IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v13y2021i9p5300-d551278.html
   My bibliography  Save this article

Application of Data Validation and Reconciliation to Improve Measurement Results in the Determination Process of Emission Characteristics in Co-Combustion of Sewage Sludge with Coal

Author

Listed:
  • Michał Kozioł

    (Department of Technologies and Installations for Waste Management, Silesian University of Technology, 44-100 Gliwice, Poland)

  • Joachim Kozioł

    (Faculty of Civil Engineering, Architecture and Environmental Engineering, University of Zielona Góra, 65-516 Zielona Góra, Poland)

Abstract

One of the actions popularized worldwide to reduce the consumption of fossil fuels is the combustion of renewable fuels and the co-combustion of both of these fuels. To properly implement combustion and co-combustion processes in power-generation installations, operational characteristics, including emission characteristics are required. To determine these characteristics, tests must be conducted, within the scope of which, for individual operating stages of the installation’s work, the readings collected from a relatively large number of control and measurement instruments should be taken into account. All these instruments have different levels of accuracy, which, among other factors, bring about lower adequacy of the characteristics determined on the basis of these measurements. The objective of this study is to present possible adaptations of data validation and reconciliation methods to increase the adequacy of emission characteristics for the process of co-combustion of fuels. The methodology is discussed based on the example of studies on the co-combustion process of sewage sludge with coal in a grate furnace. The aforementioned characteristics were determined based on measurement tests of gaseous emissions of flue gas components. The tests were carried out for various preset operational conditions of the process, such as the thickness of fuel layer on the grate, the share of sludge in the fuel, the humidity of the sludge, the theoretical ratio of excess air to combustion, and the distribution of air stream during the process. The research object is described and detailed research results concerning two exemplary measurement tests are given, as well as the most important results referring to the whole research. The performed calculations indicate the necessity to take into account often significant corrections, which can amount to about 10% of the measured value.

