IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v236y2021ics0360544221017564.html
   My bibliography  Save this article

Thermodynamic analysis and high-dimensional evolutionary many-objective optimization of dual loop organic Rankine cycle (DORC) for CNG engine waste heat recovery

Author

Listed:
  • Ping, Xu
  • Yao, Baofeng
  • Zhang, Hongguang
  • Yang, Fubin

Abstract

The complex and changeable working conditions of compressed natural gas (CNG) engines have brought great challenges to the efficient recovery of waste heat energy. The dual loop organic Rankine cycle (DORC) system can effectively recover and utilize CNG engine waste heat due to its structural advantages. Determining the nonlinear variations between operating parameters and thermodynamic performance serves as the basis for obtaining the thermodynamic performance limits of the DORC system. However, traditional analysis methods have obvious limitations in this area. Based on the bilinear interpolation algorithm, this paper comprehensively analyzes and evaluates the nonlinear and strong coupling characteristics between operating parameters and net power output, thermal efficiency, and exergy destruction. In addition, the comprehensive thermodynamic performance limits of the DORC system have a critical effect on its engineering application yet have not been thoroughly and comprehensively optimized. Therefore, this paper proposes an equilibrium-based thermodynamic high-dimensional evolutionary many-objective optimization (EMO) method for the DORC system. The optimal thermal efficiency, net power output, and total exergy destruction of the DORC system reached 37.11 kW, 14.27%, and 104.58 kW, respectively. Based on the optimization results under equilibrium and unequilibrium weight, the dominant relationship between the different thermodynamic performances of the DORC system is then analyzed. This research can provide a direct reference for analyzing and optimizing the comprehensive thermodynamic performance of the DORC system.

