IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v14y2021i11p3000-d559866.html
   My bibliography  Save this article

Towards Engineered Hydrochars: Application of Artificial Neural Networks in the Hydrothermal Carbonization of Sewage Sludge

Author

Listed:
  • Theodoros N. Kapetanakis

    (Department of Electronic Engineering, Hellenic Mediterranean University, Chania, 73100 Crete, Greece)

  • Ioannis O. Vardiambasis

    (Department of Electronic Engineering, Hellenic Mediterranean University, Chania, 73100 Crete, Greece)

  • Christos D. Nikolopoulos

    (Department of Electronic Engineering, Hellenic Mediterranean University, Chania, 73100 Crete, Greece)

  • Antonios I. Konstantaras

    (Department of Electronic Engineering, Hellenic Mediterranean University, Chania, 73100 Crete, Greece)

  • Trinh Kieu Trang

    (Applied Chemistry Course, Department of Engineering, Kyushu Institute of Technology, Graduate School of Engineering, 1-1 Sensuicho, Tobata-ku, Kitakyushu 804-8550, Japan)

  • Duy Anh Khuong

    (Applied Chemistry Course, Department of Engineering, Kyushu Institute of Technology, Graduate School of Engineering, 1-1 Sensuicho, Tobata-ku, Kitakyushu 804-8550, Japan)

  • Toshiki Tsubota

    (Department of Applied Chemistry, Faculty of Engineering, Kyushu Institute of Technology, 1-1 Sensuicho, Tobata-ku, Kitakyushu 804-8550, Japan)

  • Ramazan Keyikoglu

    (Department of Environmental Engineering, Gebze Technical University, 41400 Gebze, Turkey)

  • Alireza Khataee

    (Department of Environmental Engineering, Gebze Technical University, 41400 Gebze, Turkey
    Research Laboratory of Advanced Water and Wastewater Treatment Processes, Department of Applied Chemistry, Faculty of Chemistry, University of Tabriz, Tabriz 51666-16471, Iran)

  • Dimitrios Kalderis

    (Department of Electronic Engineering, Hellenic Mediterranean University, Chania, 73100 Crete, Greece)

Abstract

Sewage sludge hydrochars (SSHs), which are produced by hydrothermal carbonization (HTC), offer a high calorific value to be applied as a biofuel. However, HTC is a complex processand the properties of the resulting product depend heavily on the process conditions and feedstock composition. In this work, we have applied artificial neural networks (ANNs) to contribute to the production of tailored SSHs for a specific application and with optimum properties. We collected data from the published literature covering the years 2014–2021, which was then fed into different ANN models where the input data (HTC temperature, process time, and the elemental content of hydrochars) were used to predict output parameters (higher heating value, (HHV) and solid yield (%)). The proposed ANN models were successful in accurately predicting both HHV and contents of C and H. While the model NN 1 (based on C, H, O content) exhibited HHV predicting performance with R 2 = 0.974, another model, NN 2 , was also able to predict HHV with R 2 = 0.936 using only C and H as input. Moreover, the inverse model of NN 3 (based on H, O content, and HHV) could predict C content with an R 2 of 0.939.

