American Journal of Advanced Multidisciplinary Research and Innovation

E-ISSN: XXXX-XXXX     Impact Factor: -

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 8, Issue 5 (September-October 2026) Submit your research before last 3 days of October to publish your research paper in the issue of September-October.

Innovation in Low-Carbon Industrial Processes: Integrating Advanced Materials, Electrification and Intelligent Control

Author(s) Michael A. Cusumano
Country United States
Abstract Industrial sectors remain among the largest contributors to global greenhouse-gas emissions because of their dependence on fossil fuels, high-temperature processes, carbon-intensive feedstocks, and energy-intensive production systems. Achieving deep industrial decarbonisation therefore requires more than incremental efficiency improvements. It demands the integration of advanced materials, industrial electrification, artificial intelligence, automation, and intelligent process control into a new generation of low-carbon manufacturing systems. This paper examines emerging innovation pathways for reducing emissions across energy-intensive industries, with particular attention to steel, cement, chemicals, glass, ceramics, refining, and advanced manufacturing. It analyses the contribution of high-performance materials, low-carbon process chemistry, electric heating, renewable electricity, heat recovery, hydrogen, energy storage, digital twins, machine learning, predictive maintenance, and real-time optimisation. An Integrated Low-Carbon Industrial Innovation Framework is proposed, connecting material innovation, electrification, intelligent control, energy management, and carbon-management strategies. The paper argues that industrial decarbonisation should be approached as a systems-level transformation rather than as a collection of isolated technologies. Electrification can eliminate combustion-related emissions where suitable, while advanced materials can enable higher process efficiency, durability, thermal performance, and substitution of carbon-intensive materials. Intelligent control can coordinate variable renewable electricity, industrial loads, storage, production schedules, and process conditions. The paper also considers barriers including electricity availability, grid infrastructure, technology costs, retrofit complexity, process reliability, data interoperability, cybersecurity, workforce skills, and technological lock-in. The study concludes that the convergence of advanced materials, electrification, and intelligent control provides a powerful foundation for developing competitive, flexible, and low-carbon industrial systems.
Keywords Industrial Decarbonisation, Low-Carbon Manufacturing, Advanced Materials, Electrification, Intelligent Control, Artificial Intelligence, Industrial Energy Efficiency, Digital Twins, Renewable Energy, Process Optimisation, Industrial Innovation.
Field Engineering
Published In Volume 6, Issue 6, November-December 2024
Published On 2024-11-07

Share this