Simulation-assisted multi-process integrated optimization for greentelligent aluminum casting

Article Energy & Fuels

Comprehensive assessment of energy conservation and CO2 emission reduction in future aluminum supply chain

Shuoshuo Tian et al.

Summary: The global aluminum industry has undergone significant changes over the past decade, with China emerging as a major producer. A comprehensive assessment framework was developed to explore energy conservation and CO2 emission reduction in China's aluminum industry. Results show that China's aluminum demand will continue to rise, but achieving a circular economy in the short term is challenging. Technology promotion and structural adjustments will gradually reduce energy consumption and CO2 emissions.

APPLIED ENERGY (2022)

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Article Energy & Fuels

Critical life cycle inventory for aluminum die casting: A lightweight-vehicle manufacturing enabling technology

Weipeng Liu et al.

Summary: This study evaluates the energy conservation and emission reduction (ECER) effects of vehicle aluminum die castings, proposing different casting methods and their energy consumption and emission reduction effects. It also suggests some targeted ECER measures, but highlights the lack of research in the manufacturing stage and the need for attractive implementation measures.

APPLIED ENERGY (2021)

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Editorial Material Engineering, Mechanical

Greentelligence: Smart Manufacturing for a Greener Future

Xingyu Li et al.

CHINESE JOURNAL OF MECHANICAL ENGINEERING (2021)

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Article Energy & Fuels

Artificial intelligent based energy scheduling of steel mill gas utilization system towards carbon neutrality

Han Xi et al.

Summary: Steel industry, a significant contributor to the global economy, is facing challenges in terms of high energy consumption and CO2 emissions due to its reliance on coal-based blast furnace route. This paper proposes a system for low-carbon steel mill gas utilization, integrating solvent-based carbon capture, methanol production based carbon utilization, and renewable power. Through the application of artificial intelligence and optimization algorithms, the system aims to reduce renewable energy curtailment, CO2 emissions, and promote methanol production towards carbon neutrality in the steel industry.

APPLIED ENERGY (2021)

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Review Energy & Fuels