Accounting of aviation carbon emission in developing countries based on flight-level ADS-B data

被引:8
|
作者
Wang, Jiqiang [1 ]
Wang, Ya [2 ]
Zhang, Shaohui [3 ,4 ]
Fan, Chun [3 ]
Zhou, Nanqing [3 ]
Liu, Jinhui [3 ]
Li, Xin [3 ]
Liu, Yun [3 ]
Hou, Xiujun [3 ]
Yi, Bowen [3 ,5 ,6 ]
机构
[1] Hebei Normal Univ, Business Coll, Shijiazhuang, Peoples R China
[2] Minist Ind & Informat Technol, Equipment Ind Dev Ctr, Beijing, Peoples R China
[3] Beihang Univ, Sch Econ & Management, Beijing, Peoples R China
[4] Int Inst Appl Syst Anal, Schlosspl 1, A-2361 Laxenberg, Austria
[5] MoE Key Lab Complex Syst Anal & Management Decis, Beijing, Peoples R China
[6] Beihang Univ, Lab Low Carbon Intelligent Governance, Beijing, Peoples R China
基金
中国国家自然科学基金;
关键词
Aviation industry; Carbon emission; Developing countries; Index decomposition analysis; ADS -B data; CO2; EMISSIONS; DECOMPOSITION ANALYSIS; CIVIL-AVIATION; REDUCTION; CHINA;
D O I
10.1016/j.apenergy.2023.122600
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
The aviation industry is one of the key areas to achieve carbon neutrality due to its difficulty in fuel substitution. In developing countries, aviation industry will be in a period of rapid growth for a long time, which means that it will be more affected by the Carbon Offsetting and Reduction Scheme for International Aviation (CORSIA). Therefore, aviation carbon emission reduction in developing countries needs to be paid more attention. This study utilizes the full sample data of global developing countries' fight -level information of June 2018, including a total of 1,048,655 flight data, to account for the aviation fuel consumption, CO2 emissions, and emission intensity of 109 developing countries based on 70 aircraft types. The impacts of aircraft structure and flight pattern on energy efficiency and emission intensity are explored by combining micro fight -level aviation data with spatial index decomposition method. The results show that the average emission intensity of developing countries is actually better than that of developed countries. Most of them are concentrated in the range of 65-85 gCO2 per seat -kilometers. The emission reduction potential of traditional measures in developing countries can theoretically close to 20%, of which about three -fifths comes from the adjustment of aircraft structure, while the remainder comes from the improvement in flight pattern. There is still a lot of room for structural adjustment of long -haul large -sized aircraft in developing countries by avoiding less efficient four -engine aircrafts and choosing more efficient ones in terms of new fleet deployments. But the potential for restructuring of medium-sized aircraft is limited, thus needing to further improve efficiency by increasing flight distance. Large -sized aircraft should be avoided as much as possible within the range that medium-sized aircraft can reach, which is crucial in route planning in many developing countries.
引用
收藏
页数:11
相关论文
共 50 条
  • [21] Aircraft trajectory prediction and aviation safety in ADS-B failure conditions based on neural network
    Zhanji Yang
    Xiaolei Kang
    Yuanhao Gong
    Jiansheng Wang
    Scientific Reports, 13
  • [22] A Method for Computing Flight Operation Fuel Burn and Emissions Based on ADS-B Trajectories
    Wang, Bing
    Li, Jie
    Li, Chi
    Wu, Di
    JOURNAL OF AERONAUTICS ASTRONAUTICS AND AVIATION, 2020, 52 (02): : 183 - 195
  • [23] Flight Test Results of a Measurement-Based ADS-B System for Separation Assurance
    Duan, Pengfei
    De Haag, Maarten Uijt
    Farrell, James L.
    NAVIGATION-JOURNAL OF THE INSTITUTE OF NAVIGATION, 2013, 60 (03): : 221 - 234
  • [24] Particle Filter Based Wind Vector Inversion for ADS-B Data
    Liu, Tao
    Li, Zechen
    BASIC & CLINICAL PHARMACOLOGY & TOXICOLOGY, 2020, 126 : 256 - 256
  • [25] Validation of ADS-B Aircraft Flight Path Data Using Onboard Digital Avionics Information
    Dy, Luigi Raphael, I
    Borgen, Kristoffer B.
    Mott, John H.
    Sharma, Chunkit
    Marshall, Zachary A.
    Kusz, Michael S.
    2021 SYSTEMS AND INFORMATION ENGINEERING DESIGN SYMPOSIUM (IEEE SIEDS 2021), 2021, : 186 - 191
  • [26] Research on Data Resource Availability of ADS-B Based on GPS and Compass
    Ni, Yude
    Wang, Lulu
    Wang, Kai
    2011 INTERNATIONAL CONFERENCE ON ELECTRONICS, COMMUNICATIONS AND CONTROL (ICECC), 2011, : 1619 - 1622
  • [27] ADS-B Data Attack Detection Based on Generative Adversarial Networks
    Li, Tengyao
    Wang, Buhong
    Shang, Fute
    Tian, Jiwei
    Cao, Kunrui
    CYBERSPACE SAFETY AND SECURITY, PT I, 2020, 11982 : 323 - 336
  • [28] A Simplified Framework for Air Route Clustering Based on ADS-B Data
    Quan Duong
    Tan Tran
    Duc-Thinh Pham
    An Mai
    2019 IEEE - RIVF INTERNATIONAL CONFERENCE ON COMPUTING AND COMMUNICATION TECHNOLOGIES (RIVF), 2019, : 36 - 41
  • [29] ADS-B anomaly data detection model based on deep learning
    Ding, Jianli
    Zou, Yunkai
    Wang, Jing
    Wang, Huaichao
    Hangkong Xuebao/Acta Aeronautica et Astronautica Sinica, 2019, 40 (12):
  • [30] A ML-Based System for Predicting Flight Coordinates Considering ADS-B GPS Data: Problems and System Improvement
    Matsuo, Kazuma
    Ikeda, Makoto
    Barolli, Leonard
    ADVANCES IN INTERNET, DATA & WEB TECHNOLOGIES (EIDWT-2022), 2022, 118 : 183 - 189