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Hybrid simulation and energy market based optimization of cement plants

机译：基于混合仿真和能源市场的水泥厂优化

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This paper presents an approach for equipping a cement plant with a wind power plant, a battery storage and an optimized control in order to reduce electricity supply cost and carbon dioxide (CO2) emissions as cement manufacturing is a traditional energy-intensive industrial process, that accounts for around 5% of global CO2 emissions. Therefore, a hybrid simulation model of a cement plant with an integrated optimized control algorithm, a wind turbine model including 24-h forecasts, and market access to the German day-ahead electricity market and the FRR market was built up. The results show, that applying only an optimized control of the cement plant without offering its flexibilities and renewable power supply in combination with a battery storage only causes a slight benefit. Adding flexibility and marketing to the model provides significant cost savings. Adding renewable energy sources and a battery storage to the cement plant can cause a further significant decrease of electricity supply cost per produced ton cement under certain conditions. Regarding the CO_2 emissions, installing a wind turbine has an decreasing impact, depending on the location.
机译：本文提出了一种为水泥厂配备风力发电厂，电池存储和优化控制的方法，以降低电力供应成本和二氧化碳（CO2）排放，因为水泥制造是传统的能源密集型工业过程，约占全球二氧化碳排放量的5％。因此，建立了具有集成优化控制算法的水泥厂混合仿真模型，包括24小时预测的风力发电机模型以及进入德国日前电力市场和FRR市场的市场准入。结果表明，仅对水泥厂进行优化控制而不提供灵活性和可再生电源以及电池存储，只会带来一点好处。为模型增加灵活性和市场营销可以节省大量成本。在某些条件下，向水泥厂添加可再生能源和电池存储可以进一步显着降低每生产一吨水泥的电力供应成本。关于CO_2排放，根据位置的不同，安装风力涡轮机的影响逐渐减小。

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