IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v131y2017icp297-311.html
   My bibliography  Save this article

Performance enhancement of a small-scale organic Rankine cycle radial-inflow turbine through multi-objective optimization algorithm

Author

Listed:
  • Al Jubori, Ayad M.
  • Al-Dadah, Raya
  • Mahmoud, Saad

Abstract

An effective methodology that encompasses a mean-line design, three-dimensional CFD analysis and optimization and ORC system modelling of the small-scale ORC radial-inflow turbine is presented. Three-dimensional CFD analysis and a multi-objective optimization algorithm were achieved using ANSYS®17 CFX and Design Exploration based on 3D RANS with a k-omega SST turbulence model. The 3D optimization technique combines a design of the experiment, a response surface method and multi-objective method. The optimization of the blade geometry was performed using 20 design points for both nozzle and rotor blades, based on the B-splines’ technique to represent the blade angles and thickness distribution. The number of blades and rotor tip clearance were included as design parameters. The isentropic efficiency and power output were introduced as an optimization objective with two organic working fluids, namely isopentane and R245fa. The results of the optimized geometry with R245fa showed that the turbine's and cycle's thermal efficiencies were higher by 13.95% and 17.38% respectively, compared with a base-line design with a maximum power output of 5.415 kW. Such methodology is proved to be effective as it allows the enhancing of the turbine's and the ORC's system performance throughout to find the optimum blade shape of the turbine stage.

