Search

The high-valence V5+ can improve the discharge capacity and coulomb efficiency and inhibit the voltage attenuation of cathode materials.

The progress of aqueous zinc batteries (AZBs) is limited by the poor cycling life due to Zn anode instability, including dendrite growth, surface corrosion, and passivation. Inspired by the anti-corrosion strategy of steel industry, a compounding corrosion inhibitor (CCI) is employed as the electrolyte additive for Zn metal anode protection. It is shown that CCI can spontaneously generate a uniform and ≈30 nm thick solid-electrolyte interphase (SEI) layer on Zn anode with a strong adhesion via Zn-O bonding. This SEI layer efficiently prohibits water corrosion and guides homogeneous Zn deposition without obvious dendrite formation. This enables reversible Zn deposition and dissolution for over 1100 h under the condition of 1 mA cm−2 and 1 mAh cm−2 in symmetric cells. The Zn-MnO2 full cells with CCI-modified electrolyte deliver an ultralow capacity decay rate (0.013% per cycle) at 0.5 A g−1 over 1000 cycles. Such an innovative strategy paves a low-cost way to achieve AZBs with long lifespan. Ministry of Education (MOE) Submitted/Accepted version This work was supported by the National Natural Science Foundation of China (52272258), the Fundamental Research Funds for the Central Universities (No. 2021JCCXJD01), and Key R & D and transformation projects in Qinghai Province (2021-HZ-808) and Hebei Province (21314401D). H.J.F. acknowledges financial support from the Singapore Ministry of Education by Academic Research Fund Tier 2 (MOE-T2EP50121-0006). J.-L.Y. is thankful to the financial support by the China Scholarship Council (No. 202006210070).

A novel electrocatalyst of hollow nitrogen-doped carbon tubes with coexisting M–N–C single atoms and alloy nanoparticles (denoted FexCoyNiz@hNCTs) shows excellent bifunctional electrocatalytic performances.

The flexible self‐supporting electrode can maintain good mechanical and electrical properties while retaining high specific capacity, which meets the requirements of flexible batteries. Lithium‐sulfur batteries (LSBs), as a new generation of energy storage system, hold much higher theoretical energy density than traditional batteries, and they have attracted extensive attention from both the academic and industrial communities. Selection of a proper substrate material is important for the flexible self‐supporting electrode. Carbon materials, with the advantages of light weight, high conductivity, strong structural plasticity, and low cost, provide the electrode with a large loading space for the active material and a conductive network. This makes the carbon materials meet the mechanical and electrochemical requirements of flexible electrodes. In this paper, the commonly used fabrication methods and recent research progresses of the flexible self‐supporting cathode with a carbon material as the substrate are introduced. Various sulfur loading methods are summarized, which provides useful information for the structural design of the cathode. As the first review article of the carbon‐based flexible self‐supporting LSB cathodes, it provides valuable guidance for the researchers working in the field of LSB.

The notorious shuttle effect has long been obstructing lithium-sulfur (Li-S) batteries from yielding the expected high energy density and long lifespan. Herein, we develop a multifunctional polysulfide barrier reinforced by the graphitic carbon nitride/carbon nanotube (g-C3N4/CNT) composite toward inhibited shuttling behavior and improved battery performance. The obtained g-C3N4 delivers a unique sponge-like architecture with massive ion transfer pathways and fully exposed active interfaces, while the abundant C-N heteroatomic structures impose strong chemical immobilization toward lithium polysulfides. Combined with the highly conductive agent, the g-C3N4/CNT reinforced separator is endowed with great capability of confining and reutilizing the active sulfur within the cathode, thus contributing to an efficient and stable sulfur electrochemistry. Benefiting from these synergistic attributes, Li-S cells based on g-C3N4/CNT separator exhibit an excellent cyclability with a minimum decay rate of 0.03% per cycle over 500 cycles and decent rate capability up to 2 C. Moreover, a high areal capacity of 7.69 mAh cm−2 can be achieved under a raised sulfur loading up to 10.1 mg cm−2, demonstrating a facile and efficient pathway toward superior Li-S batteries.

Lithium (Li) metal with high specific capacity and low redox potential is widely considered as a potential anode for lithium-ion batteries (LIBs) with high energy density. However, the catastrophic dendrites growth, “dead Li” formation, and surface passivation hinder its practical application. Herein, a selective artificial solid electrolyte interphase (SEI) layer (Li2Sx, x = 1, 2) protection strategy is adopted, where the tip sites passivation and the uniform Li nucleation in grooves are well combined, which enables reversible Li stripping/plating with high storage capacity and robust electrode framework. The grooves derived patterned array Li with selective Li2Sx artificial SEI (LS@A-Li) exhibit over 1800 h cycling life at 1.0 mA cm–2/1.0 mAh cm–2 and over 600 h even under 5.0 mA cm–2/10.0 mAh cm–2. The application feasibility of such LS@A-Li is also confirmed by coupling with commercial LiFePO4 and LiNi0.5Co0.2Mn0.3O2 (NCM523) in the full batteries. This work paves way for the large-scale application of Li metal anode in lithium-metal batteries with a facile and efficient fabrication process. J.D. and J.-L.Y. contributed equally to this work. This work was supported by the talents project of Beijing Municipal Committee Organization Department (No. 2018000021223ZK21), the Fundamental Research Funds for the Central Universities (No. 2021JCCXJD01), Key R & D and transformation projects in Qinghai Province (2021-HZ-808) and Hebei Province (21314401D).

