为分析省域层面货运物流碳达峰路径,以某省为例,应用长期能源替代规划系统(long-range energy alternatives planning systems,LEAP)模型,预测基准情景和低碳情景下2019—2050年某省货运物流领域的能源需求、CO_(2)排放和减排潜力,并提...为分析省域层面货运物流碳达峰路径,以某省为例,应用长期能源替代规划系统(long-range energy alternatives planning systems,LEAP)模型,预测基准情景和低碳情景下2019—2050年某省货运物流领域的能源需求、CO_(2)排放和减排潜力,并提出碳达峰路径方案。结果表明:基准情景下某省货运物流能源需求和CO_(2)排放均将于2038年左右达峰,低碳情景下达峰时间分别有望提前到2034年、2033年。公路货运的减排潜力巨大,应大力推进“公转铁”“公转水”,不断提高交通工具的能效水平及新能源、清洁能源的应用比例,配套建设新能源与清洁能源基础设施,加快低碳技术在货运物流中的创新应用。展开更多
Shuffled frog leaping algorithm( SFLA) was used to solve multi-objective sequencing problem of mixed model assembly line( MMAL). Local convergence can be avoided and optimal solution can be obtained to a certain exten...Shuffled frog leaping algorithm( SFLA) was used to solve multi-objective sequencing problem of mixed model assembly line( MMAL). Local convergence can be avoided and optimal solution can be obtained to a certain extent. However,the multi-objective sequencing problem of MMAL is an non-deterministic polynomial hard( NP-hard) problem and the shortcomings are slow convergence rate and low precision. To solve the shortcomings for optimization objectives of minimizing total utility time and keeping average consumption rate of parts, a chaos differential evolution SFLA( CDESFLA) is proposed in this study. Because SFLA is easy to fall into local optimum,the evolution operator of differential evolution algorithms is introduced in SFLA as a local search strategy,and differential mutation operator is introduced in chaotic sequence to prevent premature convergence. The examples show that the proposed CDESFLA is better for convergence accuracy than SFLA,genetic algorithm( GA) and particle swarm optimization( PSO)展开更多
未来城市能源供给面临巨大的压力,同时温室气体减排也成为经济发展的一项硬约束.为探索节能减排和低碳发展背景下城市的能源需求和CO2排放变化,本文基于LEAP(Longrange Energy Alternatives Planning System)模型框架,建立起针对基准情...未来城市能源供给面临巨大的压力,同时温室气体减排也成为经济发展的一项硬约束.为探索节能减排和低碳发展背景下城市的能源需求和CO2排放变化,本文基于LEAP(Longrange Energy Alternatives Planning System)模型框架,建立起针对基准情景和节能低碳情景的能源消费和CO2排放的预测技术.以景德镇市为例,利用建立的LEAP模型预测两种情景下能源需求和CO2排放变化.结果表明,节能低碳情景下2020年景德镇市能源需求和CO2排放增速显著减缓,其中能源需求相比基准情景将降低27%,单位产值CO2排放则降低37%.展开更多
文摘为分析省域层面货运物流碳达峰路径,以某省为例,应用长期能源替代规划系统(long-range energy alternatives planning systems,LEAP)模型,预测基准情景和低碳情景下2019—2050年某省货运物流领域的能源需求、CO_(2)排放和减排潜力,并提出碳达峰路径方案。结果表明:基准情景下某省货运物流能源需求和CO_(2)排放均将于2038年左右达峰,低碳情景下达峰时间分别有望提前到2034年、2033年。公路货运的减排潜力巨大,应大力推进“公转铁”“公转水”,不断提高交通工具的能效水平及新能源、清洁能源的应用比例,配套建设新能源与清洁能源基础设施,加快低碳技术在货运物流中的创新应用。
基金National Natural Science Foundation of China(o.61370037)
文摘Shuffled frog leaping algorithm( SFLA) was used to solve multi-objective sequencing problem of mixed model assembly line( MMAL). Local convergence can be avoided and optimal solution can be obtained to a certain extent. However,the multi-objective sequencing problem of MMAL is an non-deterministic polynomial hard( NP-hard) problem and the shortcomings are slow convergence rate and low precision. To solve the shortcomings for optimization objectives of minimizing total utility time and keeping average consumption rate of parts, a chaos differential evolution SFLA( CDESFLA) is proposed in this study. Because SFLA is easy to fall into local optimum,the evolution operator of differential evolution algorithms is introduced in SFLA as a local search strategy,and differential mutation operator is introduced in chaotic sequence to prevent premature convergence. The examples show that the proposed CDESFLA is better for convergence accuracy than SFLA,genetic algorithm( GA) and particle swarm optimization( PSO)
文摘未来城市能源供给面临巨大的压力,同时温室气体减排也成为经济发展的一项硬约束.为探索节能减排和低碳发展背景下城市的能源需求和CO2排放变化,本文基于LEAP(Longrange Energy Alternatives Planning System)模型框架,建立起针对基准情景和节能低碳情景的能源消费和CO2排放的预测技术.以景德镇市为例,利用建立的LEAP模型预测两种情景下能源需求和CO2排放变化.结果表明,节能低碳情景下2020年景德镇市能源需求和CO2排放增速显著减缓,其中能源需求相比基准情景将降低27%,单位产值CO2排放则降低37%.
