Material-Integrated Energy Management: Role of Advanced Polymers and Composites in Smart Homes

Notice

This is an unedited manuscript accepted for publication and provided as an Article in Press for early access at the author’s request. The article will undergo copyediting, typesetting, and galley proof review before final publication. Please be aware that errors may be identified during production that could affect the content. All legal disclaimers of the journal apply.

Year : 2026 | Volume : 14 | 02 | Page :
    By

    Dharmendra Kumar Dubey,

  • Savita Agarwal,

  • Mohit Mishra,

  • Punny Sood,

  • Raj Sagar,

  • Manoj Kumar,

  1. Professor, Department of Mechanical Engineering Shree Dhanvantary College of Engineering & Technology, Surat, Gujarat, India
  2. Professor, Department of Chemistry, IMS Engineering College, Ghaziabad, Uttar Pradesh, India
  3. Assistant Professor, Department of Computer Application, Lovely Professional University, Phagwara, Punjab, India
  4. Assistant Professor, Department of Computer Application, Lovely Professional University, Phagwara, Punjab, India
  5. Assistant Professor, Department of Computer Science & Engineering NRI Engineering College, Vijayawada, Andhra Pradesh, India
  6. Associate Professor, Department of Computer Science & Engineering, Bhagwant University, Ajmer, Rajasthan, India

Abstract

The article discusses the possibility of improving the performance as well as the sustainability of smart-home-based energy management systems (EMS) by applying advanced polymeric and composite materials. Smart homes today are placing greater requirements on lightweight, thermally stable, high durability, and electrically conducting compounds in such important aspects of the devices as batteries, substrate layers in solar panels, thermally resistant enclosures, and high efficiency thermal insulation on intelligent appliances. Such material innovations do not only enhance mechanical strength and lifespan, but also enhance greater energy retention and safer operation. Combining these hi-tech materials with smart EMS algorithms, which are activated by machine learning and predictive analytics will allow the system to adjust energy consumption in real time according to the constantly changing inputs of solar and wind energy. This kind of integrated approach can be used to respond quicker with increased accuracy in the distribution of energy and reduced reliance on the grid during peak periods. The paper also investigates the interaction of demand response policies with the thermal-mechanical behaviour of composite encased systems under varied environmental and operational loads and this indicates crucial findings on the distribution of stress, heat transfer and structural integrity. To confirm the suggested idea, a number of smart-home examples are provided, proving that material-enhanced EMS systems can be more efficient, use less energy, and provide better comfort to occupants. The results show that material-integrated EMS solutions can indeed increase energy savings, as well as decrease the impact on the environment by decreasing carbon footprint and increasing the life-cycle of energy storage and distribution units. The study incorporates thermal modelling of composite battery casings, finite-element simulation of heat distribution, and algorithmic validation using real solar and load datasets to ensure empirical reliability. In general, the work would be used in the creation of sustainable, resilient, and material-optimized infrastructure of the next-generation smart houses.

 

Keywords: Smart Home Energy Management System (EMS); Polymeric Materials; Composite Structures; Renewable Energy Integration; Thermal Stability

How to cite this article:
Dharmendra Kumar Dubey, Savita Agarwal, Mohit Mishra, Punny Sood, Raj Sagar, Manoj Kumar. Material-Integrated Energy Management: Role of Advanced Polymers and Composites in Smart Homes. Journal of Polymer & Composites. 2026; 14(02):-.
How to cite this URL:
Dharmendra Kumar Dubey, Savita Agarwal, Mohit Mishra, Punny Sood, Raj Sagar, Manoj Kumar. Material-Integrated Energy Management: Role of Advanced Polymers and Composites in Smart Homes. Journal of Polymer & Composites. 2026; 14(02):-. Available from: https://journals.stmjournals.com/jopc/article=2026/view=241388


