关键词: 碳交易, 资源复用, 组合优化, PSO

Abstract: Most of China's steel enterprises are in the inland, and steel products for export need to be transported to the port by long distance, and then sent to all parts of the world by sea, so the establishment of cooperation between ports and steel enterprises are particularly important. Compared with railway and waterway transportation, the carbon emissions per unit converted turnover of highway transportation are higher. However, inland transportation in China mostly uses road transportation, which aggravates air pollution. This paper puts forward the transportation problem with iron and steel products based on the combined transportation of the “Port before Factory” mode, so as to strengthen the cooperation between ports and steel industries. In order to reduce operation cost and carbon emissions, an optimization model of steel products transportation network is established, which aims at minimizing carbon emission cost, transportation cost, storage cost and time window penalty cost. The particle swarm optimization with ring topology and improved harmony search is designed to solve the model. Finally, the sensitivity analysis of storage cost is carried out to explore its impact on the “Port before Factory” mode. The results show that the “Port before Factory” mode can not only effectively reduce the total cost and carbon emissions in the transportation network, but also enhance the tightness between port and steel enterprises under reasonable storage costs.

Key words: carbon emissions trading, reuse of resources, combination optimization, PSO