IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v180y2019icp934-945.html
   My bibliography  Save this article

Performance of flue gas quench and its influence on biomass fueled CHP

Author

Listed:
  • Li, Hailong
  • Wang, Bin
  • Yan, Jinying
  • Salman, Chaudhary Awais
  • Thorin, Eva
  • Schwede, Sebastian

Abstract

For biomass/waste fueled power plants, stricter regulations require a further reduction of the negative impacts on the environment caused by the release of pollutants and withdrawal of fresh water externally. Flue gas quench (FGQ) is playing an important role in biomass or waste fueled combined heat and power (CHP) plants, as it can link the flue gas (FG) cleaning, energy recovery and wastewater treatment. Enhancing water evaporation can benefit the concentrating of pollutant in the quench water; however, when FG condenser (FGC) is not in use, it results in a large consumption of fresh water. In order to deeply understand the operation of FGQ, a mathematic model was developed and validated against the measurements. Based on simulation results key parameters affecting FGQ have been identified, such as the flow rate and temperature of recycling water and the moisture content of FG. A guideline about how to reduce the discharge of wastewater to the external and the withdrawal of external water can be proposed. The mathematic model was also implemented into an ASPEN Plus model about a CHP plant to assess the impacts of FGQ on CHP. Results show that when the FGC was running, increasing the flow rate and decreasing the temperature of recycling water can result in a lower total energy efficiency.

Suggested Citation

  • Li, Hailong & Wang, Bin & Yan, Jinying & Salman, Chaudhary Awais & Thorin, Eva & Schwede, Sebastian, 2019. "Performance of flue gas quench and its influence on biomass fueled CHP," Energy, Elsevier, vol. 180(C), pages 934-945.
    • Handle: RePEc:eee:energy:v:180:y:2019:i:c:p:934-945
    DOI: 10.1016/j.energy.2019.05.078
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544219309582
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2019.05.078?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. Wang, Dexin & Bao, Ainan & Kunc, Walter & Liss, William, 2012. "Coal power plant flue gas waste heat and water recovery," Applied Energy, Elsevier, vol. 91(1), pages 341-348.
    2. Uris, María & Linares, José Ignacio & Arenas, Eva, 2017. "Feasibility assessment of an Organic Rankine Cycle (ORC) cogeneration plant (CHP/CCHP) fueled by biomass for a district network in mainland Spain," Energy, Elsevier, vol. 133(C), pages 969-985.
    3. Bujak, Janusz Wojciech, 2015. "Heat recovery from thermal treatment of medical waste," Energy, Elsevier, vol. 90(P2), pages 1721-1732.
    4. Zheng, Yingying & Jenkins, Bryan M. & Kornbluth, Kurt & Kendall, Alissa & Træholt, Chresten, 2018. "Optimal design and operating strategies for a biomass-fueled combined heat and power system with energy storage," Energy, Elsevier, vol. 155(C), pages 620-629.
    5. Feng, Yupeng & Li, Yuzhong & Cui, Lin & Yan, Lifan & Zhao, Cheng & Dong, Yong, 2019. "Cold condensing scrubbing method for fine particle reduction from saturated flue gas," Energy, Elsevier, vol. 171(C), pages 1193-1205.
    6. Nami, H. & Arabkoohsar, A., 2019. "Improving the power share of waste-driven CHP plants via parallelization with a small-scale Rankine cycle, a thermodynamic analysis," Energy, Elsevier, vol. 171(C), pages 27-36.
    7. Córdoba, Patricia & Ayora, Carlos & Moreno, Natalia & Font, Oriol & Izquierdo, Maria & Querol, Xavier, 2013. "Influence of an aluminium additive in aqueous and solid speciation of elements in flue gas desulphurisation (FGD) system," Energy, Elsevier, vol. 50(C), pages 438-444.
    8. Cui, Haijiao & Li, Nianping & Wang, Xinlei & Peng, Jinqing & Li, Yuan & Wu, Zhibin, 2017. "Optimization of reversibly used cooling tower with downward spraying," Energy, Elsevier, vol. 127(C), pages 30-43.
    9. Niksiar, Arezou & Rahimi, Amir, 2009. "Energy and exergy analysis for cocurrent gas spray cooling systems based on the results of mathematical modeling and simulation," Energy, Elsevier, vol. 34(1), pages 14-21.
    10. Zhao, Yi & Han, Yinghui & Guo, Tianxiang & Ma, Tianzhong, 2014. "Simultaneous removal of SO2, NO and Hg0 from flue gas by ferrate (VI) solution," Energy, Elsevier, vol. 67(C), pages 652-658.
    11. Qi, Xiaoni & Liu, Yongqi & Guo, Qianjian & Yu, Jie & Yu, Shanshan, 2016. "Performance prediction of seawater shower cooling towers," Energy, Elsevier, vol. 97(C), pages 435-443.
    12. Li, Chunxi & Jia, Zhennan & Ye, Xuemin & Yin, Shuie, 2018. "Simulation on deacidification performance of waste incinerator flue gas by rotating spray drying," Energy, Elsevier, vol. 152(C), pages 652-665.
    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. Hui Huang & Xiaoli Yan & Shizhong Song & Yingying Du & Yanlei Guo, 2020. "An Economic and Technology Analysis of a New High-Efficiency Biomass Cogeneration System: A Case Study in DC County, China," Energies, MDPI, vol. 13(15), pages 1-21, August.
    2. Zhou, Yuekuan & Zheng, Siqian & Hensen, Jan L.M., 2024. "Machine learning-based digital district heating/cooling with renewable integrations and advanced low-carbon transition," Renewable and Sustainable Energy Reviews, Elsevier, vol. 199(C).

