IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v105y2013icp66-74.html
   My bibliography  Save this article

Fuel moisture soft-sensor and its validation for the industrial BioPower 5 CHP plant

Author

Listed:
  • Kortela, J.
  • Jämsä-Jounela, S-L.

Abstract

This paper presents a soft-sensor for on-line monitoring of fuel moisture in a furnace. The method utilizes combustion power estimation and a dynamic model of the secondary superheater. In addition, the time delays in detecting changes in moisture content of the fuel are small enough for the method to be used for controlling air and fuel feed and preventing steam and pressure oscillations. To verify the fuel moisture soft-sensor, experiments were performed at a BioPower 5 CHP plant, which utilizes BioGrate combustion technology for very wet biomass fuels with a moisture content as high as 65%. Finally, the results are analyzed and discussed.

Suggested Citation

  • Kortela, J. & Jämsä-Jounela, S-L., 2013. "Fuel moisture soft-sensor and its validation for the industrial BioPower 5 CHP plant," Applied Energy, Elsevier, vol. 105(C), pages 66-74.
    • Handle: RePEc:eee:appene:v:105:y:2013:i:c:p:66-74
    DOI: 10.1016/j.apenergy.2012.12.049
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261912009403
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.apenergy.2012.12.049?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. Siitonen, Sari & Tuomaala, Mari & Suominen, Markku & Ahtila, Pekka, 2010. "Implications of process energy efficiency improvements for primary energy consumption and CO2 emissions at the national level," Applied Energy, Elsevier, vol. 87(9), pages 2928-2937, September.
    2. Lian, Z.T. & Chua, K.J. & Chou, S.K., 2010. "A thermoeconomic analysis of biomass energy for trigeneration," Applied Energy, Elsevier, vol. 87(1), pages 84-95, January.
    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. Kortela, J. & Jämsä-Jounela, S.-L., 2014. "Model predictive control utilizing fuel and moisture soft-sensors for the BioPower 5 combined heat and power (CHP) plant," Applied Energy, Elsevier, vol. 131(C), pages 189-200.
    2. Zeng, De-Liang & Hu, Yong & Gao, Shan & Liu, Ji-Zhen, 2015. "Modelling and control of pulverizing system considering coal moisture," Energy, Elsevier, vol. 80(C), pages 55-63.

