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Comprehensive study on novel parabolic trough solar receiver - reactors of gradually-varied porosity catalyst beds for hydrogen production

机译:新型抛物线槽太阳接收器-逐步变孔催化剂床的制氢反应器综合研究

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In this paper, novel parabolic trough solar receiver-reactors (PTSRR) of gradually-varied porosity catalyst beds are proposed for cost-efficient hydrogen production. A three-dimensional comprehensive model was developed for PTSRRs of the methanol-steam reforming reaction (MSRR) in porous Cu/ZnO/Al2O3 catalyst packed beds, by combining the finite volume method (FVM) and the Monte Carlo ray-tracing (MCRT) method with a MSRR comprehensive kinetic model. The validated model was applied to investigate different novel PTSRRs proposed, as well as the effects and mechanisms of different nonuniform porosity distributions, taking the methanol flow rate, the catalyst temperature limitation and the solar flux nonuniformity into account. It is revealed that the catalyst particles packed in the top part of the traditional absorber-reactor may not only have not fully played their roles but also influenced the multicomponent gas mixture fluid flow and heat transfer greatly. The non-uniform porosity catalyst bed gradually-increased from the bottom to the top better matches previously non-uniform temperature distributions and thus makes PTSRRs operated more safely, more efficiently yet lower cost of locally less packed catalyst mass. This comprehensive model and method offers a useful option of high potential for comprehensive analyses of the whole photo-thermal-chemical conversion process for different PTSRRs and realistic conditions. (C) 2019 Elsevier Ltd. All rights reserved.
机译:在本文中,提出了一种新型的渐进式孔隙率催化剂床的抛物槽式太阳能接收器(PTSRR),以具有成本效益的方式生产氢气。通过结合有限体积法(FVM)和蒙特卡洛射线追踪(MCRT),建立了多孔Cu / ZnO / Al2O3催化剂填充床中甲醇-蒸汽重整反应(MSRR)的PTSRR的三维综合模型。 MSRR综合动力学模型的方法。在考虑甲醇流速,催化剂温度限制和太阳光通量不均匀性的基础上,将经过验证的模型用于研究提出的不同的新型PTSRR,以及不同的不均匀孔隙率分布的影响和机理。结果表明,填充在传统吸收塔顶部的催化剂颗粒不仅不能充分发挥作用,而且对多组分混合气体的流动和传热有很大的影响。从底部到顶部逐渐增加的不均匀孔隙率催化剂床可以更好地匹配先前的不均匀温度分布,从而使PTSRR更安全,更有效地运行,并且降低了局部堆积催化剂质量的成本。这种综合的模型和方法为针对不同的PTSRR和实际条件对整个光热化学转化过程进行综合分析提供了高潜力的有用选择。 (C)2019 Elsevier Ltd.保留所有权利。

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