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我国工业锅炉的现状及节能途径 总被引:1,自引:0,他引:1
我国工业锅炉使用量大面广,以燃煤为主,年消耗能源量大.但是由于工业锅炉运行效率比先进国家同类锅炉低15%~20%,需多耗用燃煤约6000万t/a,并排放大量烟尘、SO2和Nox等污染物,因此工业锅炉节能降耗刻不容缓.文中叙述了我国在用工业锅炉的总量、各地区在用工业锅炉的现状,以及存在的问题,通过研究,提出了我国各种工业... 相似文献
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针对燃煤工业锅炉的能效测试结果,本文分析了燃煤工业锅炉运行中存在的问题,阐述了上述问题产生的原因及影响因素,提出了相应的改进措施. 相似文献
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针对目前工业锅炉运行能源消耗大的问题,本文从锅炉的技术改造,燃料的节约控制和操作工人管理培训等方面探索了燃煤锅炉节能的可能性,为实际生产中燃煤锅炉的节能运作提供参考. 相似文献
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通过对燃煤工业锅炉进行能效测试,研究了燃煤工业锅炉运行中各项热损失的原因及影响因素,并结合本地区实际情况提出了相应的改进建议,以期为燃煤工业锅炉在节能技术方面的研究提供有益的探索。 相似文献
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为解决我国目前大中容量工业锅炉燃煤量准确计量问题,作者尝试用多元回归分析的数学方法,对燃煤量与其它热工参数进行了关联,并对所得关联式进行了实测检验和精度分析。 相似文献
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District heating is an efficient way to provide heat to residential, tertiary and industrial users. Heat is often produced by CHP (combined heat and power) plants, usually designed to provide the base thermal load (40-50% of the maximum load) while the rest is provided by boilers. The use of storage tanks would permit to increase the annual operating hours of CHP: heat can be produced when the request is low (for instance during the night), stored and then used when the request is high. The use of boilers results partially reduced and the thermal load diagram is flattered. Depending on the type of CHP plant this may also affect the electricity generation. All these considerations are crucial in the free electricity market.In this paper, a multi-scale model of storage tanks is proposed. This model is particularly suitable to analyze the operation of storage systems during the heating season and to predict their effects on the primary energy consumption and cash flows. The analysis is conducted considering the Turin district heating system as case study. Results show that primary energy consumption can be reduced up to 12%, while total costs can be reduced up to about 5%. 相似文献
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Among the world's nations, per capita energy and electricity consumption is highly correlated with diverse indicators of quality of life. This is often interpreted to mean that additional energy and electricity consumption causes improvements in life quality. Prior analyses of cross-sectional data question this interpretation for industrial nations that already have high per capita energy consumption. The present analysis with longitudinal data shows that among industrial nations, increases in per capita energy and electricity consumption over the past three decades are not associated with corresponding improvements in quality of life. 相似文献
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This paper describes an analysis of recent trends in industrial output and electricity consumption carried out at the Electricity Council. The analysis examines the significance of changes in industrial structure and in the intensity of electricity use within major industries using a simple arithmetical procedure. The conclusion reached is that such factors have, in recent years, had a major influence on trends in industrial electricity consumption. The importance of these factors explains why simple econometric models which describe industrial electricity sales as a function of total industrial output have proved unsatisfactory for forecasting purposes. This conclusion underlines the need to use a disaggregated approach to electricity forecasting, an approach which the electricity industry has used increasingly. 相似文献
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In this paper, an empirical model is developed for electricity consumption of the Jordanian industrial sector based on multivariate linear regression to identify the main drivers behind electricity consumption. In addition, projection of electricity consumption for the industrial sector based on time series forecasting is presented. It was found that industrial production outputs and capacity utilization are the two most important variables that affect demand on electrical power and the multivariate linear regression model can be used adequately to simulate industrial electricity consumption with very high coefficient of determination. To illustrate the importance of integrating energy efficiency within national energy plans, the impact of implementing high-efficiency motors was investigated and found to be significant. Without such basic energy conservation and management programs, electricity consumption and associated GHG emissions for the industrial sector are predicted to rise by 63% in the year 2019. However, if these measures are implemented on a gradual basis, over the same period, electricity consumption and GHG emissions are forecasted to ascend at a lower rate with low/no cost actions. 相似文献