Suggested Citation

  • Theodoros N. Kapetanakis & Ioannis O. Vardiambasis & Christos D. Nikolopoulos & Antonios I. Konstantaras & Trinh Kieu Trang & Duy Anh Khuong & Toshiki Tsubota & Ramazan Keyikoglu & Alireza Khataee & D, 2021. "Towards Engineered Hydrochars: Application of Artificial Neural Networks in the Hydrothermal Carbonization of Sewage Sludge," Energies, MDPI, vol. 14(11), pages 1-15, May.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:11:p:3000-:d:559866
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/14/11/3000/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/14/11/3000/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Lu, Xiaoluan & Ma, Xiaoqian & Chen, Xinfei, 2021. "Co-hydrothermal carbonization of sewage sludge and lignocellulosic biomass: Fuel properties and heavy metal transformation behaviour of hydrochars," Energy, Elsevier, vol. 221(C).
    2. Akdeniz, Fikret & Biçil, Metin & Karadede, Yusuf & Özbek, Füreya Elif & Özdemir, Gültekin, 2018. "Application of real valued genetic algorithm on prediction of higher heating values of various lignocellulosic materials using lignin and extractive contents," Energy, Elsevier, vol. 160(C), pages 1047-1054.
    3. Wang, Liping & Chang, Yuzhi & Li, Aimin, 2019. "Hydrothermal carbonization for energy-efficient processing of sewage sludge: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 108(C), pages 423-440.
    4. Wang, Tengfei & Zhai, Yunbo & Zhu, Yun & Li, Caiting & Zeng, Guangming, 2018. "A review of the hydrothermal carbonization of biomass waste for hydrochar formation: Process conditions, fundamentals, and physicochemical properties," Renewable and Sustainable Energy Reviews, Elsevier, vol. 90(C), pages 223-247.
    5. Ioannis O. Vardiambasis & Theodoros N. Kapetanakis & Christos D. Nikolopoulos & Trinh Kieu Trang & Toshiki Tsubota & Ramazan Keyikoglu & Alireza Khataee & Dimitrios Kalderis, 2020. "Hydrochars as Emerging Biofuels: Recent Advances and Application of Artificial Neural Networks for the Prediction of Heating Values," Energies, MDPI, vol. 13(17), pages 1-20, September.
    6. Li, Jie & Pan, Lanjia & Suvarna, Manu & Tong, Yen Wah & Wang, Xiaonan, 2020. "Fuel properties of hydrochar and pyrochar: Prediction and exploration with machine learning," Applied Energy, Elsevier, vol. 269(C).
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Salah Jellali & Antonis A. Zorpas & Sulaiman Alhashmi & Mejdi Jeguirim, 2022. "Recent Advances in Hydrothermal Carbonization of Sewage Sludge," Energies, MDPI, vol. 15(18), pages 1-6, September.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Kossińska, Nina & Krzyżyńska, Renata & Ghazal, Heba & Jouhara, Hussam, 2023. "Hydrothermal carbonisation of sewage sludge and resulting biofuels as a sustainable energy source," Energy, Elsevier, vol. 275(C).
    2. Wang, Ruikun & Lin, Zhaohua & Meng, Shu & Liu, Senyang & Zhao, Zhenghui & Wang, Chunbo & Yin, Qianqian, 2022. "Effect of lignocellulosic components on the hydrothermal carbonization reaction pathway and product properties of protein," Energy, Elsevier, vol. 259(C).
    3. Ioannis O. Vardiambasis & Theodoros N. Kapetanakis & Christos D. Nikolopoulos & Trinh Kieu Trang & Toshiki Tsubota & Ramazan Keyikoglu & Alireza Khataee & Dimitrios Kalderis, 2020. "Hydrochars as Emerging Biofuels: Recent Advances and Application of Artificial Neural Networks for the Prediction of Heating Values," Energies, MDPI, vol. 13(17), pages 1-20, September.
    4. Wilk, Małgorzata & Śliz, Maciej & Lubieniecki, Bogusław, 2021. "Hydrothermal co-carbonization of sewage sludge and fuel additives: Combustion performance of hydrochar," Renewable Energy, Elsevier, vol. 178(C), pages 1046-1056.
    5. Śliz, Maciej & Wilk, Małgorzata, 2020. "A comprehensive investigation of hydrothermal carbonization: Energy potential of hydrochar derived from Virginia mallow," Renewable Energy, Elsevier, vol. 156(C), pages 942-950.
    6. Wei, Yingyuan & Fakudze, Sandile & Zhang, Yiming & Ma, Ru & Shang, Qianqian & Chen, Jianqiang & Liu, Chengguo & Chu, Qiulu, 2022. "Co-hydrothermal carbonization of pomelo peel and PVC for production of hydrochar pellets with enhanced fuel properties and dechlorination," Energy, Elsevier, vol. 239(PD).
