Sustainable Engineering and Renewable Energy

AI Simulation

Research activities focus on advancing sustainable engineering solutions across materials, processes, and energy systems. The work emphasizes environmentally responsible and resource-efficient technologies that support low-carbon and circular economy transitions. Approaches include process systems engineering, environmental assessment, and data-driven modeling to evaluate and improve the sustainability performance of chemical and energy technologies using life-cycle thinking.

Research Areas
  • • Sustainable Process Systems and Environmental Assessment
    A core research area of KUSuRe (Kasetsart University Sustainable Engineering Research Unit), focusing on Life Cycle Assessment (LCA), carbon and water footprint analysis, and techno-economic and environmental evaluation of chemical and energy systems to support low-carbon and circular economy transitions.
  • • Polymers and Functional Composite Materials
    Design, synthesis, and characterization of advanced polymeric and composite materials for functional and sustainable applications.
  • • Electrochemistry for Renewable Energy Systems
    Development of electrochemical materials and processes for energy storage and energy conversion technologies.
  • • Data-Driven Chemical Engineering and Hybrid Process Modeling
    Integration of process simulation, first-principles modeling, and machine learning for predictive process design. Digital approaches such as AI-assisted process development, multi-objective optimization, and multi-criteria decision analysis are also applied, often combined with techno-economic analysis (TEA) and life-cycle assessment (LCA) to evaluate trade-offs among cost, efficiency, and environmental impacts. These approaches support the development of digital tools and sustainable strategies for chemical and energy systems.
Current members
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CHEMICAL
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ENGINEERING
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KASETSART
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UNIVERSITY