1784. http://dx.doi.org/10.3390/en13071784.

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Monitoring and diagnosis of coal mill systems are critical to the security operation of power plants. The traditional data-driven fault diagnosis methods often result in low fault recognition rate or even misjudgment due to the imbalance between fault data samples and normal data samples. In order to obtain massive fault sample data effectively, based on the analysis of primary air system, grinding mechanism and energy conversion process, a dynamic model of the coal mill system which can be used for fault simulation is established. Then, according to the mechanism of various faults, three types of faults (i.e., coal interruption, coal blockage and coal self-ignition) are simulated through the modification of model parameters. The simulation shows that the dynamic characteristic of the model is consistent with the actual object, the relative error of each output variable is less than 2.53%, and the total average relative error of all outputs is about 1.2%. The model has enough accuracy and adaptability for fault simulation, and the problem of massive fault samples acquisition can be effectively solved by the proposed method.
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Cheng, Xiao Hong, and Qi Li. "Optimization Control of the Ball Mill Mechanical Equipment." Applied Mechanics and Materials 602-605 (August 2014): 1283–86. http://dx.doi.org/10.4028/www.scientific.net/amm.602-605.1283.

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The current system for thermal power system operation stability ball mill, poor uniformity of pulverized coal that often occurs overpressure, breaking coal, over-temperature phenomena such as coal or blocking rational analysis, the use of predictive control, self-optimizing control the principle of the system is to optimize the steel mill, and combined with its control system elaborated feasibility optimized implementation.
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Wang, Yan Jun. "Using DCS to Realize Ball Mill Fuzzy Control System." Applied Mechanics and Materials 568-570 (June 2014): 1131–34. http://dx.doi.org/10.4028/www.scientific.net/amm.568-570.1131.

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By way of summarizes operation experience, using fuzzy control method to realize the decoupling control of coal mill cold air damper, hot air damper and coal feeder, by using cascade control of fuzzy control look up table and PI controller in DCS, it’s convenient to realized the automatic control of ball mill. Practice proves that this method is easy to achieve and good control effect could be achieved.
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Zhu, Pengcheng, Hong Qian, and Tingting Chai. "Research on early fault warning system of coal mills based on the combination of thermodynamics and data mining." Transactions of the Institute of Measurement and Control 42, no. 1 (September 9, 2019): 55–68. http://dx.doi.org/10.1177/0142331219869701.

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This paper presents a fault early warning approach of coal mills based on the Thermodynamic Law and data mining. The Thermodynamic Law is used to describe the working characteristics of coal mills and to determine the multi-parameter vector that characterize the operating state of the coal mill. Data mining technology is applied to analysis the interrelationships among elements of the multi-parameter vector. Then the abnormal boundaries of parameters are calculated based on the distribution of parameters under different working conditions according to the Pauta criterion. Finally, the fault early warning model is implemented combining the abnormal boundaries and the confidence algorithm that can detect the working status of coal mills. Two actual numerical examples are used to illustrate the proposed method is capable of estimating the abnormality of coal mills before the fault happens.
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Su, Dong Hai, Li Xuan Ding, Bing Ru Feng, and Wu Xi. "Research on the Improvement of MPS Coal Mill Loading Hydraulic System." Advanced Materials Research 452-453 (January 2012): 3–6. http://dx.doi.org/10.4028/www.scientific.net/amr.452-453.3.

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This article introduces the design features of original loading mode of MPS coal mill and proposes that using technology of electro-hydraulic proportional to improve the loading mode. The original loading mode exists many defects. The improvement combines the hydraulic loading system with electronic technology so that the deficiencies of original system are solved and the automatic degree of coal mill loading mode is improved.
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Zhang, Cheng Liang, Jia Fang Yang, and Yong Hua Cao. "Research on Optimal Control Model for Ball Mill Based on Genetic Algorithm." Advanced Materials Research 1028 (September 2014): 227–30. http://dx.doi.org/10.4028/www.scientific.net/amr.1028.227.

