Green Computing: The Ultimate Carbon Destroyer for a Sustainable Future
Fuente:
arXiv
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| Autori principali: | , , , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2025
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| _version_ | 1866915424986202112 |
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| author | Amiri, Sayed Mahbub Hasan Goswami, Prasun Islam, Md. Mainul Hossen, Mohammad Shakhawat Mithila, Marzana Akter, Naznin |
| author_facet | Amiri, Sayed Mahbub Hasan Goswami, Prasun Islam, Md. Mainul Hossen, Mohammad Shakhawat Mithila, Marzana Akter, Naznin |
| contents | Green computing represents a critical pathway to decarbonize the digital economy while maintaining technological progress. This article examines how sustainable IT strategies including energy-efficient hardware, AI-optimized data centres, and circular e-waste systems can transform computing into a net carbon sink. Through analysis of industry best practices and emerging technologies like quantum computing and biodegradable electronics, we demonstrate achievable reductions of 40-60% in energy consumption without compromising performance. The study highlights three key findings: (1) current solutions already deliver both environmental and economic benefits, with typical payback periods of 3-5 years; (2) systemic barriers including cost premiums and policy fragmentation require coordinated action; and (3) next-generation innovations promise order-of-magnitude improvements in efficiency. We present a practical framework for stakeholders from corporations adopting renewable-powered cloud services to individuals extending device lifespans to accelerate the transition. The research underscores computing's unique potential as a climate solution through its rapid innovation cycles and measurable impacts, concluding that strategic investments in green IT today can yield disproportionate sustainability dividends across all sectors tomorrow. This work provides both a compelling case for urgent action and a clear roadmap to realize computing's potential as a powerful carbon destruction tool in the climate crisis era. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2508_00153 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Green Computing: The Ultimate Carbon Destroyer for a Sustainable Future Amiri, Sayed Mahbub Hasan Goswami, Prasun Islam, Md. Mainul Hossen, Mohammad Shakhawat Mithila, Marzana Akter, Naznin Computers and Society Symbolic Computation Green computing represents a critical pathway to decarbonize the digital economy while maintaining technological progress. This article examines how sustainable IT strategies including energy-efficient hardware, AI-optimized data centres, and circular e-waste systems can transform computing into a net carbon sink. Through analysis of industry best practices and emerging technologies like quantum computing and biodegradable electronics, we demonstrate achievable reductions of 40-60% in energy consumption without compromising performance. The study highlights three key findings: (1) current solutions already deliver both environmental and economic benefits, with typical payback periods of 3-5 years; (2) systemic barriers including cost premiums and policy fragmentation require coordinated action; and (3) next-generation innovations promise order-of-magnitude improvements in efficiency. We present a practical framework for stakeholders from corporations adopting renewable-powered cloud services to individuals extending device lifespans to accelerate the transition. The research underscores computing's unique potential as a climate solution through its rapid innovation cycles and measurable impacts, concluding that strategic investments in green IT today can yield disproportionate sustainability dividends across all sectors tomorrow. This work provides both a compelling case for urgent action and a clear roadmap to realize computing's potential as a powerful carbon destruction tool in the climate crisis era. |
| title | Green Computing: The Ultimate Carbon Destroyer for a Sustainable Future |
| topic | Computers and Society Symbolic Computation |
| url | https://arxiv.org/abs/2508.00153 |