An Application of Artificial Intelligence as a Tool for Climate Change: A Review
気候変動対策としての人工知能の応用：レビュー (AI 翻訳)
Lesor Ikeh
🤖 gxceed AI 要約
日本語
本レビューは、気候変動緩和における人工知能（AI）の多様な応用を包括的に分析。省エネ、炭素貯留、天気・再エネ予測、スマートグリッド、スマート製造、交通、精密農業、森林減少抑制、強靭な都市設計などが対象。AI活用により、建物のエネルギー使用・廃棄物・炭素排出を30～50%削減、スマートグリッドで電気代5～10%低減、ITSでCO2排出70%削減などの効果が示された。
English
This review analyzes diverse AI applications for climate change mitigation, including energy efficiency, carbon sequestration, weather and renewable forecasting, smart grids, smart manufacturing, intelligent transportation, precision agriculture, deforestation reduction, and resilient urban design. Key findings: AI can reduce energy use/waste/carbon by 30-50% in buildings, cut electricity bills by 5-10% via smart grids, and lower CO2 emissions by 70% through intelligent transport systems.
Unofficial AI-generated summary based on the public title and abstract. Not an official translation.
📝 gxceed 編集解説 — Why this matters
日本のGX文脈において
本論文はAIの気候変動対策への幅広い応用をレビューしており、日本のGX政策（省エネ、再エネ予測、スマートグリッド、スマート製造）に直接関連。示された削減ポテンシャルの数値は、企業の脱炭素戦略や政府の目標設定の参考となる。
In the global GX context
This paper offers a comprehensive overview of how AI can accelerate decarbonization across sectors, relevant to global frameworks like the Paris Agreement and net-zero targets. The quantified benefits (e.g., 70% CO2 reduction in transport) provide concrete evidence for integrating AI into national and corporate climate strategies.
👥 読者別の含意
🔬研究者:Provides a structured taxonomy of AI applications for climate mitigation, highlighting areas needing further empirical validation.
🏢実務担当者:Offers quantitative benchmarks (e.g., 30-50% energy savings in buildings) to justify AI investments in sustainability operations.
🏛政策担当者:Summarizes AI's potential across key sectors, supporting the design of incentives for AI-driven decarbonization.
📄 Abstract（原文）
Climate change is a significant threat, already damaging urban and natural systems and causing global economic losses exceeding $500 billion. These problems could be partly addressed with artificial intelligence, which leverages internet resources to offer quick suggestions based on accurate climate predictions. In this study, the applications of AI in reducing the negative effects of climate change, focusing on energy efficiency, carbon sequestration and storage, weather and renewable energy forecasting, grid management, building design, transportation, precision agriculture, industrial processes, reducing deforestation, and building resilient cities was reviewed. It is observed that improving energy efficiency can greatly reduce climate change impacts. Smart manufacturing can cut energy use, waste, and carbon emissions by 30–50%, especially in buildings. About 80% of the global natural gas industry uses AI to improve the accuracy and reliability of weather forecasts. Combining smart grids with AI can optimize power system efficiency, leading to a 5–10% reduction in electricity bills. Intelligent transportation systems can lower CO₂ emissions by around 70%. Consequently, managing natural resources and designing resilient cities with AI can further support sustainability.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.64388/irev9i10-1717140first seen 2026-05-23 05:12:10 · last seen 2026-05-27 04:31:31
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