IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v11y2018i1p119-d125318.html
   My bibliography  Save this article

Energy Analysis of Cascade Heating with High Back-Pressure Large-Scale Steam Turbine

Author

Listed:
  • Zhihua Ge

    (Key Laboratory of Condition Monitoring and Control for Power Plant Equipment (North China Electric Power University), Ministry of Education, Beijing 102206, China)

  • Fuxiang Zhang

    (Key Laboratory of Condition Monitoring and Control for Power Plant Equipment (North China Electric Power University), Ministry of Education, Beijing 102206, China)

  • Shimeng Sun

    (Key Laboratory of Condition Monitoring and Control for Power Plant Equipment (North China Electric Power University), Ministry of Education, Beijing 102206, China)

  • Jie He

    (Key Laboratory of Condition Monitoring and Control for Power Plant Equipment (North China Electric Power University), Ministry of Education, Beijing 102206, China)

  • Xiaoze Du

    (School of Energy and Power Engineering, Lanzhou University of Technology, Lanzhou 730050, China)

Abstract

To reduce the exergy loss that is caused by the high-grade extraction steam of traditional heating mode of combined heat and power (CHP) generating unit, a high back-pressure cascade heating technology for two jointly constructed large-scale steam turbine power generating units is proposed. The Unit 1 makes full use of the exhaust steam heat from high back-pressure turbine, and the Unit 2 uses the original heating mode of extracting steam condensation, which significantly reduces the flow rate of high-grade extraction steam. The typical 2 × 350 MW supercritical CHP units in northern China were selected as object. The boundary conditions for heating were determined based on the actual climatic conditions and heating demands. A model to analyze the performance of the high back-pressure cascade heating supply units for off-design operating conditions was developed. The load distributions between high back-pressure exhaust steam direct supply and extraction steam heating supply were described under various conditions, based on which, the heating efficiency of the CHP units with the high back-pressure cascade heating system was analyzed. The design heating load and maximum heating supply load were determined as well. The results indicate that the average coal consumption rate during the heating season is 205.46 g/kWh for the design heating load after the retrofit, which is about 51.99 g/kWh lower than that of the traditional heating mode. The coal consumption rate of 199.07 g/kWh can be achieved for the maximum heating load. Significant energy saving and CO 2 emission reduction are obtained.

