IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v159y2020icp756-766.html
   My bibliography  Save this article

A multi-level biogas model to optimise the energy balance of full-scale sewage sludge conventional and THP anaerobic digestion

Author

Listed:
  • Liu, Jin
  • Smith, Stephen R.

Abstract

Anaerobic digestion (AD) is a long-established method for treating wastewater sludge and has been extensively researched, but there remains a lack of generic or practical modelling tools to guide operators and maximise the energy output. Detailed kinetic models have been developed, but are too complex as practical tools for industrial level application. A multi-level model of biogas yield (BY) was therefore developed based on operational data from 72 full-scale sites in the UK showing a wide range of AD performance. The model focused on the controllable operational parameters that are currently monitored at full-scale, including: temperature, hydraulic retention time and dry solids content in the feed sludge. The model effectively described performance variations in BY of full-scale processes, and provides a practical management tool to aid decision support to improve AD efficiency and net energy balance.

Suggested Citation

  • Liu, Jin & Smith, Stephen R., 2020. "A multi-level biogas model to optimise the energy balance of full-scale sewage sludge conventional and THP anaerobic digestion," Renewable Energy, Elsevier, vol. 159(C), pages 756-766.
    • Handle: RePEc:eee:renene:v:159:y:2020:i:c:p:756-766
    DOI: 10.1016/j.renene.2020.06.029
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S096014812030923X
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.renene.2020.06.029?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Nixon, J.D., 2016. "Designing and optimising anaerobic digestion systems: A multi-objective non-linear goal programming approach," Energy, Elsevier, vol. 114(C), pages 814-822.
    2. Ciobanu Dumitru & Vasilescu Maria, 2013. "Advantages and Disadvantages of Using Neural Networks for Predictions," Ovidius University Annals, Economic Sciences Series, Ovidius University of Constantza, Faculty of Economic Sciences, vol. 0(1), pages 444-449, May.
    3. Kythreotou, Nicoletta & Florides, Georgios & Tassou, Savvas A., 2014. "A review of simple to scientific models for anaerobic digestion," Renewable Energy, Elsevier, vol. 71(C), pages 701-714.
    4. Li, Wanwu & Khalid, Habiba & Zhu, Zhe & Zhang, Ruihong & Liu, Guangqing & Chen, Chang & Thorin, Eva, 2018. "Methane production through anaerobic digestion: Participation and digestion characteristics of cellulose, hemicellulose and lignin," Applied Energy, Elsevier, vol. 226(C), pages 1219-1228.
    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. Misrol, Mohd Arif & Wan Alwi, Sharifah Rafidah & Lim, Jeng Shiun & Abd Manan, Zainuddin, 2021. "Optimization of energy-water-waste nexus at district level: A techno-economic approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 152(C).
    2. Soufia Mohammadi & Pilar Monsalvete Álvarez de Uribarri & Ursula Eicker, 2021. "Decentral Energy Generation Potential of Anaerobic Digestion of Black Water and Kitchen Refuse for Eco-District Planning," Energies, MDPI, vol. 14(10), pages 1-14, May.
    3. Campo, Giuseppe & Cerutti, Alberto & Zanetti, Mariachiara & De Ceglia, Margherita & Scibilia, Gerardo & Ruffino, Barbara, 2023. "A modelling approach for the assessment of energy recovery and impact on the water line of sludge pre-treatments," Energy, Elsevier, vol. 274(C).

