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    Carbon Neutrality: A Review

    Source: Journal of Computing and Information Science in Engineering:;2023:;volume( 023 ):;issue: 006::page 60809-1
    Author:
    He, Bin
    ,
    Yuan, Xin
    ,
    Qian, Shusheng
    ,
    Li, Bing
    DOI: 10.1115/1.4062545
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The introduction of the idea of “carbon neutrality” gives the development of low carbon and decarbonization a defined path. Climate change is a significant worldwide concern. To offer a theoretical foundation for the implementation of carbon reduction, this research first analyzes the idea of carbon footprinting, accounting techniques, and supporting technologies. The next section examines carbon emission reduction technologies in terms of lowering emissions and raising carbon sequestration. Digital intelligence technologies like the Internet of Things, big data, and artificial intelligence will be crucial throughout the process of reducing carbon emissions. The implementation pathways for increasing carbon sequestration primarily include ecological and technological carbon sequestration. Nevertheless, proving carbon neutrality requires measuring and monitoring greenhouse gas emissions from several industries, which makes it a challenging undertaking. Intending to increase the effectiveness of carbon footprint measurement, this study created a web-based program for computing and analyzing the whole life cycle carbon footprint of items. The practical applications and difficulties of digital technologies, such as blockchain, the Internet of Things, and artificial intelligence in achieving a transition to carbon neutrality are also reviewed, and additional encouraging research ideas and recommendations are made to support the development of carbon neutrality.
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      Carbon Neutrality: A Review

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4294506
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    contributor authorHe, Bin
    contributor authorYuan, Xin
    contributor authorQian, Shusheng
    contributor authorLi, Bing
    date accessioned2023-11-29T18:59:01Z
    date available2023-11-29T18:59:01Z
    date copyright5/31/2023 12:00:00 AM
    date issued5/31/2023 12:00:00 AM
    date issued2023-05-31
    identifier issn1530-9827
    identifier otherjcise_23_6_060809.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4294506
    description abstractThe introduction of the idea of “carbon neutrality” gives the development of low carbon and decarbonization a defined path. Climate change is a significant worldwide concern. To offer a theoretical foundation for the implementation of carbon reduction, this research first analyzes the idea of carbon footprinting, accounting techniques, and supporting technologies. The next section examines carbon emission reduction technologies in terms of lowering emissions and raising carbon sequestration. Digital intelligence technologies like the Internet of Things, big data, and artificial intelligence will be crucial throughout the process of reducing carbon emissions. The implementation pathways for increasing carbon sequestration primarily include ecological and technological carbon sequestration. Nevertheless, proving carbon neutrality requires measuring and monitoring greenhouse gas emissions from several industries, which makes it a challenging undertaking. Intending to increase the effectiveness of carbon footprint measurement, this study created a web-based program for computing and analyzing the whole life cycle carbon footprint of items. The practical applications and difficulties of digital technologies, such as blockchain, the Internet of Things, and artificial intelligence in achieving a transition to carbon neutrality are also reviewed, and additional encouraging research ideas and recommendations are made to support the development of carbon neutrality.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleCarbon Neutrality: A Review
    typeJournal Paper
    journal volume23
    journal issue6
    journal titleJournal of Computing and Information Science in Engineering
    identifier doi10.1115/1.4062545
    journal fristpage60809-1
    journal lastpage60809-23
    page23
    treeJournal of Computing and Information Science in Engineering:;2023:;volume( 023 ):;issue: 006
    contenttypeFulltext
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