Suggested Citation

  • Ping, Xu & Yao, Baofeng & Zhang, Hongguang & Yang, Fubin, 2021. "Thermodynamic analysis and high-dimensional evolutionary many-objective optimization of dual loop organic Rankine cycle (DORC) for CNG engine waste heat recovery," Energy, Elsevier, vol. 236(C).
    • Handle: RePEc:eee:energy:v:236:y:2021:i:c:s0360544221017564
    DOI: 10.1016/j.energy.2021.121508
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544221017564
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2021.121508?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, Enhua & Yu, Zhibin & Zhang, Hongguang & Yang, Fubin, 2017. "A regenerative supercritical-subcritical dual-loop organic Rankine cycle system for energy recovery from the waste heat of internal combustion engines," Applied Energy, Elsevier, vol. 190(C), pages 574-590.
    2. Wang, E.H. & Zhang, H.G. & Zhao, Y. & Fan, B.Y. & Wu, Y.T. & Mu, Q.H., 2012. "Performance analysis of a novel system combining a dual loop organic Rankine cycle (ORC) with a gasoline engine," Energy, Elsevier, vol. 43(1), pages 385-395.
    3. Lu, Yiji & Roskilly, Anthony Paul & Tang, Ke & Wang, Yaodong & Jiang, Long & Yuan, Ye & Wang, Liwei, 2017. "Investigation and performance study of a dual-source chemisorption power generation cycle using scroll expander," Applied Energy, Elsevier, vol. 204(C), pages 979-993.
    4. Prasad, Rajesh Kumar & Agarwal, Avinash Kumar, 2021. "Development and comparative experimental investigations of laser plasma and spark plasma ignited hydrogen enriched compressed natural gas fueled engine," Energy, Elsevier, vol. 216(C).
    5. Sun, Qingxuan & Wang, Yaxiong & Cheng, Ziyang & Wang, Jiangfeng & Zhao, Pan & Dai, Yiping, 2020. "Thermodynamic and economic optimization of a double-pressure organic Rankine cycle driven by low-temperature heat source," Renewable Energy, Elsevier, vol. 147(P3), pages 2822-2832.
    6. Emadi, Mohammad Ali & Chitgar, Nazanin & Oyewunmi, Oyeniyi A. & Markides, Christos N., 2020. "Working-fluid selection and thermoeconomic optimisation of a combined cycle cogeneration dual-loop organic Rankine cycle (ORC) system for solid oxide fuel cell (SOFC) waste-heat recovery," Applied Energy, Elsevier, vol. 261(C).
    7. Wang, Zhiqi & Hu, Yanhua & Xia, Xiaoxia & Zuo, Qingsong & Zhao, Bin & Li, Zhixiong, 2020. "Thermo-economic selection criteria of working fluid used in dual-loop ORC for engine waste heat recovery by multi-objective optimization," Energy, Elsevier, vol. 197(C).
    8. Li, Xiaoya & Xu, Bin & Tian, Hua & Shu, Gequn, 2021. "Towards a novel holistic design of organic Rankine cycle (ORC) systems operating under heat source fluctuations and intermittency," Renewable and Sustainable Energy Reviews, Elsevier, vol. 147(C).
    9. Yağlı, Hüseyin & Koç, Yıldız & Koç, Ali & Görgülü, Adnan & Tandiroğlu, Ahmet, 2016. "Parametric optimization and exergetic analysis comparison of subcritical and supercritical organic Rankine cycle (ORC) for biogas fuelled combined heat and power (CHP) engine exhaust gas waste heat," Energy, Elsevier, vol. 111(C), pages 923-932.
    10. Song, Jian & Gu, Chun-wei, 2015. "Performance analysis of a dual-loop organic Rankine cycle (ORC) system with wet steam expansion for engine waste heat recovery," Applied Energy, Elsevier, vol. 156(C), pages 280-289.
    11. Liu, Peng & Shu, Gequn & Tian, Hua & Wang, Xuan & Yu, Zhigang, 2018. "Alkanes based two-stage expansion with interheating Organic Rankine cycle for multi-waste heat recovery of truck diesel engine," Energy, Elsevier, vol. 147(C), pages 337-350.
    12. Braimakis, Konstantinos & Karellas, Sotirios, 2018. "Exergetic optimization of double stage Organic Rankine Cycle (ORC)," Energy, Elsevier, vol. 149(C), pages 296-313.
    13. Yang, Fubin & Zhang, Hongguang & Yu, Zhibin & Wang, Enhua & Meng, Fanxiao & Liu, Hongda & Wang, Jingfu, 2017. "Parametric optimization and heat transfer analysis of a dual loop ORC (organic Rankine cycle) system for CNG engine waste heat recovery," Energy, Elsevier, vol. 118(C), pages 753-775.
    14. Baofeng Yao & Fubin Yang & Hongguang Zhang & Enhua Wang & Kai Yang, 2014. "Analyzing the Performance of a Dual Loop Organic Rankine Cycle System for Waste Heat Recovery of a Heavy-Duty Compressed Natural Gas Engine," Energies, MDPI, vol. 7(11), pages 1-22, November.
    15. Feng, Yongqiang & Zhang, Yaning & Li, Bingxi & Yang, Jinfu & Shi, Yang, 2015. "Sensitivity analysis and thermoeconomic comparison of ORCs (organic Rankine cycles) for low temperature waste heat recovery," Energy, Elsevier, vol. 82(C), pages 664-677.
    16. Nikolaisen, Monika & Andresen, Trond, 2021. "System impact of heat exchanger pressure loss in ORCs for smelter off-gas waste heat recovery," Energy, Elsevier, vol. 215(PB).
