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• A wind-PV system for powering electrical facilities on highways is proposed. • The system is installed in the medians of highways to avoid occupying extra land. • The system is foldable for easy deployment and self-protection. • Estimation results show that the annual generation of the system reaches 356 GWh. In this paper, a portable wind-photovoltaic power generation system (WPPGS) based on the foldable umbrella mechanism is presented. The proposed WPPGS is installed in the medians of highways, and it can simultaneously capture the solar energy and wind energy produced by running vehicles. The studied system mainly consists of three submodules: a solar harvesting module, a wind-energy-harvesting module and an energy storage module. The whole system is foldable for easy deployment and self-protection. The electricity generated by the wind and solar energy harvesting modules is stored in the energy storage module, which can supply power to the electrical facilities on highways. The Chengdu-Chongqing highway is selected for case study. Theoretical and simulation results show that the annual power generation of the solar harvesting sub-module, wind collection sub-module and entire WPPGS system deployed on all highways in Mainland China can be up to 155 GWh, 201 GWh and 356 GWh, respectively. Furthermore, the wind and solar-energy-harvesting subsystems have appropriate complementarity in time, which indicates that the WPPGS has excellent technical performance throughout the entire year. [ABSTRACT FROM AUTHOR]

This paper investigates a location problem of public charging stations for electric vehicles with the objective of CO 2 emissions minimization through massive GPS-enabled trajectory data. The problem considers two distinct features, including CO 2 emissions generated in round trips to charging stations and remaining electricity restrictions on charging decisions. A data-driven and particle swarm optimization-based intelligent optimization approach is developed to handle this problem. We then present how to implement this approach by using taxi trip data in Chengdu, China as case data and explore how much data could reflect effectively the travel patterns of an area. The results of case study show that one-week taxi trip data are sufficient to handle the investigated problem. The results also validate the necessity of considering two realistic features, including CO 2 emissions in round trips to charging stations and remaining electricity restrictions on charging decisions, in charging station location problems. It can lead to (1) the reduction of daily CO 2 emissions captured by about 0.14–0.37 ha of forests in one year, and (2) 0.85%–2.64% more charging demands being satisfied per day. Flowchart of the proposed intelligent approach. Image 1010 • A location problem of public charging stations based on GPS-enabled trajectory data is studied. • A data-driven PSO-based intelligent optimization approach is proposed. • One-week data could reflect the travel patterns of a region well. • The impacts of two important realistic features are considered. [ABSTRACT FROM AUTHOR]

With the rapid development of urban rail transit, the safety maintenance of subway tunnels has attracted attention in various countries. Tunnel safety monitoring systems are used to ensure the safety of subway operation. This paper presents a new type of self-powered system for WSN nodes in tunnels to solve the power supply problem in subway tunnel safety monitoring systems. This new self-powered system collects wind energy in subway tunnels and converts it into electrical energy for storage and utilization. The system is composed of three parts: electromagnetic wind energy acquisition module, piezoelectric wind energy acquisition module, and power generation energy storage module. The electromagnetic wind energy acquisition module uses the principle of electromagnetic induction to convert wind energy into electrical energy. The piezoelectric wind energy acquisition module uses piezoelectric patches to convert wind energy into electrical energy. The power generation energy storage module converts the collected AC power into DC power, stores it in the supercapacitor, and supplies power to the WSN nodes. Experimental data shows that the energy output power of the system at a wind speed of 7 m/s is 59.31 mW. The Chengdu subway line 2 was selected for case study; the energy consumed by WSN nodes accounts for 49.4%–59.8% of the energy collected by the system. The proposed system can provide continuous and stable power for WSN node systems in subway tunnels. [Display omitted] • A wind energy recovery system based on piezoelectric and electromagnetic power generation is designed. • The s-rotor is improved to adapt energy recovery to two-way and multi-directional wind. • The system is applied in a subway tunnel to supply power for WSN nodes. • The maximum energy output power of the system at a wind speed of 7 m/s is 59.31 mW. [ABSTRACT FROM AUTHOR]