Optimization of global and local pollution control in electricity production from coal burning
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Date
2012-04
Publication Type
Journal Article
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Abstract
World electricity generation is expected to strongly increase over the next 25 years, 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 500 MW (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. © 2011 Elsevier Ltd. All rights reserved.
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published
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Journal / series
Volume
92
Pages / Article No.
369 - 378
Publisher
Elsevier
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Subject
Multi-objective optimization; Coal-fired power plant; Environmental sustainability; Best available techniques
Organisational unit
09655 - Guillén Gosálbez, Gonzalo / Guillén Gosálbez, Gonzalo