IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v11y2018i4p768-d138453.html
   My bibliography  Save this article

Techno-Economic Analysis of a 600 MW Oxy-Enrich Pulverized Coal-Fired Boiler

Author

Listed:
  • Ming Lei

    (School of Energy and Power Engineering, North China Electric Power University, Baoding 071000, China)

  • Cen Sun

    (School of Energy and Power Engineering, North China Electric Power University, Baoding 071000, China)

  • Chunbo Wang

    (School of Energy and Power Engineering, North China Electric Power University, Baoding 071000, China)

Abstract

Oxy-fuel combustion is one of the most promising methods for CO 2 capture and storage (CCS) but the operating costs—mainly due to the need for oxygen production—usually lead to an obvious decrease in power generation efficiency. An “oxy-enrich combustion” process was proposed in this study to improve the efficiency of the oxy-fuel combustion process. The oxidizer for oxy-enrich combustion was composed of pure oxygen, air and recycled flue gas. Thus, the CO 2 concentration in the flue gas decreased to 30–40%. The PSA (pressure swing adsorption), which has been widely used for CO 2 removal from the shifting gases of ammonia synthesis in China, was applied to capture CO 2 during oxy-enrich combustion. The technological economics of oxy-enrich combustion with PSA was calculated and compared to that of oxy-fuel combustion. The results indicated that, compared with oxy-fuel combustion: (1) the oxy-enrich combustion has fewer capital and operating costs for the ASU (air separation unit) and the recycle fan; (2) there were fewer changes in the components of the flue gas in a furnace for oxy-enrich combustion between dry and wet flue gas circulation; and (3) as the volume ratio of air and oxygen was 2 or 3, the economics of oxy-enrich combustion with PSA were more advantageous.