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As the key equipment in coal-fired power plants, the optimal control problem of ball mill is an important factor affecting the efficient operation of the mill. In this paper, the output model, energy consumption model and unit consumption model of coal pulverizing system are built on the basis of analysis of ball mill running condition. The unit consumption model is used as the genetic algorithm fitness function. The outlet temperature, practical ventilation and coal load of ball mill are chosen as the optimization variables. The algorithm model is built to solve the multi-objective problem of ball mill.
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Zeng, Deliang, Yaohan Wang, Shan Gao, and Jizhen Liu. "Modeling and control of ball mill system considering coal moisture." Measurement 90 (August 2016): 43–51. http://dx.doi.org/10.1016/j.measurement.2016.04.037.

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Jian, Yifan, Xianguo Qing, Yang Zhao, Liang He, and Xiao Qi. "Application of Model-Based Deep Learning Algorithm in Fault Diagnosis of Coal Mills." Mathematical Problems in Engineering 2020 (August 14, 2020): 1–14. http://dx.doi.org/10.1155/2020/3753274.

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The coal mill is one of the important auxiliary engines in the coal-fired power station. Its operation status is directly related to the safe and steady operation of the units. In this paper, a model-based deep learning algorithm for fault diagnosis is proposed to effectively detect the operation state of coal mills. Based on the system mechanism model of coal mills, massive fault data are obtained by analyzing and simulating the different types of faults. Then, stacked autoencoders (SAEs) are established by combining the said data with the deep learning algorithm. The SAE model is trained by the fault data, which provide it with the learning and identification capability of the characteristics of faults. According to the simulation results, the accuracy of fault diagnosis of coal mills based on SAE is high at 98.97%. Finally, the proposed SAEs can well detect the fault in coal mills and generate the warnings in advance.
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Ji, Xiao Bin, Xue Yi Qi, Jian Jun He, and Yong Li Wu. "The Optimization Design of the Mill Hydraulic Loading System." Advanced Materials Research 468-471 (February 2012): 1207–10. http://dx.doi.org/10.4028/www.scientific.net/amr.468-471.1207.

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Through the deep analysis of its working principal and the structure, the hydraulic loading system was designed, and the optimum method of the mill hydraulic loading system was researched. After the optimization it is not only that the proper coal granularity was ensured and the remote control capability got enhanced, but also resolved the problem of high pressure of the hydraulic system, and reduced the energy and consumption.
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Dissertations / Theses on the topic "Coal mill system"

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Kubínek, Martin. "Návrh mlýnského okruhu kotle PK 4S v Teplárně Košice." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2015. http://www.nusl.cz/ntk/nusl-232164.

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The aim of this thesis is the proposal of a coal mill system and a combustion chamber for the boiler PK 4S situated in Košice CHP station with regard to transition to the new fuel. This proposal is focused on the elimination of NOx emissions. The calculation is based on required parameters of the boiler and declared characteristic of the new fuel. The proposal of the coal mill system includes three roller mills working in closed circuit with direct blowing. One of the mills serves as a reserve in case of failure. Dimensions of the dry bottom combustion chamber are proposed considering the applied primary measures to reduce NOx emissions so that the temperature at the end of the furnace would not be higher than maximal allowed temperature 1200 °C.
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Wei, Jianlin. "Development of Coal Mill and Aggregate Load Area Models in Power Systems using Genetic Algorithms." Thesis, University of Liverpool, 2007. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.485997.

