This paper proposes a charging model to determine the charging load demand of EVs (Electric Vehicles) based on their time-space transfer characteristics in different typical travel days and analyzes the configuration requirements of different charging piles in multi-type urban areas. By dividing travel destinations into five areas types, this paper analyzes the probability characteristics of users’ travel purpose, travel time, driving and parking time distribution, and constructs the time-space transfer travel chain of EVs in different typical days. Then, we establish a charging decision model with two charging modes to calculate charging demands and different charging pile requirements of EVs in different functional areas on different typical days by Monte Carlo simulation and SUMO (Simulation of Urban Mobility). The results may provide suggestions for the planning and configuration of charging piles in different functional areas.

通过梳理江苏省电力能源现状及发展潜力,分析了"十四五"规划期间省内电力需求及电力平衡状况;针对江苏省电源发展不协调、系统运行风险提升的情况,提出考虑广义需求侧资源的电源规划方案,利用广义需求侧资源的可调节特性,配合电网电源侧实现电力系统供应侧和需求侧的双侧协调;通过时序运行模拟仿真,评估不同电源规划方案的经济效益、供电可靠性水平等指标,为江苏电网"十四五"期间的电源规划与发展提供了重要参考依据.

In this paper, an operation and maintenance strategy generating scheme based on network power flow distribution and insulator’s life is proposed. An optimization model with the objective of minimizing operating costs is established, considering constraints of power system and unit operation. This model is implemented to analyze the impact of the insulator’s fault on the power flow distribution and unit output. According to the analysis, a generating method of operation and maintenance strategy considering the insulator’s lifetime is proposed. The effectiveness of the model is verified in IEEE-30 standard arithmetic using a Gurobi solver.

To evaluate the benefits of offshore wind and electrolytic hydrogen on decarbonization in China, this paper presents an assessment of electrolytic hydrogen produced by offshore wind in China's coastal areas. The total coastal energy demand of load and hydrogen in 2050 is provided based on existing growth rates and future energy substitution trends. An optimization model with the goal of minimizing levelized cost of electricity (LCOE) and levelized cost of hydrogen (LOCH) is established to calculate the amount of hydrogen produced by offshore wind power. Finally, the carbon reduction is calculated by substituting hydrogen for traditional energy in the fields of power generation, heat, industry, and transport. The analysis underscores notable benefits of low-carbon system in China and may provide an essential reference for China's carbon neutrality.

Thermoelastic damping (TED) is a crucial dissipation mechanism in the design of high quality factor micro-electro-mechanical system (MEMS) and monocrystalline silicon is a common material used to manufacture MEMS. This paper presents an analytical model for analyzing the TED of the monocrystalline silicon (001) substrate for fully clamped square plate. By comparing the analytical results and the finite element results, the study found that the 1-D model of TED of monocrystalline silicon is only related to the thickness of the thin plate, and the displacement function 2 is more suitable for calculating the TED of monocrystalline silicon thin plate.

Carbon capture systems can transform conventional coal-fired power plants into carbon capture power plants with lower carbon emissions. Based on the analysis of the operational characteristics of carbon capture power plants, the model for the two configuration options of carbon capture systems at the planning level is established. Incorporating carbon capture systems into the generation planning model and giving full consideration to the environmental and economic factors, an optimal configuration method of carbon capture systems is proposed. The effectiveness and practicality of the method are verified by taking the generation planning scheme of a provincial power grid in 2025 as an example.

Since industrialization, the global surface temperature has been on an upward trend, and so far it has had a serious impact on the global ecosystem and socio-economic environment. Therefore, it is necessary to reduce carbon emissions through global joint efforts, maintain the stability of the surface temperature not exceeding 2°C, and achieve global carbon neutrality as soon as possible. Solar energy is the cleanest renewable energy and has good prospects for sustainable development in the future. Installing solar photovoltaic (PV) systems on the roofs of buildings has become the most extensive method of utilizing solar energy. In this study, we used the semantic segmentation method to estimate the solar photovoltaic potential based on identifying roofs from remote sensing images, and then combined the photovoltaic module parameters derived from building features with solar radiation data to evaluate the solar photovoltaic potential. We did experiments in Haizhou Economic Development Zone, Lianyungang City, Jiangsu Province. The results show that the number of available roofs of the photovoltaic system is 671, the available roof area is 925,810 square meters, and the annual photovoltaic power generation potential of the study area is 119,300.97 MW$\cdot$h/year, which has a large solar photovoltaic potential. The method to perform precise calculation of specific rooftop solar PV potential developed in this study will guide the formulation of energy policy for solar PV in the future.