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首页> 外文期刊>Journal of Cleaner Production >Modeling and discrete event simulation in industrial systems considering consumption and electrical energy generation
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Modeling and discrete event simulation in industrial systems considering consumption and electrical energy generation

机译：考虑能耗和电能产生的工业系统建模和离散事件模拟

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This paper presents the application of the Discrete Event Simulation (DES) in an industrial plant to analyze the behavior of the consumption and generation of electrical energy in conjunction with other variables of the process. In other words, the process modeling was conducted considering the energy consumption in equipment as well as the local photovoltaic (PV) energy generation. A medium-sized plant was the reference base used herein, and the main variables considered were the time of supply of tanks and processing of raw material, active power of equipment and energy tariffs. A simulation model with resolution in seconds was designed, enabling the simulation of consumption curves of each equipment of a given part of the production process. The equipment of variable active demand was modeled by a mathematical regression method, and the others were assumed with constant power. The same model was altered to unit in minutes for simulating the monthly electricity consumption, so as to obtain financial results. The contractual rules for electricity supply were included, and the use of a diesel-powered generator was taken into account. The application of a freeware was employed as a low cost alternative for small and medium-sized companies, even though the lack of graphic resources has increased the complexity of the system modeling process. The model with resolution in seconds proved to be efficient to simulate the consumption profile of a specific equipment that alters the power in a short-time period, such as the pumps. The model, on the other hand, in minutes allowed a more effective analysis in terms of finance, enabling the verification of alternative scenarios throughout a month. The monthly cost reduction perceived by considering self-generation in this model was about 36%. (C) 2019 Elsevier Ltd. All rights reserved.
机译：本文介绍了离散事件模拟（DES）在工业工厂中的应用，结合过程的其他变量来分析电能消耗和发电的行为。换句话说，进行过程建模时要考虑设备的能耗以及本地光伏（PV）的能源产生。中型工厂是此处使用的参考基础，考虑的主要变量是储罐的供应时间和原材料的加工时间，设备的有功功率以及能源价格。设计了分辨率以秒为单位的仿真模型，从而可以模拟生产过程中给定部分的每个设备的消耗曲线。通过数学回归方法对可变需求需求的设备进行建模，并假设其他设备具有恒定功率。同一模型在数分钟内更改为单位，以模拟每月用电量，从而获得财务结果。包括了电力供应的合同规则，并考虑了使用柴油发电机的情况。尽管缺乏图形资源增加了系统建模过程的复杂性，但免费软件的应用被用作中小型公司的低成本替代方案。分辨率以秒为单位的模型被证明可以有效地模拟特定设备在短时间内改变功率的消耗曲线，例如泵。另一方面，该模型只需几分钟，就可以在财务方面进行更有效的分析，从而可以在一个月内验证替代方案。通过考虑此模型中的自发电，每月的成本降低约为36％。 （C）2019 Elsevier Ltd.保留所有权利。

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