IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v13y2020i21p5624-d435674.html
   My bibliography  Save this article

Carbon Monoxide Formation during Aerobic Biostabilization of the Organic Fraction of Municipal Solid Waste: The Influence of Technical Parameters in a Full-Scale Treatment System

Author

Listed:
  • Sylwia Stegenta-Dąbrowska

    (Institute of Agricultural Engineering, Faculty of Life Sciences and Technology, Wrocław University of Environmental and Life Sciences, 37a Chełmońskiego Str., 51-630 Wrocław, Poland)

  • Peter F. Randerson

    (School of Biosciences, Sir Martin Evans Building, Cardiff University, Museum Avenue, Cardiff CF10 3AX, UK)

  • Sarah R. Christofides

    (School of Biosciences, Sir Martin Evans Building, Cardiff University, Museum Avenue, Cardiff CF10 3AX, UK)

  • Andrzej Białowiec

    (Institute of Agricultural Engineering, Faculty of Life Sciences and Technology, Wrocław University of Environmental and Life Sciences, 37a Chełmońskiego Str., 51-630 Wrocław, Poland)

Abstract

The present study sought to investigate the formation of carbon monoxide (CO) during aerobic biostabilization (AB) of the organic fraction of municipal solid waste (OFMSW) in forced aerated piles. Understanding the factors influencing CO formation may be important not only for safety, but also for environmental and technical reasons. The objective of the study was to determine the effect of the technical parameters of the piles on the concentration of CO in the process gas during AB of the OFMSW in a full-scale waste treatment system: rate of waste aeration (from 3365 to 12,744 m 3 ∙Mg −1 ), waste mass loads in the pile (from 391 to 702 Mg), thermal conditions, application of sidewalls as an element of pile bioreactor construction, concentration of O 2 and CO 2 in the waste piles and the duration of the process from 6 to 9 weeks. The temperature and concentration of O 2 , CO 2 , CO, CH 4 were measured in each pile at weekly intervals. All six reactors provide stable thermal and aerobic conditions, but the presence of CO was observed, ranging from a few to over 2000 ppm, which demonstrated that ensuring optimum conditions for the process is not sufficient for CO to be eliminated. A moderate, non-linear rise in CO concentration was observed along with a rise in the temperature inside the reactors. Concentrations of CO were not highly correlated with those of O 2 or CO 2 . An increase in waste mass loads increased the CO concentration in waste piles, while application of sidewalls decreased CO concentration. Increasing aeration rate had an influence on CO production, and the highest CO concentrations were noted under air flow rate 5.3 m 3 ·Mg −1 ·h −1 .

