A review on China's Energy Storage Industry under the “Internet Plus” initiative

Xie, Pinjie; Sun, Feihu; Wang, Lianghong; Liu, Pingkuo

doi:10.1002/er.4234

Cited by 18 publications

(12 citation statements)

References 20 publications

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“…The increase in environmental concerns such as temperature change, air pollution, and the international energy crisis, and the problem of motor vehicle pollution has become more and more prominent globally [1]. The issue of vehicle pollution has attracted much attention and there have been many studies analyzing it due to its profound impact on the environment.…”

Section: Background Of Battery Electric Vehicle (Bev) Development In mentioning

confidence: 99%

A SEM–Neural Network Approach to Predict Customers’ Intention to Purchase Battery Electric Vehicles in China’s Zhejiang Province

Zhang

Bao

et al. 2019

Sustainability

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As part of the increasing efforts toward the prevention and control of motor vehicle pollution, the Chinese government has practiced a range of policies to stimulate the purchase and use of battery electric vehicles (BEVs). Zhejiang Province, a key province in China, has proactively implemented and monitored an environmental protection plan. This study aims to contribute toward streamlining marketing and planning activities to introduce strategic policies that stimulate the purchase and use of BEVs. This study considers the nature of human behavior by extending the theory of planned behavior model to identify its predictors, as well as its non-linear relationship with customers' purchase intention. To better understand the predictors, a substantial literature review was given to validate the hypotheses. A quantitative study using 382 surveys completed by customers in Zhejiang Province was conducted by integrating a structural equation model (SEM) and a neural network (NN). The initial analysis results from the SEM revealed five factors that have impacted the customers' purchase intention of BEVs. In the second phase, the normalized importance among those five significant predictors was ranked using the NN. The findings have provided theoretical implications to scholars and academics, and managerial implications to enterprises, and are also helpful for decision makers to implement appropriate policies to promote the purchase intention of BEVs, thereby improving the air quality.

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Section: Background Of Battery Electric Vehicle (Bev) Development In mentioning

confidence: 99%

A SEM–Neural Network Approach to Predict Customers’ Intention to Purchase Battery Electric Vehicles in China’s Zhejiang Province

Zhang

Bao

et al. 2019

Sustainability

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“…Energy storage technology represents a great challenge of 21st century [213] due to its different applications. Nowadays, numerous technologies [214] have been developed, such as solar and fuel cells [215,216], high performance batteries [217] and supercapacitors [218], as summarized in Figure 5.…”

Section: Energy Storage Applicationsmentioning

confidence: 99%

A Review of Non-Soil Biochar Applications

et al. 2020

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Biochar is the solid residue that is recovered after the thermal cracking of biomasses in an oxygen-free atmosphere. Biochar has been used for many years as a soil amendment and in general soil applications. Nonetheless, biochar is far more than a mere soil amendment. In this review, we report all the non-soil applications of biochar including environmental remediation, energy storage, composites, and catalyst production. We provide a general overview of the recent uses of biochar in material science, thus presenting this cheap and waste-derived material as a high value-added and carbonaceous source.

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“…The operating temperature of this battery is usually kept at 300 o C to maintain the electrolyte in the liquid form. Sodium-sulfur (Na-S) batteries have energy density of (150-240) W/kg, power density of (150-230) W/kg and they have long cycle life up to (5000-6000) cycles [20]. These batteries are used in electric vehicles, stationary applications, aerospace and forklifts.…”

Section: Sodium-sulfur (Na-s) Batterymentioning

confidence: 99%

Comparative analysis of electrochemical energy storage technologies for smart grid

Salkuti

2020

TELKOMNIKA

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This paper presents a comparative analysis of different forms of electrochemical energy storage technologies for use in the smart grid. This paper addresses various energy storage techniques that are used in the renewable energy sources connected to the smart grid. Energy storage technologies will most likely improve the penetrations of renewable energy on the electricity network. Consequently, energy storage systems could be the key to finally replacing the need for fossil fuel with renewable energy. It is hard to evaluate the different types of energy storage techniques between themselves due to the fact that each technology could be used in a different way and are more like compliments. Subsequently, for the purposes of this paper, it is seen that the use of energy storage technologies will increase the supply, and balances out the demand for energy.

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A review on China's Energy Storage Industry under the “Internet Plus” initiative

Cited by 18 publications

References 20 publications

A SEM–Neural Network Approach to Predict Customers’ Intention to Purchase Battery Electric Vehicles in China’s Zhejiang Province

A SEM–Neural Network Approach to Predict Customers’ Intention to Purchase Battery Electric Vehicles in China’s Zhejiang Province

A Review of Non-Soil Biochar Applications

Comparative analysis of electrochemical energy storage technologies for smart grid

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