    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. Sun, Hui & Wang, Enzhen & Li, Xiang & Cui, Xian & Guo, Jianbin & Dong, Renjie, 2021. "Potential biomethane production from crop residues in China: Contributions to carbon neutrality," Renewable and Sustainable Energy Reviews, Elsevier, vol. 148(C).
    2. Zarei, Sasan & Mousavi, Seyyed Mohammad & Amani, Teimour & Khamforoush, Mehrdad & Jafari, Arezou, 2021. "Three-dimensional CFD simulation of anaerobic reactions in a continuous packed-bed bioreactor," Renewable Energy, Elsevier, vol. 169(C), pages 461-472.
    3. Kovalovszki, Adam & Treu, Laura & Ellegaard, Lars & Luo, Gang & Angelidaki, Irini, 2020. "Modeling temperature response in bioenergy production: Novel solution to a common challenge of anaerobic digestion," Applied Energy, Elsevier, vol. 263(C).
    4. Zabed, Hossain M. & Akter, Suely & Yun, Junhua & Zhang, Guoyan & Zhang, Yufei & Qi, Xianghui, 2020. "Biogas from microalgae: Technologies, challenges and opportunities," Renewable and Sustainable Energy Reviews, Elsevier, vol. 117(C).
    5. Shaghayegh Rahnama & Adriana Cortez & Andres Monzon, 2024. "Navigating Passenger Satisfaction: A Structural Equation Modeling–Artificial Neural Network Approach to Intercity Bus Services," Sustainability, MDPI, vol. 16(11), pages 1-33, May.
    6. Dev, Subhabrata & Saha, Shouvik & Kurade, Mayur B. & Salama, El-Sayed & El-Dalatony, Marwa M. & Ha, Geon-Soo & Chang, Soon Woong & Jeon, Byong-Hun, 2019. "Perspective on anaerobic digestion for biomethanation in cold environments," Renewable and Sustainable Energy Reviews, Elsevier, vol. 103(C), pages 85-95.
    7. Jiachuang Wang & Haoji Ma & Xianhang Yan, 2023. "Rockburst Intensity Classification Prediction Based on Multi-Model Ensemble Learning Algorithms," Mathematics, MDPI, vol. 11(4), pages 1-29, February.
    8. Zamri, M.F.M.A. & Hasmady, Saiful & Akhiar, Afifi & Ideris, Fazril & Shamsuddin, A.H. & Mofijur, M. & Fattah, I. M. Rizwanul & Mahlia, T.M.I., 2021. "A comprehensive review on anaerobic digestion of organic fraction of municipal solid waste," Renewable and Sustainable Energy Reviews, Elsevier, vol. 137(C).
    9. Yee-Fan Tan & Lee-Yeng Ong & Meng-Chew Leow & Yee-Xian Goh, 2021. "Exploring Time-Series Forecasting Models for Dynamic Pricing in Digital Signage Advertising," Future Internet, MDPI, vol. 13(10), pages 1-24, September.
    10. Shamurad, Burhan & Sallis, Paul & Petropoulos, Evangelos & Tabraiz, Shamas & Ospina, Carolina & Leary, Peter & Dolfing, Jan & Gray, Neil, 2020. "Stable biogas production from single-stage anaerobic digestion of food waste," Applied Energy, Elsevier, vol. 263(C).
    11. Zhao, Bo & Zheng, Pengfei & Yang, Yuyi & Sha, Hao & Cao, Shengxian & Wang, Gong & Zhang, Yanhui, 2022. "Enhanced anaerobic digestion under medium temperature conditions: Augmentation effect of magnetic field and composites formed by titanium dioxide on the foamed nickel," Energy, Elsevier, vol. 257(C).
    12. Emebu, Samuel & Pecha, Jiří & Janáčová, Dagmar, 2022. "Review on anaerobic digestion models: Model classification & elaboration of process phenomena," Renewable and Sustainable Energy Reviews, Elsevier, vol. 160(C).
    13. Ravita D. Prasad, 2024. "School Electricity Consumption in a Small Island Country: The Case of Fiji," Energies, MDPI, vol. 17(7), pages 1-25, April.
    14. Tess Herman & Emily Nungesser & Kimberley E. Miller & Sarah C. Davis, 2022. "Comparative Fuel Yield from Anaerobic Digestion of Emerging Waste in Food and Brewery Systems," Energies, MDPI, vol. 15(4), pages 1-13, February.
    15. Chettaphong Phuttaro & Alissara Reungsang & Piyarat Boonsawang & Sumate Chaiprapat, 2019. "Integrative Effects of Sonication and Particle Size on Biomethanation of Tropical Grass Pennisetum purpureum Using Superior Diverse Inocula Cultures," Energies, MDPI, vol. 12(22), pages 1-16, November.
    16. Robert Czubaszek & Agnieszka Wysocka-Czubaszek & Wendelin Wichtmann & Piotr Banaszuk, 2021. "Specific Methane Yield of Wetland Biomass in Dry and Wet Fermentation Technologies," Energies, MDPI, vol. 14(24), pages 1-20, December.
    17. Ma, Shuaishuai & Wang, Hongliang & Li, Jingxue & Fu, Yu & Zhu, Wanbin, 2019. "Methane production performances of different compositions in lignocellulosic biomass through anaerobic digestion," Energy, Elsevier, vol. 189(C).
    18. René Heller & Christina Brandhorst & Benedikt Hülsemann & Andreas Lemmer & Hans Oechsner, 2023. "Comparison of Different Mechanical Pretreatment Methods for the Anaerobic Digestion of Landscape Management Grass," Energies, MDPI, vol. 16(24), pages 1-26, December.
    19. Ma, Shuaishuai & Wang, Hongliang & Li, Longrui & Gu, Xiaohui & Zhu, Wanbin, 2021. "Enhanced biomethane production from corn straw by a novel anaerobic digestion strategy with mechanochemical pretreatment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 146(C).
    20. Oliva, A. & Tan, L.C. & Papirio, S. & Esposito, G. & Lens, P.N.L., 2021. "Effect of methanol-organosolv pretreatment on anaerobic digestion of lignocellulosic materials," Renewable Energy, Elsevier, vol. 169(C), pages 1000-1012.

    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:eee:renene:v:159:y:2020:i:c:p:756-766. 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/renewable-energy .

    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.