Abstract This paper presents an energy and exergy co-optimization method of integrated gasification combined cycle (IGCC) based on Fuzzy Supervisory Predictive Control (FSPC). Firstly, a green IGCC process is proposed which contains three principle couplings: air separation unit (ASU), heat recovery steam generator (HRSG) and CO2 capture/storage unit (CCS). From law of thermodynamics, using substance thermophysical parameters, the energy efficiency and exergy efficiency of IGCC are successively defined. The IGCC power station has features such as closed coupling, large time lag and non-linearity, however, faster response speed and lower overshoot are always the unremitting pursuits. Therefore, the Fuzzy Supervisory Predictive Control (FSPC) method is proposed to implement robust control under complex disturbances by pre-considering unmeasurable disturbance and measurable disturbance. The fuzzy rules extracted from historical bigdata are employed in supervisory layer to make the precise control decisions. Finally, the energy and exergy co-optimization model is built and solved for higher efficiency and economic effectiveness. Taking the large-scale (300MW) IGCC for example, after using FSPC, the efficiency of water recovery is increased from 40.7% to 62.1% with the ratio of 52.6% because of waste water recovery (WWR) system. The net efficiency of proposed IGCC system is increased from 37.6% to 41.7% with the ratio of 10.9%. The exergy efficiency of IGCC system is increased from 36.5% to 39.2% with the ratio of 7.4%. The proposed method has great significance for the energy-saving and Near-zero emissions (NZEC) IGCC with high safety and robust control under supercritical (SC) or ultra-super critical (USC) state.

中文翻译：

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基于模糊监督预测控制的低排放IGCC能量和火用协同优化

摘要 提出了一种基于模糊监督预测控制（FSPC）的综合气化联合循环（IGCC）的能量和火用协同优化方法。首先，提出了一种绿色 IGCC 工艺，它包含三个主要耦合：空气分离单元 (ASU)、热回收蒸汽发生器 (HRSG) 和 CO2 捕获/存储单元 (CCS)。从热力学定律，利用物质热物理参数，依次定义了IGCC的能量效率和火用效率。IGCC电站具有闭耦合、大时滞、非线性等特点，而更快的响应速度和更低的超调一直是人们不懈的追求。所以，提出了模糊监督预测控制（FSPC）方法，通过预先考虑不可测干扰和可测干扰，实现复杂干扰下的鲁棒控制。监管层采用从历史大数据中提取的模糊规则进行精确的控制决策。最后，建立并求解能量和火用协同优化模型，以提高效率和经济效益。以大型（300MW）IGCC为例，采用FSPC后，由于废水回收（WWR）系统，水回收效率从40.7%提高到62.1%，比例为52.6%。提议的 IGCC 系统的净效率从 37.6% 增加到 41.7%，比率为 10.9%。IGCC系统的火用效率从36.5%提高到39.2%，比例为7.4%。