Polymer Applications in Energy Generation and Storage: A Forward Path

Open Access

Year : 2024 | Volume :14 | Special Issue : 02 | Page : 30-38
By

Kazi Sultananbanu Sayyad Liyakat Kazi,

Kazi Kutubuddin Sayyad Liyakat,

  1. Assistant Professor, Department of General Science and Engineering,Brahmdevdada Mane Institute of Technology, Solapur (MS), India
  2. Professor & Head, Department of Electronics and Telecommunication Engineering, Brahmdevdada Mane Institute of Technology, Solapur (MS), India

Abstract

‘]

In the rapidly evolving landscape of energy generation and storage, the role of polymers cannot be  overstated. The work titled “Polymer Applications in Energy Generation and Storage: A Forward Path”  aptly captures the essence of the burgeoning intersection between polymer science and sustainable  energy solutions. They effectively outline the diverse applications of polymers, highlighting their  significance in various energy technologies such as solar cells, and supercapacitors. One of the  standout aspects of the work is the emphasis on the inimitable properties of polymers—like their  lightweight nature, flexibility, and chemical versatility—which make them ideal candidates for  enhancing energy efficiency and storage capacity. “Polymer Applications in Energy Generation and  Storage: A Forward Path” presents a well-rounded and insightful overview of the present state and  prospect potential of polymers in energy applications. It serves as a compelling invitation to  researchers, engineers, and policymakers alike to delve deeper into this promising field. The forward thinking approach, combined with a commitment to sustainability, positions this abstract as an  engaging precursor to further exploration and innovation in polymer-based energy solutions.

Keywords: Polymer, Energy Generation, Energy Storage, Supercapacitor, organic photovoltaic (OPV) cells

[This article belongs to Special Issue under section in Journal of Nanoscience, NanoEngineering & Applications (jonsnea)]

How to cite this article:
Kazi Sultananbanu Sayyad Liyakat Kazi, Kazi Kutubuddin Sayyad Liyakat. Polymer Applications in Energy Generation and Storage: A Forward Path. Journal of Nanoscience, NanoEngineering & Applications. 2024; 14(02):30-38.
How to cite this URL:
Kazi Sultananbanu Sayyad Liyakat Kazi, Kazi Kutubuddin Sayyad Liyakat. Polymer Applications in Energy Generation and Storage: A Forward Path. Journal of Nanoscience, NanoEngineering & Applications. 2024; 14(02):30-38. Available from: https://journals.stmjournals.com/jonsnea/article=2024/view=174680


References ‘]

  1. Halli UM. Nanotechnology in IoT security. J Nanoscience, Nanoengineering Appl. 2022;12:11–6. 2. Halli UM. Nanotechnology in E-vehicle batteries. Int J Nanomater Nanostruct. 2022;8:22–7. 3. Sayyad Liyakat KK. Nanotechnology application in neural growth support system. Nano Trends.  2022;24:47–55. 
  2. Mishra Sunil B, et al. Nanotechnology’s importance in mechanical engineering. J Fluid Mech Des.  2024;6:1–9. 
  3. Liyakat KSS. Accepting Internet of nano-things: Synopsis, developments, and challenges. J  Nanoscience, Nanoengineering Appl. 2023;13:17–26. DOI: 10.37591/jonsnea.v13i2.1464. 6. Liyakat KSS, Liyakat KKS. Nanomedicine as a potential therapeutic approach to COVID-19. Int J  Appl Nanotechnol. 2023;9(2):27–35. 
  4. Liyakat KKS. Nanotechnology in precision farming: The role of research. Int J Nanomater  Nanostruct. 2023;9. DOI: 10.37628/ijnn.v9i2.1051. 
  5. Kazi K. Modelling and simulation of electric vehicle for performance analysis: BEV and HEV  electrical vehicle implementation using Simulink for E-mobility ecosystems. In: Nagpal N,  Kassarwani V, Varthanan G, Siano P, editors. IGI Global; 2024. p. 295–320. Available from:  https://www.igi-global.com/gateway/chapter/full-text-pdf/341172. DOI: 10.4018/979-8-3693- 2611-4.ch014. 
  6. Liyakat KSS. PV power control for DC microgrid energy storage utilization. J Digit Integr Circuits  Electr Devices. 2023;8:1–8. 
  7. Shaikh NN, Chavan MD, Shirshikar VG. PV penetrations in conventional power system and  generation of harmonic and power quality issues: A review. Int J Power Electron Controllers  Converters. 2023;9:12–9. 
  8. Liyakat KKS. Nanotechnology in medical applications: A study. Nano Trends. 2024;26(2):1–11. 12. Kazi Kutubuddin Sayyad Liyakat. Smart Agriculture based on AI-Driven-IoT (AIIoT): A KSK  Approach. Advance Research in Communication Engineering and Its Innovations. 2024;1(2):23– 32. Retrieved from https://matjournals.net/engineering/index.php/ARCEI/article/view/746. 13. Kazi K. Complications with malware identification in IoT and an overview of artificial immune  approaches. Res Rev J Immunol. 2024;14:54–62. 
  9. Liyakat KKS. Machine learning approach using artificial neural networks to detect malicious nodes  in IoT networks. In: Shukla PK, Mittal H, Engelbrecht A, editors. Algorithms for Intelligent  Systems. Springer: Singapore; 2023. DOI: 10.1007/978-981-99-4577-1_3. 
  10. Kazi K. AI-driven IoT (AIIoT) in healthcare monitoring. In: Nguyen T, Vo N, editors. Using  Traditional Design Methods to Enhance AI-Driven Decision Making. IGI Global; 2024. p. 77–101.  Available from: https://www.igi-global.com/chapter/ai-driven-iot-aiiot-in-healthcare-monitoring/3 36693. DOI: 10.4018/979-8-3693-0639-0.ch003. 
  11. Kazi K. Modelling and simulation of electric vehicle for performance analysis: BEV and HEV  electrical vehicle implementation using Simulink for E-mobility ecosystems. In: Nagpal N,  Kassarwani V, Varthanan G, Siano P, editors. IGI Global; 2024. p. 295–320. Available from:  https://www.igi-global.com/gateway/chapter/full-text-pdf/341172. DOI: 10.4018/979-8-3693- 2611-4.ch014. 
  12. Kazi KS. Computer-aided diagnosis in ophthalmology: A technical review of deep learning  applications. In: Garcia M, Almeida R, editors. Transformative Approaches to Patient Literacy and  Healthcare Innovation. IGI Global; 2024. p. 112–35. Available from: https://www.igi global.com/chapter/computer-aided-diagnosis-in-ophthalmology/342823. DOI: 10.4018/979-8- 3693-3661-8.ch006
  13. Kazi K. Complications with malware identification in IoT and an overview of artificial immune  approaches. Res Rev J Immunol. 2024;14:54–62. 
  14. Liyakat KKS. Machine learning approach using artificial neural networks to detect malicious nodes  in IoT networks. In: Shukla PK, Mittal H, Engelbrecht A, editors. Algorithms for Intelligent  Systems. Springer: Singapore; 2023. DOI: 10.1007/978-981-99-4577-1_3. 
  15. Kazi K. AI-driven IoT (AIIoT) in healthcare monitoring. In: Nguyen T, Vo N, editors. Using  Traditional Design Methods to Enhance AI-Driven Decision Making. IGI Global; 2024. p. 77–101.  Available from: https://www.igi-global.com/chapter/ai-driven-iot-aiiot-in-healthcare-monitoring/3 36693. DOI: 10.4018/979-8-3693-0639-0.ch003. 
  16. Kazi K. Modelling and simulation of electric vehicle for performance analysis: BEV and HEV  electrical vehicle implementation using Simulink for E-mobility ecosystems. In: Nagpal N,  Kassarwani V, Varthanan G, Siano P, editors. IGI Global; 2024. p. 295–320. Available from:  https://www.igi-global.com/gateway/chapter/full-text-pdf/341172. DOI: 10.4018/979-8-3693- 2611-4.ch014. 
  17. Kazi KS. Computer-aided diagnosis in ophthalmology: A technical review of deep learning  applications. In: Garcia M, Almeida R, editors. Transformative Approaches to Patient Literacy and  Healthcare Innovation. IGI Global; 2024. p. 112–35. Available from: https://www.igi global.com/chapter/computer-aided-diagnosis-in-ophthalmology/342823. DOI: 10.4018/979-8- 3693-3661-8.ch006.

