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Prediction and estimation of biomass energy from agricultural residues using air gasification technology in Iran

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  • Samadi, Seyed Hashem
  • Ghobadian, Barat
  • Nosrati, Mohsen

Abstract

Biomass energy has great potential to create significant impacts on the most pressing development challenges of rural poverty and environmental damage. Iran’s agricultural residues have the potential to generate a sustainable source of biomass. One method of sustainable biomass energy production is gasification. The objective of the present study is to develop a stoichiometric equilibrium model for the prediction of energy production of gasification. The model was validated with experimental data in order to determine the syngas composition. The RMSE of the modified model was ranged from 0.571 to 1.10. Subsequently, the effects of parameters of operating conditions on the performance of gasification were evaluated to determine its optimal performance characteristics. Also, the developed model was used to estimate the amount of power and heat obtained from different agricultural residues by the gasification process. The results indicated that the total achieved energy from the agricultural residues by gasification technology was 341,290 TJ. Also, the amount of electricity and heat obtained from this energy was 66,075 and 3 99,112 TJ, respectively.

Suggested Citation

  • Samadi, Seyed Hashem & Ghobadian, Barat & Nosrati, Mohsen, 2020. "Prediction and estimation of biomass energy from agricultural residues using air gasification technology in Iran," Renewable Energy, Elsevier, vol. 149(C), pages 1077-1091.
    • Handle: RePEc:eee:renene:v:149:y:2020:i:c:p:1077-1091
    DOI: 10.1016/j.renene.2019.10.109
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    2. Javaid Akhtar & Muhammad Imran & Arshid Mahmood Ali & Zeeshan Nawaz & Ayyaz Muhammad & Rehan Khalid Butt & Maria Shahid Jillani & Hafiz Amir Naeem, 2021. "Torrefaction and Thermochemical Properties of Agriculture Residues," Energies, MDPI, vol. 14(14), pages 1-13, July.
    3. Silva, Isabelly P. & Lima, Rafael M.A. & Santana, Hortência E.P. & Silva, Gabriel F. & Ruzene, Denise S. & Silva, Daniel P., 2022. "Development of a semi-empirical model for woody biomass gasification based on stoichiometric thermodynamic equilibrium model," Energy, Elsevier, vol. 241(C).
    4. Seyed Azad Nabavi & Alireza Aslani & Martha A. Zaidan & Majid Zandi & Sahar Mohammadi & Naser Hossein Motlagh, 2020. "Machine Learning Modeling for Energy Consumption of Residential and Commercial Sectors," Energies, MDPI, vol. 13(19), pages 1-22, October.
    5. Rahimi, Mohammad Javad & Ghorbani, Bahram & Amidpour, Majid & Hamedi, Mohammad Hossein, 2021. "Configuration optimization of a multi-generation plant based on biomass gasification," Energy, Elsevier, vol. 227(C).
    6. Tumen Ozdil, N.F. & Caliskan, M., 2022. "Energy potential from biomass from agricultural crops: Development prospects of the Turkish bioeconomy," Energy, Elsevier, vol. 249(C).
    7. Rahim Zahedi & Alireza Zahedi & Abolfazl Ahmadi, 2022. "Strategic Study for Renewable Energy Policy, Optimizations and Sustainability in Iran," Sustainability, MDPI, vol. 14(4), pages 1-29, February.
    8. Konneh, Keifa Vamba & Adewuyi, Oludamilare Bode & Gamil, Mahmoud M. & Fazli, Agha Mohammad & Senjyu, Tomonobu, 2023. "A scenario-based multi-attribute decision making approach for optimal design of a hybrid off-grid system," Energy, Elsevier, vol. 265(C).
    9. Mahmoud Ragab & Adil O. Khadidos & Abdulrhman M. Alshareef & Khaled H. Alyoubi & Diaa Hamed & Alaa O. Khadidos, 2023. "Internet of Things Assisted Solid Biofuel Classification Using Sailfish Optimizer Hybrid Deep Learning Model for Smart Cities," Sustainability, MDPI, vol. 15(16), pages 1-17, August.
    10. Fan, Yee Van & Romanenko, Sergey & Gai, Limei & Kupressova, Ekaterina & Varbanov, Petar Sabev & Klemeš, Jiří Jaromír, 2021. "Biomass integration for energy recovery and efficient use of resources: Tomsk Region," Energy, Elsevier, vol. 235(C).
    11. Saeed Solaymani, 2021. "A Review on Energy and Renewable Energy Policies in Iran," Sustainability, MDPI, vol. 13(13), pages 1-23, June.

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