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Reduction of greenhouse gas emissions from steam power plants through optimal integration with algae and cogeneration systems

机译:通过与藻类和热电联产系统的最佳集成,减少蒸汽发电厂的温室气体排放

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摘要

This paper presents an optimization approach for mitigating CO2 emissions in the electric power generation through integrated algae and cogeneration systems. A framework is proposed for the integration of biofixation of CO2 through the cultivation of microalgae, conversion of microalgae to biodiesel, and a steam power plant with cogeneration that is thermally coupled with an industrial facility. A systematic multi-objective optimization approach is developed to integrate the considered units while simultaneously addressing technical, economic, and environmental objectives. The solution of the optimization problem is carried out via a hierarchical decomposition approach, a genetic algorithm, and the epsilon-constraint method for solving the multi-objective optimization problem. A case study is considered to integrate an existing thermoelectric power station in Mexico with an algae-and-cogeneration system. The results show that important environmental, economic, and energy benefits can be achieved as a result of the proposed integration approach.
机译:本文提出了一种通过藻类和热电联产系统来减少发电中二氧化碳排放的优化方法。提出了一个框架,用于通过培养微藻类,将微藻类转化为生物柴油以及热电联产的蒸汽发电厂与工业设施进行热固化的整合来整合二氧化碳的生物固定作用。开发了系统的多目标优化方法,以整合考虑的单元,同时解决技术,经济和环境目标。通过分层分解方法,遗传算法和ε约束方法来解决优化问题,以解决多目标优化问题。考虑了一个案例研究,将墨西哥现有的热电厂与藻类和热电联产系统整合在一起。结果表明,所提出的整合方法可以实现重要的环境,经济和能源效益。

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