IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v304y2021ics0306261921010667.html
   My bibliography  Save this article

Co-digestion of water hyacinth, municipal solid waste and cow dung: A methane optimised biogas–liquid petroleum gas hybrid system

Author

Listed:
  • Kunatsa, Tawanda
  • Xia, Xiaohua

Abstract

Fossil fuels are still the major source of energy in developing countries, howbeit expensive and environmentally unsustainable. Co-digestion substrate proportions and the respective biogas potentials for a huge number of biomaterials for anaerobic digestion are yet to be ascertained let alone optimised. This paper presents a novel methane-optimised biogas–liquid petroleum gas hybrid system concept. Herein this research, biogas is produced from the anaerobic co-digestion of water hyacinth, municipal solid waste and cow dung. A model that incorporated seasonal variations of biomass feedstocks was developed; an optimisation problem was formulated and solved using the Optimisation Interface tool (OptiTool) in combination with the Solving Constraint Integer Programs (SCIP) toolbox in Matrix Laboratory (MATLAB). The biogas production reactions are optimised in such a way that the methane component of the biogas is maximised, and the other components minimised by the integration of a model which necessitates the feed in of optimal substrate masses as per the ratios ascertained for the substrates considered thereby yielding a high quality combustible biogas product. The methane-optimised biogas is channelled towards some community gas demand and liquid petroleum gas comes in to fill the discrepancy between the methane-optimised biogas and the gas demand. Consideration of seasonality changes in the availability of substrates in the modelling and optimisation led to an increase of 174.58% in annual biogas output. A 6.97% annual lowest cost savings was realised in winter and 18.24% annual highest cost savings was realised in summer from the methane-optimised biogas–liquid petroleum gas hybrid system.

