Cost efficiency of electric grid utilities in China: A comparison of estimates from SFA–MLE, SFA–Bayes and StoNED–CNLS

Li, Hongzhou; Kopsakangas-Savolainen, Maria; Xing-zhi, Xiao; Tian, Zhenzhen; Yang, Xiaoyuan; Wang, Jianlin

doi:10.1016/j.eneco.2016.02.011

Cited by 39 publications

(18 citation statements)

References 39 publications

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“…They also introduced a Mg‐modified interface to guide uniform Li deposition by using Mg(TFSI) 2 ‐modified PEO‐based electrolytes. [ 126 ] Cryo‐TEM observations display that Mg dots were formed after the reduction of Mg 2+ from Mg(TFSI) 2 additive at the Li/PEO interface (Figure 11i). Cryo‐STEM EDS mapping shows that the uniform distribution of C, O, and Mg within the deposited Li further verifies the formation of the Mg‐modified interface (Figure 11j).…”

Section: Interfacial Chemistry Of Solid Electrolytementioning

confidence: 99%

Cryo‐Electron Microscopy for Unveiling the Sensitive Battery Materials

Yuan

Sheng

et al. 2021

Small Science

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Deep chemical and structural investigation of battery components is increasingly imperative for exploring new electrode materials and their performance iterations for the next‐generation of energy storage devices with high energy density. This is particularly true in the research realm of lithium (Li) metal and its derivatives for the robust anode. Conventionally, both Li metal and its solid electrolyte interphase (SEI) layer are chemically reactive and sensitive to electron‐beam irradiation, making the high‐resolution observation difficult to perform at native environment. Recently, the emergence of cryo‐electron microscopy (EM) has brought great opportunities to reveal the physicochemical properties of these energy materials. By means of cryo‐EM, the high‐resolution imaging of the samples at the nanometer or even atomic scale while maintaining their native state can be realized. Herein, the contributions of cryo‐EM to the characterization of sensitive battery materials are focused on, which are tentatively classified as the following: the visualization of Li dendrites, inactive Li, and the discussion regarding electrode interface chemistry. The review concludes by providing several proposals for the development of cryo‐EM in the future. It is hoped that this work will shed light on the in‐depth understanding of battery materials for high‐performance rechargeable batteries.

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Section: Interfacial Chemistry Of Solid Electrolytementioning

confidence: 99%

Cryo‐Electron Microscopy for Unveiling the Sensitive Battery Materials

Yuan

Sheng

et al. 2021

Small Science

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“…[ 15–17 ] Typically, the SPEs consisting of poly (ethylene oxide) (PEO) and Li bis(trifluoromethane)sulfonimide (LiTFSI) have been broadly studied for LMBs. [ 18–21 ] Several milestone advancements have also been made in the enhancement of ionic conductivity of SPEs and interfacial stability with Li metal.…”

Section: Introductionmentioning

confidence: 99%

Interfacial and Ionic Modulation of Poly (Ethylene Oxide) Electrolyte Via Localized Iodization to Enable Dendrite‐Free Lithium Metal Batteries

Sheng

Liu

et al. 2021

Adv Funct Materials

103

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Solid polymer electrolytes (SPEs) make contact with highly reductive lithium (Li) metal anodes, forming the interphase that largely determines the battery performance. In this work, trace iodine doping in a poly(ethylene oxide) (PEO) electrolyte to achieve a stable interphase on Li metal surface for long battery cycling, is proposed. The triiodide ion (I3−) stemming from iodine additives can coordinate with the COC bond of PEO to enable the increased ionic conductivity of the SPE. The I‐doped interphase contains I3− and IO3−, which spontaneously react with the dead Li and Li2O at the initial interphase to smooth the Li metal surface, eventually leading to significant improvements in interfacial resistance and dendrite suppression. When matching with the LiFePO4 cathode, the full cell exhibits higher capacity (150 mAh g−1) and excellent cycling stability after 300 cycles (capacity retention of 96.5%) at 0.5 C and 50 °C. This work opens up a promising avenue for using halogen to design solid‐state Li metal batteries.

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“…It was found that the overall efficiency level of the power generation industry in China was relatively low-only 0.47. Li (2016) [25] used Bootstrap-DEA correction calculation to analyze the overall technical efficiency of renewable energy generation, including solar PV, wind power and biomass power generation. The research results indicated that with the improvement at the industrial scale and technology level, the overall power generation efficiency in the world was increasingly improved.…”

Section: Introductionmentioning

confidence: 99%

An Empirical Study on the Efficiency and Influencing Factors of the Photovoltaic Industry in China and an Analysis of Its Influencing Factors

et al. 2019

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The photovoltaic (PV) industry in China is still in the early stage of development and is extremely unbalanced; breakthroughs in key technologies are necessary. To achieve high efficiency and sustainable development, it is important to identify the bottleneck of the whole industry chain through the analysis of overall industrial technical efficiency. Based on the current situation of the PV industry, this study builds the data envelopment analysis (DEA) model to respectively evaluate the efficiency of PV devices and power generation in the PV industrial chain. The Tobit model is used to conduct an empirical analysis of the factors affecting the efficiency of the PV industry. The results show that the industrial efficiency of PV devices is at a medium level and that it is necessary to strengthen regulation and awareness at the industrial scale. However, the PV power generation industry as a whole is at a low efficiency level, especially the inadequate technical level, which has a negative impact on the improvement of industrial efficiency. Finally, countermeasures and suggestions at the enterprise and government level are put forward to improve the efficiency of the PV industry in China.

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Cost efficiency of electric grid utilities in China: A comparison of estimates from SFA–MLE, SFA–Bayes and StoNED–CNLS

Cited by 39 publications

References 39 publications

Cryo‐Electron Microscopy for Unveiling the Sensitive Battery Materials

Cryo‐Electron Microscopy for Unveiling the Sensitive Battery Materials

Interfacial and Ionic Modulation of Poly (Ethylene Oxide) Electrolyte Via Localized Iodization to Enable Dendrite‐Free Lithium Metal Batteries

An Empirical Study on the Efficiency and Influencing Factors of the Photovoltaic Industry in China and an Analysis of Its Influencing Factors

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