    17. Yang, Fubin & Cho, Heejin & Zhang, Hongguang & Zhang, Jian, 2017. "Thermoeconomic multi-objective optimization of a dual loop organic Rankine cycle (ORC) for CNG engine waste heat recovery," Applied Energy, Elsevier, vol. 205(C), pages 1100-1118.
    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. Wang, Chongyao & Wang, Xin & Wang, Huaiyu & Xu, Yonghong & Ge, Yunshan & Tan, Jianwei & Hao, Lijun & Wang, Yachao & Zhang, Mengzhu & Li, Ruonan, 2024. "Co-optimizing NOx emission and power output of a natural gas engine-ORC combined system through neural networks and genetic algorithms," Energy, Elsevier, vol. 289(C).
    2. Ping, Xu & Yang, Fubin & Zhang, Hongguang & Xing, Chengda & Yu, Mingzhe & Wang, Yan, 2023. "Investigation and multi-objective optimization of vehicle engine-organic Rankine cycle (ORC) combined system in different driving conditions," Energy, Elsevier, vol. 263(PB).
    3. Ping, Xu & Yang, Fubin & Zhang, Hongguang & Xing, Chengda & Pan, Yachao & Zhang, Wujie & Wang, Yan, 2023. "Nonlinear modeling and multi-scale influence characteristics analysis of organic Rankine cycle (ORC) system considering variable driving cycles," Energy, Elsevier, vol. 265(C).
    4. Ping, Xu & Yang, Fubin & Zhang, Hongguang & Xing, Chengda & Zhang, Wujie & Wang, Yan, 2022. "Evaluation of hybrid forecasting methods for organic Rankine cycle: Unsupervised learning-based outlier removal and partial mutual information-based feature selection," Applied Energy, Elsevier, vol. 311(C).
    5. Ping, Xu & Yang, Fubin & Zhang, Hongguang & Zhang, Jian & Xing, Chengda & Yan, Yinlian & Yang, Anren & Wang, Yan, 2023. "Information theory-based dynamic feature capture and global multi-objective optimization approach for organic Rankine cycle (ORC) considering road environment," Applied Energy, Elsevier, vol. 348(C).
    6. Ping, Xu & Yang, Fubin & Zhang, Hongguang & Xing, Chengda & Zhang, Wujie & Wang, Yan & Yao, Baofeng, 2023. "Dynamic response assessment and multi-objective optimization of organic Rankine cycle (ORC) under vehicle driving cycle conditions," Energy, Elsevier, vol. 263(PA).
    7. Ping, Xu & Yang, Fubin & Zhang, Hongguang & Xing, Chengda & Yang, Anren & Yan, Yinlian & Pan, Yachao & Wang, Yan, 2023. "Ensemble of self-organizing adaptive maps and dynamic multi-objective optimization for organic Rankine cycle (ORC) under transportation and driving environment," Energy, Elsevier, vol. 275(C).
    8. Yu, Mingzhe & Yang, Fubin & Zhang, Hongguang & Yan, Yinlian & Ping, Xu & Pan, Yachao & Xing, Chengda & Yang, Anren, 2024. "Thermoeconomic performance of supercritical carbon dioxide Brayton cycle systems for CNG engine waste heat recovery," Energy, Elsevier, vol. 289(C).
    9. Xu Ping & Baofeng Yao & Hongguang Zhang & Hongzhi Zhang & Jia Liang & Meng Yuan & Kai Niu & Yan Wang, 2022. "Comprehensive Performance Assessment of Dual Loop Organic Rankine Cycle (DORC) for CNG Engine: Energy, Thermoeconomic and Environment," Energies, MDPI, vol. 15(21), pages 1-28, October.
    10. Feng, Yong-qiang & Wang, Yu & Yao, Lin & Xu, Jing-wei & Zhang, Fei-yang & He, Zhi-xia & Wang, Qian & Ma, Jian-long, 2023. "Parametric analysis and thermal-economical optimization of a parallel dual pressure evaporation and two stage regenerative organic Rankine cycle using mixture working fluids," Energy, Elsevier, vol. 263(PA).
    11. Long Lyu & Wu Chen & Ankang Kan & Yuan Zhang & Song Xue & Jingbin Zeng, 2022. "Investigation of a Dual-Loop ORC for the Waste Heat Recovery of a Marine Main Engine," Energies, MDPI, vol. 15(22), pages 1-22, November.
    12. Wang, Shiqi & Yuan, Zhongyuan & Yu, Nanyang, 2023. "Thermo-economic optimization of organic Rankine cycle with steam-water dual heat source," Energy, Elsevier, vol. 274(C).
    13. Ping, Xu & Yang, Fubin & Zhang, Hongguang & Xing, Chengda & Wang, Chongyao & Zhang, Wujie & Wang, Yan, 2022. "Energy, economic and environmental dynamic response characteristics of organic Rankine cycle (ORC) system under different driving cycles," Energy, Elsevier, vol. 246(C).
    14. Wang, Chenfang & Liu, Shihao & Zhan, Shuming & Ou, Mengmeng & Wei, Jiangjun & Cheng, Xiaozhang & Zhuge, Weilin & Zhang, Yangjun, 2024. "Transcritical dual-loop Rankine cycle waste heat recovery system for China VI emission standards natural gas engine," Energy, Elsevier, vol. 292(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. Ping, Xu & Yang, Fubin & Zhang, Hongguang & Xing, Chengda & Zhang, Wujie & Wang, Yan & Yao, Baofeng, 2023. "Dynamic response assessment and multi-objective optimization of organic Rankine cycle (ORC) under vehicle driving cycle conditions," Energy, Elsevier, vol. 263(PA).
    2. Xia, Xiaoxia & Liu, Zhipeng & Wang, Zhiqi & Sun, Tong & Zhang, Hualong & Zhang, Sifeng, 2023. "Thermo-economic-environmental optimization design of dual-loop organic Rankine cycle under fluctuating heat source temperature," Energy, Elsevier, vol. 264(C).
