【作者】 张宇；

【导师】 鄢烈祥； 史彬；

【作者基本信息】 武汉理工大学 ， 化学工程， 2014， 硕士

【摘要】 煤炭作为重要的能源资源，如何高效并清洁的利用它是当今的一个热点。上世纪末提出的多联产系统概念是对煤炭高效、清洁、经济利用的一种共识。先进的多联产系统实现了化学能、热能、电能的优化集成，提高了能源的利用效率并满足了污染物的“零排放”，具有广阔的应用前景。化学链燃烧作为一种能量梯级利用技术，在减少废物排放的同时实现了能量的释放，是解决能源短缺和环境污染问题的突破口。基于以上研究背景，本文详细分析了整体煤气化链式燃烧联合循环发电系统的各个单元，并通过Aspen Plus流程模拟软件对整个循环系统进行模拟，得到了初始的循环发电净效率。同时，选择非支配排序进化策略这一多目标优化算法，通过求解测试函数来与传统的多目标优化算法——NSGA-II进行比较，验证了所选算法的可靠性和优越性。在此基础上，将循环系统中的煤气化单元和空分单元分别结合该算法进行多目标优化计算。在煤气化单元多目标优化中，本文选取氧煤比，水煤比和气化炉压力为操作变量，冷煤气效率最高和有效气产出率最大为优化目标；在空分制氧单元多目标优化中，本文选取空气进料量和高压塔塔顶出口流股流率为操作变量，氧气提取率最大和空分单元总能耗最小为优化目标，并在Aspen Plus中规定氮流股含氮量和产品氧流股含氧量。分别将优化后的操作参数值代入到循环系统模拟流程中，得到优化后的系统净发电效率，通过与原工况的净发电效率进行比较表明，两个单元的操作优化对循环系统净发电效率的结果均有所提高，且煤气化单元的优化效果提高更为明显。更多还原

【Abstract】 It is a hotspot today that how to clean and effective utilization of coal, which isan important energy resource. Poly-generation, which based on IGCC and put forwardat the end of last century, is a consensus for high efficient, clean and economic use ofcoal. Advanced integrated system, which has a broad application prospect, realizedthe optimization of chemical energy, heat and electricity integration. It can alsoimprove the energy utilization efficiency and satisfies the requirement of zeropollutant discharge. As a kind of energy cascade utilization technology, chemicallooping combustion is treated as the breakthrough point to solve the problem ofenergy shortage and environmental pollution, it can reduce the waste emissions andrealize the release of energy.In this paper, coal gasification-chemical looping combustion combined cyclesystem is analyzed and simulated by Aspen Plus. After the simulation, the initialefficiency of circulatory system is generated. On the other hand, a multi-objectiveoptimization algorithm, non-dominated sorting evolution strategy (NSES) iscompared with a traditional algorithm (NSGA-II) in solution of test function. Theresults show the effectiveness and superiority of NSES. On this basis, the coalgasification unit and air separation unit is combined with NSES respectively to themulti-objective optimization.In coal gasification unit, the ratio of oxygen/coal, ratio of water/coal andgasification pressure are selected as optimization variables; the maximize yield ofeffective gases and maximize cold gas efficiency are treated as goals. In air separationunit, the feed rate of air and the high pressure tower outlet flow rate are selected asoptimization variables; The maximize yield of oxygen and minimize of the unit’senergy consumption are treated as goals, on the other hand, the nitrogen content ofnitrogen flow and oxygen content of oxygen flow must be stipulated in Aspen Plus.After optimization, the optimized efficiency of circulatory system is generated bysubstitute the optimized operating variables into simulation. The results show that theoptimization of two units has improvement of the circulatory system’s efficiency, butthe multi-objective of coal gasification unit’s optimization is more effective.更多还原