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Laiwu Steel 1080m ~ 3 Blast Furnace TRT Power Analysis And Modeling

Posted on:2015-03-22Degree:MasterType:Thesis
Country:ChinaCandidate:L LiuFull Text:PDF
GTID:2262330431953646Subject:Power engineering
Abstract/Summary:PDF Full Text Request
Affected by the world economic crisis, China’s steel industry remains in the doldrums. To out of the woods, iron and steel enterprises have increased the development of recycling economy, and made efforts to reduce process energy consumption. TRT(Blast Furnace Top Gas Recovery Turbine Unit) is the lowest cost-effective turbine type. Studying and exploring of various models TRT, and achievement of sustainable and efficient generating will play a positive role.Six Sigma is a methodology for utilizing resource and improving managerial effectiveness in recent years. It is on the basis of customer needs as well as scientific data analysis, via the five DMAIC (Define,Measure,Analyze,Improve,Control) improvements process, to accomplish quality management objectives.This paper will combine Six Sigma management processes and professional analysis techniques, through the of modeling and analysis1080m3blast furnace TRT devices supporting, to find out the key factors affecting the power load, and try to improve and achieve the purpose of improving power generation, which is the first use of Six Sigma management methods, to carry out research activities to improve equipment efficiency.The team carried out a detailed and meticulous work. In defining (D) stage, on the basis of internal and external customer needs analysis, we determined the scope of the project and the target we carried out initially; In measurement (M) stage, through project involves the measurement system is analyzed to confirm the measurement system is reliable and complete analysis of the current situation TRT, through the target process capability analysis conducted Y, refined flow chart and FMEA analysis, and implementation of a rapid improvement; In analysis (A) phase, we analyze blast furnace gas, flow, temperature, and other key factors and large amounts of field collecting data are correlation analyzed and regression analyzed. And initially proposed to achieve the project objectives need to control the parameters of the interval; In improve (I) stage, according to the results of the regression analysis, we conducted experiments on the site to participate in prediction and the experimental situation; put forward specific control methods; In control (C) stage, developed a corresponding system files, and on-site control in accordance with the experimentally determined parameters control interval, to achieve the desired goals.In this paper, fourteen on-site questions including the low oil temperature and the long boot time of TRT unit were rapid improved, and the three key factors and their range of values which impact the TRT tons of iron generating capacity were determined through modeling analysis:Blast Furnace Gas temperature (130-160℃), flow rate (17.5-20.0Wan m3/h), pressure (155-170kPa). The desired objectives can be achieved under the condition mentioned above, while that this paper finding TRT power generation the maximum power potential, based on statistical forecasting software features, will enhance the efficiency of facilities to provide evidence in the future.Finally, this paper comes to a summary of applying Six Sigma quality management methods to carry out research work of TRT. The specific control requirements were institutionalized and incorporated into the site rules that consolidate the research results, and create benefits for enterprises of more than175million.
Keywords/Search Tags:TRT, Six Sigma, Modeling and Analysis, DMAIC
PDF Full Text Request
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