Fuzzy system in a ferrous sulfate pre-treatment of elephant grass

IF 0.8 Q3 AGRICULTURE, MULTIDISCIPLINARY Pesquisa Agropecuaria Tropical Pub Date : 2022-01-01 DOI:10.1590/1983-40632022v5270483
E. Z. Godinho, F. L. Caneppele
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引用次数: 1

Abstract

ABSTRACT Renewable energies have been occupying more and more space in energy matrices worldwide, and lignocellulosic biomasses are promising for these energy sources. This study aimed to develop a fuzzy model to optimize the ferrous sulfate concentration and temperature in the pre-treatment of elephant grass. Five concentrations (10, 15, 20, 25 and 30 mM) and three temperatures (25, 40 and 55 ºC) were used as input. The application of the fuzzy model evidenced that the best results for cellulose exposure (53.1 %) were achieved by using a ferrous sulfate concentration between 20 and 22.5 mM and temperature between 39.5 and 42.5 ºC.
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模糊系统在硫酸亚铁预处理象草中的应用
可再生能源在世界范围内的能源结构中占有越来越大的地位,而木质纤维素生物质是可再生能源的重要来源。本研究旨在建立一个模糊模型来优化象草预处理过程中硫酸亚铁的浓度和温度。5种浓度(10、15、20、25和30 mM)和3种温度(25、40和55ºC)作为输入。模糊模型的应用表明,当硫酸亚铁浓度为20 ~ 22.5 mM,温度为39.5 ~ 42.5℃时,纤维素暴露的最佳效果为53.1%。
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来源期刊
Pesquisa Agropecuaria Tropical
Pesquisa Agropecuaria Tropical AGRICULTURE, MULTIDISCIPLINARY-
CiteScore
1.40
自引率
20.00%
发文量
26
审稿时长
20 weeks
期刊最新文献
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