IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v251y2019ic1.html
   My bibliography  Save this article

Shape memory alloy engine for high efficiency low-temperature gradient thermal to electrical conversion

Author

Listed:
  • Kumar, Prashant
  • Kishore, Ravi Anant
  • Maurya, Deepam
  • Stewart, Colin J.
  • Mirzaeifar, Reza
  • Quandt, Eckhard
  • Priya, Shashank

Abstract

More than half of the energy generated worldwide is lost as unused thermal energy because of the lack of efficient methodology for harnessing the low-grade heat. Here we demonstrate that shape-memory alloy can be an effective mechanism for recovering low-grade heat. Shape memory alloys exhibit thermally induced martensite to austenite phase transformation and super-elasticity (stress-induced martensitic transformation). Employing these two characteristics, we demonstrate a thermal engine for harnessing waste energy through all modes of heat transfer: convection, conduction, and radiation. In this work, we performed material and heat transfer analysis for achieving high frequency, sustainable and efficient operation of our engine. An optimized shape memory alloy engine generated 36 W per kilogram or 234 kW of electricity per cubic meter of active material. A continuous three-day operation of several SMA engines could generate 7.2 kWh of electricity when installed on a 500 m long hot pipe network. This generated power can potentially reduce the carbon footprint by 5.1 kg of CO2 illustrating the promise of this technology for addressing climate change.

Suggested Citation

  • Kumar, Prashant & Kishore, Ravi Anant & Maurya, Deepam & Stewart, Colin J. & Mirzaeifar, Reza & Quandt, Eckhard & Priya, Shashank, 2019. "Shape memory alloy engine for high efficiency low-temperature gradient thermal to electrical conversion," Applied Energy, Elsevier, vol. 251(C), pages 1-1.
    • Handle: RePEc:eee:appene:v:251:y:2019:i:c:1
    DOI: 10.1016/j.apenergy.2019.05.080
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261919309377
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.apenergy.2019.05.080?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. Oluleye, Gbemi & Jobson, Megan & Smith, Robin & Perry, Simon J., 2016. "Evaluating the potential of process sites for waste heat recovery," Applied Energy, Elsevier, vol. 161(C), pages 627-646.
    2. Lorenzo Tocci & Tamas Pal & Ioannis Pesmazoglou & Benjamin Franchetti, 2017. "Small Scale Organic Rankine Cycle (ORC): A Techno-Economic Review," Energies, MDPI, vol. 10(4), pages 1-26, March.
    3. 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.
    4. Chua, K.J. & Chou, S.K. & Yang, W.M., 2010. "Advances in heat pump systems: A review," Applied Energy, Elsevier, vol. 87(12), pages 3611-3624, December.
    5. Madhawa Hettiarachchi, H.D. & Golubovic, Mihajlo & Worek, William M. & Ikegami, Yasuyuki, 2007. "Optimum design criteria for an Organic Rankine cycle using low-temperature geothermal heat sources," Energy, Elsevier, vol. 32(9), pages 1698-1706.
    6. Zheng, X.F. & Liu, C.X. & Yan, Y.Y. & Wang, Q., 2014. "A review of thermoelectrics research – Recent developments and potentials for sustainable and renewable energy applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 32(C), pages 486-503.
    7. Seok Woo Lee & Yuan Yang & Hyun-Wook Lee & Hadi Ghasemi & Daniel Kraemer & Gang Chen & Yi Cui, 2014. "An electrochemical system for efficiently harvesting low-grade heat energy," Nature Communications, Nature, vol. 5(1), pages 1-6, September.
    8. Oluleye, Gbemi & Smith, Robin & Jobson, Megan, 2016. "Modelling and screening heat pump options for the exploitation of low grade waste heat in process sites," Applied Energy, Elsevier, vol. 169(C), pages 267-286.
    9. Shi, Lingfeng & Shu, Gequn & Tian, Hua & Deng, Shuai, 2018. "A review of modified Organic Rankine cycles (ORCs) for internal combustion engine waste heat recovery (ICE-WHR)," Renewable and Sustainable Energy Reviews, Elsevier, vol. 92(C), pages 95-110.
    10. Brückner, Sarah & Liu, Selina & Miró, Laia & Radspieler, Michael & Cabeza, Luisa F. & Lävemann, Eberhard, 2015. "Industrial waste heat recovery technologies: An economic analysis of heat transformation technologies," Applied Energy, Elsevier, vol. 151(C), pages 157-167.
    11. Lee, Heonjoong & Sharp, Jeff & Stokes, David & Pearson, Matthew & Priya, Shashank, 2018. "Modeling and analysis of the effect of thermal losses on thermoelectric generator performance using effective properties," Applied Energy, Elsevier, vol. 211(C), pages 987-996.
    12. Hamid Elsheikh, Mohamed & Shnawah, Dhafer Abdulameer & Sabri, Mohd Faizul Mohd & Said, Suhana Binti Mohd & Haji Hassan, Masjuki & Ali Bashir, Mohamed Bashir & Mohamad, Mahazani, 2014. "A review on thermoelectric renewable energy: Principle parameters that affect their performance," Renewable and Sustainable Energy Reviews, Elsevier, vol. 30(C), pages 337-355.
    13. Barbier, Enrico, 2002. "Geothermal energy technology and current status: an overview," Renewable and Sustainable Energy Reviews, Elsevier, vol. 6(1-2), pages 3-65.
    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. Chen, Haodong & Ma, Zhihui & Liu, Xianliang & Qiao, Kaiming & Xie, Longlong & Li, Zhenxing & Shen, Jun & Dai, Wei & Ou, Zhiqiang & Yibole, Hargen & Tegus, Ojiyed & Taskaev, Sergey V. & Chu, Ke & Long,, 2022. "Evaluation of thermomagnetic generation performance of classic magnetocaloric materials for harvesting low-grade waste heat," Applied Energy, Elsevier, vol. 306(PA).

