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Nonlinear model predictive control for thermal balance in solar trough plants

机译:太阳能槽式电站热平衡的非线性模型预测控制

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摘要

The size of existing commercial solar trough plants poses new challenges in applying advanced control strategies to optimize operation. One of these challenges is to obtain a better thermal balance of the loops' temperature. Since plants are made up of many loops, the efficiency of the loops can vary substantially if a group has been cleaned or affected by dust. This leads to the need to defocus the collectors of the most efficient loops to avoid overheating problems, thus producing energy losses. In order to minimize these energy losses, the input valves have to be manipulated to reduce the temperature difference of the loops. However, when the pipes connecting the loops are very long, the pressure drop and energy losses in those pipes become notorious, affecting the flow distribution. The need to consider the hydraulic model becomes very important. In this paper, a non-linear model predictive algorithm is presented that uses a hydraulic model of the solar field to compute the aperture of the input valves. The results show that when the length of the pipes is increased, the algorithm proposed in this paper obtains better results than other algorithms proposed in the literature. (c) 2022 The Author(s). Published by Elsevier Ltd on behalf of European Control Association. ( http://creativecommons.org/licenses/by-nc-nd/4.0/ )
机译:现有商用太阳能槽式电站的规模在应用先进的控制策略以优化运营方面提出了新的挑战。其中一项挑战是获得更好的回路温度热平衡。由于植物由许多回路组成,如果一组被清洁或受到灰尘的影响,则回路的效率可能会有很大差异。这导致需要使最有效回路的集电极散焦,以避免过热问题,从而产生能量损失。为了最大限度地减少这些能量损失,必须操纵输入阀以减少回路的温差。然而,当连接回路的管道很长时,这些管道中的压降和能量损失就会变得臭名昭著,从而影响流量分布。考虑水力模型的必要性变得非常重要。该文提出一种非线性模型预测算法,利用太阳场的水力模型来计算输入阀的孔径。结果表明,当管道长度增加时,本文提出的算法比文献中提出的其他算法获得了更好的结果。(c) 2022 年作者。由爱思唯尔有限公司代表欧洲控制协会出版。( http://creativecommons.org/licenses/by-nc-nd/4.0/ )

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