    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. Qingqing Liu & Nianping Li & Yongga A & Jiaojiao Duan & Wenyun Yan, 2021. "The Evaluation of the Corrosion Rates of Alloys Applied to the Heating Tower Heat Pump (HTHP) by Machine Learning," Energies, MDPI, vol. 14(7), pages 1-13, April.
    2. Cui, Haijiao & Li, Nianping & Peng, Jinqing & Yin, Rongxin & Li, Jingming & Wu, Zhibin, 2018. "Investigation on the thermal performance of a novel spray tower with upward spraying and downward gas flow," Applied Energy, Elsevier, vol. 231(C), pages 12-21.
    3. Li, Zhaohao & Mi, Dabin & Zhang, Heng & Chen, Haiping & Liu, Zhenghao & Gao, Dan, 2021. "Experimental study on synergistic capture of fine particles and waste heat from flue gas using membrane condenser," Energy, Elsevier, vol. 217(C).
    4. Cui, Haijiao & Li, Nianping & Wang, Xinlei & Peng, Jinqing & Li, Yuan & Wu, Zhibin, 2017. "Optimization of reversibly used cooling tower with downward spraying," Energy, Elsevier, vol. 127(C), pages 30-43.
    5. Xin, Liyong & Liu, Chao & Tan, Luxi & Xu, Xiaoxiao & Li, Qibin & Huo, Erguang & Sun, Kuan, 2021. "Thermal stability and pyrolysis products of HFO-1234yf as an environment-friendly working fluid for Organic Rankine Cycle," Energy, Elsevier, vol. 228(C).
    6. Ayoub, Ali & Gjorgiev, Blaže & Sansavini, Giovanni, 2018. "Cooling towers performance in a changing climate: Techno-economic modeling and design optimization," Energy, Elsevier, vol. 160(C), pages 1133-1143.
    7. Liang, Ying & Cai, Lei & Guan, Yanwen & Liu, Wenbin & Xiang, Yanlei & Li, Juan & He, Tianzhi, 2020. "Numerical study on an original oxy-fuel combustion power plant with efficient utilization of flue gas waste heat," Energy, Elsevier, vol. 193(C).
    8. Bujak, Janusz & Sitarz, Piotr & Jasiewicz, Paulina, 2018. "Fuel consumption in the thermal treatment of low-calorific industrial food processing waste," Applied Energy, Elsevier, vol. 221(C), pages 139-147.
    9. Sadi, M. & Arabkoohsar, A., 2019. "Exergoeconomic analysis of a combined solar-waste driven power plant," Renewable Energy, Elsevier, vol. 141(C), pages 883-893.
    10. Ma, Youfu & Wang, Zirui & Lu, Junfu & Yang, Lijuan, 2018. "Techno-economic analysis of a novel hot air recirculation process for exhaust heat recovery from a 600 MW brown-coal-fired boiler," Energy, Elsevier, vol. 152(C), pages 348-357.
    11. Mika Fabricius & Daniel Øland Tarp & Thomas Wehl Rasmussen & Ahmad Arabkoohsar, 2020. "Utilization of Excess Production of Waste-Fired CHP Plants for District Cooling Supply, an Effective Solution for a Serious Challenge," Energies, MDPI, vol. 13(13), pages 1-21, June.
