Sustainable Industrial Processes: Mathematical Methodologies, Modelling, AI and Energy Efficiency

Dear Colleagues,

The global industrial sector is at a transformative crossroads, confronting escalating pressures from climate change, resource scarcity, and the imperative for circular economies, while striving to enhance operational efficiency, reduce emissions, and drive equitable growth. As industries accelerate toward net-zero transitions, there is an urgent need for innovative frameworks that embed sustainability at the core of process design and execution, and this Topic, titled “Sustainable Industrial Processes: Mathematical Methodologies, Modelling, AI and Energy Efficiency”, invites research that explores rigorous solutions to these dynamics, seeing as by leveraging mathematical methodologies for precise modelling, empowering processes through AI-driven intelligence, and optimizing synergies between energy systems and sustainability metrics, we will redefine industrial paradigms. We welcome contributions focusing on mathematical foundations for system simulation, optimization algorithms, and predictive modelling in complex processes, AI technologies enabling real-time analytics, automation, and adaptive decision-making for resilient operations, synergistic optimization of renewable energies, hybrid storage, and low-carbon pathways in energy-intensive workflows, as well as integrated digital infrastructures fostering data-driven sustainability assessments and circular resource flows. This Topic encourages multidisciplinary research that combines theoretical rigor with practical advancements to cultivate adaptive, low-impact industrial solutions. We look forward to receiving submissions that help forge a regenerative, sustainable industrial future.

Prof. Dr. Dazhong Ma
Prof. Dr. Zhiqiang Tian
Prof. Dr. Peng Zhou
Topic Editors