Suggested Citation

  • Zhihua Ge & Fuxiang Zhang & Shimeng Sun & Jie He & Xiaoze Du, 2018. "Energy Analysis of Cascade Heating with High Back-Pressure Large-Scale Steam Turbine," Energies, MDPI, vol. 11(1), pages 1-15, January.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:1:p:119-:d:125318
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/11/1/119/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/11/1/119/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Athawale, Rasika & Felder, Frank A. & Goldman, Leo A., 2016. "Do Combined Heat and Power plants perform? Case study of publicly funded projects in New York," Energy Policy, Elsevier, vol. 97(C), pages 618-627.
    2. Li, Hongwei & Svendsen, Svend, 2012. "Energy and exergy analysis of low temperature district heating network," Energy, Elsevier, vol. 45(1), pages 237-246.
    3. Wang, Ligang & Yang, Yongping & Dong, Changqing & Morosuk, Tatiana & Tsatsaronis, George, 2014. "Multi-objective optimization of coal-fired power plants using differential evolution," Applied Energy, Elsevier, vol. 115(C), pages 254-264.
    4. Wang, Haichao & Yin, Wusong & Abdollahi, Elnaz & Lahdelma, Risto & Jiao, Wenling, 2015. "Modelling and optimization of CHP based district heating system with renewable energy production and energy storage," Applied Energy, Elsevier, vol. 159(C), pages 401-421.
    5. Lund, H. & Möller, B. & Mathiesen, B.V. & Dyrelund, A., 2010. "The role of district heating in future renewable energy systems," Energy, Elsevier, vol. 35(3), pages 1381-1390.
    6. Ji, Ying & Xu, Peng & Duan, Pengfei & Lu, Xing, 2016. "Estimating hourly cooling load in commercial buildings using a thermal network model and electricity submetering data," Applied Energy, Elsevier, vol. 169(C), pages 309-323.
    7. Al-Shammari, Eiman Tamah & Keivani, Afram & Shamshirband, Shahaboddin & Mostafaeipour, Ali & Yee, Por Lip & Petković, Dalibor & Ch, Sudheer, 2016. "Prediction of heat load in district heating systems by Support Vector Machine with Firefly searching algorithm," Energy, Elsevier, vol. 95(C), pages 266-273.
    8. Byun, Sun-Joon & Park, Hyun-Sik & Yi, Sung-Jae & Song, Chul-Hwa & Choi, Young-Don & Lee, So-Hyeon & Shin, Jong-Keun, 2015. "Study on the optimal heat supply control algorithm for district heating distribution network in response to outdoor air temperature," Energy, Elsevier, vol. 86(C), pages 247-256.
    9. van der Veen, Reinier A.C. & Kasmire, Julia, 2015. "Combined heat and power in Dutch greenhouses: A case study of technology diffusion," Energy Policy, Elsevier, vol. 87(C), pages 8-16.
    10. Smith, Amanda D. & Mago, Pedro J., 2014. "Effects of load-following operational methods on combined heat and power system efficiency," Applied Energy, Elsevier, vol. 115(C), pages 337-351.
    11. Pirouti, Marouf & Bagdanavicius, Audrius & Ekanayake, Janaka & Wu, Jianzhong & Jenkins, Nick, 2013. "Energy consumption and economic analyses of a district heating network," Energy, Elsevier, vol. 57(C), pages 149-159.
    12. Zhang, Hongsheng & Zhao, Hongbin & Li, Zhenlin, 2016. "Thermodynamic performance study on solar-assisted absorption heat pump cogeneration system in the coal-fired power plant," Energy, Elsevier, vol. 116(P1), pages 942-955.
    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. Heng Chen & Jidong Xu & Yao Xiao & Zhen Qi & Gang Xu & Yongping Yang, 2018. "An Improved Heating System with Waste Pressure Utilization in a Combined Heat and Power Unit," Energies, MDPI, vol. 11(6), pages 1-20, June.
    2. Heng Chen & Zhen Qi & Qiao Chen & Yunyun Wu & Gang Xu & Yongping Yang, 2018. "Modified High Back-Pressure Heating System Integrated with Raw Coal Pre-Drying in Combined Heat and Power Unit," Energies, MDPI, vol. 11(9), pages 1-16, September.
    3. Zhang, Youjun & Xiong, Nian & Ge, Zhihua & Zhang, Yichen & Hao, Junhong & Yang, Zhiping, 2020. "A novel cascade heating system for waste heat recovery in the combined heat and power plant integrating with the steam jet pump," Applied Energy, Elsevier, vol. 278(C).
    4. Zhang, Youjun & Hao, Junhong & Ge, Zhihua & Zhang, Fuxiang & Du, Xiaoze, 2021. "Optimal clean heating mode of the integrated electricity and heat energy system considering the comprehensive energy-carbon price," Energy, Elsevier, vol. 231(C).
    5. Shifei Zhao & Weishu Wang & Zhihua Ge, 2020. "Energy and Exergy Evaluations of a Combined Heat and Power System with a High Back-Pressure Turbine under Full Operating Conditions," Energies, MDPI, vol. 13(17), pages 1-18, August.

