As conventional methods for beam pattern synthesis can not always obtain the desired optimum pattern for the arbitrary underwater acoustic sensor arrays,a hybrid numerical synthesis method based on adaptive principle ...As conventional methods for beam pattern synthesis can not always obtain the desired optimum pattern for the arbitrary underwater acoustic sensor arrays,a hybrid numerical synthesis method based on adaptive principle and genetic algorithm was presented in this paper.First,based on the adaptive theory,a given array was supposed as an adaptive array and its sidelobes were reduced by assigning a number of interference signals in the sidelobe region.An initial beam pattern was obtained after several iterations and adjustments of the interference intensity,and based on its parameters,a desired pattern was created.Then,an objective function based on the difference between the designed and desired patterns can be constructed.The pattern can be optimized by using the genetic algorithm to minimize the objective function.A design example for a double-circular array demonstrates the effectiveness of this method.Compared with the approaches existing before,the proposed method can reduce the sidelobe effectively and achieve less synthesis magnitude error in the mainlobe.The method can search for optimum attainable pattern for the specific elements if the desired pattern can not be found.展开更多
采用醇胺法工艺对高含碳天然气进行脱碳处理时,其能耗随着碳含量的增加而提高。为降低高含碳天然气的脱碳能耗,提出了一种醇胺法工艺(N-甲基二乙醇胺作吸收剂)与级间冷却、富液分流解吸、酸气再压缩热泵和蒸汽机械再压缩技术(MVR)热泵...采用醇胺法工艺对高含碳天然气进行脱碳处理时,其能耗随着碳含量的增加而提高。为降低高含碳天然气的脱碳能耗,提出了一种醇胺法工艺(N-甲基二乙醇胺作吸收剂)与级间冷却、富液分流解吸、酸气再压缩热泵和蒸汽机械再压缩技术(MVR)热泵工艺耦合的二氧化碳(CO_(2))捕集耦合工艺流程(简称“耦合工艺”)。采用AspenHysys软件对影响耦合工艺节能效果的关键参数(级间物流冷却温度、贫液节流后压力、酸气再压缩压力和再生塔底重沸器温度)进行了分析,并通过响应面分析与遗传算法结合的方式对关键参数进行了优化。结果表明,优化后耦合工艺的级间物流冷却温度为58℃,贫液节流后压力为0.084MPa,酸气再压缩压力为0.195MPa,再生塔底重沸器温度为92℃。与联合工艺(膜分离+醇胺法)相比,耦合工艺的能耗明显降低,脱碳单位能耗(脱除1 t CO_(2)需要消耗的能量)由1.338 GJ/t下降至1.110 GJ/t。与优化前相比,耦合工艺优化后的净化气中CO_(2)含量(体积分数)由2.533%下降至2.326%,脱碳单位能耗由1.110GJ/t下降至1.074GJ/t。展开更多
文摘As conventional methods for beam pattern synthesis can not always obtain the desired optimum pattern for the arbitrary underwater acoustic sensor arrays,a hybrid numerical synthesis method based on adaptive principle and genetic algorithm was presented in this paper.First,based on the adaptive theory,a given array was supposed as an adaptive array and its sidelobes were reduced by assigning a number of interference signals in the sidelobe region.An initial beam pattern was obtained after several iterations and adjustments of the interference intensity,and based on its parameters,a desired pattern was created.Then,an objective function based on the difference between the designed and desired patterns can be constructed.The pattern can be optimized by using the genetic algorithm to minimize the objective function.A design example for a double-circular array demonstrates the effectiveness of this method.Compared with the approaches existing before,the proposed method can reduce the sidelobe effectively and achieve less synthesis magnitude error in the mainlobe.The method can search for optimum attainable pattern for the specific elements if the desired pattern can not be found.
文摘采用醇胺法工艺对高含碳天然气进行脱碳处理时,其能耗随着碳含量的增加而提高。为降低高含碳天然气的脱碳能耗,提出了一种醇胺法工艺(N-甲基二乙醇胺作吸收剂)与级间冷却、富液分流解吸、酸气再压缩热泵和蒸汽机械再压缩技术(MVR)热泵工艺耦合的二氧化碳(CO_(2))捕集耦合工艺流程(简称“耦合工艺”)。采用AspenHysys软件对影响耦合工艺节能效果的关键参数(级间物流冷却温度、贫液节流后压力、酸气再压缩压力和再生塔底重沸器温度)进行了分析,并通过响应面分析与遗传算法结合的方式对关键参数进行了优化。结果表明,优化后耦合工艺的级间物流冷却温度为58℃,贫液节流后压力为0.084MPa,酸气再压缩压力为0.195MPa,再生塔底重沸器温度为92℃。与联合工艺(膜分离+醇胺法)相比,耦合工艺的能耗明显降低,脱碳单位能耗(脱除1 t CO_(2)需要消耗的能量)由1.338 GJ/t下降至1.110 GJ/t。与优化前相比,耦合工艺优化后的净化气中CO_(2)含量(体积分数)由2.533%下降至2.326%,脱碳单位能耗由1.110GJ/t下降至1.074GJ/t。