Suggested Citation

  • Kunatsa, Tawanda & Xia, Xiaohua, 2021. "Co-digestion of water hyacinth, municipal solid waste and cow dung: A methane optimised biogas–liquid petroleum gas hybrid system," Applied Energy, Elsevier, vol. 304(C).
    • Handle: RePEc:eee:appene:v:304:y:2021:i:c:s0306261921010667
    DOI: 10.1016/j.apenergy.2021.117716
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261921010667
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.apenergy.2021.117716?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. Catherine Wolfram & Orie Shelef & Paul Gertler, 2012. "How Will Energy Demand Develop in the Developing World?," Journal of Economic Perspectives, American Economic Association, vol. 26(1), pages 119-138, Winter.
    2. Andre Faaij, 2006. "Modern Biomass Conversion Technologies," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 11(2), pages 335-367, March.
    3. Lovrak, Ana & Pukšec, Tomislav & Duić, Neven, 2020. "A Geographical Information System (GIS) based approach for assessing the spatial distribution and seasonal variation of biogas production potential from agricultural residues and municipal biowaste," Applied Energy, Elsevier, vol. 267(C).
    4. H. Damon Matthews & Nathan P. Gillett & Peter A. Stott & Kirsten Zickfeld, 2009. "The proportionality of global warming to cumulative carbon emissions," Nature, Nature, vol. 459(7248), pages 829-832, June.
    5. Abu Qdais, H. & Bani Hani, K. & Shatnawi, N., 2010. "Modeling and optimization of biogas production from a waste digester using artificial neural network and genetic algorithm," Resources, Conservation & Recycling, Elsevier, vol. 54(6), pages 359-363.
    6. Wanjiru, Evan M. & Sichilalu, Sam M. & Xia, Xiaohua, 2017. "Model predictive control of heat pump water heater-instantaneous shower powered with integrated renewable-grid energy systems," Applied Energy, Elsevier, vol. 204(C), pages 1333-1346.
    7. Divya, D. & Gopinath, L.R. & Merlin Christy, P., 2015. "A review on current aspects and diverse prospects for enhancing biogas production in sustainable means," Renewable and Sustainable Energy Reviews, Elsevier, vol. 42(C), pages 690-699.
    8. Wanjiru, Evan M. & Sichilalu, Sam M. & Xia, Xiaohua, 2017. "Optimal control of heat pump water heater-instantaneous shower using integrated renewable-grid energy systems," Applied Energy, Elsevier, vol. 201(C), pages 332-342.
    9. Yilmaz, S. & Chambers, J. & Patel, M.K., 2019. "Comparison of clustering approaches for domestic electricity load profile characterisation - Implications for demand side management," Energy, Elsevier, vol. 180(C), pages 665-677.
    10. Hagos, Kiros & Zong, Jianpeng & Li, Dongxue & Liu, Chang & Lu, Xiaohua, 2017. "Anaerobic co-digestion process for biogas production: Progress, challenges and perspectives," Renewable and Sustainable Energy Reviews, Elsevier, vol. 76(C), pages 1485-1496.
    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. Roopnarain, Ashira & Rama, Haripriya & Ndaba, Busiswa & Bello-Akinosho, Maryam & Bamuza-Pemu, Emomotimi & Adeleke, Rasheed, 2021. "Unravelling the anaerobic digestion ‘black box’: Biotechnological approaches for process optimization," Renewable and Sustainable Energy Reviews, Elsevier, vol. 152(C).
    2. Xiang Gou & Shian Liu & Yang Fu & Qiyan Zhang & Saima Iram & Yingfan Liu, 2018. "Experimental Study on the Performance of a Household Dual-Source Heat Pump Water Heater," Energies, MDPI, vol. 11(10), pages 1-18, October.
    3. Thomas, Dimitrios & Deblecker, Olivier & Ioakimidis, Christos S., 2018. "Optimal operation of an energy management system for a grid-connected smart building considering photovoltaics’ uncertainty and stochastic electric vehicles’ driving schedule," Applied Energy, Elsevier, vol. 210(C), pages 1188-1206.
    4. Wei, Shangshang & Gao, Xianhua & Zhang, Yi & Li, Yiguo & Shen, Jiong & Li, Zuyi, 2021. "An improved stochastic model predictive control operation strategy of integrated energy system based on a single-layer multi-timescale framework," Energy, Elsevier, vol. 235(C).
    5. Cheng, F. & Brewer, C.E., 2021. "Conversion of protein-rich lignocellulosic wastes to bio-energy: Review and recommendations for hydrolysis + fermentation and anaerobic digestion," Renewable and Sustainable Energy Reviews, Elsevier, vol. 146(C).
    6. A Aziz, Md Maniruzzaman & Kassim, Khairul Anuar & ElSergany, Moetaz & Anuar, Syed & Jorat, M. Ehsan & Yaacob, H. & Ahsan, Amimul & Imteaz, Monzur A. & Arifuzzaman,, 2020. "Recent advances on palm oil mill effluent (POME) pretreatment and anaerobic reactor for sustainable biogas production," Renewable and Sustainable Energy Reviews, Elsevier, vol. 119(C).
    7. Zhan, Sicheng & Chong, Adrian, 2021. "Data requirements and performance evaluation of model predictive control in buildings: A modeling perspective," Renewable and Sustainable Energy Reviews, Elsevier, vol. 142(C).
    8. Anahita Rabii & Saad Aldin & Yaser Dahman & Elsayed Elbeshbishy, 2019. "A Review on Anaerobic Co-Digestion with a Focus on the Microbial Populations and the Effect of Multi-Stage Digester Configuration," Energies, MDPI, vol. 12(6), pages 1-25, March.
    9. Cristian Sánchez & Lionel Bloch & Jordan Holweger & Christophe Ballif & Nicolas Wyrsch, 2019. "Optimised Heat Pump Management for Increasing Photovoltaic Penetration into the Electricity Grid," Energies, MDPI, vol. 12(8), pages 1-22, April.
    10. Vering, Christian & Maier, Laura & Breuer, Katharina & Krützfeldt, Hannah & Streblow, Rita & Müller, Dirk, 2022. "Evaluating heat pump system design methods towards a sustainable heat supply in residential buildings," Applied Energy, Elsevier, vol. 308(C).
    11. Abdeshahian, Peyman & Lim, Jeng Shiun & Ho, Wai Shin & Hashim, Haslenda & Lee, Chew Tin, 2016. "Potential of biogas production from farm animal waste in Malaysia," Renewable and Sustainable Energy Reviews, Elsevier, vol. 60(C), pages 714-723.
    12. Simon Levin & Anastasios Xepapadeas, 2021. "On the Coevolution of Economic and Ecological Systems," Annual Review of Resource Economics, Annual Reviews, vol. 13(1), pages 355-377, October.
    13. Löschel, Andreas & Pothen, Frank & Schymura, Michael, 2015. "Peeling the onion: Analyzing aggregate, national and sectoral energy intensity in the European Union," Energy Economics, Elsevier, vol. 52(S1), pages 63-75.
    14. Lamperti, Francesco & Bosetti, Valentina & Roventini, Andrea & Tavoni, Massimo & Treibich, Tania, 2021. "Three green financial policies to address climate risks," Journal of Financial Stability, Elsevier, vol. 54(C).
    15. Melissa Dell & Benjamin F. Jones & Benjamin A. Olken, 2014. "What Do We Learn from the Weather? The New Climate-Economy Literature," Journal of Economic Literature, American Economic Association, vol. 52(3), pages 740-798, September.
    16. Dietz, Simon & Gollier, Christian & Kessler, Louise, 2018. "The climate beta," Journal of Environmental Economics and Management, Elsevier, vol. 87(C), pages 258-274.
    17. Lucas W. Davis, Shaun Mcrae, and Enrique Seira Bejarano, 2019. "An Economic Perspective on Mexico's Nascent Deregulation of Retail Petroleum Markets," Economics of Energy & Environmental Policy, International Association for Energy Economics, vol. 0(Number 2).
    18. Malerba, Daniele, 2020. "Poverty alleviation and local environmental degradation: An empirical analysis in Colombia," World Development, Elsevier, vol. 127(C).
    19. de Castro, Thiago Morais & Arantes, Eudes José & de Mendonça Costa, Mônica Sarolli Silva & Gotardo, Jackeline Tatiane & Passig, Fernando Hermes & de Carvalho, Karina Querne & Gomes, Simone Damasceno, 2021. "Anaerobic co-digestion of industrial waste landfill leachate and glycerin in a continuous anaerobic bioreactor with a fixed-structured bed (ABFSB): Effects of volumetric organic loading rate and alkal," Renewable Energy, Elsevier, vol. 164(C), pages 1436-1446.
    20. Hijazi, O. & Abdelsalam, E. & Samer, M. & Attia, Y.A. & Amer, B.M.A. & Amer, M.A. & Badr, M. & Bernhardt, H., 2020. "Life cycle assessment of the use of nanomaterials in biogas production from anaerobic digestion of manure," Renewable Energy, Elsevier, vol. 148(C), pages 417-424.

    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:appene:v:304:y:2021:i:c:s0306261921010667. 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.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description .

    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.