Suggested Citation

  • Michał Kozioł & Joachim Kozioł, 2021. "Application of Data Validation and Reconciliation to Improve Measurement Results in the Determination Process of Emission Characteristics in Co-Combustion of Sewage Sludge with Coal," Sustainability, MDPI, vol. 13(9), pages 1-19, May.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:9:p:5300-:d:551278
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/13/9/5300/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/13/9/5300/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Oleg Todorov & Kari Alanne & Markku Virtanen & Risto Kosonen, 2021. "A Novel Data Management Methodology and Case Study for Monitoring and Performance Analysis of Large-Scale Ground Source Heat Pump (GSHP) and Borehole Thermal Energy Storage (BTES) System," Energies, MDPI, vol. 14(6), pages 1-25, March.
    2. Suramaythangkoor, Tritib & Gheewala, Shabbir H., 2010. "Potential alternatives of heat and power technology application using rice straw in Thailand," Applied Energy, Elsevier, vol. 87(1), pages 128-133, January.
    3. Guo, Sisi & Liu, Pei & Li, Zheng, 2016. "Data reconciliation for the overall thermal system of a steam turbine power plant," Applied Energy, Elsevier, vol. 165(C), pages 1037-1051.
    4. Palash Sarkar & Jukka Kortela & Alexandre Boriouchkine & Elena Zattoni & Sirkka-Liisa Jämsä-Jounela, 2017. "Data-Reconciliation Based Fault-Tolerant Model Predictive Control for a Biomass Boiler," Energies, MDPI, vol. 10(2), pages 1-14, February.
    5. Szega, Marcin, 2020. "Methodology of advanced data validation and reconciliation application in industrial thermal processes," Energy, Elsevier, vol. 198(C).
    6. Plis, Marcin & Rusinowski, Henryk, 2019. "Identification of mathematical models of thermal processes with reconciled measurement results," Energy, Elsevier, vol. 177(C), pages 192-202.
    7. Szega, Marcin & Czyż, Tomasz, 2019. "Problems of calculation the energy efficiency of a dual-fuel steam boiler fired with industrial waste gases," Energy, Elsevier, vol. 178(C), pages 134-144.
    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. Yu, Jianxi & Han, Wenquan & Chen, Kang & Liu, Pei & Li, Zheng, 2022. "Gross error detection in steam turbine measurements based on data reconciliation of inequality constraints," Energy, Elsevier, vol. 253(C).
    2. Oleg Todorov & Kari Alanne & Markku Virtanen & Risto Kosonen, 2021. "A Novel Data Management Methodology and Case Study for Monitoring and Performance Analysis of Large-Scale Ground Source Heat Pump (GSHP) and Borehole Thermal Energy Storage (BTES) System," Energies, MDPI, vol. 14(6), pages 1-25, March.
    3. Heydar Maddah & Milad Sadeghzadeh & Mohammad Hossein Ahmadi & Ravinder Kumar & Shahaboddin Shamshirband, 2019. "Modeling and Efficiency Optimization of Steam Boilers by Employing Neural Networks and Response-Surface Method (RSM)," Mathematics, MDPI, vol. 7(7), pages 1-17, July.
    4. Shafie, S.M. & Mahlia, T.M.I. & Masjuki, H.H., 2013. "Life cycle assessment of rice straw co-firing with coal power generation in Malaysia," Energy, Elsevier, vol. 57(C), pages 284-294.
    5. Lv, You & Lv, Xuguang & Fang, Fang & Yang, Tingting & Romero, Carlos E., 2020. "Adaptive selective catalytic reduction model development using typical operating data in coal-fired power plants," Energy, Elsevier, vol. 192(C).
    6. Delivand, Mitra Kami & Barz, Mirko & Gheewala, Shabbir H. & Sajjakulnukit, Boonrod, 2011. "Economic feasibility assessment of rice straw utilization for electricity generating through combustion in Thailand," Applied Energy, Elsevier, vol. 88(11), pages 3651-3658.
    7. Zhang, Qin & Zhou, Dequn & Zhou, Peng & Ding, Hao, 2013. "Cost Analysis of straw-based power generation in Jiangsu Province, China," Applied Energy, Elsevier, vol. 102(C), pages 785-793.
    8. Zhao, Guanjia & Cui, Zhipeng & Xu, Jing & Liu, Wenhao & Ma, Suxia, 2022. "Hybrid modeling-based digital twin for performance optimization with flexible operation in the direct air-cooling power unit," Energy, Elsevier, vol. 254(PC).
    9. Husnul Qodim & Herningsih Herningsih & Phong Thanh Nguyen & Quyen Le Hoang Thuy To Nguyen & Apriana Toding, 2019. "Educating the Information Integration Using Contextual Knowledge and Ontology Merging in Advanced Levels," International Journal of Higher Education, Sciedu Press, vol. 8(8), pages 1-24, December.
    10. Michel Noussan & Benedetto Nastasi, 2018. "Data Analysis of Heating Systems for Buildings—A Tool for Energy Planning, Policies and Systems Simulation," Energies, MDPI, vol. 11(1), pages 1-15, January.
    11. Yu, Jianxi & Liu, Pei & Li, Zheng, 2021. "Data reconciliation of the thermal system of a double reheat power plant for thermal calculation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 148(C).
    12. Chitawo, Maxon L. & Chimphango, Annie F.A., 2017. "A synergetic integration of bioenergy and rice production in rice farms," Renewable and Sustainable Energy Reviews, Elsevier, vol. 75(C), pages 58-67.
    13. Gangil, Sandip & Bhargav, Vinod Kumar, 2019. "Influences of binderless briquetting stresses on intrinsic bioconstituents of rice straw based solid biofuel," Renewable Energy, Elsevier, vol. 133(C), pages 462-469.
    14. Qing Yin & Muhan Yu & Xueliang Ma & Ying Liu & Xunzhi Yin, 2023. "The Role of Straw Materials in Energy-Efficient Buildings: Current Perspectives and Future Trends," Energies, MDPI, vol. 16(8), pages 1-24, April.
    15. Szega, Marcin, 2020. "Methodology of advanced data validation and reconciliation application in industrial thermal processes," Energy, Elsevier, vol. 198(C).
    16. Yu, Jianxi & Petersen, Nils & Liu, Pei & Li, Zheng & Wirsum, Manfred, 2022. "Hybrid modelling and simulation of thermal systems of in-service power plants for digital twin development," Energy, Elsevier, vol. 260(C).
    17. Oleg Todorov & Kari Alanne & Markku Virtanen & Risto Kosonen, 2021. "Different Approaches for Evaluation and Modeling of the Effective Thermal Resistance of Groundwater-Filled Boreholes," Energies, MDPI, vol. 14(21), pages 1-25, October.
    18. Ramamurthi, Pooja Vijay & Fernandes, Maria Cristina & Nielsen, Per Sieverts & Nunes, Clemente Pedro, 2016. "Utilisation of rice residues for decentralised electricity generation in Ghana: An economic analysis," Energy, Elsevier, vol. 111(C), pages 620-629.
    19. Silalertruksa, Thapat & Gheewala, Shabbir H. & Sagisaka, Masayuki & Yamaguchi, Katsunobu, 2013. "Life cycle GHG analysis of rice straw bio-DME production and application in Thailand," Applied Energy, Elsevier, vol. 112(C), pages 560-567.
    20. Cristina Moliner & Dario Bove & Elisabetta Arato, 2020. "Co-Incineration of Rice Straw-Wood Pellets: A Sustainable Strategy for the Valorisation of Rice Waste," Energies, MDPI, vol. 13(21), pages 1-14, November.

    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:jsusta:v:13:y:2021:i:9:p:5300-:d:551278. 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.