    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. Zhang, Youjun & Xiong, Nian & Ge, Zhihua & Zhang, Yichen & Hao, Junhong & Yang, Zhiping, 2020. "A novel cascade heating system for waste heat recovery in the combined heat and power plant integrating with the steam jet pump," Applied Energy, Elsevier, vol. 278(C).
    2. Colmenar-Santos, Antonio & Rosales-Asensio, Enrique & Borge-Diez, David & Collado-Fernández, Eduardo, 2016. "Evaluation of the cost of using power plant reject heat in low-temperature district heating and cooling networks," Applied Energy, Elsevier, vol. 162(C), pages 892-907.
    3. Baldvinsson, Ivar & Nakata, Toshihiko, 2014. "A comparative exergy and exergoeconomic analysis of a residential heat supply system paradigm of Japan and local source based district heating system using SPECO (specific exergy cost) method," Energy, Elsevier, vol. 74(C), pages 537-554.
    4. Golmohamadi, Hessam & Larsen, Kim Guldstrand & Jensen, Peter Gjøl & Hasrat, Imran Riaz, 2022. "Integration of flexibility potentials of district heating systems into electricity markets: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 159(C).
    5. Lake, Andrew & Rezaie, Behanz & Beyerlein, Steven, 2017. "Review of district heating and cooling systems for a sustainable future," Renewable and Sustainable Energy Reviews, Elsevier, vol. 67(C), pages 417-425.
    6. Welsch, Bastian & Göllner-Völker, Laura & Schulte, Daniel O. & Bär, Kristian & Sass, Ingo & Schebek, Liselotte, 2018. "Environmental and economic assessment of borehole thermal energy storage in district heating systems," Applied Energy, Elsevier, vol. 216(C), pages 73-90.
    7. Mazhar, Abdur Rehman & Liu, Shuli & Shukla, Ashish, 2018. "A state of art review on the district heating systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 96(C), pages 420-439.
    8. Sayegh, M.A. & Danielewicz, J. & Nannou, T. & Miniewicz, M. & Jadwiszczak, P. & Piekarska, K. & Jouhara, H., 2017. "Trends of European research and development in district heating technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 68(P2), pages 1183-1192.
    9. Soheil Kavian & Mohsen Saffari Pour & Ali Hakkaki-Fard, 2019. "Optimized Design of the District Heating System by Considering the Techno-Economic Aspects and Future Weather Projection," Energies, MDPI, vol. 12(9), pages 1-30, May.
    10. Fritz, M. & Plötz, P. & Schebek, L., 2022. "A technical and economical comparison of excess heat transport technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 168(C).
    11. Gadd, Henrik & Werner, Sven, 2014. "Achieving low return temperatures from district heating substations," Applied Energy, Elsevier, vol. 136(C), pages 59-67.
    12. Dorotić, Hrvoje & Ban, Marko & Pukšec, Tomislav & Duić, Neven, 2020. "Impact of wind penetration in electricity markets on optimal power-to-heat capacities in a local district heating system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 132(C).
    13. Xu, Xin & You, Shijun & Zheng, Xuejing & Li, Han, 2014. "A survey of district heating systems in the heating regions of northern China," Energy, Elsevier, vol. 77(C), pages 909-925.
    14. Shabanpour-Haghighi, Amin & Seifi, Ali Reza, 2015. "Multi-objective operation management of a multi-carrier energy system," Energy, Elsevier, vol. 88(C), pages 430-442.
    15. Giuseppe Pinto & Elnaz Abdollahi & Alfonso Capozzoli & Laura Savoldi & Risto Lahdelma, 2019. "Optimization and Multicriteria Evaluation of Carbon-neutral Technologies for District Heating," Energies, MDPI, vol. 12(9), pages 1-19, April.
    16. Zhang, Youjun & Hao, Junhong & Ge, Zhihua & Zhang, Fuxiang & Du, Xiaoze, 2021. "Optimal clean heating mode of the integrated electricity and heat energy system considering the comprehensive energy-carbon price," Energy, Elsevier, vol. 231(C).
    17. Mohammadi, Mohammad & Noorollahi, Younes & Mohammadi-ivatloo, Behnam & Yousefi, Hossein, 2017. "Energy hub: From a model to a concept – A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 1512-1527.
    18. Bartolozzi, Irene & Rizzi, Francesco & Frey, Marco, 2017. "Are district heating systems and renewable energy sources always an environmental win-win solution? A life cycle assessment case study in Tuscany, Italy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 408-420.
    19. Alessandro Guzzini & Marco Pellegrini & Edoardo Pelliconi & Cesare Saccani, 2020. "Low Temperature District Heating: An Expert Opinion Survey," Energies, MDPI, vol. 13(4), pages 1-34, February.
    20. Guelpa, Elisa & Marincioni, Ludovica & Verda, Vittorio, 2019. "Towards 4th generation district heating: Prediction of building thermal load for optimal management," Energy, Elsevier, vol. 171(C), pages 510-522.

    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:1:p:119-:d:125318. 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.