Li-S batteries (LSBs) have attracted worldwide attention owing to their characteristics of high theoretical energy density and low cost. However, the commercial promotion of LSBs is hindered by the irreversible capacity decay and short cycling life caused by the shuttle effect of lithium-polysulfides (LiPSs). Herein, a hybrid interlayer consisting of MoO

Emergencies will bring the great threat to the stability and coordination of supply chain, such as temporary interruption of raw materials supply, strong fluctuation of demand and distorted information transmission, which will lead to the breakdown of whole supply chain and threaten the survival of enterprises in supply chain. Based on the influence factors of emergency diffusion and supply chain structure in uncertain environment, this paper studies the diffusion effect of emergency and establishes an improved Bass diffusion model. On this basis, information diffusion simulation is carried out. Finally, management suggestions are proposed on supply chain emergency diffusion in uncertain environment.

Obtaining a multiresource allocation scheme for multitask influenced by uncertain factors is a critical problem in a collaborative logistics network. This paper presents an optimal allocation model of fuzzy resources for multistage random logistics tasks based on the six-point trapezoidal fuzzy number and the membership function. Besides, considering task demands and resource constraints, a new cost–time–quality multiobjective programming of N–N task–resource assignment is introduced, which can be divided into minimize total logistics cost and execution time, maximize total service quality. Furthermore, by setting the different simulation scenarios, the results show that if the decision maker has a higher risk preference and pursues the optimization of single or multiobjective, the higher degree membership and satisfaction function values can be obtained with a larger compensation coefficient. The allocation scheme of task–resource assignment generated by proposed model has a high global level of utilization efficiency, which can effectively utilize fuzzy resources in collaborative logistics network, and avoid resource shortage caused by the excessive occupation of local resources.

The routing optimization of yard trailers in container terminal is an important issue for vehicle dispatching. Whether the vehicle dispatch is reasonable will determine the circulation efficiency of the container terminal. In order to better optimize the yard trailers routing under stochastic demand, a two-stage optimization model is established in this paper considered the constraint of vehicle capacity and travel distance, which aims at planning and determining the travel routing of the trailers and the operating sequence. To solve the two-stage optimization model, a particle swarm optimization algorithms (PSO) algorithm with exponentially decreasing weight strategy is introduced to search for a satisfied solution to ensure the feasibility of distribution plan and vehicle routing. And the optimal results of the simulation experimental reveal that satisfied solutions can be obtained by employing the two-stage optimization model constructed in this paper, which further verified the feasibility and validity of the optimization model and algorithm. The two-stage optimization model provides a practical and effective method to solve the trailers routing dispatching in container terminals under stochastic demand.

The study of matching degree between energy equipment manufacturing and market demand is crucial for energy enterprises to adjust business strategies, expand market share, and develop sustainably. Considering that the current electricity market evaluation indicators are rarely selected from a global perspective and a single evaluation method may lead to one-sided results, this article takes the technology and equipment related to electric energy as the research object and selects six indicators, including technical standards, qualification certification, export methods, after-sales service, market concentration, and product concentration. By analyzing the supply and demand characteristics of major global regional markets and the situation of Chinese power enterprises in these markets, we propose matching model cluster including osculating value method, rank-sum ratio method, ideal point method, entropy value method, and efficacy coefficient method to conduct the matching degree study. The results show that the overall market matching degree of Chinese power companies is good, especially in Southeast Asia, Central Asia, and Africa. For markets with a low degree of matching, we analyze the reasons based on the matching indicators values to provide companies with corresponding strategies and recommendations.

We analyse the direction of the energy revolution from the dimensions of cleanness, electrification, intelligence, and ubiquity. Based on this, we highlight the importance of electricity in the Energy Internet and analyse the challenges faced by the development of the power grid. Then, we propose an electricity-centered energy comprehensive optimization model and set up baseline scenario and carbon neutral scenario, to achieve a systematic simulation of the path of Energy Internet to boost energy transition. The results show that the Energy Internet accelerates the process of clean energy supply, effectively promotes the development of the energy transition, and contributes to the realization of the carbon neutral goal. There are still many problems in the development of the Energy Internet. In order to accelerate the transformation of the energy system and the power industry, it is necessary to establish a sound energy policy system, encourage clean energy consumption, and use the construction of the Energy Internet to achieve optimal allocation of resources.

