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Design optimization of single mixed refrigerant natural gas liquefaction process using the particle swarm paradigm with nonlinear constraints

机译:基于非线性约束的粒子群范式对混合制冷剂天然气液化过程的设计优化

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摘要

The particle swarm paradigm is employed to optimize single mixed refrigerant natural gas liquefaction process. Liquefaction design involves multivariable problem solving and non-optimal execution of these variables can waste energy and contribute to process irreversibilities. Design optimization requires these variables to be optimized simultaneously; minimizing the compression energy requirement is selected as the optimization objective. Liquefaction is modeled using Honeywell UniSim Design~TM and the resulting rigorous model is connected with the particle swarm paradigm coded in MATLAB. Design constraints are folded into the objective function using the penalty function method. Optimization successfully improved efficiency by reducing the compression energy requirement by en. 10% compared with the base case.
机译:粒子群范式用于优化单一混合制冷剂天然气的液化过程。液化设计涉及多变量问题解决,而这些变量的非最优执行会浪费能量并导致过程不可逆性。设计优化需要同时优化这些变量。选择最小化压缩能量需求作为优化目标。使用霍尼韦尔UniSim Design〜TM对液化进行建模,并将得到的严格模型与MATLAB中编码的粒子群范式联系起来。使用惩罚函数方法将设计约束折叠到目标函数中。优化通过将压缩能量需求降低了en成功地提高了效率。与基本情况相比为10%。

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