Suggested Citation

  • Ming Lei & Cen Sun & Chunbo Wang, 2018. "Techno-Economic Analysis of a 600 MW Oxy-Enrich Pulverized Coal-Fired Boiler," Energies, MDPI, vol. 11(4), pages 1-12, March.
  • Handle: RePEc:gam:jeners:v:11:y:2018:i:4:p:768-:d:138453
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/11/4/768/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/11/4/768/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Valero, Antonio & Lozano, Miguel A. & Serra, Luis & Tsatsaronis, George & Pisa, Javier & Frangopoulos, Christos & von Spakovsky, Michael R., 1994. "CGAM problem: Definition and conventional solution," Energy, Elsevier, vol. 19(3), pages 279-286.
    2. Gang Xu & Feifei Liang & Yongping Yang & Yue Hu & Kai Zhang & Wenyi Liu, 2014. "An Improved CO 2 Separation and Purification System Based on Cryogenic Separation and Distillation Theory," Energies, MDPI, vol. 7(5), pages 1-19, May.
    3. Kai Lei & Buqing Ye & Jin Cao & Rui Zhang & Dong Liu, 2017. "Combustion Characteristics of Single Particles from Bituminous Coal and Pine Sawdust in O 2 /N 2 , O 2 /CO 2 , and O 2 /H 2 O Atmospheres," Energies, MDPI, vol. 10(11), pages 1-12, October.
    4. Xiang Gou & Chunfei Wu & Kai Zhang & Guoyou Xu & Meng Si & Yating Wang & Enyu Wang & Liansheng Liu & Jinxiang Wu, 2015. "Low Temperature Performance of Selective Catalytic Reduction of NO with NH 3 under a Concentrated CO 2 Atmosphere," Energies, MDPI, vol. 8(11), pages 1-11, October.
    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. Bedoić, Robert & Dorotić, Hrvoje & Schneider, Daniel Rolph & Čuček, Lidija & Ćosić, Boris & Pukšec, Tomislav & Duić, Neven, 2021. "Synergy between feedstock gate fee and power-to-gas: An energy and economic analysis of renewable methane production in a biogas plant," Renewable Energy, Elsevier, vol. 173(C), pages 12-23.
    2. Zhiyu Zhang & Rongrong Zhai & Xinwei Wang & Yongping Yang, 2020. "Sensitivity Analysis and Optimization of Operating Parameters of an Oxyfuel Combustion Power Generation System Based on Single-Factor and Orthogonal Design Methods," Energies, MDPI, vol. 13(4), pages 1-22, 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. Sahu, Mithilesh Kumar & Sanjay,, 2017. "Comparative exergoeconomics of power utilities: Air-cooled gas turbine cycle and combined cycle configurations," Energy, Elsevier, vol. 139(C), pages 42-51.
    2. Ahmadi, Pouria & Dincer, Ibrahim, 2010. "Exergoenvironmental analysis and optimization of a cogeneration plant system using Multimodal Genetic Algorithm (MGA)," Energy, Elsevier, vol. 35(12), pages 5161-5172.
    3. Ahmadi, Pouria & Dincer, Ibrahim & Rosen, Marc A., 2011. "Exergy, exergoeconomic and environmental analyses and evolutionary algorithm based multi-objective optimization of combined cycle power plants," Energy, Elsevier, vol. 36(10), pages 5886-5898.
    4. Sarah Hamdy & Francisco Moser & Tatiana Morosuk & George Tsatsaronis, 2019. "Exergy-Based and Economic Evaluation of Liquefaction Processes for Cryogenics Energy Storage," Energies, MDPI, vol. 12(3), pages 1-19, February.
    5. José Luis Míguez & Jacobo Porteiro & Raquel Pérez-Orozco & Miguel Ángel Gómez, 2018. "Technology Evolution in Membrane-Based CCS," Energies, MDPI, vol. 11(11), pages 1-18, November.
    6. Nondy, J. & Gogoi, T.K., 2021. "Performance comparison of multi-objective evolutionary algorithms for exergetic and exergoenvironomic optimization of a benchmark combined heat and power system," Energy, Elsevier, vol. 233(C).
    7. Usón, Sergio & Kostowski, Wojciech J. & Stanek, Wojciech & Gazda, Wiesław, 2015. "Thermoecological cost of electricity, heat and cold generated in a trigeneration module fuelled with selected fossil and renewable fuels," Energy, Elsevier, vol. 92(P3), pages 308-319.
    8. Bargos, Fabiano Fernandes & Lamas, Wendell de Queiróz & Bilato, Gabriel Adam, 2018. "Computational tools and operational research for optimal design of co-generation systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 93(C), pages 507-516.
    9. Teymouri, Matin & Sadeghi, Shayan & Moghimi, Mahdi & Ghandehariun, Samane, 2021. "3E analysis and optimization of an innovative cogeneration system based on biomass gasification and solar photovoltaic thermal plant," Energy, Elsevier, vol. 230(C).
    10. Yusuf, Noor & Almomani, Fares, 2023. "Recent advances in biogas purifying technologies: Process design and economic considerations," Energy, Elsevier, vol. 265(C).
    11. César Torres & Antonio Valero, 2021. "The Exergy Cost Theory Revisited," Energies, MDPI, vol. 14(6), pages 1-42, March.
    12. Galina Nyashina & Pavel Strizhak, 2018. "Impact of Forest Fuels on Gas Emissions in Coal Slurry Fuel Combustion," Energies, MDPI, vol. 11(9), pages 1-16, September.
    13. Saghafifar, Mohammad & Gadalla, Mohamed, 2016. "Thermo-economic analysis of air bottoming cycle hybridization using heliostat field collector: A comparative analysis," Energy, Elsevier, vol. 112(C), pages 698-714.
    14. Zhou, Xiao & Cai, Yangchao & Li, Xuetao, 2024. "Process arrangement and multi-aspect study of a novel environmentally-friendly multigeneration plant relying on a geothermal-based plant combined with the goswami cycle booted by kalina and desalinati," Energy, Elsevier, vol. 299(C).
    15. Torres, César & Valero, Antonio & Valero, Alicia, 2013. "Exergoecology as a tool for ecological modelling. The case of the US food production chain," Ecological Modelling, Elsevier, vol. 255(C), pages 21-28.
    16. Abusoglu, Aysegul & Kanoglu, Mehmet, 2009. "Exergoeconomic analysis and optimization of combined heat and power production: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(9), pages 2295-2308, December.
    17. Karaali, Rabi & Öztürk, İlhan Tekin, 2015. "Thermoeconomic optimization of gas turbine cogeneration plants," Energy, Elsevier, vol. 80(C), pages 474-485.
    18. Stanek, Wojciech & Gazda, Wiesław & Kostowski, Wojciech, 2015. "Thermo-ecological assessment of CCHP (combined cold-heat-and-power) plant supported with renewable energy," Energy, Elsevier, vol. 92(P3), pages 279-289.
    19. Mazur, V., 2009. "Fuzzy thermoeconomic optimization of energy-transforming systems," Applied Energy, Elsevier, vol. 84(7-8), pages 749-762, July.
    20. Noorbakhsh, Hosein & Khoshgoftar Manesh, Mohamad Hasan & Amidpour, Majid, 2023. "Evaluation of an innovative polygeneration system based on integration of gasification process with a thermo electric generator- solid oxide fuel cell - Adsorption desalination system - Thermal photov," Energy, Elsevier, vol. 282(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:gam:jeners:v:11:y:2018:i:4:p:768-:d:138453. 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.