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Design of Kinetic-Energy Harvesting Floors

Author

Listed:
  • Thitima Jintanawan

    (Department of Mechanical Engineering, Chulalongkorn University, Bangkok 10330, Thailand)

  • Gridsada Phanomchoeng

    (Department of Mechanical Engineering, Chulalongkorn University, Bangkok 10330, Thailand
    Smart Mobility Research Unit, Chulalongkorn University, Bangkok 10300, Thailand)

  • Surapong Suwankawin

    (Department of Electrical Engineering, Chulalongkorn University, Bangkok 10330, Thailand)

  • Phatsakorn Kreepoke

    (Department of Mechanical Engineering, Chulalongkorn University, Bangkok 10330, Thailand)

  • Pimsalisa Chetchatree

    (Department of Mechanical Engineering, Chulalongkorn University, Bangkok 10330, Thailand)

  • Chanut U-viengchai

    (Department of Electrical Engineering, Chulalongkorn University, Bangkok 10330, Thailand)

Abstract

Alternative energy generated from people’s footsteps in a crowded area is sufficient to power smart electronic devices with low consumption. This paper aims to present the development of an energy harvesting floor—called Genpath—using a rotational electromagnetic (EM) technique to generate electricity from human footsteps. The dynamic models of the electro-mechanical systems were developed using MATLAB ® /Simulink to predict the energy performances of Genpath and help fine-tune the design parameters. The system in Genpath comprises two main parts: the EM generator and the Power Management and Storage (PMS) circuit. For the EM generator, the conversion mechanism for linear translation to rotation was designed by using the rack-pinion and lead-screw mechanism. Based on the simulation analysis, the averaged energy of the lead-screw model is greater than that of the rack-pinion model. Thus, prototype-II of Genpath with 12-V-DC generator, lead-screw mechanism was recently built. It shows better performance when compared to the previous prototype-I of Genpath with 24-V-DC-generator, rack-pinion mechanism. Both prototypes have an allowable displacement of 15 mm. The Genpath prototype-II produces an average energy of up to 702 mJ (or average power of 520 mW) per footstep. The energy provided by Genpath prototype-II is increased by approximately 184% when compared to that of the prototype-I. The efficiency of the EM-generator system is ~26% based on the 2-W power generation from the heel strike of a human’s walk in one step. Then, the PMS circuit was developed to harvest energy into the batteries and to supply the other part to specific loads. The experiment showed that the designed PMS circuit has the overall efficiency of 74.72%. The benefit of the design system is for a lot of applications, such as a wireless sensor and Internet of Thing applications.

Suggested Citation

  • Thitima Jintanawan & Gridsada Phanomchoeng & Surapong Suwankawin & Phatsakorn Kreepoke & Pimsalisa Chetchatree & Chanut U-viengchai, 2020. "Design of Kinetic-Energy Harvesting Floors," Energies, MDPI, vol. 13(20), pages 1-19, October.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:20:p:5419-:d:430233
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    References listed on IDEAS

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    1. Panwar, N.L. & Kaushik, S.C. & Kothari, Surendra, 2011. "Role of renewable energy sources in environmental protection: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(3), pages 1513-1524, April.
    2. Liu, Mingyi & Lin, Rui & Zhou, Shengxi & Yu, Yilun & Ishida, Aki & McGrath, Margarita & Kennedy, Brook & Hajj, Muhammad & Zuo, Lei, 2018. "Design, simulation and experiment of a novel high efficiency energy harvesting paver," Applied Energy, Elsevier, vol. 212(C), pages 966-975.
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    Cited by:

    1. Jing Li & Peiben Wang & Yuewen Gao & Dong Guan & Shengquan Li, 2022. "Quantitative Power Flow Characterization of Energy Harvesting Shock Absorbers by Considering Motion Bifurcation," Energies, MDPI, vol. 15(19), pages 1-21, September.
    2. Pommeret, Aude & Schubert, Katheline, 2022. "Optimal energy transition with variable and intermittent renewable electricity generation," Journal of Economic Dynamics and Control, Elsevier, vol. 134(C).
    3. Gholami, M. & Torreggiani, D. & Tassinari, P. & Barbaresi, A., 2021. "Narrowing uncertainties in forecasting urban building energy demand through an optimal archetyping method," Renewable and Sustainable Energy Reviews, Elsevier, vol. 148(C).
    4. Wei-Hsin Chen & Hwai Chyuan Ong & Shih-Hsin Ho & Pau Loke Show, 2021. "Green Energy Technology," Energies, MDPI, vol. 14(20), pages 1-4, October.
    5. Hameed, Zeenat & Hashemi, Seyedmostafa & Ipsen, Hans Henrik & Træholt, Chresten, 2021. "A business-oriented approach for battery energy storage placement in power systems," Applied Energy, Elsevier, vol. 298(C).
    6. Roberto De Fazio & Roberta Proto & Carolina Del-Valle-Soto & Ramiro Velázquez & Paolo Visconti, 2022. "New Wearable Technologies and Devices to Efficiently Scavenge Energy from the Human Body: State of the Art and Future Trends," Energies, MDPI, vol. 15(18), pages 1-37, September.
    7. Ferrari, Simone & Blázquez, Teresa & Dall'O', Giuliano, 2021. "Energy performance indexes based on monitored data of social housing buildings in Northern Italy," Applied Energy, Elsevier, vol. 298(C).
    8. Thitima Jintanawan & Gridsada Phanomchoeng & Surapong Suwankawin & Weeraphat Thamwiphat & Varinthorn Khunkiat & Wasu Watanasiri, 2022. "Design of a More Efficient Rotating-EM Energy Floor with Lead-Screw and Clutch Mechanism," Energies, MDPI, vol. 15(18), pages 1-18, September.
    9. Pereira, Géssica Michelle dos Santos & Weigert, Gabriela Rosalee & Macedo, Pablo Lopes & Silva, Kiane Alves e & Segura Salas, Cresencio Silvio & Gonçalves, Antônio Maurício de Matos & Nascimento, Hebe, 2022. "Quasi-dynamic operation and maintenance plan for photovoltaic systems in remote areas: The framework of Pantanal-MS," Renewable Energy, Elsevier, vol. 181(C), pages 404-416.

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