{"title":"基于LEAP模型的民航业低碳发展路径","authors":"Ziruo Jia, Junnan Shen","doi":"10.1186/s42162-025-00542-4","DOIUrl":null,"url":null,"abstract":"<div><p>Global climate change and greenhouse gas emissions have become significant challenges requiring urgent solutions. As an energy-intensive sector, the low-carbon transformation of the civil aviation industry plays a critical role in achieving China’s “dual carbon” goals. In this study, taking China’s civil aviation industry as a case study, a multi-scenario dynamic coupling model is constructed based on the LEAP (Long-range Energy Alternatives Planning) model. Using historical data from 2000 to 2024, carbon emissions from 2025 to 2060 are quantitatively simulated and the dynamic feedback mechanisms among demand, energy, technology, and policy modules are systematically analyzed. The results indicate that under dual policy and technological drivers, especially in the scenarios of low-carbon policy and technological progress, carbon emissions in 2050 could be reduced by over 50% compared to the baseline scenario. This study provides a scientific basis for formulating precise low-carbon policies, optimizing the energy structure of civil aviation, and promoting the research and development of new aircraft.</p></div>","PeriodicalId":538,"journal":{"name":"Energy Informatics","volume":"8 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2025-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://energyinformatics.springeropen.com/counter/pdf/10.1186/s42162-025-00542-4","citationCount":"0","resultStr":"{\"title\":\"The low-carbon development path of the civil aviation industry based on the LEAP model\",\"authors\":\"Ziruo Jia, Junnan Shen\",\"doi\":\"10.1186/s42162-025-00542-4\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Global climate change and greenhouse gas emissions have become significant challenges requiring urgent solutions. As an energy-intensive sector, the low-carbon transformation of the civil aviation industry plays a critical role in achieving China’s “dual carbon” goals. In this study, taking China’s civil aviation industry as a case study, a multi-scenario dynamic coupling model is constructed based on the LEAP (Long-range Energy Alternatives Planning) model. Using historical data from 2000 to 2024, carbon emissions from 2025 to 2060 are quantitatively simulated and the dynamic feedback mechanisms among demand, energy, technology, and policy modules are systematically analyzed. The results indicate that under dual policy and technological drivers, especially in the scenarios of low-carbon policy and technological progress, carbon emissions in 2050 could be reduced by over 50% compared to the baseline scenario. This study provides a scientific basis for formulating precise low-carbon policies, optimizing the energy structure of civil aviation, and promoting the research and development of new aircraft.</p></div>\",\"PeriodicalId\":538,\"journal\":{\"name\":\"Energy Informatics\",\"volume\":\"8 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2025-06-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://energyinformatics.springeropen.com/counter/pdf/10.1186/s42162-025-00542-4\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Energy Informatics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://link.springer.com/article/10.1186/s42162-025-00542-4\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"Energy\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Energy Informatics","FirstCategoryId":"1085","ListUrlMain":"https://link.springer.com/article/10.1186/s42162-025-00542-4","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Energy","Score":null,"Total":0}
引用次数: 0
摘要
全球气候变化和温室气体排放已成为迫切需要解决的重大挑战。民航业作为能源密集型行业,其低碳转型对实现中国“双碳”目标至关重要。本文以中国民航业为例,在LEAP (remote Energy Alternatives Planning)模型的基础上,构建了多场景动态耦合模型。利用2000 - 2024年的历史数据,定量模拟了2025 - 2060年的碳排放,系统分析了需求、能源、技术和政策模块之间的动态反馈机制。结果表明,在政策和技术双重驱动下,特别是在低碳政策和技术进步的情景下,2050年的碳排放量可以比基线情景减少50%以上。本研究为制定精准低碳政策、优化民航能源结构、推动新飞机研发提供科学依据。
The low-carbon development path of the civil aviation industry based on the LEAP model
Global climate change and greenhouse gas emissions have become significant challenges requiring urgent solutions. As an energy-intensive sector, the low-carbon transformation of the civil aviation industry plays a critical role in achieving China’s “dual carbon” goals. In this study, taking China’s civil aviation industry as a case study, a multi-scenario dynamic coupling model is constructed based on the LEAP (Long-range Energy Alternatives Planning) model. Using historical data from 2000 to 2024, carbon emissions from 2025 to 2060 are quantitatively simulated and the dynamic feedback mechanisms among demand, energy, technology, and policy modules are systematically analyzed. The results indicate that under dual policy and technological drivers, especially in the scenarios of low-carbon policy and technological progress, carbon emissions in 2050 could be reduced by over 50% compared to the baseline scenario. This study provides a scientific basis for formulating precise low-carbon policies, optimizing the energy structure of civil aviation, and promoting the research and development of new aircraft.