White'R能量评估工具及其在White'R岛工艺优化中的应用

M. Lai, Simona Tusacciu, Giulia Molinari
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引用次数: 0

摘要

为了证明白r结果产生的积极环境影响,定义了应用特定绿色标签的程序。为此,必须进行生命周期评估研究,将WEATool的调查范围扩大到生命周期的开始阶段,包括设计、材料提取、加工和机器组装,以及生命周期的结束阶段,涉及部件的拆卸和潜在的回收利用。为了更好地评估机械的生产和处置阶段,引入了MEErP工具(能源相关产品生态设计方法论)。由于能量不是唯一相关的值,为了验证white'R是否满足设定的目标,WEATool提供了更多的数据,如时间周期和单位生产成本。所有这些指标都被确定为kpi,“关键绩效指标”,这是描述机器人岛的经济、技术和环境特征的非常重要的参数。在项目的这个阶段,WEATool通过挑选最佳的技术选择,如材料识别或机器人岛的大小,为制造合作伙伴提供决策工具等指导方针。当原型准备好工作时,将通过将实际测量值填充数据库来进行一系列测量,以便开发逻辑优化方案,确定最经济有效和环境可持续的解决方案。最后,在结果验证之后,计算的kpi将用于提交绿色标签的请求。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The White'R Energy Assessor Tool and its applications for the optimization of white'R island processes
In order to certify the positive environmental impact emerging from white'R results, a procedure to apply a specific Green Label was defined. At this purpose, a life cycle assessment study must be undertaken, broadening the WEATool's investigations also to the Beginning Of Life phase, which includes the design, the extraction of materials, their processing and the assembly of the machine, and the End of Life, which concerns disassembly and potential recycling of components. To better evaluate production and disposal phases of the machinery, the MEErP tool (Methodology for the Eco-design of Energy-related Products) was introduced. Since energy is not the only relevant value, to verify that white'R satisfies the objectives set, the WEATool provides some more data such as the time cycle and the unit production cost. All those indicators are identified as KPIs, "Key Performance Indicators", very significant parameters that describe the economic, technical and environmental characteristics of the robotic island. At this phase of the project, the WEATool provides guidelines for manufacturing partners such as decision-making instrument, by picking best technical choices like the identification of materials or the size of the robotic island. When the prototype will be ready to work, a campaign of measurements will be made by populating databases with real measured values, in order to develop logical optimization scenarios identifying the most economically efficient and environmentally sustainable solutions. Finally, after results validation, the calculated KPIs will be used to submit the request for a green label.
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