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Quality and reliability is one of the most important issues. in power generation and distribution. With the recent advances in computer and network technology, the Operational Information Systems (OIS) have been installed in almost all power plants and substations. The data stored in databases covers long periods of time, which presents a challenge as how to extract the useful, task-oriented knowledge from the data to improve power system reliability and power quality. The thesis presents the research work in development of mathematical models for power systems by analysing the data available from on-site measurement using evolutionary computation techniques. The project contributes to aspects in power generation and distribution: coal mill modelling and electrical load area modelling. Coal-fired power stations are now obliged to vary their outputs in response to changing electricity demand and are required to operate more flexibly with more varied coal specifications. The operations of a mill need to be controlled to respond effectively to changes in plant load and coal quality. Combustion optimization relies heavily on optimization of the mill output. Frequently start-ups and shut-downs of mills bring the impact on power plant to achieve both low NOx and CO2 emissions. Operational safety and efficient combustion require better understanding to the milling process. The work described in the thesis has three new contributions: 1) Development of an improved normal grinding coal mill process model which provide more accurate prediction of mill states than the previous version; 2) Development of a new multi-segment coal mill model which covers the whole milling process from start-ups to shut-downs; 3) Development of a prototype software programme to implement the multisegment mill model on-line. The software has been passed to RWEnPower PIc. for further test. Stable operation of a power system depends on the ability to continuously match the electrical output of generation units to the electrical load. So it is important to have a reliable mechanism to predict the power load on time. Model based approach is one of the options. With the sponsorship from the National Grid Transco PIc, a study of modelling electricity area load has been carried out through this project A methodology using evolutionary computation techniques based on system measurements to construct power system area load models and achieve distribution network reduction is proposed in the thesis. Three aggregate load area model (ALAM) approaches entitled Voltage-Two-Step, Current-Two-Step and Direct-OneStep have been studied in the thesis. Simulations studies are carried out for these three approaches, and it found that the Direct-One-Step offers the best performance among the three ALAM approaches. Verification studies are performed through the project and some rules for constructing a good ALAM are obtained.
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Long, Henry A. III. "Development and Thermodynamic Analysis of an Integrated Mild/Partial Gasification Combined Cycle (IMPGC) Under Green and Brown Field Conditions With and Without Carbon Capture." ScholarWorks@UNO, 2018. https://scholarworks.uno.edu/td/2538.

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Coal is a very prominent energy source in the world, but it is environmentally unattractive due to its high sulfur and ash content as well as its alleged contribution towards climate change, but it is affordable, abundant, and has high energy content. Thus, utilizing coal in a cleaner and more efficient way has become necessary. One promising clean coal technology involves fully gasifying coal into synthesis gas, cleaning it, and feeding it into a high-efficiency combined cycle, such as an Integrated Gasification Combined Cycle (IGCC). Inspired by the recent success of warn gas cleanup (WGCU), mild and partial gasification are proposed as less energy intensive options. This Integrated Mild/Partial Gasification Combined Cycle (IMPGC) could significantly save energy and improve efficiency. The objective of this study is to investigate the capabilities of IMPGC as both a new plant and a retrofit option for traditional coal power plants with and without carbon capture. I MPGC relies on the principles of mild and partial gasification and the recently available WGGU technology with the following benefits: a.) completely negate the need for syngas cooling; b.) significantly reduce the energy needed to fully thermally crack the volatiles and completely gasify the char as in the IGCC system; c.) preserve the high chemical energy hydro-carbon bonds within the feedstock to allow more efficient combustion in the gas turbine; d.) reduce the size of gasifier and piping to reduce the costs; and e.) enable retrofitting of an old coal power plant by preserving the existing equipment. The software used (Thermoflex®) was first validated with established cases from the U.S. Department of Energy. For new plants, the results show that IMPGC’s efficiency is 8 percentage points (20%) higher than IGCC, 8 points higher than a modern subcritical Rankine cycle, and 3-4 points higher than an ultra-supercritical (USC) cycle. When retrofitting older plants, a minimum improvement of over 4 points is predicted. When carbon capture is involved, IMPGC’s efficiency becomes 10 points better than a subcritical plant and 8 points better than a USC plant. Emissions wise, IMPGC is better than IGCC and much better than Rankine cycle plants.
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Tesfamhret, Yonas. "Sb/C composite anode for sodium-ionbatteries." Thesis, Uppsala universitet, Strukturkemi, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-325794.

