化学回热燃气轮机(chemically recuperated gas turbine,CRGT)是一种新型的高效低碳发电系统,适宜的设计参数有利于提升其循环性能。该文构建甲烷蒸汽重整化学回热燃气轮机循环系统模型,采用能量和㶲分析方法,探究关键参数的影响规律,并...化学回热燃气轮机(chemically recuperated gas turbine,CRGT)是一种新型的高效低碳发电系统,适宜的设计参数有利于提升其循环性能。该文构建甲烷蒸汽重整化学回热燃气轮机循环系统模型,采用能量和㶲分析方法,探究关键参数的影响规律,并与注蒸汽燃气轮机(steam injected gas turbine,STIG)循环进行对比。结果表明,在燃烧室出口温度为1100~1500℃、压比为10~30时,CRGT循环的发电效率比STIG循环高0.20~1.21个百分点,CRGT循环效率最高可达51.84%;燃烧室出口温度一定时,在低压比下,CRGT循环相比STIG循环的优势更为明显,压比一定时,燃烧室出口温度越高,效率提升得越多;与STIG循环相比,CRGT循环的冷却空气流量比降低0.5%~21.4%;CRGT循环的蒸汽产量低于STIG循环,余热将更多地转化为燃料中的化学能;CRGT循环的化学回热系统可回收65%~70%的排气㶲,排烟㶲损失低于STIG循环,化学回热系统㶲回收是循环效率提高的根本原因;甲烷蒸汽重整反应平衡温距每增大10℃,循环效率下降0.02~0.13个百分点,因此,有必要在化学回热反应器中实现高效的甲烷蒸汽重整反应。展开更多
In this study,a Gaussian Process Regression(GPR)surrogate model coupled with a Bayesian optimization algorithm was employed for the single-objective design optimization of fan-shaped film cooling holes on a concave wa...In this study,a Gaussian Process Regression(GPR)surrogate model coupled with a Bayesian optimization algorithm was employed for the single-objective design optimization of fan-shaped film cooling holes on a concave wall.Fan-shaped holes,commonly used in gas turbines and aerospace applications,flare toward the exit to form a protective cooling film over hot surfaces,enhancing thermal protection compared to cylindrical holes.An initial hole configuration was used to improve adiabatic cooling efficiency.Design variables included the hole injection angle,forward expansion angle,lateral expansion angle,and aperture ratio,while the objective function was the average adiabatic cooling efficiency of the concave wall surface.Optimization was performed at two representative blowing ratios,M=1.0 and M=1.5,using the GPR-based surrogate model to accelerate exploration,with the Bayesian algorithm identifying optimal configurations.Results indicate that the optimized fan-shaped holes increased cooling efficiency by 15.2%and 12.3%at low and high blowing ratios,respectively.Analysis of flow and thermal fields further revealed how the optimized geometry influenced coolant distribution and heat transfer,providing insight into the mechanisms driving the improved cooling performance.展开更多
文摘化学回热燃气轮机(chemically recuperated gas turbine,CRGT)是一种新型的高效低碳发电系统,适宜的设计参数有利于提升其循环性能。该文构建甲烷蒸汽重整化学回热燃气轮机循环系统模型,采用能量和㶲分析方法,探究关键参数的影响规律,并与注蒸汽燃气轮机(steam injected gas turbine,STIG)循环进行对比。结果表明,在燃烧室出口温度为1100~1500℃、压比为10~30时,CRGT循环的发电效率比STIG循环高0.20~1.21个百分点,CRGT循环效率最高可达51.84%;燃烧室出口温度一定时,在低压比下,CRGT循环相比STIG循环的优势更为明显,压比一定时,燃烧室出口温度越高,效率提升得越多;与STIG循环相比,CRGT循环的冷却空气流量比降低0.5%~21.4%;CRGT循环的蒸汽产量低于STIG循环,余热将更多地转化为燃料中的化学能;CRGT循环的化学回热系统可回收65%~70%的排气㶲,排烟㶲损失低于STIG循环,化学回热系统㶲回收是循环效率提高的根本原因;甲烷蒸汽重整反应平衡温距每增大10℃,循环效率下降0.02~0.13个百分点,因此,有必要在化学回热反应器中实现高效的甲烷蒸汽重整反应。
基金supported by the Jiangsu Association for Science and Technology,grant number SKX 0225089the National Natural Science Foundation of China,grant number 52476027.
文摘In this study,a Gaussian Process Regression(GPR)surrogate model coupled with a Bayesian optimization algorithm was employed for the single-objective design optimization of fan-shaped film cooling holes on a concave wall.Fan-shaped holes,commonly used in gas turbines and aerospace applications,flare toward the exit to form a protective cooling film over hot surfaces,enhancing thermal protection compared to cylindrical holes.An initial hole configuration was used to improve adiabatic cooling efficiency.Design variables included the hole injection angle,forward expansion angle,lateral expansion angle,and aperture ratio,while the objective function was the average adiabatic cooling efficiency of the concave wall surface.Optimization was performed at two representative blowing ratios,M=1.0 and M=1.5,using the GPR-based surrogate model to accelerate exploration,with the Bayesian algorithm identifying optimal configurations.Results indicate that the optimized fan-shaped holes increased cooling efficiency by 15.2%and 12.3%at low and high blowing ratios,respectively.Analysis of flow and thermal fields further revealed how the optimized geometry influenced coolant distribution and heat transfer,providing insight into the mechanisms driving the improved cooling performance.
