• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Energy Conversion & Management >A modified DAEM: To study the bioenergy potential of invasive Staghorn Sumac through pyrolysis, ANN, TGA, kinetic modeling, FTIR and GC-MS analysis
【24h】

A modified DAEM: To study the bioenergy potential of invasive Staghorn Sumac through pyrolysis, ANN, TGA, kinetic modeling, FTIR and GC-MS analysis

机译：通过热解，安，TGA，动力学建模，FTIR和GC-MS分析，研究侵入性Staghorn Sumac的生物能源潜力

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Biomass is deemed to be an important contributor to satisfy our energy, chemicals and material requirements throughout the world. The present study aimed to study the bioenergy potential of Staghorn Sumac (SS) through modified distributed activation energy model (DAEM), kinetic models, thermogravimetric analyzer, elemental analyzer, Fourier transform infrared spectrometry (FTIR) and gas chromatography-mass spectrometry (GC-MS). Pyrolysis experiments were carried out at the different heating rates of 10, 20, 30 and 40 degrees C min(-1) to study kinetics. The average activation energy values achieved through DAEM, KAS, FWO and Starink models were 160, 167, 169, and 168 kJ mol(-1), respectively. Additionally, an Artificial Neural Network (ANN) model was equated with modified DAEM. Moreover, The composition of evolved gas compound measured by a gas chromatography coupled with mass spectroscopy showed that bio-oil mainly consisted of 82.33% acid, 6.37% aldehyde and ketone, 4.96% amid, 2.76% ester, 2.07% aromatic and alcohols, and 1.52% other groups. This study has revealed the remarkable potentials of Staghorn Sumac for clean bioenergy production.
机译：生物质被认为是满足全球能源，化学品和材料要求的重要贡献者。本研究旨在通过改进的分布式激活能量模型（DAEM），动力学模型，热重分析仪，元素分析仪，傅里叶变换红外光谱（FTIR）和气相色谱 - 质谱（GC-）来研究Staghorn Sumac（SS）的生物能源潜力。小姐）。热解实验以10,20,30和40摄氏度的不同加热速率进行，以研究动力学。通过DAEM，KAS，FWO和ATTINK模型实现的平均激活能量值分别为160,167,169和168 kJ摩尔（-1）。另外，人工神经网络（ANN）模型等同于修改的守护日。此外，通过气相色谱法测量的进化气体化合物的组成与质谱表示，生物油主要由82.33％酸，6.37％醛和酮，4.96％，2.76％酯，2.07％芳族和醇，和1.52％的其他组。本研究揭示了Staghorn Sumac用于清洁生物能源的显着潜力。

著录项

  • 来源
    《Energy Conversion & Management》 |2020年第10期|113173.1-113173.9|共9页
  • 作者

    Ahmad Muhammad Sajjad; Liu Hui; Alhumade Hesham; Tahir Muddasar Hussain; Cakman Gulce; Yildiz Agah; Ceylan Selim; Elkamel Ali; Shen Boxiong;

  • 作者单位

    Hebei Univ Technol Tianjin Key Lab Clean Energy & Pollutant Control Sch Energy & Environm Engn Tianjin Peoples R China;

    Univ Pittsburgh Dept Chem Engn Johnstown PA USA;

    King Abdulassiss Univ Fac Engn Dept Chem & Mat Engn Jeddah 21589 Saudi Arabia|King Abdulassiss Univ Ctr Res Excellence Renewable Energy & Power Syst Jeddah 21589 Saudi Arabia;

    Shandong Univ Sch Energy & Power Engn Jinan Peoples R China;

    Ondokuz Mayis Univ Engn Fac Chem Engn Dept TR-55139 Samsun Turkey;

    Ondokuz Mayis Univ Engn Fac Chem Engn Dept TR-55139 Samsun Turkey;

    Ondokuz Mayis Univ Engn Fac Chem Engn Dept TR-55139 Samsun Turkey;

    Khalifa Univ Petr Inst Dept Chem Engn Abu Dhabi U Arab Emirates|Univ Waterloo Dept Chem Engn Waterloo ON Canada;

    Hebei Univ Technol Tianjin Key Lab Clean Energy & Pollutant Control Sch Energy & Environm Engn Tianjin Peoples R China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Pyrolysis; Thermodynamics parameters; Bioenergy; Bio-oil; Artificial Neural Network; Gas Chromatography-Mass Spectrometry;

    机译：热解;热力学参数;生物能量;生物油;人工神经网络;气相色谱 - 质谱;

相似文献

  • 外文文献
  • 中文文献
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号