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In this thesis, a Sb/C composite electrode for sodium-ion batteries isprepared by a simple high energy ball milling and calenderingmethod. The prepared Sb/C composite electrode was assembled in ahalf-cell and symmetrical cell setups in order to perform avariety of electrochemical measurements.The composite electrode showed a reversible specific capacity of595 mAh/g, at a discharge/charge current rate of 15 mA/g. Theelectrode also showed a relatively good performance (compared toprevious studies) of 95% capacity retention after more than 100cycles, at a higher discharge/charge current rate of 60 mA/g. Theelectrode furthermore showed excellent self-dischargecharacteristics, in pause tests implemented over 200 hours (overeight days), which underlined the electrode materials good shelflife properties. A series of Sb/C symmetrical cells assembledthrough-out the project, furthermore, highlighted the stability ofthe solid electrolyte interface (SEI) layer formed on the Sb/Ccomposite electrode during cycling. Scanning electron microscopy(SEM) and Energy-dispersive X-ray spectroscopy (EDS) were used tocharacterize the surface morphology and composition of the Sb/Celectrode, respectively.A non-milled and milled (12 hours) graphite electrodes were alsoprepared for reference and comparison. The milled graphite matrixelectrode provided a reversible capacity of 95 mAhg-1 and acoulombic efficiency (CE) of 99% in over 250 cycles, at a currentrate of 30 mA/g. Milled and non-milled graphite were characterizedwith SEM and Raman spectroscopy, to help have a fundamentalunderstanding of the particle size and material phase,respectively.
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Books on the topic "Coal mill system"

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Technical, British Steel, Great Britain. Energy Efficiency Office., and Atomic Energy Research Establishment. Energy Technology Support Unit., eds. The use of variable speed drives for a steel mill's water pumping system: A demonstration at British Steel Teeside Works Coil Plate Mill. Harwell: ETSU, 1994.

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VEP: General Mills 2003 (Vault Employer Profile). Vault, Inc., 2002.

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Book chapters on the topic "Coal mill system"

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Tishchenko, E. V., A. V. Sadovoy, N. T. Tishchenko, and B. D. Zhigaylo. "SYSTEM OPTIMAL CONTROL OF THE BALL MILL FOR THE PREPARATION OF THE PULVERIZED COAL MIXTURE FOR FORCED DRAFT." In XVIII International Coal Preparation Congress, 279–83. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-40943-6_40.

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Pool, Robert. "Managing the Faustian Bargain." In Beyond Engineering. Oxford University Press, 1997. http://dx.doi.org/10.1093/oso/9780195107722.003.0013.

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A quarter of a century ago, Alvin Weinberg offered one of the most insightful— and unsettling—observations anyone has made about modern technology. Speaking of the decision to use nuclear power, the long-time director of Oak Ridge National Laboratory warned that society had made a “Faustian bargain.” On the one hand, he said, the atom offers us a nearly limitless supply of energy which is cheaper than that from oil or coal and which is nearly nonpolluting. But on the other hand, the risk from nuclear power plants and nuclear-waste disposal sites demands “both a vigilance and a longevity of our social institutions that we are quite unaccustomed to.” We cannot afford, he said, to treat nuclear power as casually as we do some of our other technological servants—coal-fired power plants, for instance—but must instead commit ourselves to maintaining a close and steady control over it. Although Weinberg’s predictions about the cost of nuclear power may now seem naive, the larger issue he raised is even more relevant today than twenty-five years ago: Where should society draw the line in making these Faustian technological bargains? With each decade, technology becomes more powerful and more unforgiving of mistakes. Since Weinberg’s speech, we have witnessed major accidents at Three Mile Island, Chernobyl, and Bhopal, as well as the explosion of the Challenger and the wreck of the Exxon Valdez. And looking into the future, it’s easy to see new technological capabilities coming along that hold the potential for far greater disasters. In ten or twenty years, many of our computers and computer-controlled devices may be linked through a widespread network that dwarfs the current telecommunications system. A major breakdown like those that occasionally hit long-distance telephone systems could cost billions of dollars and perhaps kill some people, depending on what types of devices use the network. And if genetic engineering becomes a reality on a large scale, a mistake there could make the thalidomide debacle of the late 1950s and early 1960s look tame.
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Thomson, Peter. "Buryatia, in Black & White and Color." In Sacred Sea. Oxford University Press, 2007. http://dx.doi.org/10.1093/oso/9780195170511.003.0013.

