Modular approach for modeling a multi-energy district boiler

Modular approach for modeling a multi-energy district boiler
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DOI:
10.1016/j.apm.2011.02.006
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发表时间:
2011-08
影响因子:
5
通讯作者:
J. Eynard;S. Grieu;M. Polit
J. Eynard;S. Grieu;M. Polit
中科院分区:
工程技术2区
文献类型:
--
作者:
J. Eynard;S. Grieu;M. Polit

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本文论述了一个区域锅炉(城市的La罗谢尔,法国西海岸)的建模,作为OptiEnR研究项目的一部分。这种“多能源”锅炉主要使用木材,必要时有时使用燃料或天然气,供应家用热水并为住宅和公共建筑供暖。OptiEnR研究项目的重点是优化锅炉的性能。其主要目标是尽量减少化石能源的使用,在低需求时期储存可再生能源,并在高峰需求高时使用。由于整个工厂的复杂性和子系统(木材锅炉,燃气-燃油锅炉,破碎压力瓶,热电联产工厂,热水分配网络)之间的强烈相互作用,提出了一种模块化的方法。根据现有的信息,使用了白色、灰色和黑色盒子(Hammerstein-Wiener模型)的组合来执行建模任务。为解决资料不足的问题,提出并确定了其他参数。该模型已首次用于模拟在加热期间,以优化锅炉控制系统的参数和木材,天然气和燃油的使用。接下来,它将用于在工厂中添加热存储单元并实施模型预测控制器时,以改善其功能,特别是降低化石能源锅炉的覆盖率。
The present paper deals with the modeling of a district boiler (city of La Rochelle, west coast of France), as part of the OptiEnR research project. This “multi-energy” boiler supplies domestic hot water and heats residential and public buildings, using mainly wood and sometimes fuel or gas if necessary. The OptiEnR research project focuses on optimizing the performance of the boiler. Its main objective is to minimize the use of fossil energy, stocking renewable energy during low-demand periods and using it when peak-demand is high. Because of both the complexity of the plant as a whole and the strong interactions between the sub-systems (the wood boiler, the gas-fuel oil boiler, the breaking pressure bottle, the cogeneration plant, the hot water distribution network), a modular approach has been proposed. According to what information is available, a combination of white, grey and black boxes (Hammerstein–Wiener models) has been used to carry out the modeling task. To answer for the lack of information, additional parameters were proposed and identified. The model has been first used in simulation during heating periods, with the aim of optimizing both the parameters of the boilers control systems and the use of wood, gas and fuel oil. Next, it will be used, when adding to the plant a thermal storage unit and implementing a model predictive controller, to improve its functioning, especially reducing the coverage rate of the fossil energy boiler.