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

被引:41
|
作者
Ahmad, Muhammad Sajjad [1 ]
Liu, Hui [2 ]
Alhumade, Hesham [3 ,4 ]
Tahir, Muddasar Hussain [5 ]
Cakman, Gulce [6 ]
Yildiz, Agah [6 ]
Ceylan, Selim [6 ]
Elkamel, Ali [7 ,8 ]
Shen, Boxiong [1 ]
机构
[1] Hebei Univ Technol, Tianjin Key Lab Clean Energy & Pollutant Control, Sch Energy & Environm Engn, Tianjin, Peoples R China
[2] Univ Pittsburgh, Dept Chem Engn, Johnstown, PA USA
[3] King Abdulaziz Univ, Fac Engn, Dept Chem & Mat Engn, Jeddah 21589, Saudi Arabia
[4] King Abdulaziz Univ, Ctr Res Excellence Renewable Energy & Power Syst, Jeddah 21589, Saudi Arabia
[5] Shandong Univ, Sch Energy & Power Engn, Jinan, Peoples R China
[6] Ondokuz Mayis Univ, Engn Fac, Chem Engn Dept, TR-55139 Samsun, Turkey
[7] Khalifa Univ, Petr Inst, Dept Chem Engn, Abu Dhabi, U Arab Emirates
[8] Univ Waterloo, Dept Chem Engn, Waterloo, ON, Canada
关键词
Pyrolysis; Thermodynamics parameters; Bioenergy; Bio-oil; Artificial Neural Network; Gas Chromatography-Mass Spectrometry; ACTIVATION-ENERGY MODEL; BIOMASS GASIFICATION; THERMAL-BEHAVIOR; CO-PYROLYSIS; RICE HUSK; WASTE; PRODUCTS; COMBUSTION; PARAMETERS; CHAR;
D O I
10.1016/j.enconman.2020.113173
中图分类号
O414.1 [热力学];
学科分类号
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.
引用
收藏
页数:9
相关论文
共 13 条
  • [1] A comprehensive study of facemasks pyrolysis using Py-GC/MS, kinetic analysis and ANN modeling
    Idris, Imad A.
    Nisamaneenate, Jurarat
    Atong, Duangduen
    Sricharoenchaikul, Viboon
    ARABIAN JOURNAL OF CHEMISTRY, 2024, 17 (03)
  • [2] Pyrolysis of 3D printed polylactic acid waste: A kinetic study via TG-FTIR/GC-MS analysis
    Zhang, Fan
    Sun, Yunan
    Li, Jianyuan
    Su, Hong
    Zhu, Zongsheng
    Yan, Beibei
    Cheng, Zhanjun
    Chen, Guanyi
    JOURNAL OF ANALYTICAL AND APPLIED PYROLYSIS, 2022, 166
  • [3] Pyrolysis of cocoa shell and its bioenergy potential: evaluating the kinetic triplet, thermodynamic parameters, and evolved gas analysis using TGA-FTIR
    Guilherme Davi Mumbach
    José Luiz Francisco Alves
    Jean Constantino Gomes da Silva
    Michele Di Domenico
    Rennio Felix de Sena
    Cintia Marangoni
    Ricardo Antonio Francisco Machado
    Ariovaldo Bolzan
    Biomass Conversion and Biorefinery, 2022, 12 : 723 - 739
  • [4] Pyrolysis of cocoa shell and its bioenergy potential: evaluating the kinetic triplet, thermodynamic parameters, and evolved gas analysis using TGA-FTIR
    Mumbach, Guilherme Davi
    Francisco Alves, Jose Luiz
    Gomes da Silva, Jean Constantino
    Di Domenico, Michele
    de Sena, Rennio Felix
    Marangoni, Cintia
    Francisco Machado, Ricardo Antonio
    Bolzan, Ariovaldo
    BIOMASS CONVERSION AND BIOREFINERY, 2022, 12 (03) : 723 - 739
  • [5] Bioenergy potential of Wolffia arrhiza appraised through pyrolysis, kinetics, thermodynamics parameters and TG-FTIR-MS study of the evolved gases
    Ahmad, Muhammad Sajjad
    Mehmood, Muhammad Aamer
    Liu, Chen-Guang
    Tawab, Abdul
    Bai, Feng-Wu
    Sakdaronnarong, Chularat
    Xu, Jianren
    Rahimuddin, Sawsan Abdulaziz
    Gull, Munazza
    BIORESOURCE TECHNOLOGY, 2018, 253 : 297 - 303
  • [6] Unlocking the potential of pequi (Caryocar brasiliense) residues for bioenergy and renewable chemicals: Multicomponent kinetic modeling, thermodynamic parameter estimation, and characterization of volatile products through TGA and Py-GC/MS experiments
    Mumbach, Guilherme Davi
    da Silva, Jean Constantino Gomes
    Di Domenico, Michele
    Liborio, Denisson de Oliveira
    Pacheco, Jose Geraldo Andrade
    INDUSTRIAL CROPS AND PRODUCTS, 2024, 209
  • [7] Evaluating the bioenergy potential of kitchen wastes fermentation residues through pyrolysis kinetics, thermodynamics and Py-GC/MS analysis technique
    Zhao, Hui
    Zhang, Huirong
    Sun, Mingze
    Liu, Bo
    Chen, Wenjie
    Dang, Chuanyu
    Zhong, Hui
    Jiang, Jinju
    Qin, Song
    Han, Zuozhen
    Yan, Huaxiao
    JOURNAL OF THERMAL ANALYSIS AND CALORIMETRY, 2023, 148 (03) : 995 - 1010
  • [8] Evaluating the bioenergy potential of kitchen wastes fermentation residues through pyrolysis kinetics, thermodynamics and Py-GC/MS analysis technique
    Hui Zhao
    Huirong Zhang
    Mingze Sun
    Bo Liu
    Wenjie Chen
    Chuanyu Dang
    Hui Zhong
    Jinju Jiang
    Song Qin
    Zuozhen Han
    Huaxiao Yan
    Journal of Thermal Analysis and Calorimetry, 2023, 148 : 995 - 1010
  • [9] GC-MS/MS Analysis and Wound Repair Potential of Urtica dioica Essential Oil: In silico Modeling and In vivo Study in Rats
    Ben Chira, Ahlem
    Kadmi, Yassine
    Badraoui, Riadh
    Aouadi, Kaiss
    Alhawday, Fahad
    Boudaya, Mariem
    Jamoussi, Kamel
    Kallel, Choumous
    El Feki, Abdelfattah
    Kadri, Adel
    Saoudi, Mongi
    CURRENT PHARMACEUTICAL BIOTECHNOLOGY, 2025, 26 (04) : 591 - 607
  • [10] ANN Modeling of HS-SPME/GC-MS and Sensory Analysis of Potato Clones as a Potential Flavor Prediction Tool during Selective Breeding
    Bough, Raven A.
    Jayanty, Sastry S.
    Holm, David
    HORTSCIENCE, 2015, 50 (09) : S302 - S302