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The trail along the eastern shore of the Holy Nose south of our campsite is maybe a foot wide, just a narrow track of compacted leaves and dirt, a path that could just as easily have been made by centuries of hooves and paws as by shod human feet. And perhaps it was. I’ve walked such trails in the Arctic, etched into the tundra by caribou and wolves and musk oxen. It’s a humbling and exhilarating experience, the trails a simple but stark reminder that you are in someone else’s habitat and that humans are not the only species to have left their mark on the planet. This one weaves between thick-barked evergreens and leathery aspens, clinging precariously to a slope that could easily throw a clumsy hominid to the waves fifty or more feet below. Andrei is lost in the thickets ahead, charging on to the next clearing, at which he’ll wait for us, again. James, Elisa, Chanda, and I keep to a more leisurely pace, in no more of a hurry to see the next sparkling facet of Baikal than this one, or to catch a toe on the next stone or gnarled root than the previous one. Igor stayed behind with our stuff at the campsite, to be picked up by the Lonesome Boatman. We’ll rendezvous with them farther down the coast this afternoon. Yesterday’s ragged clouds blew out in the evening, and the sky over Baikal today has the clarity of vodka and carries a cool, yellowish luminescence, as if after their ninety-three million mile dash the sun’s photons have slowed down to admire the little corner of the solar system that they’ve been lucky enough to have been sent to. There is no sign that any of the billions of humans who have ever lived have set foot in this place. We walk mostly in silence. From high above the lake, the trail drops down to the water, the steep slope giving way ahead to a thin, gracefully arcing beach dividing the lake from a narrow stand of wispy wetland trees and a soft amber field beyond.
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Lane, Belden C. "Discernment: Taum Sauk Mountain and Jelaluddin Rumi." In Backpacking with the Saints. Oxford University Press, 2015. http://dx.doi.org/10.1093/oso/9780199927814.003.0023.

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Four hundred million years ago, Taum Sauk Mountain was a high ridge on a solitary island in a vast Paleozoic sea surrounded by coral reefs. Geologists describe it as a landscape of lofty volcanoes. It was one of the few parts of present-day North America that were never submerged under a primordial sea. At 1,772 feet above sea level, Taum Sauk Mountain has been worn down through the ages but is still the highest point in Missouri. It lies on the crest of a mountain chain several times older than the Appalachians. The Taum Sauk section of the Ozark Trail is one of the most beautiful stretches in the Ozarks. The twelve-and-a-half-mile tract that runs from the blue pools and massive boulders of Johnson’s Shut-Ins State Park to the top of Taum Sauk Mountain is studded with waterfalls, thick woodlands, rocky glades, and beaver ponds. It is a good place for reflecting on primeval things, gaining a long-range perspective on one’s life, discerning what has gone and what may yet need to come. This is one of the boons of wilderness hiking. Turning onto route CC off Highway 21 in Iron County on a Friday afternoon, I’ve made it to the top of the mountain a few hours before dark. My plan is to hike down the trail below Mina Sauk Falls, spending the night in the woods near Devil’s Tollgate and moving on toward Johnson’s Shut-ins the next day. I’ve come to an intriguing place. In wet weather, the water cascades 132 feet down rock ledges, forming the highest waterfall in the state. Below the falls the trail passes through an eight-foot-wide opening in a thirty-foot-deep section of magma that was part of an ancient volcanic caldera. Hardened now into fine-grained rhyolite, the geological oddity is dubbed the Devil’s Tollgate. A pioneer wagon road once passed between its stone walls, making a convenient site for bandits to hide. The locals claim that Jesse James hid out on the mountain after robbing the Ironton Train in 1874. Until the State Park System built a road to its top in the 1950s, Taum Sauk Mountain was a remote and isolated place.
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Conference papers on the topic "Coal mill system"

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Luo, Yunhui, Hongbo Liu, Lei Jia, and Wenjian Cai. "Modeling and simulation of ball mill coal-pulverizing system." In 2011 6th IEEE Conference on Industrial Electronics and Applications (ICIEA). IEEE, 2011. http://dx.doi.org/10.1109/iciea.2011.5975797.

