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Energy efficiency in the Mexican iron and steel industry from an international perspective

机译:从国际角度看墨西哥钢铁行业的能源效率

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Mexico is an important iron and steel manufacturer; it is the 13th largest steel producer in the world. The Mexican iron and steel industry is first in energy consumption for industrial energy use, representing 14.3% of the total industrial final energy consumption and a similar share of related carbon dioxide emissions. The aim and novelty of this paper is to estimate both the energy intensity and CO2 intensity of the Mexican iron and steel industry in 2010 based on defined system boundaries and an international comparison methodology and to compare the energy intensity of Mexican with those the US and China based on a literature review. The boundaries consider energy consumption for all coke making, pelletizing, sintering, iron making, steel making, steel casting, hot rolling, cold rolling, and processing, such as galvanizing or coating. They also include energy use for net imported pig iron, direct-reduced iron, pellets, lime, oxygen, ingots, blooms, billets, and slabs. Under these boundary conditions, the Mexican iron and steel industry was shown to be more energy efficient and less carbon intense than those the U.S. and China. The reasons for this efficiency are mainly the large shares of the electric arc furnace route (69.4%) and continuous casting (100%) in production and the large share of natural gas in the fuel mix. This paper highlights the importance of the definition of boundaries and clear methodologies to analyse the iron and steel energy efficiency. (C) 2017 Elsevier Ltd. All rights reserved.
机译:墨西哥是重要的钢铁生产国。它是全球第13大钢铁生产商。墨西哥钢铁行业的工业能源消耗量居首位,占工业最终能源消耗总量的14.3%,相关二氧化碳排放量的份额与此相当。本文的目的和新颖之处在于,基于既定的系统边界和国际比较方法,对2010年墨西哥钢铁行业的能源强度和CO2强度进行估算,并将墨西哥与美国和中国的能源强度进行比较根据文献综述。边界考虑了所有焦炭制造,造粒,烧结,炼铁,炼钢,铸钢,热轧,冷轧以及加工(例如镀锌或涂层)的能耗。它们还包括净进口生铁,直接还原铁,球团,石灰,氧气,钢锭,大方坯,方坯和板坯的能源使用。在这些边界条件下,与美国和中国相比,墨西哥钢铁业显示出更高的能源效率和更低的碳强度。产生这种效率的原因主要是在生产中电弧炉路线所占比例较大(69.4%)和连铸(100%),以及燃料混合物中天然气所占比例较大。本文强调了定义边界的重要性以及明确的方法来分析钢铁的能源效率。 (C)2017 Elsevier Ltd.保留所有权利。

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