IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v14y2021i18p5916-d637944.html
   My bibliography  Save this article

A Review of Enhancement of Biohydrogen Productions by Chemical Addition Using a Supervised Machine Learning Method

Author

Listed:
  • Yiyang Liu

    (Key Laboratory of Carbonaceous Wastes Processing and Process Intensification of Zhejiang Province, University of Nottingham Ningbo, Ningbo 315100, China
    Authors have equal contributions.)

  • Jinze Liu

    (Key Laboratory of Carbonaceous Wastes Processing and Process Intensification of Zhejiang Province, University of Nottingham Ningbo, Ningbo 315100, China
    Authors have equal contributions.)

  • Hongzhen He

    (Key Laboratory of Carbonaceous Wastes Processing and Process Intensification of Zhejiang Province, University of Nottingham Ningbo, Ningbo 315100, China)

  • Shanru Yang

    (Centre for English Language Education (CELE), University of Nottingham Ningbo, Ningbo 315100, China)

  • Yixiao Wang

    (Key Laboratory of Carbonaceous Wastes Processing and Process Intensification of Zhejiang Province, University of Nottingham Ningbo, Ningbo 315100, China)

  • Jin Hu

    (Key Laboratory of Carbonaceous Wastes Processing and Process Intensification of Zhejiang Province, University of Nottingham Ningbo, Ningbo 315100, China)

  • Huan Jin

    (School of Computer Science, University of Nottingham Ningbo, Ningbo 315100, China)

  • Tianxiang Cui

    (School of Computer Science, University of Nottingham Ningbo, Ningbo 315100, China)

  • Gang Yang

    (Institute of Process Engineering, Chinese Academy of Sciences, Beijing 100864, China)

  • Yong Sun

    (Key Laboratory of Carbonaceous Wastes Processing and Process Intensification of Zhejiang Province, University of Nottingham Ningbo, Ningbo 315100, China
    School of Engineering, Edith Cowan University, 70 Joondalup Drive, Perth, WA 6027, Australia)

Abstract

In this work, the impact of chemical additions, especially nano-particles (NPs), was quantitatively analyzed using our constructed artificial neural networks (ANNs)-response surface methodology (RSM) algorithm. Fe-based and Ni-based NPs and ions, including Mg 2+ , Cu 2+ , Na + , NH 4 + , and K + , behave differently towards the response of hydrogen yield (HY) and hydrogen evolution rate (HER). Manipulating the size and concentration of NPs was found to be effective in enhancing the HY for Fe-based NPs and ions, but not for Ni-based NPs and ions. An optimal range of particle size (86–120 nm) and Ni-ion/NP concentration (81–120 mg L −1 ) existed for HER. Meanwhile, the manipulation of the size and concentration of NPs was found to be ineffective for both iron and nickel for the improvement of HER. In fact, the variation in size of NPs for the enhancement of HY and HER demonstrated an appreciable difference. The smaller (less than 42 nm) NPs were found to definitely improve the HY, whereas for the HER, the relatively bigger size of NPs (40–50 nm) seemed to significantly increase the H 2 evolution rate. It was also found that the variations in the concentration of the investigated ions only statistically influenced the HER, not the HY. The level of response (the enhanced HER) towards inputs was underpinned and the order of significance towards HER was identified as the following: Na + > Mg 2+ > Cu 2+ > NH 4 + > K + .

