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Energy efficiency optimisation in industrial processes: Integral decision support tool

机译:工业流程中的能源效率优化:集成决策支持工具

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摘要

Assessing and improving energy efficiency in manufacturing processes is a crucial issue for companies who wish to become competitive. In addition, there are high margins of technical energy efficiency improvement for practically each sector and kind of industry. There are many Energy Efficiency Measures (EEM)s and tools in the literature to assess energy efficiency. To fit an EEM to a specific process is a complicated task, due to the different characteristic and restrictions of each specific manufacturing process. Owing to the complexity of the non-continuous processes, each measure has to be deeply analysed. Consequently, this work presents an integral analysis, process optimisation and decision support tool to assess the implementation of EEMs in these processes. This tool allows us to analyse both the possible synergies that may be created among the EEMs and their impact on other parts of the process line. The optimum solution or combination of EEMs, and their sizing, are determined to reach the highest levels of energy efficiency. The impact on the overall energy efficiency and the synergies among EEMs is shown. Several packages of EEMs are analysed, with energy consumption reductions ranging from 21% to 50%.
机译:对于希望提高竞争力的公司而言,评估和提高制造过程中的能源效率是至关重要的问题。此外,几乎每个行业和行业都可以提高技术能效。文献中有许多用于评估能效的能效措施(EEM)和工具。由于每个特定制造过程的特性和限制不同,使EEM适应特定过程是一项复杂的任务。由于非连续过程的复杂性,必须对每种措施进行深入分析。因此,这项工作提出了一个完整的分析,流程优化和决策支持工具,以评估这些流程中EEM的实施情况。该工具使我们能够分析EEM之间可能产生的协同作用,以及它们对生产线其他部分的影响。确定EEM的最佳解决方案或组合及其尺寸,以达到最高的能效水平。显示了对整体能源效率的影响以及EEM之间的协同作用。分析了几种EEM软件包,其能耗降低了21%至50%。

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