    3. Baofeng Yao & Xu Ping & Hongguang Zhang, 2021. "Dynamic Response Characteristics Analysis and Energy, Exergy, and Economic (3E) Evaluation of Dual Loop Organic Rankine Cycle (DORC) for CNG Engine Waste Heat Recovery," Energies, MDPI, vol. 14(19), pages 1-32, September.
    4. Guillermo Valencia & Armando Fontalvo & Yulineth Cárdenas & Jorge Duarte & Cesar Isaza, 2019. "Energy and Exergy Analysis of Different Exhaust Waste Heat Recovery Systems for Natural Gas Engine Based on ORC," Energies, MDPI, vol. 12(12), pages 1-22, June.
    5. Alklaibi, A.M. & Lior, N., 2021. "Waste heat utilization from internal combustion engines for power augmentation and refrigeration," Renewable and Sustainable Energy Reviews, Elsevier, vol. 152(C).
    6. Yıldız Koç & Hüseyin Yağlı & Ali Koç, 2019. "Exergy Analysis and Performance Improvement of a Subcritical/Supercritical Organic Rankine Cycle (ORC) for Exhaust Gas Waste Heat Recovery in a Biogas Fuelled Combined Heat and Power (CHP) Engine Thro," Energies, MDPI, vol. 12(4), pages 1-22, February.
    7. Shuozhuo Hu & Zhen Yang & Jian Li & Yuanyuan Duan, 2021. "A Review of Multi-Objective Optimization in Organic Rankine Cycle (ORC) System Design," Energies, MDPI, vol. 14(20), pages 1-36, October.
    8. Wang, Zhiqi & Hu, Yanhua & Xia, Xiaoxia & Zuo, Qingsong & Zhao, Bin & Li, Zhixiong, 2020. "Thermo-economic selection criteria of working fluid used in dual-loop ORC for engine waste heat recovery by multi-objective optimization," Energy, Elsevier, vol. 197(C).
    9. Hoang, Anh Tuan, 2018. "Waste heat recovery from diesel engines based on Organic Rankine Cycle," Applied Energy, Elsevier, vol. 231(C), pages 138-166.
    10. Wang, Shiqi & Yuan, Zhongyuan & Yu, Nanyang, 2023. "Thermo-economic optimization of organic Rankine cycle with steam-water dual heat source," Energy, Elsevier, vol. 274(C).
    11. Yu, Xiaoli & Li, Zhi & Lu, Yiji & Huang, Rui & Roskilly, Anthony Paul, 2019. "Investigation of organic Rankine cycle integrated with double latent thermal energy storage for engine waste heat recovery," Energy, Elsevier, vol. 170(C), pages 1098-1112.
    12. Alshammari, Fuhaid & Pesyridis, Apostolos & Karvountzis-Kontakiotis, Apostolos & Franchetti, Ben & Pesmazoglou, Yagos, 2018. "Experimental study of a small scale organic Rankine cycle waste heat recovery system for a heavy duty diesel engine with focus on the radial inflow turbine expander performance," Applied Energy, Elsevier, vol. 215(C), pages 543-555.
    13. Yang, Fubin & Cho, Heejin & Zhang, Hongguang & Zhang, Jian, 2017. "Thermoeconomic multi-objective optimization of a dual loop organic Rankine cycle (ORC) for CNG engine waste heat recovery," Applied Energy, Elsevier, vol. 205(C), pages 1100-1118.
    14. Hu, Shuozhuo & Li, Jian & Yang, Fubin & Yang, Zhen & Duan, Yuanyuan, 2020. "Multi-objective optimization of organic Rankine cycle using hydrofluorolefins (HFOs) based on different target preferences," Energy, Elsevier, vol. 203(C).
    15. Amin Mahmoudzadeh Andwari & Apostolos Pesyridis & Vahid Esfahanian & Ali Salavati-Zadeh & Alireza Hajialimohammadi, 2019. "Modelling and Evaluation of Waste Heat Recovery Systems in the Case of a Heavy-Duty Diesel Engine," Energies, MDPI, vol. 12(7), pages 1-26, April.
    16. Song, Chongzhi & Gu, Mingyan & Miao, Zheng & Liu, Chao & Xu, Jinliang, 2019. "Effect of fluid dryness and critical temperature on trans-critical organic Rankine cycle," Energy, Elsevier, vol. 174(C), pages 97-109.
    17. Chatzopoulou, Maria Anna & Markides, Christos N., 2018. "Thermodynamic optimisation of a high-electrical efficiency integrated internal combustion engine – Organic Rankine cycle combined heat and power system," Applied Energy, Elsevier, vol. 226(C), pages 1229-1251.
    18. Chen, Tianyu & Shu, Gequn & Tian, Hua & Zhao, Tingting & Zhang, Hongfei & Zhang, Zhao, 2020. "Performance evaluation of metal-foam baffle exhaust heat exchanger for waste heat recovery," Applied Energy, Elsevier, vol. 266(C).
    19. Yuhao Zhou & Jiongming Ruan & Guotong Hong & Zheng Miao, 2022. "Dynamic Modeling and Comparison Study of Control Strategies of a Small-Scale Organic Rankine Cycle," Energies, MDPI, vol. 15(15), pages 1-21, July.
    20. Athanasios G. Vallis & Theodoros C. Zannis & Elias A. Yfantis & Efthimios G. Pariotis & John S. Katsanis & Konstantina D. Asimakopoulou, 2020. "Thermo-Economic Study of a Regenerative Dual-Loop ORC System Coupled to the Main Diesel Engines of a General Support Vessel," Energies, MDPI, vol. 13(11), pages 1-45, June.

    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:236:y:2021:i:c:s0360544221017564. 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.