Skip to main content
SpringerLink
Log in

A Fuzzy Model of the Composting Process with Simultaneous Heat Recovery and Aeration Rate Control

  • Conference paper
  • First Online:
Book cover Renewable Energy Sources: Engineering, Technology, Innovation

Part of the book series: Springer Proceedings in Energy ((SPE))

Abstract

Composting is an effective method of managing biomass waste from agricultural crops and food processing. This exothermic reaction produces high-quality humus. Heat generated during composting can be evacuated from the compost pile and used effectively for other purposes. Effective methods are needed to control prism aeration and the evacuation of heat from the compost prism to maximize heat gain without compromising the composting process. A preliminary examination of fuzzy logic systems revealed that the terms of input and output variables and sharpening methods have to be adapted to specific compost materials. This approach also delivers immediate results without the need for lengthy research. The composting process lasts several weeks, therefore, models which illustrate the responses of control systems save time and support the selection of the optimal solutions for changing the aeration rate and heat consumption in feedstock. Fuzzy models of the control system developed in the LabVIEW programs are effective tools which can be directly implemented in a programmable logic controller (PLC).

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 259.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 329.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 329.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Kollikkathara, N., Feng, H., Stern, E.: A purview of waste management evolution: special emphasis on USA. Waste Manage. 29, 974–985 (2009)

    Article  Google Scholar 

  2. Jakubowski, T., Sołowiej, P.: Dynamics of temperature changes in thermophille phase of composting process in the aspect of sanitary condition of obtained material. Agric. Eng. 20(4), 207–217 (2016)

    Google Scholar 

  3. Lashermes, G., Barriuso, E., Le Villio-Poitrenaud, M., Houot, S.: Composting in small laboratory pilots: performance and reproducibility. Waste Manage. 32, 271–277 (2012)

    Article  Google Scholar 

  4. Raj, D., Antil, R.S.: Evaluation of maturity and stability parameters of composts prepared from agro-industrial wastes. Biores. Technol. 102, 2868–2873 (2011)

    Article  Google Scholar 

  5. Pagans, E., Barrena, R., Font, X., Sánchez, A.: Ammonia emissions from the composting of different organic wastes. Dependency on process temperature. Chemosphere 62, 1534–1542 (2006)

    Article  Google Scholar 

  6. Yang, F., Li, G.X., Yang, Q.Y., Luo, W.H.: Effect of bulking agents on maturity and gaseous emissions during kitchen waste composting. Chemosphere 93, 1393–1399 (2013)

    Article  Google Scholar 

  7. Puyuelo, B., Gea, T., Sánchez, A.: A new control strategy for the composting process based on the oxygen uptake rate. Chem. Eng. J. 165, 161–169 (2010)

    Article  Google Scholar 

  8. Kulcu, R., Yaldiz, O.: Determination of aeration rate and kinetics of composting some agricultural wastes. Biores. Technol. 93, 49–57 (2004)

    Article  Google Scholar 

  9. Sołowiej, P., Piechocki, J., Neugebauer, M.: The impact of bed aeration on the progress of first composting process phase. Inżynieria Rolnicza 3(121), 193–198 (2010)

    Google Scholar 

  10. Bari, Q.H., Koenig, A.: Application of a simplified mathematical model to estimate the effect of forced aeration on composting in a closed system. Waste Manage. 32, 2037–2045 (2012)

    Article  Google Scholar 

  11. Neugebauer, M., Sołowiej, P.: Using self-learning algorithms to control composting process for biomass of agricultural origin. Inżynieria Rolnicza 8(117), 147–153 (2009)

    Google Scholar 

  12. Castelli, L. Ferrari, R.: Fuzzy logic control applied to in-vessel composting. In: US Composting Council 2007 Conference, Orlando, Florida. Available at: http://nebula.wsimg.com/6091ca06b369e24d1d6a82361f42fd6f?AccessKeyId=1A23BDC9F081DE6ACE22&disposition=0

  13. Giusti, E., Marsili-Libelli, S.: Fuzzy modelling of the composting process. Environ. Model Softw. 25, 641–647 (2010)

    Article  Google Scholar 

  14. Jiang, X., Qin, X., Xi, B., Huang, G., Liu, H., Liang, Z., Christine, W.C.: Fuzzy approach for dynamic simulation of composting process under uncertainty. Civ. Eng. Res. (2012)

    Google Scholar 

  15. Qin, X., Huang, G., Zeng, G., Chakma, A., Xi, B.: A fuzzy composting process model. J. Air Waste Manag. Assoc. 57(5), 535–550 (2007)

