酿造工业能源和媒体需求模拟的元建模方法

Raik M. Bär, Tobias Voigt
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引用次数: 2

摘要

由于经济、社会和技术的发展趋势,以及不断上升的能源成本,食品和饮料行业面临着节能工作的挑战。中小型企业尤其缺乏时间和知识来确定和实施适当的能源效率措施。在模拟的帮助下,决策者可以采用多种方法并做出有充分根据的决策。提出了一种基于物理模型、过程模型、产品/配方模型和生产计划模型的元模型,用于预测整个生产系统的能源和介质消耗。该元模型是在一个用户友好的建模工具中实现的,该工具支持简单的混合建模,而无需对用户进行预认证。随后,生成一个标准化的数据交换文件,作为仿真模型的基础。为了验证,对各种用例进行了建模,并使用系统测试验证了该工具。此外,进行了两项模拟研究,以表明所提出的方法提供了在预测能源和媒体消耗方面创建整体模型的机会。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

A metamodeling approach for the simulation of energy and media demand for the brewing industry

A metamodeling approach for the simulation of energy and media demand for the brewing industry

Due to economic, social and technical trends, as well as rising energy costs, the food and beverage industry is challenged to work energy-efficiently. Small and medium-sized enterprises in particular lack of both time and knowledge to identify and implement suitable energy efficiency measures. With the help of simulation, decision-makers can pursue numerous approaches and make well-founded decisions. A metamodel based on four modeling pillars (physical-, process-, article/recipe-, and production plan model) for an entire production system concerning the forecast of energy and media consumption is presented. The metamodel is implemented in a user-friendly modeling tool, which enables a simple hybrid modeling without prequalification of the user. Subsequently, a standardized data exchange file, as basis for a simulation model, is generated. For validation, various use cases were modeled and the tool was validated using a systematic test. In addition, two simulation studies were performed to show that the presented approach provides the opportunity to create a holistic model in terms of forecasting energy and media consumption.

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