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首页> 外文期刊>International journal of hydrogen energy >Investigation and optimization of a Co-Generation plant integrated of gasifier, gas turbine and heat pipes using minimization of Gibbs free energy, Lagrange method and response surface methodology
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Investigation and optimization of a Co-Generation plant integrated of gasifier, gas turbine and heat pipes using minimization of Gibbs free energy, Lagrange method and response surface methodology

机译:Gibbs自由能量,拉格朗日方法和响应面方法最小化气化器,燃气轮机和热管集成的共同植物的调查与优化

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摘要

A combined plant including a fluidized bed gasifier, a gas turbine, a domestic heat recovery, and heat pipes was proposed and investigated from the first and the second thermody- namic laws and environmental viewpoints. Two types of biomass (wheat straw and rice straw) were fed to the gasifier. A zero-dimensional model was validated against results available in the literature. Gibbs free energy minimization and Lagrange method of un- determined multipliers methods were utilized to obtain the unknown parameters. Effects of steam to biomass ratio of the steam biomass gasification, inlet turbine temperature, and compression ratio were investigated on the plant performances. Analysis of variance re- sults and Pareto chart of the standardized effects were carried out for net power, total exergy efficiency, and carbon dioxide emission of the combined plant. The plant was optimized using response surface methodology. The results indicated that the compres- sion ratio was the most effective parameter and the plant performance was enhanced by increasing the compression ratio. Wheat straw had better performance in comparison with rice straw. Increasing steam to biomass ratio improved the hydrogen production and decreased the cold gas efficiency. Net power was on maximum value at steam to biomass ratio of 1.0, inlet turbine temperature of 1173-1217 K, and compression ratio of 11-12. (C) 2020 Hydrogen Energy Publications LLC. Published by Elsevier Ltd. All rights reserved.
机译:提出了一种组合植物,包括流化床气化器,燃气轮机,国内热回收和热管,并从第一和第二热门法律和环境观点研究。将两种类型的生物质(小麦秸秆和稻草)送入气化炉。针对文献中可用的结果验证了零维模型。利用吉布斯自由能量最小化和无级乘法器方法的拉格朗日方法来获得未知参数。蒸汽生物质气化,入口涡轮温度和压缩比的蒸汽对生物质比的影响。对净功率,总漏洞效率和组合植物的二氧化碳排放进行了标准化效果的差异和帕累托图表分析。使用响应表面方法进行优化该植物。结果表明,通过增加压缩比来提高施用比率是最有效的参数,并且通过增加压缩比来提高植物性能。麦秸秆与稻草相比具有更好的性能。将蒸汽增加到生物质比改善了氢气产生并降低了冷气效率。净功率在蒸汽上以最大值为1.0,入口涡轮温度为1173-1217 k,压缩比为11-12。 (c)2020氢能源出版物LLC。 elsevier有限公司出版。保留所有权利。

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