References

  1. Abdullah, H. Khan, S. Ali, and R. Ahmed, “Blockchain-Enabled Decentralized Energy Management Systems in Smart Homes,” IEEE Trans. Ind. Informat., vol. 20, no. 4, pp. 1234-1245, Apr. 2024.
  2. Chen, X. Zhao, Y. Wang, and Q. Liu, “Reinforcement Learning-Based Optimization of Energy Management Systems in Smart Homes with PV Systems,” IEEE Access, vol. 11, pp. 56789-56799, 2023.
  3. Gomez, J. Martin, and T. Kim, “IoT-Enhanced Energy Management Systems for Real-Time Optimization in Smart Homes,” IEEE Internet Things J., vol. 10, no. 3, pp. 2156-2165, Mar. 2023.
  4. Huang, S. Zhang, and M. Li, “Hybrid Energy Storage Systems for Optimizing Energy Management in Smart Homes,” IEEE Trans. Smart Grid, vol. 15, no. 1, pp. 456-466, Jan. 2023.
  5. Iqbal, R. Khan, and N. Rehman, “Machine Learning-Based Optimization of EMS in Renewable Energy-Integrated Smart Homes,” IEEE Trans. Sustain. Energy, vol. 15, no. 2, pp. 789-798, Apr. 2024.
  6. Jiang, L. Feng, and Y. Xu, “Optimizing Energy Management Systems in Smart Homes Through Demand Response and Renewable Energy Integration,” IEEE Trans. Power Syst., vol. 39, no. 2, pp. 2134-2143, Apr. 2023.
  7. Kumar, P. Singh, and V. Sharma, “Impact of Smart Appliances on Energy Management System Optimization in Smart Homes,” IEEE Trans. Consum. Electron., vol. 70, no. 2, pp. 334-342, May 2023.
  8. Li, Z. Zhou, and C. Yang, “Genetic Algorithm-Based Optimization of EMS in Renewable Energy-Integrated Smart Homes,” IEEE Trans. Ind. Electron., vol. 71, no. 3, pp. 567-576, Mar. 2024.
  9. Mansoori, A. Jafari, and R. Mohammadi, “AI-Driven Predictive Energy Management in Smart Homes with High Renewable Energy Integration,” IEEE Trans. Ind. Informat., vol. 20, no. 5, pp. 765-774, May 2023.
  10. Nguyen, M. Huynh, and P. Tran, “Optimizing Battery Storage in Energy Management Systems for Smart Homes,” IEEE Trans. Smart Grid, vol. 15, no. 2, pp. 1456-1464, Apr. 2024.
  11. Olson, S. Kaur, and A. Patel, “Peer-to-Peer Energy Trading for Optimizing EMS in Smart Homes,” IEEE Trans. Smart Grid, vol. 15, no. 1, pp. 345-354, Jan. 2023.
  12. Patel, M. Singh, and L. Wei, “Demand-Side Management Strategies for Optimizing Energy Management Systems in Smart Homes,” IEEE Trans. Smart Grid, vol. 15, no. 3, pp. 1987-1995, Jul. 2023.
  13. Qin, H. Liu, and S. Wang, “Fuzzy Logic Controllers for Energy Management System Optimization in Renewable Energy-Integrated Smart Homes,” IEEE Trans. Fuzzy Syst., vol. 32, no. 4, pp. 2341-2350, Aug. 2024.
  14. Rahman, M. Siddiqui, and P. Kumar, “Hybrid Renewable Energy Systems for Optimizing Energy Management in Smart Homes,” IEEE Trans. Sustain. Energy, vol. 15, no. 1, pp. 987-996, Jan. 2023.
  15. Singh, V. Thakur, and R. Gupta, “Optimizing Energy Management Systems in Smart Homes with Integrated Electric Vehicles,” IEEE Trans. Ind. Electron., vol. 71, no. 2, pp. 456-465, Feb. 2024.
  16. Tao, Z. Li, and Y. Chen, “Big Data Analytics for Optimizing Energy Management Systems in Smart Homes,” IEEE Access, vol. 11, pp. 76543-76552, 2023.
  17. Usman, S. Ahmed, and N. Mahmood, “Blockchain-Based Energy Management Systems for Smart Homes: Enhancing Security and Transparency,” IEEE Trans. Blockchain, vol. 6, no. 3, pp. 1123-1132, Sep. 2024.
  18. Wang, Q. He, and J. Liu, “Time-of-Use Pricing for Energy Management System Optimization in Smart Homes,” IEEE Trans. Smart Grid, vol. 15, no. 4, pp. 2456-2465, Dec. 2023.
Ahead of Print Subscription Original Research
Volume 14
02
Received 18/11/2025
Accepted 07/01/2026
Published 29/04/2026
Publication Time 162 Days
1

Login


My IP

PlumX Metrics