A 0-1 integer programming model for weekly fleet assignment was put forward based on linear network and weekly flight scheduling in China. In this model, the objective function is to maximize the total profit of fleet...A 0-1 integer programming model for weekly fleet assignment was put forward based on linear network and weekly flight scheduling in China. In this model, the objective function is to maximize the total profit of fleet assignment, subject to the constraints of coverage, aircraft flow balance, fleet size, aircraft availability, aircraft usage, flight restriction, aircraft seat capacity, and stopover. Then the branch-and-bound algorithm based on special ordered set was applied to solve the model. At last, a real- wofld case study on an airline with 5 fleets, 48 aircrafts and 1 786 flight legs indicated that the profit increase was ￥ 1 591276 one week and the running time was no more than 4 rain, which shows that the model and algorithm are fairly good for domestic airline.展开更多
针对中国民航高速增长与深度脱碳的矛盾,单一可持续航空燃料(SAF)路径面临技术天花板与需求增长抵消困境。构建融合混合整数规划(MIP)与系统动力学(SD)的FLEET(Flight Legs per Equivalent aircraft Turnover)模型,建立“微观运营-宏观...针对中国民航高速增长与深度脱碳的矛盾,单一可持续航空燃料(SAF)路径面临技术天花板与需求增长抵消困境。构建融合混合整数规划(MIP)与系统动力学(SD)的FLEET(Flight Legs per Equivalent aircraft Turnover)模型,建立“微观运营-宏观政策”双向反馈机制,量化多路径(SAF、新技术飞机及运营优化)协同减排效应。研究发现:SAF掺混比例在0~30%区间,每提升10%可减排12.7%;超30%后,边际效益显著递减,受原料缺口和PtL(Power-to-Liquid)技术瓶颈制约。强制掺混情景(SAF为50%+GDP年增速5.5%)下,2050年,碳排放较2019年仍增73%,其增幅受运输量波动(±0.5%)和SAF实际掺混效率(±5%)影响;最优组合情景(SAF为65%+新技术飞机40%+运营优化30%+市场机制15%)可实现2050年减排49.19%,单位政策激励减排量是单一SAF路径的2.3倍,形成技术互补、成本协同、减排乘数效应,证明了多路径协同的必要性。碳配额价格突破200元·t^(-1)是触发航司技术跃迁的关键阈值,响应存在主体与区域异质性(东部枢纽减排效率1.35 t·万元^(-1)大于西部支线0.87 t·万元^(-1))。本文揭示了中国民航减排需突破单一技术依赖,提出“技术-原料-政策”三阶段协同路线图(2025—2035年HEFA(Hydroprocessed Esters and Fatty Acids)规模化;2035—2045年原料多元化;2045—2050年政策深化),为分阶段政策设计和工程应用提供量化依据。展开更多
基金The National Natural Science Foundationof China (70473037)
文摘A 0-1 integer programming model for weekly fleet assignment was put forward based on linear network and weekly flight scheduling in China. In this model, the objective function is to maximize the total profit of fleet assignment, subject to the constraints of coverage, aircraft flow balance, fleet size, aircraft availability, aircraft usage, flight restriction, aircraft seat capacity, and stopover. Then the branch-and-bound algorithm based on special ordered set was applied to solve the model. At last, a real- wofld case study on an airline with 5 fleets, 48 aircrafts and 1 786 flight legs indicated that the profit increase was ￥ 1 591276 one week and the running time was no more than 4 rain, which shows that the model and algorithm are fairly good for domestic airline.
文摘针对中国民航高速增长与深度脱碳的矛盾,单一可持续航空燃料(SAF)路径面临技术天花板与需求增长抵消困境。构建融合混合整数规划(MIP)与系统动力学(SD)的FLEET(Flight Legs per Equivalent aircraft Turnover)模型,建立“微观运营-宏观政策”双向反馈机制,量化多路径(SAF、新技术飞机及运营优化)协同减排效应。研究发现:SAF掺混比例在0~30%区间,每提升10%可减排12.7%;超30%后,边际效益显著递减,受原料缺口和PtL(Power-to-Liquid)技术瓶颈制约。强制掺混情景(SAF为50%+GDP年增速5.5%)下,2050年,碳排放较2019年仍增73%,其增幅受运输量波动(±0.5%)和SAF实际掺混效率(±5%)影响;最优组合情景(SAF为65%+新技术飞机40%+运营优化30%+市场机制15%)可实现2050年减排49.19%,单位政策激励减排量是单一SAF路径的2.3倍,形成技术互补、成本协同、减排乘数效应,证明了多路径协同的必要性。碳配额价格突破200元·t^(-1)是触发航司技术跃迁的关键阈值,响应存在主体与区域异质性(东部枢纽减排效率1.35 t·万元^(-1)大于西部支线0.87 t·万元^(-1))。本文揭示了中国民航减排需突破单一技术依赖,提出“技术-原料-政策”三阶段协同路线图(2025—2035年HEFA(Hydroprocessed Esters and Fatty Acids)规模化;2035—2045年原料多元化;2045—2050年政策深化),为分阶段政策设计和工程应用提供量化依据。
