Determination of the prospective energy consumption of manufacturing technologies with methods-energy measurement (MEM)

Martin Bornschlegl, S. Spreng, S. Kreitlein, M. Bregulla, J. Franke
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引用次数: 6

Abstract

The reduction of energy costs of manufacturing technologies is both an important and current objective for factory operators. But mostly, this idea to reduce the energy consumption is being implemented after the manufacturing technologies are installed. However, it would be more advantageous if efforts were made to save energy during the early planning process. To achieve an estimation of the energy consumption in this early planning stage, a new suitable forecast method is required. Therefore, this paper shows how the prospective energy consumption can be determined by using Methods-Energy Measurement (MEM). Based on the needs of production planners, future challenges and requirements for MEM are listed. Further-more, the concept of basic energy elements and their value determination techniques are introduced, and different possibilities are outlined and assessed. For an easier determination of the energy demands of a complex production cell or manufacturing equipment, standard equipment patterns will be designed. This template supports both planners and decision-makers to create reliable and standardized Resource Performance Indicators (RPI). Subsequently, the architecture of the MEM-calculation model is presented. This approach enables a holistic estimation of the energy consumption of manufacturing technologies and leads to higher levels of transparency. Furthermore, MEM contributes to identify and realize sustainable solutions in advance and as a result, increases the profitability of a factory.
用能量测量(MEM)方法测定制造技术的预期能耗
降低制造技术的能源成本既是工厂经营者的重要目标,也是当前的目标。但大多数情况下,这种减少能源消耗的想法是在制造技术安装后实施的。然而,如果在早期规划过程中努力节约能源,将会更有利。为了在这个早期规划阶段实现对能源消耗的估计,需要一种新的合适的预测方法。因此,本文展示了如何利用能量测量方法(MEM)来确定未来的能源消耗。根据生产计划人员的需求,列出了未来MEM面临的挑战和要求。在此基础上,介绍了基本能量元素的概念及其值的确定技术,并对不同的可能性进行了概述和评价。为了更容易地确定复杂生产单元或制造设备的能源需求,将设计标准设备模式。该模板支持规划者和决策者创建可靠和标准化的资源绩效指标(RPI)。随后,给出了微机电计算模型的体系结构。这种方法能够对制造技术的能源消耗进行全面估计,并提高透明度。此外,MEM有助于提前确定和实现可持续的解决方案,从而提高工厂的盈利能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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