Carbon Neutrality: A ReviewSource: Journal of Computing and Information Science in Engineering:;2023:;volume( 023 ):;issue: 006::page 60809-1DOI: 10.1115/1.4062545Publisher: 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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| contributor author | He, Bin | |
| contributor author | Yuan, Xin | |
| contributor author | Qian, Shusheng | |
| contributor author | Li, Bing | |
| date accessioned | 2023-11-29T18:59:01Z | |
| date available | 2023-11-29T18:59:01Z | |
| date copyright | 5/31/2023 12:00:00 AM | |
| date issued | 5/31/2023 12:00:00 AM | |
| date issued | 2023-05-31 | |
| identifier issn | 1530-9827 | |
| identifier other | jcise_23_6_060809.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4294506 | |
| description 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. | |
| publisher | The American Society of Mechanical Engineers (ASME) | |
| title | Carbon Neutrality: A Review | |
| type | Journal Paper | |
| journal volume | 23 | |
| journal issue | 6 | |
| journal title | Journal of Computing and Information Science in Engineering | |
| identifier doi | 10.1115/1.4062545 | |
| journal fristpage | 60809-1 | |
| journal lastpage | 60809-23 | |
| page | 23 | |
| tree | Journal of Computing and Information Science in Engineering:;2023:;volume( 023 ):;issue: 006 | |
| contenttype | Fulltext |