    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. Bohlayer, Markus & Zöttl, Gregor, 2018. "Low-grade waste heat integration in distributed energy generation systems - An economic optimization approach," Energy, Elsevier, vol. 159(C), pages 327-343.
    2. Zhu, Sipeng & Zhang, Kun & Deng, Kangyao, 2020. "A review of waste heat recovery from the marine engine with highly efficient bottoming power cycles," Renewable and Sustainable Energy Reviews, Elsevier, vol. 120(C).
    3. Oluleye, Gbemi & Smith, Robin, 2016. "A mixed integer linear programming model for integrating thermodynamic cycles for waste heat exploitation in process sites," Applied Energy, Elsevier, vol. 178(C), pages 434-453.
    4. Wahiba Yaïci & Andres Annuk & Evgueniy Entchev & Michela Longo & Janar Kalder, 2021. "Organic Rankine Cycle-Ground Source Heat Pump with Seasonal Energy Storage Based Micro-Cogeneration System in Cold Climates: The Case for Canada," Energies, MDPI, vol. 14(18), pages 1-21, September.
    5. Wallerand, Anna S. & Kermani, Maziar & Kantor, Ivan & Maréchal, François, 2018. "Optimal heat pump integration in industrial processes," Applied Energy, Elsevier, vol. 219(C), pages 68-92.
    6. Nian, Yong-Le & Cheng, Wen-Long, 2018. "Insights into geothermal utilization of abandoned oil and gas wells," Renewable and Sustainable Energy Reviews, Elsevier, vol. 87(C), pages 44-60.
    7. Imran, Muhammad & Haglind, Fredrik & Asim, Muhammad & Zeb Alvi, Jahan, 2018. "Recent research trends in organic Rankine cycle technology: A bibliometric approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P1), pages 552-562.
    8. Shittu, Samson & Li, Guiqiang & Zhao, Xudong & Ma, Xiaoli, 2020. "Review of thermoelectric geometry and structure optimization for performance enhancement," Applied Energy, Elsevier, vol. 268(C).
    9. Sanjay Mukherjee & Abhishek Asthana & Martin Howarth & Jahedul Islam Chowdhury, 2020. "Techno-Economic Assessment of Waste Heat Recovery Technologies for the Food Processing Industry," Energies, MDPI, vol. 13(23), pages 1-26, December.
    10. Ayub, Mohammad & Mitsos, Alexander & Ghasemi, Hadi, 2015. "Thermo-economic analysis of a hybrid solar-binary geothermal power plant," Energy, Elsevier, vol. 87(C), pages 326-335.
    11. Tilia Dahou & Patrick Dutournié & Lionel Limousy & Simona Bennici & Nicolas Perea, 2019. "Recovery of Low-Grade Heat (Heat Waste) from a Cogeneration Unit for Woodchips Drying: Energy and Economic Analyses," Energies, MDPI, vol. 12(3), pages 1-17, February.
    12. Kermani, Maziar & Wallerand, Anna S. & Kantor, Ivan D. & Maréchal, François, 2018. "Generic superstructure synthesis of organic Rankine cycles for waste heat recovery in industrial processes," Applied Energy, Elsevier, vol. 212(C), pages 1203-1225.
    13. Zhai, Huixing & An, Qingsong & Shi, Lin & Lemort, Vincent & Quoilin, Sylvain, 2016. "Categorization and analysis of heat sources for organic Rankine cycle systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 64(C), pages 790-805.
    14. Stijepovic, Mirko Z. & Papadopoulos, Athanasios I. & Linke, Patrick & Grujic, Aleksandar S. & Seferlis, Panos, 2014. "An exergy composite curves approach for the design of optimum multi-pressure organic Rankine cycle processes," Energy, Elsevier, vol. 69(C), pages 285-298.
    15. Satanphol, K. & Pridasawas, W. & Suphanit, B., 2017. "A study on optimal composition of zeotropic working fluid in an Organic Rankine Cycle (ORC) for low grade heat recovery," Energy, Elsevier, vol. 123(C), pages 326-339.
    16. Fabio Fatigati & Marco Di Bartolomeo & Davide Di Battista & Roberto Cipollone, 2020. "Experimental Validation of a New Modeling for the Design Optimization of a Sliding Vane Rotary Expander Operating in an ORC-Based Power Unit," Energies, MDPI, vol. 13(16), pages 1-23, August.
    17. Hongkun Lv & Guoneng Li & Youqu Zheng & Jiangen Hu & Jian Li, 2018. "Compact Water-Cooled Thermoelectric Generator (TEG) Based on a Portable Gas Stove," Energies, MDPI, vol. 11(9), pages 1-19, August.
    18. Michel Feidt & Monica Costea & Renaud Feidt & Quentin Danel & Christelle Périlhon, 2020. "New Criteria to Characterize the Waste Heat Recovery," Energies, MDPI, vol. 13(4), pages 1-15, February.
    19. Coskun, C. & Oktay, Z. & Dincer, I., 2011. "Modified exergoeconomic modeling of geothermal power plants," Energy, Elsevier, vol. 36(11), pages 6358-6366.
    20. Nian, Yong-Le & Cheng, Wen-Long, 2018. "Evaluation of geothermal heating from abandoned oil wells," Energy, Elsevier, vol. 142(C), pages 592-607.

    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:appene:v:251:y:2019:i:c:1. 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.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description .

    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.