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Optimal Strategy for Obtaining Excellent Energy Storage Density in Polymer Nanocomposite Materials

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Proceedings of the International Conference on Paradigms of Computing, Communication and Data Sciences

Part of the book series: Algorithms for Intelligent Systems ((AIS))

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Abstract

Storage of electrical energy is the topic of major concern now a days due to the increased demand of electrical energy in day to day life. So there is need to develop the high performance energy storage devices. Enhancement of energy density of the dielectric capacitor is the major area of research. This paper deals with all the aspects and factors that affect the energy density of the material used as dielectric in dielectric capacitors. Kee** in mind the environmental safety multilayer structure of biodegradable polymer nanocomposite materials is concluded to be the best method to enhance the energy density of the dielectric material.

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Author information

Authors and Affiliations

  1. Department of ECE, UIET, Panjab University, Chandigarh, India

    Daljeet Kaur & Charu Madhu

  2. Department of ECE, Chandigarh University, Gharuan, India

    Tripti Sharma

Authors
  1. Daljeet Kaur
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  2. Tripti Sharma
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  3. Charu Madhu
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Correspondence to Daljeet Kaur .

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Editors and Affiliations

  1. Department of Computer Engineering, National Institute of Technology, Kurukshetra, Kurukshetra, India

    Mayank Dave

  2. Department of Computer Engineering, National Institute of Technology, Kurukshetra, Kurukshetra, India

    Ritu Garg

  3. Department of Computer Engineering, National Institute of Technology, Kurukshetra, Kurukshetra, India

    Mohit Dua

  4. School of Information Technology, Deakin University, Geelong, VIC, Australia

    Jemal Hussien

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Kaur, D., Sharma, T., Madhu, C. (2021). Optimal Strategy for Obtaining Excellent Energy Storage Density in Polymer Nanocomposite Materials. In: Dave, M., Garg, R., Dua, M., Hussien, J. (eds) Proceedings of the International Conference on Paradigms of Computing, Communication and Data Sciences. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-15-7533-4_4

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  • DOI: https://doi.org/10.1007/978-981-15-7533-4_4

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-7532-7

  • Online ISBN: 978-981-15-7533-4

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