    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. Zhao, Xinyue & Chen, Heng & Zheng, Qiwei & Liu, Jun & Pan, Peiyuan & Xu, Gang & Zhao, Qinxin & Jiang, Xue, 2023. "Thermo-economic analysis of a novel hydrogen production system using medical waste and biogas with zero carbon emission," Energy, Elsevier, vol. 265(C).
    2. Ahmadi, Pouria & Dincer, Ibrahim & Rosen, Marc A., 2014. "Thermoeconomic multi-objective optimization of a novel biomass-based integrated energy system," Energy, Elsevier, vol. 68(C), pages 958-970.
    3. Al Moussawi, Houssein & Fardoun, Farouk & Louahlia, Hasna, 2017. "Selection based on differences between cogeneration and trigeneration in various prime mover technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 74(C), pages 491-511.
    4. Bellomare, Filippo & Rokni, Masoud, 2013. "Integration of a municipal solid waste gasification plant with solid oxide fuel cell and gas turbine," Renewable Energy, Elsevier, vol. 55(C), pages 490-500.
    5. Gallo, Michela & Del Borghi, Adriana & Strazza, Carlo & Parodi, Lara & Arcioni, Livia & Proietti, Stefania, 2016. "Opportunities and criticisms of voluntary emission reduction projects developed by Public Administrations: Analysis of 143 case studies implemented in Italy," Applied Energy, Elsevier, vol. 179(C), pages 1269-1282.
    6. Larsen, Ulrik & Pierobon, Leonardo & Baldi, Francesco & Haglind, Fredrik & Ivarsson, Anders, 2015. "Development of a model for the prediction of the fuel consumption and nitrogen oxides emission trade-off for large ships," Energy, Elsevier, vol. 80(C), pages 545-555.
    7. Saeed Alqaed & Ali Fouda & Hassan F. Elattar & Jawed Mustafa & Fahad Awjah Almehmadi & Hassanein A. Refaey & Mathkar A. Alharthi, 2022. "Performance Evaluation of a Solar Heat-Driven Poly-Generation System for Residential Buildings Using Various Arrangements of Heat Recovery Units," Energies, MDPI, vol. 15(22), pages 1-26, November.
    8. Pierobon, Leonardo & Nguyen, Tuong-Van & Larsen, Ulrik & Haglind, Fredrik & Elmegaard, Brian, 2013. "Multi-objective optimization of organic Rankine cycles for waste heat recovery: Application in an offshore platform," Energy, Elsevier, vol. 58(C), pages 538-549.
    9. Yevheniia Ziabina & Aleksy Kwilinski & Oleksii Lyulyov & Tetyana Pimonenko & Yana Us, 2023. "Convergence of Energy Policies between the EU and Ukraine under the Green Deal Policy," Energies, MDPI, vol. 16(2), pages 1-19, January.
    10. Fahad Awjah Almehmadi & H. F. Elattar & A. Fouda & Saeed Alqaed & Jawed Mustafa & Mathkar A. Alharthi & H. A. Refaey, 2022. "Energy Performance Assessment of a Novel Solar Poly-Generation System Using Various ORC Working Fluids in Residential Buildings," Energies, MDPI, vol. 15(21), pages 1-25, November.
    11. Chua, K.J. & Yang, W.M. & Er, S.S. & Ho, C.A., 2014. "Sustainable energy systems for a remote island community," Applied Energy, Elsevier, vol. 113(C), pages 1752-1763.
    12. Cheng, Tianliang & Jiang, Jianhua & Wu, Xiaodong & Li, Xi & Xu, Mengxue & Deng, Zhonghua & Li, Jian, 2019. "Application oriented multiple-objective optimization, analysis and comparison of solid oxide fuel cell systems with different configurations," Applied Energy, Elsevier, vol. 235(C), pages 914-929.
    13. Jie, Pengfei & Zhao, Wanyue & Yan, Fuchun & Man, Xiaoxin & Liu, Chunhua, 2022. "Economic, energetic and environmental optimization of hybrid biomass gasification-based combined cooling, heating and power system based on an improved operating strategy," Energy, Elsevier, vol. 240(C).
    14. Pierobon, L. & Benato, A. & Scolari, E. & Haglind, F. & Stoppato, A., 2014. "Waste heat recovery technologies for offshore platforms," Applied Energy, Elsevier, vol. 136(C), pages 228-241.
    15. Kohl, Thomas & Laukkanen, Timo & Järvinen, Mika & Fogelholm, Carl-Johan, 2013. "Energetic and environmental performance of three biomass upgrading processes integrated with a CHP plant," Applied Energy, Elsevier, vol. 107(C), pages 124-134.
    16. Chen, Zhidong & Hou, Yichen & Liu, Mingyu & Zhang, Guoqiang & Zhang, Kai & Zhang, Dongke & Yang, Lijun & Kong, Yanqiang & Du, Xiaoze, 2022. "Thermodynamic and economic analyses of sewage sludge resource utilization systems integrating Drying, Incineration, and power generation processes," Applied Energy, Elsevier, vol. 327(C).
    17. Shokati, Naser & Ranjbar, Faramarz & Yari, Mortaza, 2015. "Exergoeconomic analysis and optimization of basic, dual-pressure and dual-fluid ORCs and Kalina geothermal power plants: A comparative study," Renewable Energy, Elsevier, vol. 83(C), pages 527-542.
    18. Gibson, Chanel Ann & Meybodi, Mehdi Aghaei & Behnia, Masud, 2013. "Optimisation and selection of a steam turbine for a large scale industrial CHP (combined heat and power) system under Australia's carbon price," Energy, Elsevier, vol. 61(C), pages 291-307.
    19. Zhang, Qi & Xu, Jin & Wang, Yujie & Hasanbeigi, Ali & Zhang, Wei & Lu, Hongyou & Arens, Marlene, 2018. "Comprehensive assessment of energy conservation and CO2 emissions mitigation in China’s iron and steel industry based on dynamic material flows," Applied Energy, Elsevier, vol. 209(C), pages 251-265.
    20. Feng, Zhen-Hua & Wei, Yi-Ming & Wang, Kai, 2012. "Estimating risk for the carbon market via extreme value theory: An empirical analysis of the EU ETS," Applied Energy, Elsevier, vol. 99(C), pages 97-108.

    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:105:y:2013:i:c:p:66-74. 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.