IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v86y2009i6p857-866.html
   My bibliography  Save this article

Numerical based design of exhaust gas system in a cogeneration power plant

Author

Listed:
  • Pinelli, M.
  • Bucci, G.

Abstract

Among the various aspects that have to be analysed in a cogeneration and combined cycle plant design, the exhaust gas stack design can represent a critical aspect, in particular when a by-pass stack, which allows the modulation of heat-to-power generation, is present, since it may influence the entire system working condition. To properly take into account the large number of the different requirements which enter in an exhaust gas system design, a multidisciplinary analysis involving numerical integrated approaches can be adopted in order to obtain an optimally designed stack system. In this paper, the design of the exhaust gas system in a cogeneration plant is analysed. The design is performed numerically through a three-dimensional integrated numerical code. Different design solutions are simulated and the results discussed in detail.

Suggested Citation

  • Pinelli, M. & Bucci, G., 2009. "Numerical based design of exhaust gas system in a cogeneration power plant," Applied Energy, Elsevier, vol. 86(6), pages 857-866, June.
  • Handle: RePEc:eee:appene:v:86:y:2009:i:6:p:857-866
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306-2619(08)00202-X
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    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. Franco, Alessandro & Giannini, Nicola, 2006. "A general method for the optimum design of heat recovery steam generators," Energy, Elsevier, vol. 31(15), pages 3342-3361.
    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. Matelli, José Alexandre & Bazzo, Edson & da Silva, Jonny Carlos, 2011. "Development of a case-based reasoning prototype for cogeneration plant design," Applied Energy, Elsevier, vol. 88(9), pages 3030-3041.
    2. Pinelli, Michele & Suman, Alessio, 2014. "A numerical method for the efficient design of free opening hoods in industrial and domestic applications," Energy, Elsevier, vol. 74(C), pages 484-493.
    3. Rezk, Kamal & Forsberg, Jan, 2011. "Geometry development of the internal duct system of a heat pump tumble dryer based on fluid mechanic parameters from a CFD software," Applied Energy, Elsevier, vol. 88(5), pages 1596-1605, May.
    4. Raghoo, Pravesh & Surroop, Dinesh & Wolf, Franziska, 2017. "Natural gas to improve energy security in Small Island Developing States: A techno-economic analysis," Development Engineering, Elsevier, vol. 2(C), pages 92-98.
    5. Nizetic, S. & Klarin, B., 2010. "A simplified analytical approach for evaluation of the optimal ratio of pressure drop across the turbine in solar chimney power plants," Applied Energy, Elsevier, vol. 87(2), pages 587-591, February.

    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. Mazzetti, Marit J. & Hagen, Brede A.L. & Skaugen, Geir & Lindqvist, Karl & Lundberg, Steinar & Kristensen, Oddrun A., 2021. "Achieving 50% weight reduction of offshore steam bottoming cycles," Energy, Elsevier, vol. 230(C).
    2. Brodrick, Philip G. & Brandt, Adam R. & Durlofsky, Louis J., 2018. "Optimal design and operation of integrated solar combined cycles under emissions intensity constraints," Applied Energy, Elsevier, vol. 226(C), pages 979-990.
    3. Manassaldi, Juan I. & Mussati, Sergio F. & Scenna, Nicolás J., 2011. "Optimal synthesis and design of Heat Recovery Steam Generation (HRSG) via mathematical programming," Energy, Elsevier, vol. 36(1), pages 475-485.
    4. Bracco, Stefano & Siri, Silvia, 2010. "Exergetic optimization of single level combined gas–steam power plants considering different objective functions," Energy, Elsevier, vol. 35(12), pages 5365-5373.
    5. Ferruzza, Davide & Kærn, Martin Ryhl & Haglind, Fredrik, 2019. "Design of header and coil steam generators for concentrating solar power applications accounting for low-cycle fatigue requirements," Applied Energy, Elsevier, vol. 236(C), pages 793-803.
    6. Lee, Jae Hong & Kim, Tong Seop & Kim, Eui-hwan, 2017. "Prediction of power generation capacity of a gas turbine combined cycle cogeneration plant," Energy, Elsevier, vol. 124(C), pages 187-197.
    7. Symonds, Robert T. & Hughes, Robin W. & De Las Obras Loscertales, Margarita, 2020. "Oxy-pressurized fluidized bed combustion: Configuration and options analysis," Applied Energy, Elsevier, vol. 262(C).
    8. Brodrick, Philip G. & Brandt, Adam R. & Durlofsky, Louis J., 2017. "Operational optimization of an integrated solar combined cycle under practical time-dependent constraints," Energy, Elsevier, vol. 141(C), pages 1569-1584.
    9. Teichgraeber, Holger & Brodrick, Philip G. & Brandt, Adam R., 2017. "Optimal design and operations of a flexible oxyfuel natural gas plant," Energy, Elsevier, vol. 141(C), pages 506-518.
    10. Kotowicz, Janusz & Bartela, Łukasz, 2011. "The influence of the legal and economical environment and the profile of activities on the optimal design features of a natural-gas-fired combined heat and power plant," Energy, Elsevier, vol. 36(1), pages 328-338.
    11. Mehrgoo, Morteza & Amidpour, Majid, 2017. "Constructal design and optimization of a dual pressure heat recovery steam generator," Energy, Elsevier, vol. 124(C), pages 87-99.
    12. Kotowicz, Janusz & Bartela, Łukasz, 2010. "The influence of economic parameters on the optimal values of the design variables of a combined cycle plant," Energy, Elsevier, vol. 35(2), pages 911-919.
    13. Zhang, Jianyun & Liu, Pei & Zhou, Zhe & Ma, Linwei & Li, Zheng & Ni, Weidou, 2014. "A mixed-integer nonlinear programming approach to the optimal design of heat network in a polygeneration energy system," Applied Energy, Elsevier, vol. 114(C), pages 146-154.
    14. Rezaie, Ali & Tsatsaronis, George & Hellwig, Udo, 2019. "Thermal design and optimization of a heat recovery steam generator in a combined-cycle power plant by applying a genetic algorithm," Energy, Elsevier, vol. 168(C), pages 346-357.
    15. Ferruzza, Davide & Kærn, Martin Ryhl & Haglind, Fredrik, 2020. "A method to account for transient performance requirements in the design of steam generators for concentrated solar power applications," Applied Energy, Elsevier, vol. 269(C).

    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:86:y:2009:i:6:p:857-866. 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.