Suggested Citation

  • Sylwia Stegenta-Dąbrowska & Peter F. Randerson & Sarah R. Christofides & Andrzej Białowiec, 2020. "Carbon Monoxide Formation during Aerobic Biostabilization of the Organic Fraction of Municipal Solid Waste: The Influence of Technical Parameters in a Full-Scale Treatment System," Energies, MDPI, vol. 13(21), pages 1-21, October.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:21:p:5624-:d:435674
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/13/21/5624/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/13/21/5624/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Simon N. Wood, 2011. "Fast stable restricted maximum likelihood and marginal likelihood estimation of semiparametric generalized linear models," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 73(1), pages 3-36, January.
    2. Sylwia Stegenta & Karolina Sobieraj & Grzegorz Pilarski & Jacek A. Koziel & Andrzej Białowiec, 2019. "Analysis of the Spatial and Temporal Distribution of Process Gases within Municipal Biowaste Compost," Sustainability, MDPI, vol. 11(8), pages 1-23, April.
    3. NEUWAHL Frederik & CUSANO Gianluca & GÓMEZ BENAVIDES Jorge & HOLBROOK Simon & ROUDIER Serge, 2020. "Best Available Techniques (BAT) Reference Document for Waste Incineration: Industrial Emissions Directive 2010/75/EU (Integrated Pollution Prevention and Control)," JRC Research Reports JRC118637, Joint Research Centre.
    4. LECOMTE Thierry & FERRERIA DE LA FUENTE Jose Felix & NEUWAHL Frederik & CANOVA Michele & PINASSEAU Antoine & JANKOV Ivan & BRINKMANN Thomas & ROUDIER Serge & DELGADO SANCHO Luis, 2017. "Best Available Techniques (BAT) Reference Document for Large Combustion Plants. Industrial Emissions Directive 2010/75/EU (Integrated Pollution Prevention and Control)," JRC Research Reports JRC107769, Joint Research Centre.
    5. Manfredi, Simone & Tonini, Davide & Christensen, Thomas H., 2011. "Environmental assessment of different management options for individual waste fractions by means of life-cycle assessment modelling," Resources, Conservation & Recycling, Elsevier, vol. 55(11), pages 995-1004.
    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. Marco Abis & Martina Bruno & Kerstin Kuchta & Franz-Georg Simon & Raul Grönholm & Michel Hoppe & Silvia Fiore, 2020. "Assessment of the Synergy between Recycling and Thermal Treatments in Municipal Solid Waste Management in Europe," Energies, MDPI, vol. 13(23), pages 1-15, December.
    2. Karolina Sobieraj & Sylwia Stegenta-Dąbrowska & Jacek A. Koziel & Andrzej Białowiec, 2021. "Modeling of CO Accumulation in the Headspace of the Bioreactor during Organic Waste Composting," Energies, MDPI, vol. 14(5), pages 1-17, March.
    3. Panagiotis Grammelis & Nikolaos Margaritis & Petros Dallas & Dimitrios Rakopoulos & Georgios Mavrias, 2021. "A Review on Management of End of Life Tires (ELTs) and Alternative Uses of Textile Fibers," Energies, MDPI, vol. 14(3), pages 1-20, January.
    4. Gerhard Tutz & Moritz Berger, 2018. "Tree-structured modelling of categorical predictors in generalized additive regression," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 12(3), pages 737-758, September.
    5. Tommaso Luzzati & Angela Parenti & Tommaso Rughi, 2017. "Spatial error regressions for testing the Cancer-EKC," Discussion Papers 2017/218, Dipartimento di Economia e Management (DEM), University of Pisa, Pisa, Italy.
    6. Davide Fiaschi & Andrea Mario Lavezzi & Angela Parenti, 2020. "Deep and Proximate Determinants of the World Income Distribution," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 66(3), pages 677-710, September.
    7. Longhi, Christian & Musolesi, Antonio & Baumont, Catherine, 2014. "Modeling structural change in the European metropolitan areas during the process of economic integration," Economic Modelling, Elsevier, vol. 37(C), pages 395-407.
    8. Dillon T. Fogarty & Caleb P. Roberts & Daniel R. Uden & Victoria M. Donovan & Craig R. Allen & David E. Naugle & Matthew O. Jones & Brady W. Allred & Dirac Twidwell, 2020. "Woody Plant Encroachment and the Sustainability of Priority Conservation Areas," Sustainability, MDPI, vol. 12(20), pages 1-15, October.
    9. Daniel Melser & Robert J. Hill, 2019. "Residential Real Estate, Risk, Return and Diversification: Some Empirical Evidence," The Journal of Real Estate Finance and Economics, Springer, vol. 59(1), pages 111-146, July.
    10. Robert J. Hill & Michael Scholz, 2014. "Incorporating Geospatial Data in House Price Indexes: A Hedonic Imputation Approach with Splines," Graz Economics Papers 2014-05, University of Graz, Department of Economics.
    11. Alessandra Cantini & Leonardo Leoni & Filippo De Carlo & Marcello Salvio & Chiara Martini & Fabrizio Martini, 2021. "Technological Energy Efficiency Improvements in Cement Industries," Sustainability, MDPI, vol. 13(7), pages 1-28, March.
    12. Ronald E. Gangnon & Natasha K. Stout & Oguzhan Alagoz & John M. Hampton & Brian L. Sprague & Amy Trentham-Dietz, 2018. "Contribution of Breast Cancer to Overall Mortality for US Women," Medical Decision Making, , vol. 38(1_suppl), pages 24-31, April.
    13. Yuko Araki & Atsushi Kawaguchi & Fumio Yamashita, 2013. "Regularized logistic discrimination with basis expansions for the early detection of Alzheimer’s disease based on three-dimensional MRI data," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 7(1), pages 109-119, March.
    14. Weishampel, Anthony & Staicu, Ana-Maria & Rand, William, 2023. "Classification of social media users with generalized functional data analysis," Computational Statistics & Data Analysis, Elsevier, vol. 179(C).
    15. Megan K. Jennings & Emily Haeuser & Diane Foote & Rebecca L. Lewison & Erin Conlisk, 2020. "Planning for Dynamic Connectivity: Operationalizing Robust Decision-Making and Prioritization Across Landscapes Experiencing Climate and Land-Use Change," Land, MDPI, vol. 9(10), pages 1-18, September.
    16. Robert J. Hill & Alicia N. Rambaldi & Michael Scholz, 2021. "Higher frequency hedonic property price indices: a state-space approach," Empirical Economics, Springer, vol. 61(1), pages 417-441, July.
    17. Adam R. Pines & Bart Larsen & Zaixu Cui & Valerie J. Sydnor & Maxwell A. Bertolero & Azeez Adebimpe & Aaron F. Alexander-Bloch & Christos Davatzikos & Damien A. Fair & Ruben C. Gur & Raquel E. Gur & H, 2022. "Dissociable multi-scale patterns of development in personalized brain networks," Nature Communications, Nature, vol. 13(1), pages 1-15, December.
    18. Marra, Giampiero & Wood, Simon N., 2011. "Practical variable selection for generalized additive models," Computational Statistics & Data Analysis, Elsevier, vol. 55(7), pages 2372-2387, July.
    19. Wenyi Lin & Jingjing Zou & Chongzhi Di & Dorothy D. Sears & Cheryl L. Rock & Loki Natarajan, 2023. "Longitudinal Associations Between Timing of Physical Activity Accumulation and Health: Application of Functional Data Methods," Statistics in Biosciences, Springer;International Chinese Statistical Association, vol. 15(2), pages 309-329, July.
    20. repec:irf:wpaper:010 is not listed on IDEAS
    21. Basile, Roberto & Durbán, María & Mínguez, Román & María Montero, Jose & Mur, Jesús, 2014. "Modeling regional economic dynamics: Spatial dependence, spatial heterogeneity and nonlinearities," Journal of Economic Dynamics and Control, Elsevier, vol. 48(C), pages 229-245.

    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:13:y:2020:i:21:p:5624-:d:435674. 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.