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Design and Multiobjective Dynamic Optimization of Superheaters for Load-Following Operation in Pulverized Coal Power Plants
Industrial & Engineering Chemistry Research ( IF 3.8 ) Pub Date : 2023-12-20 , DOI: 10.1021/acs.iecr.3c02130
Quang Minh Le 1 , Jinliang Ma 2 , Debangsu Bhattacharyya 1 , Stephen E Zitney 1, 3 , Anthony P Burgard 2
Affiliation  

Pulverized coal power plants are increasingly participating in aggressive load-following markets, therefore necessitating the design and optimization of primary superheaters for flexible operations. These superheaters play a critical role in maintaining the final steam temperature of the steam turbine, but their high operating temperatures and pressures make them prone to failure. This study focuses on the optimal design of future-generation primary superheaters for a fast load-following operation. To achieve this, a detailed first-principles model of a primary superheater is developed along with submodels for stress and fatigue damage. Two single-objective optimization problems are solved: one for minimizing metal mass as a measure of capital cost and another for minimizing pressure drop on the steam side as a measure of operating cost. Since these objective functions conflict, a multiobjective optimization problem is executed using a weighted metric methodology. Results from these optimization studies show that the base case design can violate stress constraints during the aggressive load-following operation. However, by optimizing the design variables, it is possible to not only satisfy tight stress constraints but also achieve the desired number of allowable cycles and adhere to the steam outlet temperature constraint. In addition, the optimized design reduces either the metal mass or the steam-side pressure drop compared to that of the base case design. Importantly, this approach is not limited to primary superheaters alone but can also be applied to similar high-temperature heat exchangers in other applications.

中文翻译:


煤粉电厂负荷跟踪运行过热器设计与多目标动态优化



煤粉发电厂越来越多地参与积极的负荷跟踪市场,因此需要设计和优化主过热器以实现灵活运行。这些过热器在维持汽轮机的最终蒸汽温度方面发挥着关键作用,但其高工作温度和压力使其容易发生故障。本研究重点关注下一代主过热器的优化设计,以实现快速负荷跟踪运行。为了实现这一目标,开发了主过热器的详细第一性原理模型以及应力和疲劳损伤的子模型。解决了两个单目标优化问题:一个是最小化金属质量,作为资本成本的衡量标准,另一个是最小化蒸汽侧的压降,作为运营成本的衡量标准。由于这些目标函数存在冲突,因此使用加权度量方法来执行多目标优化问题。这些优化研究的结果表明,基本情况设计在积极的负载跟踪操作期间可能会违反应力约束。然而,通过优化设计变量,不仅可以满足严格的应力约束,还可以实现所需的允许循环次数并遵守蒸汽出口温度约束。此外,与基础案例设计相比,优化设计减少了金属质量或蒸汽侧压降。重要的是,这种方法不仅限于主过热器,还可以应用于其他应用中的类似高温热交换器。
更新日期:2023-12-20
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