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Carbon economics and emission reduction in the metal sector: the AI advantage
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| 1.15 MB | Adobe PDF |
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Resumo(s)
Due to the EU's commitment to achieve net-zero emissions by 2050, climate regulations, in cluding carbon pricing, compel companies to develop effective emission reduction strategies.
Artificial intelligence, through methods like Product Carbon Footprinting and Demand Fore casting, plays a crucial role. Despite the increasing impact of carbon costs, counteracting trends
like the shift to renewables and low-emission steel production offer potential mitigations. Es pecially the carbon-intensive metal sector can benefit, as carbon costs could significantly de crease margins. Notably, reducing emissions early helps companies proactively manage addi tional costs. These insights provide a foundational understanding of informed and sustainable
business practices amid evolving regulatory dynamics.
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Palavras-chave
Climate change CO2 emissions Carbon pricing Artificial Intelligence Emissions reduction Product carbon footprint