用于计算和预测建筑碳排放的人工智能:综述

IF 15 2区 环境科学与生态学 Q1 CHEMISTRY, MULTIDISCIPLINARY
Jianmin Hua, Ruiyi Wang, Ying Hu, Zimeng Chen, Lin Chen, Ahmed I. Osman, Mohamed Farghali, Lepeng Huang, Ji Feng, Jun Wang, Xiang Zhang, Xingyang Zhou, Pow-Seng Yap
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引用次数: 0

摘要

建筑行业占全球碳排放的很大一部分,需要减少其高碳排放量,以实现碳减排目标。人工智能可以为碳排放的计算和预测提供有效的支持。在此,我们回顾了人工智能技术在碳排放预测、管理和实时监测中的应用,重点介绍了它们的应用方式、影响和挑战。与传统方法相比,人工智能模型的预测精度提高了20%。人工智能驱动的系统可以通过实时监测和适应性管理策略减少高达15%的碳排放。人工智能应用将建筑的能源效率提高了25%,同时将运营成本降低了10%。人工智能支持数字碳管理系统的建立,有助于碳交易市场的发展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Artificial intelligence for calculating and predicting building carbon emissions: a review

The construction industry, being responsible for a large share of global carbon emissions, needs to reduce its high carbon output to meet carbon reduction goals. Artificial intelligence can provide efficient support for carbon emission calculation and prediction. Here, we review the use of artificial intelligence techniques in forecasting, management and real-time monitoring of carbon emissions, focusing on how they are applied, their impacts, and challenges. Compared to traditional methods, the prediction accuracy of artificial intelligence models has increased by 20%. Artificial intelligence-driven systems could reduce carbon emissions by up to 15% through real-time monitoring and adaptive management strategies. Artificial intelligence applications improve energy efficiency in buildings by up to 25%, while reducing operational costs by up to 10%. Artificial intelligence supports the establishment of a digital carbon management system and contributes to the development of the carbon trading market.

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来源期刊
Environmental Chemistry Letters
Environmental Chemistry Letters 环境科学-工程:环境
CiteScore
32.00
自引率
7.00%
发文量
175
审稿时长
2 months
期刊介绍: Environmental Chemistry Letters explores the intersections of geology, chemistry, physics, and biology. Published articles are of paramount importance to the examination of both natural and engineered environments. The journal features original and review articles of exceptional significance, encompassing topics such as the characterization of natural and impacted environments, the behavior, prevention, treatment, and control of mineral, organic, and radioactive pollutants. It also delves into interfacial studies involving diverse media like soil, sediment, water, air, organisms, and food. Additionally, the journal covers green chemistry, environmentally friendly synthetic pathways, alternative fuels, ecotoxicology, risk assessment, environmental processes and modeling, environmental technologies, remediation and control, and environmental analytical chemistry using biomolecular tools and tracers.
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