Under the “going global” policy and the “the belt and road initiative” initiative, Chinese electrical enterprises have launched overseas markets one after another. However, due to political, economic, cultural and other reasons, Chinese electrical enterprises face a series of risks such as management, politics, law, finance and so on in the international market. This paper provides reference for Chinese electrical enterprises to “Going Global” by analyzing relevant risks.

A mixed transportation problem with centralized and decentralized transportation is proposed in collaborative logistics network. All tasks can be centralized to transport for once, twice or transported directly to destination node. A route optimization programming model to minimize the total costs is proposed in consideration of cost discount, road section capacity, overload penalty, advance delivery cost and hard time window. The hybrid genetic tabu search algorithm is presented to solve the model. To test the feasibility and validity of proposed model and hybrid algorithm, a simulation example is presented and solved. The optimal solution of experiment shows that the hybrid algorithm can obtain better solution, better convergence speed and high calculation efficiency.

Graphical abstractDisplay Omitted HighlightsProposes a general two-staged decision framework for DU-CLNDOP.Adds the robust constraints into the expected value model.Utilizes the orthogonal experiment design method to select the optimal scheme. Collaborative logistics networks (CLNs) are considered to be an effective organizational form for business cooperation that provides high stability and low cost. One common key issue regarding CLN resource combination is the network design optimization problem under discrete uncertainty (DU-CLNDOP). Operational environment changes and information uncertainty in network designs, due to partner selection, resource constrains and network robustness, must be effectively controlled from the system perspective. Therefore, a general two-stage quantitative framework that enables decision makers to select the optimal network design scheme for CLNs under uncertainty is proposed in this paper. Phase 1 calculates the simulation result of each hypothetical scenario of CLN resource combination using the expected value model with robust constraints. Phase 2 selects the optimal network design scheme for DU-CLNDOP using the orthogonal experiment design method. The validity of the model and method are verified via an illustrative example.

A type of tunable particles consisting of a soft poly(N-isopropylacrylamide) (PNIPAM) core and a solid shell were directly synthesized in toluene via a facile one-pot copolymerization of N-isopropylacrylamide (NIPAM), (3-Methacryloyloxypropyl)methyldiethoxysilane (MADS), and N,N′-methylenebis(2-propenamide) (MBA). Of particular concern is the shells’ potential to burst due to the swelling and expansion of the PNIPAM core after soaking in water, resulting in an outflow of the core. The toughness of the particle shells could be tuned by altering the feed ratio of MADS or MBA relative to NIPAM, resulting in a series of morphologies that varied from resembling a broken egg to being deformed core-shell spheres. The morphologies could be further modulated by dispersing the particles in different solvents.

The adjustment of global power structure will have effects on business model of power contracting service industry. According to the research scheme of “characteristic analysis-current situation analysis-mode selection” firstly, we adopt concentration rate index to summarize market characteristics. Then, to clarify current situation of power market development, it analyzes the influencing factors of market expansion, and also use method to list strengths, weakness, opportunities and threats of power market. Based on the previous analysis, and together with service strategy, this paper builds a market development strategy model, formulating three kinds of specific business model.

Based on empirical evidence from Yangtze River Delta, Pearl River Delta and Circum-Bohai-Sea region, this study applies the Input-Output (I-O) model and ArcGIS to analyze the interdependence and its dynamic evolution of the shipbuilding industry. In order to study the change cause of shipbuilding industrial structure, we decompose the I-O model to obtain the influential factors including domestic final demand, overseas export demand, intermediate input, intermediate demand import and final demand import. The results indicate that (1) the shipbuilding industry has a significant interdependence, which has showed the characteristics of high integration and interaction. Among the three different regions, the degree of interdependence of the Yangtze River Delta is most significant, followed by the Pearl River Delta and the Circum-Bohai region. (2) The interaction and integration of the shipbuilding industry have the trend of synchronous development. From the initial S-shapes of coastal distribution, the interaction gradually expands to inland cities radially. (3) The dependence of the shipbuilding industry has reduced but the self-supporting effect continuously strengthened, and industrialization is accelerating, which indicates the shipbuilding industry will further promote the optimization of industrial structure. (4) Shipbuilding industry has been expanding a lot, the main causes of changes in industrial structure are different, and the effect of intermediate inputs change plays a significant role in the Yangtze River Delta. In the Pearl River Delta, it is the changes effect of foreign export demand that counts. However, it is the effect of the final demand that makes contribution to the industrial structure change in Circum-Bohai-Sea region.

In order to more effectively study the resource optimization problem of complex manufacturing collaborative logistics network, the study combines the features of complex manufacturing, has a system analysis for complex manufacturing collaborative logistics network and expect to have a better understand about its internal composition. Therefore, under the guidance of Synergetic and dissipative structure theory, the study introduces the hyper cycle dynamical concurrence idea, measures the orderly operation of complex manufacturing collaborative logistics network from synergy degree, stability and self-organization three angles.