燃气轮机余锅及烟气余热制冷联合系统的优化设计

发布时间：2018-08-08 18:17

【摘要】：燃气轮机因投资小、灵活可靠和环保性能好而备受青睐,因而极大的带动了燃气轮机联合循环(Gas Turbine Combined Cycle,GTCC)工艺的迅速发展,其中燃机+余热锅炉+烟气余热吸收式制冷‖联合系统,因能较大限度的回收燃机乏气的余热,热效率高,受到学术和工程界的广泛重视。本文以某炼油厂固定热电冷需求(44MW电、1.0MPa蒸汽65t/h、2000k W冷量)的燃气轮机+单压不补燃余热锅炉+余锅烟气分离式热管溴化锂吸收式制冷‖联合系统为对象,在权衡设备情况,约定余锅排烟150~200°C的条件下,分燃机+余锅‖、单效溴化锂制冷机组‖、分离式热管烟气余热发生器‖三个子系统对联合系统进行了优化设计。首先建立了上述三个子系统的机理模型,然后通过自由度分析确定了三个子系统的独立变量数(分别为4、8、9),并依据工程约束和设计方便选定了相应的优化设计变量,再规定其目标函数分别为年度化总操作费用(TAC)、单位面积热力系数(A/COP)和发生器总传热系数(UH),然后分别编制了三个子系统的MATLAB遗传算法计算程序进行了优化求解。通过遗传算法优化后得到在对应最优设计条件下,第一个子系统的最小TAC为1283×104㱮/y,第二个子系统的最优A/COP为729.32(对应COP=0.7252、A=528.9 m2),第三个子系统的最优2=32.0W/(m C)HU×° 。
[Abstract]:Gas turbines are favored for their small investment, flexibility, reliability and good environmental protection performance, which greatly promote the rapid development of gas turbine combined cycle (Gas Turbine Combined cycle technology. The combined system of flue gas waste heat absorption refrigeration and cooling system of gas turbine waste heat boiler has been widely paid attention to by academic and engineering circles because of its high thermal efficiency due to its ability to recover the waste heat from spent gas of gas turbine to a large extent. In this paper, the fixed thermoelectric cooling demand (44MW 1.0 MPA steam 65t / h 2000kW cooling capacity) of a refinery is taken as the object of this paper. The combined system of lithium bromide absorption refrigeration and cooling system with separated heat pipe of flue gas from waste gas boiler with single pressure and no supplementary combustion of gas turbine is taken as the object of this paper, and the equipment situation is weighed. The optimal design of the combined system was carried out under the conditions of 150 ~ 200 掳C exhaust smoke from the residual boiler, three subsystems of the separated heat pipe flue gas waste heat generator and three subsystems, namely, the compartmentalized gas turbine, the single effect lithium bromide refrigeration unit and the separated heat pipe flue gas waste heat generator. Firstly, the mechanism model of the three subsystems mentioned above is established, and then the number of independent variables of the three subsystems is determined by the analysis of degrees of freedom (respectively 4 / 8 / 9), and the corresponding optimal design variables are selected according to the engineering constraints and design convenience. Then the objective function is defined as annual total operating cost (TAC),) thermal coefficient per unit area (A/COP) and generator total heat transfer coefficient (UH),). Then the MATLAB genetic algorithm program of three subsystems is developed to optimize the solution. Under the corresponding optimal design condition, the minimum TAC of the first subsystem is 1283 脳 10 4 / y, the optimal A/COP of the second subsystem is 729.32 (corresponding to A/COP 0.7252 An 528.9 m2), and the optimal 2=32.0W/ (m C) HU 脳掳of the third subsystem is obtained by genetic algorithm optimization.
【学位授予单位】：华南理工大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：TE96

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