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Algorithmic tools for optimizing the temperature regime of evaporator at absorption-refrigeration units of ammonia production

机译:用于优化氨生产吸收式制冷单元蒸发器温度调节的算法工具

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摘要

We analyzed evaporators at absorption-refrigeration plants in a secondary condensation unit of ammonia production as control objects. Coordinates of the vectors of state, control and external perturbations were determined. The necessity of solving the problem on minimizing the cooling temperature of a circulating gas at evaporators in order to improve the energy efficiency of production was substantiated. Based on the analysis of industrial hardware-technological implementation of units for primary and secondary condensation, we elucidated features of operating conditions of evaporators, which predetermine the parametric uncertainty in the functioning of control objects. The main one among these uncertainties is associated with the control action related to the consumption of reflux. By using the method of mathematical modeling, based on the developed algorithm, we defined patterns of control action related to the consumption of reflux on the efficiency of heat exchange processes at evaporators in the absorption refrigeration units. We have established the extreme character of dependence of the heat flow (cooling capacity) and the temperature of cooling a circulating gas on the consumption of reflux. Maximum cooling capacity, and therefore the minimum temperature of cooling a circulating gas at a certain temperature head, are predetermined by the achievement of a critical regime of the bubbling boiling of a refrigerant. A further increase in the temperature head with an increase in the consumption of reflux contributes to the establishment of the transitional regime and reduces effectiveness of the heat exchange surface. We determined indicators of energy efficiency for ammonia production, namely, natural gas consumption under conditions of change in the control action related to the consumption of reflux and values of coordinates for the perturbation vector. The developed algorithmic tools make it possible to carry out the task on minimizing the cooling temperature of a circulating gas using a gradient-free technique of the step type applying the methods for a one-dimensional search for an extremum. It is shown that minimizing the cooling temperature of a circulating gas could reduce annual natural gas consumption by 500 thousand nm3 on average.
机译:我们分析了在氨生产二次冷凝单元中的吸收 - 制冷厂的蒸发器作为对照对象。确定了状态,控制和外部扰动的载体的坐标。解决了关于最小化蒸发器循环气体冷却温度以提高生产能源效率的问题的必要性。基于对初级和二次冷凝单位工业硬件技术实施的分析,我们阐明了蒸发器的运行条件的特征,这使得预先确定了控制物体的运作中的参数不确定性。这些不确定因素中的主要是与与回流消耗有关的控制作用有关。通过使用数学建模方法,基于发达的算法,我们定义了与吸收式制冷装置中蒸发器中的热交换过程的效率消耗的控制动作模式。我们建立了热流(冷却能力)依赖性的极端特征,以及冷却循环气体对回流消耗的温度。最大冷却能力,并因此在一定温度下盖冷却的循环气体的最低温度,通过制冷剂的起泡沸腾的临界制度的实现预先确定的。热量头的进一步增加随着回流消耗的增加有助于建立过渡方案并降低热交换表面的有效性。我们确定了氨生产的能效指标,即在与扰动载体的坐标消耗的控制作用的变化条件下的天然气消耗。开发的算法工具可以使用步进类型的梯度技术来执行最小化循环气体的冷却温度的任务,该方法应用用于极值的一维搜索的一维搜索方法。结果表明,最小化循环气体的冷却温度可以平均将年度天然气消耗减少500万纳米。

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