    7. Małgorzata Wilk & Marcin Gajek & Maciej Śliz & Klaudia Czerwińska & Lidia Lombardi, 2022. "Hydrothermal Carbonization Process of Digestate from Sewage Sludge: Chemical and Physical Properties of Hydrochar in Terms of Energy Application," Energies, MDPI, vol. 15(18), pages 1-17, September.
    8. Zhuang, Xiuzheng & Liu, Jianguo & Zhang, Qi & Wang, Chenguang & Zhan, Hao & Ma, Longlong, 2022. "A review on the utilization of industrial biowaste via hydrothermal carbonization," Renewable and Sustainable Energy Reviews, Elsevier, vol. 154(C).
    9. Yan, Mi & Liu, Yu & Song, Yucai & Xu, Aiming & Zhu, Gaojun & Jiang, Jiahao & Hantoko, Dwi, 2022. "Comprehensive experimental study on energy conversion of household kitchen waste via integrated hydrothermal carbonization and supercritical water gasification," Energy, Elsevier, vol. 242(C).
    10. Taina Lühmann & Benjamin Wirth, 2020. "Sewage Sludge Valorization via Hydrothermal Carbonization: Optimizing Dewaterability and Phosphorus Release," Energies, MDPI, vol. 13(17), pages 1-16, August.
    11. Djandja, Oraléou Sangué & Duan, Pei-Gao & Yin, Lin-Xin & Wang, Zhi-Cong & Duo, Jia, 2021. "A novel machine learning-based approach for prediction of nitrogen content in hydrochar from hydrothermal carbonization of sewage sludge," Energy, Elsevier, vol. 232(C).
    12. Czerwińska, Klaudia & Śliz, Maciej & Wilk, Małgorzata, 2022. "Hydrothermal carbonization process: Fundamentals, main parameter characteristics and possible applications including an effective method of SARS-CoV-2 mitigation in sewage sludge. A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 154(C).
    13. Pecchi, Matteo & Patuzzi, Francesco & Benedetti, Vittoria & Di Maggio, Rosa & Baratieri, Marco, 2020. "Kinetic analysis of hydrothermal carbonization using high-pressure differential scanning calorimetry applied to biomass," Applied Energy, Elsevier, vol. 265(C).
    14. Wilk, Małgorzata & Śliz, Maciej & Czerwińska, Klaudia & Gajek, Marcin & Kalemba-Rec, Izabela, 2024. "Improvements in dewaterability and fuel properties of hydrochars derived from hydrothermal co-carbonization of sewage sludge and organic waste," Renewable Energy, Elsevier, vol. 227(C).
    15. Djandja, Oraléou Sangué & Salami, Adekunlé Akim & Wang, Zhi-Cong & Duo, Jia & Yin, Lin-Xin & Duan, Pei-Gao, 2022. "Random forest-based modeling for insights on phosphorus content in hydrochar produced from hydrothermal carbonization of sewage sludge," Energy, Elsevier, vol. 245(C).
    16. Daniel Reißmann & Daniela Thrän & Dennis Blöhse & Alberto Bezama, 2021. "Hydrothermal carbonization for sludge disposal in Germany: A comparative assessment for industrial‐scale scenarios in 2030," Journal of Industrial Ecology, Yale University, vol. 25(3), pages 720-734, June.
    17. Liu, Tonggui & Jiao, HuiTing & Yang, Longsheng & Zhang, Weijin & Hu, Yingbing & Guo, Yonghao & Yang, Lihong & Leng, Songqi & Chen, Jiefeng & Chen, Jie & Peng, Haoyi & Leng, Lijian & Zhou, Wenguang, 2022. "Co-hydrothermal carbonization of cellulose, hemicellulose, and protein with aqueous phase recirculation: Insight into the reaction mechanisms on hydrochar formation," Energy, Elsevier, vol. 251(C).
    18. Kossińska, Nina & Grosser, Anna & Kwapińska, Marzena & Kwapiński, Witold & Ghazal, Heba & Jouhara, Hussam & Krzyżyńska, Renata, 2024. "Co-hydrothermal carbonization as a potential method of utilising digested sludge and screenings from wastewater treatment plants towards energy application," Energy, Elsevier, vol. 299(C).
    19. Teimouri, Zahra & Abatzoglou, Nicolas & Dalai, Ajay K., 2024. "A novel machine learning framework for designing high-performance catalysts for production of clean liquid fuels through Fischer-Tropsch synthesis," Energy, Elsevier, vol. 289(C).
    20. Vlachokostas, Ch. & Michailidou, A.V. & Achillas, Ch., 2021. "Multi-Criteria Decision Analysis towards promoting Waste-to-Energy Management Strategies: A critical review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 138(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:14:y:2021:i:11:p:3000-:d:559866. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.