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Energetic analysis and optimal design of a CHP plant in a frozen food processing factory through a dynamical simulation model

机译:通过动态模拟模型进行冷冻食品加工厂CHP植物的能量分析和最优设计

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The proper design of cogeneration plants requires the choice of the technologies that best fits the ratio between heating and power loads. In this paper, a dynamical procedure of selecting and dimensioning a cogeneration plant, using deep and detailed energy, exergy and economic analysis of the entire production process of a frozen food production factory is proposed. The results highlight that a design method, based on a dynamic simulation, optimizes the energy efficiency of the food processing plant involved in the experimental test. Indeed, by considering the overall efficiency of the CHP + National grid system, the energy efficiency is 6% higher in the case of dynamic compared to a static design, resulting in better overall use of resources with a possible lower level of environmental impact. Moreover, the CHP plant designed with the proposed method generates electrical energy which appropriately matches that required by the process, with a surplus/deficit less than 4%, while the classic method never covers the amount required and results in a deficit greater than 20%. Finally, the annual savings of the solution derived from the dynamic method is 12% higher than that obtained with a traditional design technique. Considering the greater absolute cost of the cogeneration plant, this dynamic approach results in more profitable annual investment margins for the company.
机译:热电联产工厂的正确设计需要选择最能符合加热和动力负载之间的技术。本文提出了一种利用深层细致的能量,对冷冻食品生产工厂的整个生产过程的深层和详细能源,漏洞和经济分析来选择和尺寸的动力学程序。结果突出了一种基于动态仿真的设计方法,优化了实验测试中涉及的食品加工厂的能效。实际上,通过考虑CHP +国家电网系统的整体效率,与静态设计相比,动态的情况下,能量效率高出6%,导致较好地使用资源,具有较低的环境影响。此外,使用所提出的方法设计的CHP植物产生电能,该电能适当地匹配过程所需的盈余/赤字小于4%,而经典方法从未涵盖了所需的量并导致赤字大于20% 。最后,源自动态方法的溶液的年度节省比用传统的设计技术获得的12%。考虑到热电联产工厂的绝对成本,这种动态方法会导致本公司更有利可图的年度投资利润率。

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