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Zhang, Chunxiu. "Coal mill explosion-proof monitoring system design and development." In 2016 2nd Workshop on Advanced Research and Technology in Industry Applications (WARTIA-16). Paris, France: Atlantis Press, 2016. http://dx.doi.org/10.2991/wartia-16.2016.197.

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Luo, Yunhui, Hongbo Liu, Lei Jia, and Lei Wang. "Loop priority based decentralized control for coal ball mill system." In 2010 8th World Congress on Intelligent Control and Automation (WCICA 2010). IEEE, 2010. http://dx.doi.org/10.1109/wcica.2010.5554325.

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Jankowski, Robert, Paweł D. Doman´ski, and Konrad S´wirski. "Optimization of Coal Mill Using an MPC Type Controller." In ASME 2003 International Mechanical Engineering Congress and Exposition. ASMEDC, 2003. http://dx.doi.org/10.1115/imece2003-42299.

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The article presents the question of optimization of a ventilation coal mill on the basis of a predictive optimizing controller with a receding horizon, which is an extension of the standard linear MPC (Model Predictive Control) type controllers. The controller has been realized in a digital version operating with a certain sampling period dependent upon the process dynamics. All calculations of the control rules are performed in one cycle which enables the controller to operate in the running mode. On the basis of a right optimization procedure the controller regulates the correction of settings, which are introduced to classic control structures in a fuzzy control system. The non-linear process model, implemented in the controller, is based on the basis of fuzzy neural networks. This structure enables to design, learn and tune NARMAX type models (Nonlinear Auto Regressive Moving Average with auXiliary input) [1]. The process model uses fuzzy rules, where fuzzy rules figure on the side, which helps to avoid sharp switching between them. The consequences of the rules take the form of differential equations of the linear ARX type models. The use of neural networks ensures a fast and efficient implementation and effective learning and tuning. The problem of control is based in on a periodically performed optimization of the performance index, defined on the basis of the assumed project goals. The aim of the controller operation is to eliminate undesired events occurring during mill operation. Such events are: instability of temperature value of air-dust mix after the mill, excessive fluctuation of air temperature before the mill and positioning of primary and secondary air dampers outside the control range. These goals are realized through appropriate control of the primary air damper and revolving speed of the mill. The implementation carried out of the described controller in a digital automatic control system on 8 ventilation mills of a 360 MW brown coal fired boiler. This article presents the results obtained and a carried out analysis.
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Xia, Ji, Peng Peng, Cheng Zhang, Tao Yang, and Gang Chen. "Study and Application of Two-Level Optimization of Coal Blending for Power Plant Based on On-Line Coal Identification." In ASME 2011 Power Conference collocated with JSME ICOPE 2011. ASMEDC, 2011. http://dx.doi.org/10.1115/power2011-55422.

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In china, many thermal power plants have to burn blended coals forced by the complexity of coal type and market tension and transportation pressure of coal purchasing. As a engineering implementation method of coal blending, “different coals grinding in different mills and then mixed burning in the furnace” has many advantages such as low investment, easy to control milling system parameters and can be optimized online, etc, compared with traditional coal blending methods. But it is limited by the number of mills and cannot achieve high-precision ratio of blending. To remedy this shortcoming, a model of two-level optimization of coal blending for the thermal power plant with direct blowing pulverizing system was established in this paper. The tradional coal blending was regarded as first step of optimization. The secondary optimization was implemented by adjusting the outputs of different mills, then the blend was changed to accurate ratio. Furthermore, since the existence of coal bunker, it made a time lag from coal discharge to combustion, meanwhile, the real-time load was unpredictable and the coal utilization rate was inconsistent of each bunker. The three reasons make it uncertain of the current coal of bunker. To identify each coal in the mill(equivalent to bunker) correctly was the basis of achieving the second blending optimization. Therefore, a soft-sensing model of coal moisture based on the heat balance equation was used to take this work. At last, a intelligent coal blending system by the two-level optimization model was developed for a power plant and achieved good results.
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De-liang, Zeng, Zhang Gang, Chen Yan-qiao, and Zheng Yan-qiu. "Model identification of coal mill control system based on genetic algorithm." In 2017 29th Chinese Control And Decision Conference (CCDC). IEEE, 2017. http://dx.doi.org/10.1109/ccdc.2017.7978774.

