2011
DOI: 10.1016/j.ijhydene.2011.04.097
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Modeling, synthesis and optimization of heat exchanger networks. Application to fuel processing systems for PEM fuel cells

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Cited by 17 publications
(10 citation statements)
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“…It must be kept at a very low concentration of the produced hydrogen that feeds the Fuel Cell because its membrane is sensitive to be poisoned by CO. Additionally, the heat integration must be considered to improve the efficiency of the hydrogen production via bio-ethanol. Some interesting ideas about a heat exchangers network design, able to guarantee maximum heat recovery and provide the best efficiency, was recently presented in [3].…”
Section: Introductionmentioning
confidence: 99%
“…It must be kept at a very low concentration of the produced hydrogen that feeds the Fuel Cell because its membrane is sensitive to be poisoned by CO. Additionally, the heat integration must be considered to improve the efficiency of the hydrogen production via bio-ethanol. Some interesting ideas about a heat exchangers network design, able to guarantee maximum heat recovery and provide the best efficiency, was recently presented in [3].…”
Section: Introductionmentioning
confidence: 99%
“…Nevertheless, the problem rapidly becomes intractable due to the large number of variables (both continuous and integer) and equations. Despite this problem, different researchers have solved relatively complex problems following this approach (de la Cruz et al, 2014;Martelli et al, 2017;Oliva et al, 2011;Onishi et al, 2014a;Vázquez-Ojeda et al, 2013;. To alleviate that problem, an alternative is to consider only the thermal effects (heat integration) without the design of a specific network; in other words, including in the optimization only the utilities and their nature (e.g., low, medium or high pressure steam) but not the investment costs of the heat exchangers network.…”
Section: Nomenclaturementioning
confidence: 99%
“…The application of the here proposed model-based optimization approach has been successfully applied by the authors in other processes such as single-purpose seawater desalination plants [34][35][36], dual-purpose desalination plants [37,38], combined cycle power plants [39,40], amine-based CO 2 capture processes [41,42], biological wastewater treatment plants [43,44], real-time optimization in energy systems [45], liquid biofuel processors for H 2 production coupled to stationary fuel cells [46,47] and its associated heat exchanger network for optimal energy integration [48]. For instance, based on process models, this approach allowed to find a new cost-effective configuration for multi-stage flash desalination processes [35,36], which differ from the conventional configuration in the locations of distillate, recycle, and discharge streams.…”
Section: Sensitivity Of the Optimal Solution To The H 2 Product Puritmentioning
confidence: 99%