Suggested Citation

  • Al Jubori, Ayad M. & Al-Dadah, Raya & Mahmoud, Saad, 2017. "Performance enhancement of a small-scale organic Rankine cycle radial-inflow turbine through multi-objective optimization algorithm," Energy, Elsevier, vol. 131(C), pages 297-311.
    • Handle: RePEc:eee:energy:v:131:y:2017:i:c:p:297-311
    DOI: 10.1016/j.energy.2017.05.022
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544217307764
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2017.05.022?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. Nithesh, K.G. & Chatterjee, Dhiman, 2016. "Numerical prediction of the performance of radial inflow turbine designed for ocean thermal energy conversion system," Applied Energy, Elsevier, vol. 167(C), pages 1-16.
    2. Cho, Soo-Yong & Cho, Chong-Hyun & Ahn, Kook-Young & Lee, Young Duk, 2014. "A study of the optimal operating conditions in the organic Rankine cycle using a turbo-expander for fluctuations of the available thermal energy," Energy, Elsevier, vol. 64(C), pages 900-911.
    3. Hajabdollahi, Hassan & Ganjehkaviri, Abdolsaeid & Mohd Jaafar, Mohammad Nazri, 2015. "Thermo-economic optimization of RSORC (regenerative solar organic Rankine cycle) considering hourly analysis," Energy, Elsevier, vol. 87(C), pages 369-380.
    4. Sadeghi, Mohsen & Nemati, Arash & ghavimi, Alireza & Yari, Mortaza, 2016. "Thermodynamic analysis and multi-objective optimization of various ORC (organic Rankine cycle) configurations using zeotropic mixtures," Energy, Elsevier, vol. 109(C), pages 791-802.
    5. Maraver, Daniel & Royo, Javier & Lemort, Vincent & Quoilin, Sylvain, 2014. "Systematic optimization of subcritical and transcritical organic Rankine cycles (ORCs) constrained by technical parameters in multiple applications," Applied Energy, Elsevier, vol. 117(C), pages 11-29.
    6. Pei, Gang & Li, Jing & Li, Yunzhu & Wang, Dongyue & Ji, Jie, 2011. "Construction and dynamic test of a small-scale organic rankine cycle," Energy, Elsevier, vol. 36(5), pages 3215-3223.
    7. Ge, Zhong & Wang, Hua & Wang, Hui-Tao & Wang, Jian-Jun & Li, Ming & Wu, Fu-Zhong & Zhang, Song-Yuan, 2015. "Main parameters optimization of regenerative organic Rankine cycle driven by low-temperature flue gas waste heat," Energy, Elsevier, vol. 93(P2), pages 1886-1895.
    8. Kang, Seok Hun, 2012. "Design and experimental study of ORC (organic Rankine cycle) and radial turbine using R245fa working fluid," Energy, Elsevier, vol. 41(1), pages 514-524.
    9. Liu, Qiang & Shen, Aijing & Duan, Yuanyuan, 2015. "Parametric optimization and performance analyses of geothermal organic Rankine cycles using R600a/R601a mixtures as working fluids," Applied Energy, Elsevier, vol. 148(C), pages 410-420.
    10. Tchanche, Bertrand F. & Lambrinos, Gr. & Frangoudakis, A. & Papadakis, G., 2011. "Low-grade heat conversion into power using organic Rankine cycles – A review of various applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(8), pages 3963-3979.
    11. Bao, Junjiang & Zhao, Li, 2013. "A review of working fluid and expander selections for organic Rankine cycle," Renewable and Sustainable Energy Reviews, Elsevier, vol. 24(C), pages 325-342.
    12. Sung, Taehong & Yun, Eunkoo & Kim, Hyun Dong & Yoon, Sang Youl & Choi, Bum Seog & Kim, Kuisoon & Kim, Jangmok & Jung, Yang Beom & Kim, Kyung Chun, 2016. "Performance characteristics of a 200-kW organic Rankine cycle system in a steel processing plant," Applied Energy, Elsevier, vol. 183(C), pages 623-635.
    13. Sauret, Emilie & Rowlands, Andrew S., 2011. "Candidate radial-inflow turbines and high-density working fluids for geothermal power systems," Energy, Elsevier, vol. 36(7), pages 4460-4467.