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Zhang, George Q., and Paul C. Thulen. "Coal Pulverizer Monitoring and Analysis: A Case Study." In ASME 2006 Power Conference. ASMEDC, 2006. http://dx.doi.org/10.1115/power2006-88095.

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This paper describes a case study of coal pulverizer monitoring and analysis. It represents the partial work of a project called “Mill Advisor” which investigated the common operational and maintenance problems of the coal pulverizer. Combining vibration monitoring and operational parameters such as flow rate, pressure drop and temperature measurement as well as grinding process modeling, this project intends to develop a system which closely monitors the operating condition of the pulverizer online, extracts the operational and maintenance knowledge, estimates the health condition of the equipment, and schedules maintenance based on the operation condition of the pulverizer and power generation demand. Specifically, this case study covers the following topics: 1)coal mill operational and maintenance problem identification; 2)sensing and data acquisition system design and implementation; 3)mill roller wear modeling and life span estimation; and 4)mill health indicator or availability proposition. On-site tests were conducted on a CE843RS pulverizer in a power plant.
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Ishii, Hiroki, Kentaro Nariai, Daisuke Inoue, Hitoshi Fukushima, Hidekazu Kasai, and Emi Ohno. "Demonstration Test of Wood Pellet Co-Firing for Pulverized Coal Fired Boiler." In ASME 2017 Power Conference Joint With ICOPE-17 collocated with the ASME 2017 11th International Conference on Energy Sustainability, the ASME 2017 15th International Conference on Fuel Cell Science, Engineering and Technology, and the ASME 2017 Nuclear Forum. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/power-icope2017-3782.

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Global warming is one of the most important topics in power generation field. Wood pellet is carbon neutral fuel and it is expected to reduce CO2 emission from fossil fuel. Recently in Japan, wood pellet is already utilized in many pulverized coal fired boilers in a limited range of a few percent. For the further CO2 emission reduction, high co-firing ratio of wood pellet is expected. The firing system of wood pellet is required to be separated from the coal firing system in the view point of technique, and it is desired to slightly modify the existing coal firing system from the view point of dissemination. IHI developed a wood pellet mill which equipped some devices to the coal mill. By modifying one coal mill in a commercial power plant to the pellet mill, grinding wood pellet was succeeded, and co-firing rate of 25 % was achieved. This paper shows the economic and technical evaluations of wood pellet utilization in coal fired power plant including the impact of lumbering to the forest.
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Xie, Youcheng, Jing Zhang, and Ping Ren. "Soft sensing system for coal storage in ball mill based on fuzzy neural network." In 2008 Chinese Control and Decision Conference (CCDC). IEEE, 2008. http://dx.doi.org/10.1109/ccdc.2008.4597639.

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Pavel, J., M. B. Blinn, and G. B. Haldipur. "Advanced Coal Gasification Combined Cycle Power Plant." In 1985 Joint Power Generation Conference: GT Papers. American Society of Mechanical Engineers, 1985. http://dx.doi.org/10.1115/85-jpgc-gt-4.

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Abstract:
This paper describes the conceptual design of an advanced technology coal gasification combined cycle power plant which has significant advantages over other power generation technologies. The plant is expected to provide lower capital and operating costs and superior environmental acceptability than other modes of generation. The design is based on the KRW Energy Systems Inc.’s pressurized fluidized bed coal gasification system. Hot cleaning of the fuel gas is accomplished using concepts being developed at the Waltz Mill pilot plant. Desulfurization of the fuel gas is by injection of dolomite into the gasifier bed. Final particulate removal is accomplished by an external filter. Net power output from the plant is 73 MW and the overall plant heat rate is 8760 Btu/KWh (HHV).
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