    12. Liqiang Xu & Qiufang Cui & Te Tu & Shuo Liu & Long Ji & Shuiping Yan, 2020. "Waste heat recovery from the stripped gas in carbon capture process by membrane technology: Hydrophobic and hydrophilic organic membrane cases," Greenhouse Gases: Science and Technology, Blackwell Publishing, vol. 10(2), pages 421-435, April.
    13. Si, Tong & Wang, Chunbo & Liu, Ruiqi & Guo, Yusheng & Yue, Shuang & Ren, Yujie, 2020. "Multi-criteria comprehensive energy efficiency assessment based on fuzzy-AHP method: A case study of post-treatment technologies for coal-fired units," Energy, Elsevier, vol. 200(C).
    14. Golpîra, Hêriş, 2020. "Smart Energy-Aware Manufacturing Plant Scheduling under Uncertainty: A Risk-Based Multi-Objective Robust Optimization Approach," Energy, Elsevier, vol. 209(C).
    15. Hossein Nami & Amjad Anvari-Moghaddam & Ahmad Arabkoohsar & Amir Reza Razmi, 2020. "4E Analyses of a Hybrid Waste-Driven CHP–ORC Plant with Flue Gas Condensation," Sustainability, MDPI, vol. 12(22), pages 1-21, November.
    16. Georgios Giakoumakis & Dorothea Politi & Dimitrios Sidiras, 2021. "Medical Waste Treatment Technologies for Energy, Fuels, and Materials Production: A Review," Energies, MDPI, vol. 14(23), pages 1-30, December.
    17. Yıldız Koç, 2019. "Parametric Optimisation of an ORC in a Wood Chipboard Production Facility to Recover Waste Heat Produced from the Drying and Steam Production Process," Energies, MDPI, vol. 12(19), pages 1-22, September.
    18. Nami, Hossein & Anvari-Moghaddam, Amjad, 2020. "Small-scale CCHP systems for waste heat recovery from cement plants: Thermodynamic, sustainability and economic implications," Energy, Elsevier, vol. 192(C).
    19. Shi, Yao & Zhang, Zhiming & Xie, Lei & Wu, Xialai & Liu, Xueqin Amy & Lu, Shan & Su, Hongye, 2022. "Modified hierarchical strategy for transient performance improvement of the ORC based waste heat recovery system," Energy, Elsevier, vol. 261(PA).
    20. Shuangchen, Ma & Jin, Chai & Kunling, Jiao & Lan, Ma & Sijie, Zhu & Kai, Wu, 2017. "Environmental influence and countermeasures for high humidity flue gas discharging from power plants," Renewable and Sustainable Energy Reviews, Elsevier, vol. 73(C), pages 225-235.

    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:energy:v:180:y:2019:i:c:p:934-945. 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.journals.elsevier.com/energy .

    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.