Suggested Citation

  • Yiyang Liu & Jinze Liu & Hongzhen He & Shanru Yang & Yixiao Wang & Jin Hu & Huan Jin & Tianxiang Cui & Gang Yang & Yong Sun, 2021. "A Review of Enhancement of Biohydrogen Productions by Chemical Addition Using a Supervised Machine Learning Method," Energies, MDPI, vol. 14(18), pages 1-16, September.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:18:p:5916-:d:637944
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/14/18/5916/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/14/18/5916/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Gunther Glenk & Stefan Reichelstein, 2019. "Publisher Correction: Economics of converting renewable power to hydrogen," Nature Energy, Nature, vol. 4(4), pages 347-347, April.
    2. Jonathan Woodward & Mark Orr & Kimberley Cordray & Elias Greenbaum, 2000. "Enzymatic production of biohydrogen," Nature, Nature, vol. 405(6790), pages 1014-1015, June.
    3. Tan, Minghui & Ma, Liang & Rehman, Muhamamd Saif Ur & Ahmed, Muhammad Ajaz & Sajid, Muhammad & Xu, Xia & Sun, Yong & Cui, Ping & Xu, Jian, 2019. "Screening of acidic and alkaline pretreatments for walnut shell and corn stover biorefining using two way heterogeneity evaluation," Renewable Energy, Elsevier, vol. 132(C), pages 950-958.
    4. Gunther Glenk & Stefan Reichelstein, 2019. "Economics of converting renewable power to hydrogen," Nature Energy, Nature, vol. 4(3), pages 216-222, March.
    5. Palomo-Briones, Rodolfo & Razo-Flores, Elías & Bernet, Nicolas & Trably, Eric, 2017. "Dark-fermentative biohydrogen pathways and microbial networks in continuous stirred tank reactors: Novel insights on their control," Applied Energy, Elsevier, vol. 198(C), pages 77-87.
    6. Kucharska, Karolina & Hołowacz, Iwona & Konopacka-Łyskawa, Donata & Rybarczyk, Piotr & Kamiński, Marian, 2018. "Key issues in modeling and optimization of lignocellulosic biomass fermentative conversion to gaseous biofuels," Renewable Energy, Elsevier, vol. 129(PA), pages 384-408.
    Full references (including those not matched with items on IDEAS)

