Zhan Wang
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Zhan Wang has a total of 11 co-authors. Here are the top co-authors by number of shared publications:
Cheng-Hao Guo
1 shared publicationFeng-Yu Liu
1 shared publicationHong Zhang
1 shared publication- Huazhong Wang
College of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China
1 shared publication - Jinhui Chen
College of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China
1 shared publication - Lili Wan
College of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China
1 shared publication
Latest Publications
- Open Access
- 29 October 2023
- Published by MDPI AG in Sustainability
- Vol. 15 (21) , 15409
Medium- and Long-Term Prediction of Airport Carbon Emissions under Uncertain Conditions Based on the LEAP Model
As important nodes in the air transport system, it is of great significance for airports to achieve the carbon-peaking goal before 2030 under the target of peaking carbon emissions in China’s civil aviation industry. However, it remains unknown whether airports will be able to realize this ambitious goal due to a variety of uncertain factors, such as the social economy, epidemic impact, and emission reduction measures. According to the possibilities of uncertain factors, 12 uncertain scenarios were constructed. Using the case of Guangzhou Baiyun International Airport (CAN), this study predicted medium- and long-term carbon emission trends under 12 uncertain scenarios based on the Long-range Energy Alternatives Planning System (LEAP) model. Furthermore, the effects of carbon abatement measures and emission reduction responsibilities were analyzed. The results show that CAN cannot guarantee that it will realize the goal under the established abatement policy. If socioeconomic development is rapid, carbon emissions will peak at about 90 kt tons in 2030, and if socioeconomic development is slow, it will plateau at about 1 million tons between 2030 and 2035. What is more, airlines bear the greatest responsibility for reducing emissions, and technological progress measures have the highest abatement potential. This study provides decision support for airport stakeholders in abatement work so as to ensure that airports can achieve the carbon-peaking goal.
- 29 October 2023
- Published by MDPI AG in Sustainability
- Vol. 15 (21) , 15409
Open AccessMedium- and Long-Term Prediction of Airport Carbon Emissions under Uncertain Conditions Based on the LEAP Model
As important nodes in the air transport system, it is of great significance for airports to achieve the carbon-peaking goal before 2030 under the target of peaking carbon emissions in China’s civil aviation industry. However, it remains unknown whether airports will be able to realize this ambitious goal due to a variety of uncertain factors, such as the social economy, epidemic impact, and emission reduction measures. According to the possibilities of uncertain factors, 12 uncertain scenarios were constructed. Using the case of Guangzhou Baiyun International Airport (CAN), this study predicted medium- and long-term carbon emission trends under 12 uncertain scenarios based on the Long-range Energy Alternatives Planning System (LEAP) model. Furthermore, the effects of carbon abatement measures and emission reduction responsibilities were analyzed. The results show that CAN cannot guarantee that it will realize the goal under the established abatement policy. If socioeconomic development is rapid, carbon emissions will peak at about 90 kt tons in 2030, and if socioeconomic development is slow, it will plateau at about 1 million tons between 2030 and 2035. What is more, airlines bear the greatest responsibility for reducing emissions, and technological progress measures have the highest abatement potential. This study provides decision support for airport stakeholders in abatement work so as to ensure that airports can achieve the carbon-peaking goal.
- 28 September 2009
- Published by China Science Publishing & Media Ltd. in Chinese Journal of Computers
- Vol. 31 (7) , 1268-1275
Research on the Application of Artificial Neural Network in the Fine-Grained Software Rejuvenation of Computing System
- 28 September 2009
- Published by China Science Publishing & Media Ltd. in Chinese Journal of Computers
- Vol. 31 (7) , 1268-1275
Research on the Application of Artificial Neural Network in the Fine-Grained Software Rejuvenation of Computing System