Optimization of global and local pollution control in electricity production from coal burning
Optimization of global and local pollution control in electricity production from coal burning
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DOI：
10.1016/j.apenergy.2011.11.028
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发表时间：
2012-04
期刊：
影响因子：
11.2
通讯作者：
J. Cristóbal;G. Guillén‐Gosálbez;Laureano Jiménez;Á. Irabien
中科院分区：
文献类型：
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作者：
J. Cristóbal;G. Guillén‐Gosálbez;Laureano Jiménez;Á. Irabien
预计未来25年世界发电量将强劲增长，这主要是由于新兴经济体的需求。在这种情况下，煤炭可能仍然是最重要的能源之一。到目前为止，已经提出了几种污染控制装置作为最佳可得技术（BAT）来改造燃煤电厂，以尽量减少其对环境的影响。在这项工作中，我们开发了一个系统的方法，基于多目标优化的燃煤电厂污染控制装置的优化设计，同时考虑经济和环境标准。我们的配方包括预测减排技术的成本和性能的非线性模型。该设计任务是制定一个双标准混合整数非线性规划（MINLP）问题，其中的解决方案是由一组帕累托点，代表两个目标函数之间的最佳权衡定义的数学术语。以某500 MW（总）燃用低硫烟煤的煤粉电厂为例，探讨了该方法的适用性。数值结果表明，它是可能的，以减少这些设施的影响，在边际成本增加，通过调整的操作条件和能力的控制污染装置。
World electricity generation is expected to strongly increase over the next 25years, mainly due to the demand of the emerging economies. In this context, coal is likely to remain as one of the most important energy sources. Several pollution control devices have been proposed so far as Best Available Techniques (BATs) to retrofit coal combustion plants in order to minimize their environmental impact. In this work we have developed a systematic method based on multi-objective optimization for the optimal design of pollution control devices in coal-fired plants that considers simultaneously economic and environmental criteria. Our formulation includes nonlinear models for predicting the cost and performance of the abatement technologies. The design task is formulated in mathematical terms as a bi-criteria mixed-integer nonlinear programming (MINLP) problem, the solution of which is defined by a set of Pareto points that represent the optimal trade-off between the two objective functions. The applicability of this method is explored through a case study based on a pulverized coal power plant of 500MW (gross), burning low-sulfur bituminous coal. Numerical results show that it is possible to reduce the impact of these facilities at a marginal increase in cost by adjusting the operating conditions and capacities of the control pollution devices.