    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. Tao Zhang & Qitong Ye & Zengyu Han & Qingyi Liu & Yipu Liu & Dongshuang Wu & Hong Jin Fan, 2024. "Biaxial strain induced OH engineer for accelerating alkaline hydrogen evolution," Nature Communications, Nature, vol. 15(1), pages 1-11, December.
    2. Jong-Hyun Kim & Yong-Gil Lee, 2021. "Factors of Collaboration Affecting the Performance of Alternative Energy Patents in South Korea from 2010 to 2017," Sustainability, MDPI, vol. 13(18), pages 1-25, September.
    3. Yong Zuo & Sebastiano Bellani & Michele Ferri & Gabriele Saleh & Dipak V. Shinde & Marilena Isabella Zappia & Rosaria Brescia & Mirko Prato & Luca Trizio & Ivan Infante & Francesco Bonaccorso & Libera, 2023. "High-performance alkaline water electrolyzers based on Ru-perturbed Cu nanoplatelets cathode," Nature Communications, Nature, vol. 14(1), pages 1-15, December.
    4. Vassilis M. Charitopoulos & Mathilde Fajardy & Chi Kong Chyong & David M. Reiner, 2022. "The case of 100% electrification of domestic heat in Great Britain," Working Papers EPRG2206, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.
    5. Tubagus Aryandi Gunawan & Alessandro Singlitico & Paul Blount & James Burchill & James G. Carton & Rory F. D. Monaghan, 2020. "At What Cost Can Renewable Hydrogen Offset Fossil Fuel Use in Ireland’s Gas Network?," Energies, MDPI, vol. 13(7), pages 1-23, April.
    6. Matthias Maldet & Daniel Schwabeneder & Georg Lettner & Christoph Loschan & Carlo Corinaldesi & Hans Auer, 2022. "Beyond Traditional Energy Sector Coupling: Conserving and Efficient Use of Local Resources," Sustainability, MDPI, vol. 14(12), pages 1-36, June.
    7. Heming Liu & Ruikuan Xie & Yuting Luo & Zhicheng Cui & Qiangmin Yu & Zhiqiang Gao & Zhiyuan Zhang & Fengning Yang & Xin Kang & Shiyu Ge & Shaohai Li & Xuefeng Gao & Guoliang Chai & Le Liu & Bilu Liu, 2022. "Dual interfacial engineering of a Chevrel phase electrode material for stable hydrogen evolution at 2500 mA cm−2," Nature Communications, Nature, vol. 13(1), pages 1-10, December.
    8. Abadie, Luis Mª & Chamorro, José M., 2023. "Investment in wind-based hydrogen production under economic and physical uncertainties," Applied Energy, Elsevier, vol. 337(C).
    9. Haugen, Molly J. & Paoli, Leonardo & Cullen, Jonathan & Cebon, David & Boies, Adam M., 2021. "A fork in the road: Which energy pathway offers the greatest energy efficiency and CO2 reduction potential for low-carbon vehicles?," Applied Energy, Elsevier, vol. 283(C).
    10. Jafri, Yawer & Wetterlund, Elisabeth & Mesfun, Sennai & Rådberg, Henrik & Mossberg, Johanna & Hulteberg, Christian & Furusjö, Erik, 2020. "Combining expansion in pulp capacity with production of sustainable biofuels – Techno-economic and greenhouse gas emissions assessment of drop-in fuels from black liquor part-streams," Applied Energy, Elsevier, vol. 279(C).
    11. Stöckl, Fabian & Schill, Wolf-Peter & Zerrahn, Alexander, 2021. "Optimal supply chains and power sector benefits of green hydrogen," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 11.
    12. Shaojie Song & Haiyang Lin & Peter Sherman & Xi Yang & Chris P. Nielsen & Xinyu Chen & Michael B. McElroy, 2021. "Production of hydrogen from offshore wind in China and cost-competitive supply to Japan," Nature Communications, Nature, vol. 12(1), pages 1-8, December.
    13. Zhang, Bin & Hu, Weihao & Ghias, Amer M.Y.M. & Xu, Xiao & Chen, Zhe, 2023. "Two-timescale autonomous energy management strategy based on multi-agent deep reinforcement learning approach for residential multicarrier energy system," Applied Energy, Elsevier, vol. 351(C).
    14. Shirizadeh, Behrang & Quirion, Philippe, 2023. "Long-term optimization of the hydrogen-electricity nexus in France: Green, blue, or pink hydrogen?," Energy Policy, Elsevier, vol. 181(C).
    15. Lim, Dongjun & Lee, Boreum & Lee, Hyunjun & Byun, Manhee & Lim, Hankwon, 2022. "Projected cost analysis of hybrid methanol production from tri-reforming of methane integrated with various water electrolysis systems: Technical and economic assessment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 155(C).
    16. Klöckner, Kai & Letmathe, Peter, 2020. "Is the coherence of coal phase-out and electrolytic hydrogen production the golden path to effective decarbonisation?," Applied Energy, Elsevier, vol. 279(C).
    17. Martin Thema & Tobias Weidlich & Manuel Hörl & Annett Bellack & Friedemann Mörs & Florian Hackl & Matthias Kohlmayer & Jasmin Gleich & Carsten Stabenau & Thomas Trabold & Michael Neubert & Felix Ortlo, 2019. "Biological CO 2 -Methanation: An Approach to Standardization," Energies, MDPI, vol. 12(9), pages 1-32, May.
    18. Gong, Mei & Ottermo, Fredric, 2022. "High-temperature thermal storage in combined heat and power plants," Energy, Elsevier, vol. 252(C).
    19. Ringkjøb, Hans-Kristian & Haugan, Peter M. & Nybø, Astrid, 2020. "Transitioning remote Arctic settlements to renewable energy systems – A modelling study of Longyearbyen, Svalbard," Applied Energy, Elsevier, vol. 258(C).
    20. Chauvy, Remi & Dubois, Lionel & Lybaert, Paul & Thomas, Diane & De Weireld, Guy, 2020. "Production of synthetic natural gas from industrial carbon dioxide," Applied Energy, Elsevier, vol. 260(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:18:p:5916-:d:637944. 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.