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首页> 外文期刊>International Journal of Production Research >Key performance indicators for assessing inherent energy performance of machine tools in industries
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Key performance indicators for assessing inherent energy performance of machine tools in industries

机译：评估行业机床固有能量性能的关键性能指标

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Increasing attention has been paid toward enhancing energy retrofitting in machine tools due to its enormous energy consumption and high energy-saving potential. Developing energy-efficient machine tools and selecting appropriate machine tools in procurement processes are two effective approaches for saving energy. However, existing studies on the evaluation of energy performance to support the design and selection of machine tools, rarely consider various process controls, which have considerable impact on the energy performance of machine tools. This study proposes a group of key performance indicators, which are referred to as 'inherent energy performance' (IEP) indexes, to support the design and selection of machine tools with the consideration of the main process controls in the usage phase and their interaction. A systematic method is introduced to acquire the IEP indexes. The method involves a simplified measurement of basic data and the calculation of the indexes from the data. A case study indicates that the proposed indicators succeed in obtaining the energy demand information of almost all machine system activities and can be used to provide basic data for developing energy information labels, selecting matching machine tools, and designing energy-efficient machine tools.
机译：由于其巨大的能量消耗和高的节能潜力，已经越来越重视提高机床的能量更新。开发节能机床并在采购过程中选择合适的机床是节省能源的两种有效方法。但是，现有的有关支持机床设计和选择的能源性能评估的研究很少考虑各种过程控制，这些工艺控制对机床的能源性能有相当大的影响。这项研究提出了一组关键性能指标，称为“固有能源性能”（IEP）指标，以在使用阶段及其主要过程之间相互影响的基础上，为机床的设计和选择提供支持。介绍了一种系统的方法来获取IEP指标。该方法涉及对基本数据的简化测量以及从该数据计算索引。案例研究表明，所提出的指标能够成功获取几乎所有机器系统活动的能源需求信息，并可用于提供基础数据，以开发能源信息标签，选择匹配的机床以及设计节能型机床。

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