  18.  Liyakat KKS. Explainable AI in healthcare. In: Kamaraj AA, Acharjya DP, editors. Explainable  Artificial Intelligence in Healthcare System. 2024. ISBN: 979-8-89113-598-7. DOI: 10.52305/ GOMR8163. 

  19. Liyakat KSS. ChatGPT: An automated teacher’s guide to learning. In: Bansal R, Chakir A, Hafaz  Ngah A, Rabby F, Jain A, editors. AI Algorithms and ChatGPT for Student Engagement in Online  Learning. IGI Global; 2024. p. 1–20. DOI: 10.4018/979-8-3693-4268-8.ch001. 
  20. Kazi KSL. IoT driven by machine learning (MLIoT) for the retail apparel sector. In: Tarnanidis T,  Papachristou E, Karypidis M, Ismyrlis V, editors. Driving Green Marketing in Fashion and Retail.  IGI Global; 2024. p. 63–81. DOI: 10.4018/979-8-3693-3049-4.ch004. 
  21. Kazi KSL. Machine learning (ML)-based braille Lippi characters and numbers detection and  announcement system for blind children in learning. In: Sart G, editor. Social Reflections of  Human–Computer Interaction in Education, Management, and Economics. IGI Global; 2024. p.  16–39. DOI: 10.4018/979-8-3693-3033-3.ch002. 
  22. Kazi KSL. Artificial intelligence (AI)-driven IoT (AIIoT)-based agriculture automation. In:  Satapathy S, Muduli K, editors. Advanced Computational Methods for Agri-Business  Sustainability. IGI Global; 2024. p. 72–94. DOI: 10.4018/979-8-3693-3583-3.ch005. 
  23. Kutubuddin K. Vehicle Health Monitoring System (VHMS) by employing IoT and sensors. Grenze  Int J Eng Technol. 2024;10:5367–74. Available from: https://thegrenze.com/index.php? display=page&view=journalabstract&absid=3371&id=8. 
  24. Kutubuddin K. A novel approach on ML based palmistry. Grenze Int J Eng Technol. 2024;10:5186– 93. Available from: https://thegrenze.com/index.php?display=page&view=journalabstract& absid=3344&id=8.
Special Issue Open Access Review Article
Volume 14
Special Issue 02
Received September 9, 2024
Accepted September 11, 2024
Published September 20, 2024
Views: 37

Check Our other Platform for Workshops in the field of AI, Biotechnology & Nanotechnology.
Learn more
Check Out Platform for Webinars in the field of AI, Biotech. & Nanotech.
Learn more