    14. Fiaschi, Daniele & Manfrida, Giampaolo & Maraschiello, Francesco, 2015. "Design and performance prediction of radial ORC turboexpanders," Applied Energy, Elsevier, vol. 138(C), pages 517-532.
    15. Feng, Yongqiang & Hung, TzuChen & Zhang, Yaning & Li, Bingxi & Yang, Jinfu & Shi, Yang, 2015. "Performance comparison of low-grade ORCs (organic Rankine cycles) using R245fa, pentane and their mixtures based on the thermoeconomic multi-objective optimization and decision makings," Energy, Elsevier, vol. 93(P2), pages 2018-2029.
    16. Rahbar, Kiyarash & Mahmoud, Saad & Al-Dadah, Raya K. & Moazami, Nima, 2015. "Parametric analysis and optimization of a small-scale radial turbine for Organic Rankine Cycle," Energy, Elsevier, vol. 83(C), pages 696-711.
    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. Maakala, Viljami & Järvinen, Mika & Vuorinen, Ville, 2018. "Optimizing the heat transfer performance of the recovery boiler superheaters using simulated annealing, surrogate modeling, and computational fluid dynamics," Energy, Elsevier, vol. 160(C), pages 361-377.
    2. Peng, Ningjian & Wang, Enhua & Wang, Wenli, 2023. "Design and analysis of a 1.5 kW single-stage partial-admission impulse turbine for low-grade energy utilization," Energy, Elsevier, vol. 268(C).
    3. Zhang, Weihao & Li, Lele & Li, Ya & Jiang, Chiju & Wang, Yufan, 2023. "A parameterized-loading driven inverse design and multi-objective coupling optimization method for turbine blade based on deep learning," Energy, Elsevier, vol. 281(C).
    4. Li, Jinxing & Liu, Tianyuan & Wang, Yuqi & Xie, Yonghui, 2022. "Integrated graph deep learning framework for flow field reconstruction and performance prediction of turbomachinery," Energy, Elsevier, vol. 254(PC).
    5. Sun, Hongchuang & Qin, Jiang & Hung, Tzu-Chen & Huang, Hongyan & Yan, Peigang & Lin, Chih-Hung, 2019. "Effect of flow losses in heat exchangers on the performance of organic Rankine cycle," Energy, Elsevier, vol. 172(C), pages 391-400.
    6. Wang, Yuqi & Liu, Tianyuan & Meng, Yue & Zhang, Di & Xie, Yonghui, 2022. "Integrated optimization for design and operation of turbomachinery in a solar-based Brayton cycle based on deep learning techniques," Energy, Elsevier, vol. 252(C).
    7. Kadhim, Hakim T. & Rona, Aldo, 2018. "Design optimization workflow and performance analysis for contoured endwalls of axial turbines," Energy, Elsevier, vol. 149(C), pages 875-889.
    8. Peng Song & Jinju Sun & Shengyuan Wang & Xuesong Wang, 2022. "Multipoint Design Optimization of a Radial-Outflow Turbine for Kalina Cycle System Considering Flexible Operating Conditions and Variable Ammonia-Water Mass Fraction," Energies, MDPI, vol. 15(22), pages 1-19, November.
    9. Sun, Hongchuang & Qin, Jiang & Hung, Tzu-Chen & Lin, Chih-Hung & Lin, Yi-Fan, 2018. "Performance comparison of organic Rankine cycle with expansion from superheated zone or two-phase zone based on temperature utilization rate of heat source," Energy, Elsevier, vol. 149(C), pages 566-576.
    10. 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.
    11. Sun, Hongchuang & Qin, Jiang & Hung, Tzu-Chen & Huang, Hongyan & Yan, Peigang, 2019. "Performance analysis of low speed axial impulse turbine using two type nozzles for small-scale organic Rankine cycle," Energy, Elsevier, vol. 169(C), pages 1139-1152.
    12. Xue, Yingxian & Yang, Mingyang & Pan, Lei & Deng, Kangyao & Wu, Xintao & Wang, Cuicui, 2021. "Gasdynamic behaviours of a radial turbine with pulsating incoming flow," Energy, Elsevier, vol. 218(C).
    13. Kler, Alexander & Zakharov, Yuri, 2017. "Joint optimization of power plant cycle parameters and gas turbine flow path parameters with blade airfoils represented by cubic splines," Energy, Elsevier, vol. 137(C), pages 183-192.

