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• The substitutional effects of shared mobility result in 371 thousand toe energy savings, and 518 thousand tons CO 2 emission reductions in year 2018. • The activity increase effects of shared mobility raise the energy consumption and emissions. • Shared mobility changes the travelling structure by increasing the rail trips and reducing public bus trips. • Though the share for vehicle kilometers travelled is limited, electric vehicles on the shared platform produce significant environmental benefits, and mutual promotion exists. The shared mobility, as an emerging shared economy business mode, has been changing the travelling style of Chinese citizens. This study draws the annual data in year 2018 from DiDi Chuxing, as well as other survey and statistical data, to evaluate the shared mobility influence on energy consumption, emission and transportation structure, in the comprehensive national level. The results indicate that the substitution effects of shared mobility are conducive to energy saving and emission reduction, by the number of 371 thousand toe for energy savings, as well as 518 thousand tons CO 2 emission reductions, respectively in year 2018. The shared mobility platform could prioritize the transportation structure, and promote the penetration of electric vehicles with better cost returns. The big data from the platform now is used for smart traffic light control, ending up with 47 toe energy savings in 8 applied cities, and other emission reduction benefits. [ABSTRACT FROM AUTHOR]

• Battery transport and logistics to increase renewable use and system flexibility. • Full train transport and carpooling to improve the economics of battery use. • Levelized cost of energy of battery transport & logistics is $0.045/kWh averagely. High share of variable renewable energy is challenging to the traditional power system technically and economically. This calls for a significant increase to the system flexibility, which might result in the costs associated with energy storage and costly upgrades to the traditional transmission and distribution system. This paper presents a multi-stage battery transportation and logistics optimization method to increase the renewable energy consumptions, economics, and mobilities of the battery utilization. A new approach is proposed in which the batteries are charged in the renewable power plants and transported back and forth by railways between the renewable power plants and cities. Based on the forecasts of battery supplies/demands, multiple optimization stages (full train transport and carpooling) are designed by the branch-and-bound algorithm and genetic algorithm respectively. The proposed battery transportation and logistics concept and model are performed using the Beijing-Tianjin-Hebei region in China as an example. The results show that the levelized cost of energy of the battery transportation and logistics model is $0.045/kWh averagely. Also, by the use of mobilized batteries, the proposed battery transportation and logistics model increases the system flexibilities and renewable energy deliveries to the end users without the reinforcement of transmission and distribution system and any constraint from a highly penetrated power system. [ABSTRACT FROM AUTHOR]