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Measuring improvement in energy efficiency of the US cement industry with the ENERGY STAR Energy Performance Indicator

机译:使用ENERGY STAR能源绩效指标衡量美国水泥行业能效的提高

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摘要

The lack of a system for benchmarking industrial plant energy efficiency represents a major obstacle to improving efficiency. While estimates are sometimes available for specific technologies, the efficiency of one plant versus another could only be captured by benchmarking the energy efficiency of the whole plant and not by looking at its components. This paper presents an approach used by ENERGY STAR to implement manufacturing plant energy benchmarking for the cement industry. Using plant-level data and statistical analysis, we control for factors that influence energy use that are not efficiency, per se. What remains is an estimate of the distribution of energy use that is not accounted for by these factors, i.e., intra-plant energy efficiency. By comparing two separate analyses conducted at different points in time, we can see how this distribution has changed. While aggregate data can be used to estimate an average rate of improvement in terms of total industry energy use and production, such an estimate would be misleading as it may give the impression that all plants have made the same improvements. The picture that emerges from our plant-level statistical analysis is more subtle; the most energy- intensive plants have closed or been completely replaced and poor performing plants have made efficiency gains, reducing the gap between themselves and the top performers, whom have changed only slightly. Our estimate is a 13 % change in total source energy, equivalent to an annual reduction of 5.4 billion/kg of energy-related carbon dioxide emissions.
机译:缺乏用于对工厂能源效率进行基准评估的系统,这是提高效率的主要障碍。尽管有时可以使用特定技术的估算值,但只能通过对整个工厂的能源效率进行基准测试而不是通过查看其组件来获取一台工厂与另一台工厂的效率。本文介绍了能源之星使用的一种方法,以实现水泥行业的制造厂能源基准测试。使用工厂级数据和统计分析,我们可以控制影响能源使用的因素,而这些因素本身并不是效率。剩下的是对能源使用分布的估计,而这些因素并未考虑这些因素,即工厂内部的能效。通过比较在不同时间点进行的两个单独的分析,我们可以看到这种分布是如何变化的。尽管可以使用汇总数据来估算整个行业能源使用和生产的平均改进率,但这种估计会产生误导,因为它可能给人以为所有工厂都做出了相同的改进。从我们的工厂级统计分析得出的图则更加微妙。能源消耗最大的工厂已经关闭或被完全替换,而绩效差的工厂则提高了效率,从而缩小了自己与绩效最高的工厂之间的差距,后者之间的变化很小。我们的估计是总能源消耗量减少了13%,相当于每年减少与能源相关的二氧化碳排放量54亿公斤。

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