    Article  Google Scholar 

  16. Gerla, G.: Fuzzy logic programming and fuzzy control. Stud. Logic. 79, 231–254 (2005)

    Article  MathSciNet  Google Scholar 

  17. Mamdani, E.: Application of fuzzy logic to approximate reasoning using linguistic systems. Fuzzy Sets Syst. 26, 1182–1191 (1977)

    MATH  Google Scholar 

  18. Guo, T., Liu, G.: Aadaptive fuzzy control for unknown nonlinear time-delay systems with virtual control functions. Int. J. Control Autom. Syst. 9(6), 1227–1234 (2011)

    Article  Google Scholar 

  19. Cиpoтюк, B., Гaльчaк, B., Cиpoтюк, C.: Fuzzy logic кoнтpoллep coлнeчнoй cиcтeмы гopячeгo вoдocнaбжeния. Motrol 16(4), 32–37 (2014)

    Google Scholar 

  20. Cиpoтюк, C., Cиpoтюк, B., Гaльчaк, B.: Fuzzy-logic кoнтpoллep yпpaвлeния peжимaми paбoты вeтpoэлeктpичecкoй ycтaнoвки. Motrol 17(4), 39–46 (2015)

    Google Scholar 

  21. Du, Z., Qu, Z.: Improved adaptive fuzzy control for MIMO nonlinear time-delay systems. J. Control Theory Appl. 9(2), 278–282 (2011)

    Article  MathSciNet  Google Scholar 

  22. Işik, H., Saraçoğlu, E.: The design of thermoelectric footwear heating system via fuzzy logic. J. Med. Syst. 31, 521–527 (2007)

    Article  Google Scholar 

  23. Luo, X., Sun, Z., Sun, F.: A new approach to fuzzy modeling and control for nonlinear dynamic systems: neuro-fuzzy dynamic characteristic modeling and adaptive control mechanism. Int. J. Control Autom. Syst. 7(1), 123–132 (2009)

    Article  Google Scholar 

  24. Niittymäki, J., Turunen, E.: Traffic signal control on similarity logic reasoning. Fuzzy Sets Syst. 133, 109–131 (2003)

    Article  MathSciNet  Google Scholar 

  25. Wang, X., Selvam, A., Chan, M., Wong, J.: Nitrogen conservation and acidity control during food wastes composting through struvite formation. Biores. Technol. 147, 17–22 (2013)

    Article  Google Scholar 

  26. Guo, R., Li, G., Jiang, T., Schuchardt, F., Chen, T., Zhao, Y., Shen, Y.: Effect of aeration rate, C/N ratio and moisture content on the stability and maturity of compost. Biores. Technol. 112, 171–178 (2012)

    Article  Google Scholar 

  27. Muhamad, N.A., Sam, A.: LabVIEW with fuzzy logic controller simulation panel for condition monitoring of oil and dry type transformer. Int. J. Appl. Math. Comput. Sci. 213–219 (2005). 1; 4 © www.waset.org

  28. Neugebauer, M., Sołowiej, P., Piechocki, J.: Fuzzy control for the process of heat removal during the composting of agricultural waste. J. Mater. Cycles Waste Manage. 16(2), 87–93 (2013)

    Google Scholar 

  29. Neugebauer, M., Sołowiej, P.: The concept of using fuzzy logic to control composting process for biomass of agricultural origin with simultaneous heat reception. Inżynieria Rolnicza 8(117), 139–145 (2009)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. University of Warmia and Mazury in Olsztyn, Olsztyn, Poland

    Maciej Neugebauer, Piotr Sołowiej & Maciej Wesołowski

  2. University of Agriculture in Krakow, Kraków, Poland

    Tomasz Jakubowski

Authors
  1. Maciej Neugebauer
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Tomasz Jakubowski
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Piotr Sołowiej
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Maciej Wesołowski
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Maciej Neugebauer .

Editor information

Editors and Affiliations

  1. Faculty of Production and Power Engineering, University of Agriculture in Krakow, Kraków, Poland

    Krzysztof Mudryk

  2. Institute of Thermal Technology, Silesian University of Technology, Gliwice, Poland

    Sebastian Werle

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer International Publishing AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Neugebauer, M., Jakubowski, T., Sołowiej, P., Wesołowski, M. (2018). A Fuzzy Model of the Composting Process with Simultaneous Heat Recovery and Aeration Rate Control. In: Mudryk, K., Werle, S. (eds) Renewable Energy Sources: Engineering, Technology, Innovation. Springer Proceedings in Energy. Springer, Cham. https://doi.org/10.1007/978-3-319-72371-6_15

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-72371-6_15

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-72370-9

  • Online ISBN: 978-3-319-72371-6

  • eBook Packages: EnergyEnergy (R0)

Publish with us

Policies and ethics

Search

Navigation