    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. Al Jubori, Ayad M. & Al-Dadah, Raya K. & Mahmoud, Saad & Daabo, Ahmed, 2017. "Modelling and parametric analysis of small-scale axial and radial-outflow turbines for Organic Rankine Cycle applications," Applied Energy, Elsevier, vol. 190(C), pages 981-996.
    2. Li, Jian & Ge, Zhong & Duan, Yuanyuan & Yang, Zhen & Liu, Qiang, 2018. "Parametric optimization and thermodynamic performance comparison of single-pressure and dual-pressure evaporation organic Rankine cycles," Applied Energy, Elsevier, vol. 217(C), pages 409-421.
    3. Yamada, Noboru & Tominaga, Yoshihito & Yoshida, Takanori, 2014. "Demonstration of 10-Wp micro organic Rankine cycle generator for low-grade heat recovery," Energy, Elsevier, vol. 78(C), pages 806-813.
    4. Braimakis, Konstantinos & Karellas, Sotirios, 2017. "Integrated thermoeconomic optimization of standard and regenerative ORC for different heat source types and capacities," Energy, Elsevier, vol. 121(C), pages 570-598.
    5. Magdalena Santos-Rodriguez, M. & Flores-Tlacuahuac, Antonio & Zavala, Victor M., 2017. "A stochastic optimization approach for the design of organic fluid mixtures for low-temperature heat recovery," Applied Energy, Elsevier, vol. 198(C), pages 145-159.
    6. Lecompte, Steven & Huisseune, Henk & van den Broek, Martijn & Vanslambrouck, Bruno & De Paepe, Michel, 2015. "Review of organic Rankine cycle (ORC) architectures for waste heat recovery," Renewable and Sustainable Energy Reviews, Elsevier, vol. 47(C), pages 448-461.
    7. Nithesh, K.G. & Chatterjee, Dhiman, 2016. "Numerical prediction of the performance of radial inflow turbine designed for ocean thermal energy conversion system," Applied Energy, Elsevier, vol. 167(C), pages 1-16.
    8. Yang, Yi & Huo, Yaowu & Xia, Wenkai & Wang, Xurong & Zhao, Pan & Dai, Yiping, 2017. "Construction and preliminary test of a geothermal ORC system using geothermal resource from abandoned oil wells in the Huabei oilfield of China," Energy, Elsevier, vol. 140(P1), pages 633-645.
    9. Bamorovat Abadi, Gholamreza & Kim, Kyung Chun, 2017. "Investigation of organic Rankine cycles with zeotropic mixtures as a working fluid: Advantages and issues," Renewable and Sustainable Energy Reviews, Elsevier, vol. 73(C), pages 1000-1013.
    10. Li, Jian & Liu, Qiang & Ge, Zhong & Duan, Yuanyuan & Yang, Zhen & Di, Jiawei, 2017. "Optimized liquid-separated thermodynamic states for working fluids of organic Rankine cycles with liquid-separated condensation," Energy, Elsevier, vol. 141(C), pages 652-660.
    11. Sung, Taehong & Yun, Eunkoo & Kim, Hyun Dong & Yoon, Sang Youl & Choi, Bum Seog & Kim, Kuisoon & Kim, Jangmok & Jung, Yang Beom & Kim, Kyung Chun, 2016. "Performance characteristics of a 200-kW organic Rankine cycle system in a steel processing plant," Applied Energy, Elsevier, vol. 183(C), pages 623-635.
    12. Cho, Soo-Yong & Cho, Chong-Hyun, 2015. "An experimental study on the organic Rankine cycle to determine as to how efficiently utilize fluctuating thermal energy," Renewable Energy, Elsevier, vol. 80(C), pages 73-79.
    13. Steven Lecompte & Sanne Lemmens & Henk Huisseune & Martijn Van den Broek & Michel De Paepe, 2015. "Multi-Objective Thermo-Economic Optimization Strategy for ORCs Applied to Subcritical and Transcritical Cycles for Waste Heat Recovery," Energies, MDPI, vol. 8(4), pages 1-28, April.
    14. Cho, Soo-Yong & Cho, Chong-Hyun & Choi, Sang-Kyu, 2015. "Experiment and cycle analysis on a partially admitted axial-type turbine used in the organic Rankine cycle," Energy, Elsevier, vol. 90(P1), pages 643-651.
    15. Steven Lecompte & Oyeniyi A. Oyewunmi & Christos N. Markides & Marija Lazova & Alihan Kaya & Martijn Van den Broek & Michel De Paepe, 2017. "Case Study of an Organic Rankine Cycle (ORC) for Waste Heat Recovery from an Electric Arc Furnace (EAF)," Energies, MDPI, vol. 10(5), pages 1-16, May.
    16. Francesco Calise & Davide Capuano & Laura Vanoli, 2015. "Dynamic Simulation and Exergo-Economic Optimization of a Hybrid Solar–Geothermal Cogeneration Plant," Energies, MDPI, vol. 8(4), pages 1-41, April.
    17. Xu, Weicong & Zhao, Ruikai & Deng, Shuai & Zhao, Li & Mao, Samuel S., 2021. "Is zeotropic working fluid a promising option for organic Rankine cycle: A quantitative evaluation based on literature data," Renewable and Sustainable Energy Reviews, Elsevier, vol. 148(C).
    18. Li, Jian & Liu, Qiang & Duan, Yuanyuan & Yang, Zhen, 2017. "Performance analysis of organic Rankine cycles using R600/R601a mixtures with liquid-separated condensation," Applied Energy, Elsevier, vol. 190(C), pages 376-389.
    19. Kaczmarczyk, Tomasz Z. & Żywica, Grzegorz & Ihnatowicz, Eugeniusz, 2017. "The impact of changes in the geometry of a radial microturbine stage on the efficiency of the micro CHP plant based on ORC," Energy, Elsevier, vol. 137(C), pages 530-543.
    20. Lei, Biao & Wu, Yu-Ting & Wang, Wei & Wang, Jing-Fu & Ma, Chong-Fang, 2014. "A study on lubricant oil supply for positive-displacement expanders in small-scale organic Rankine cycles," Energy, Elsevier, vol. 78(C), pages 846-853.

    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:131:y:2017:i:c:p:297-311. 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.