Intelligent Building Energy-Saving Strategy Combines Nanotechnology and Reinforcement Learning

Strategic Insights -

Researchers from the University of Basrah in Iraq have proposed a novel approach to reducing energy consumption in buildings by combining nanotechnology with reinforcement learning. Their strategy, which involves using dual-stage phase change materials and methanol-silver nanofluid thermosyphon heat pipes, has been optimized via deep clustering self-adaptive reinforcement learning (DCSRL) in a MATLAB environment. This innovative approach has successfully implemented a compact design that reduces energy consumption by 33.9% compared to conventional systems and increases grid reliability.

Key Takeaways:

  • The peak load of power plants occurs in the afternoon due to the cooling load imposed by the building sector, affecting plant efficiency and the coefficient of performance (COP) of chillers.
  • The proposed strategy combines dual-stage phase change materials (DPCMs) with methanol-silver nanofluid thermosyphon heat pipes, optimized via DCSRL in a MATLAB environment.
  • This approach refines tank dimensions and sequencing to effectively reduce the peak building load, improving cooling-load demand response and building energy efficiency.
  • The strategy integrates thermosyphon heat pipes of DPCMs (DCSRLITHPDPCMs) to avoid high-dimensional action space and nonlinear control response.
  • The compact design of the strategy significantly contributed to achieving the desired response of the cooling load demand.
  • The research has been peer-reviewed and published in the Journal of Building Engineering.
  • Additional authors for this research include Hayder I. Mohammed, Abdellatif M. Sadeq, Bilal Naji Alhasnawi, Ali Wadi Al-Fatlawi, Farhan L. Rashid, Ahmed K. Hussein, Omer A. Alawi, Krishna K. Yadav, Hussein Togun, Nabeel S. Dhaidan, and Zaher Mundher Yaseen.

Statistics:

  • 33.9% decrease in energy consumption compared to conventional systems
  • Peak load of power plants occurs in the afternoon due to cooling load imposed by building sector
  • 112 (Journal of Building Engineering, 2025) - Journal volume where the research was published
  • 1237 (Nanotechnology Weekly, 2025) - Page number where the research was cited
  • Qatar National Research Fund (QNRF) - Financial support for the research
  • Elsevier - Publisher of the Journal of Building Engineering
  • Radarweg 29, 1043 Nx Amsterdam, Netherlands - Address of Elsevier
  • Basra 1004, Iraq - Address of Raad Z. Homod, University of Basrah Oil & Gas, Dept Oil & Gas Engn

Sources:

  • Smart Buildings Using Compact Heat Pipes With Nanofluid In Pcm for Energy Saving Via Deep Clustering of Multi-agent. Journal of Building Engineering, 2025;112.
  • Journal of Building Engineering can be contacted at: Elsevier, Radarweg 29, 1043 Nx Amsterdam, Netherlands.
  • Nanotechnology Weekly. October 20, 2025; p 1237.