Assessment of power industry development in China: Possibilities and challenges

Ma, Bin; Liu, Pingkuo; Niu, Dongxiao

doi:10.1063/1.5033478

Cited by 3 publications

(2 citation statements)

References 17 publications

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“…Tan et al ( 2019) using an optimization model found similar results for thermal power generation. Ma et al (2018) found that both TGC planning and the carbon emissions scheme can jointly adjust the structure of power industries.…”

Section: Literature Reviewmentioning

confidence: 99%

A prediction on the impacts of China’s national emissions trading scheme on CO2 emissions from electricity generation

Solaymani

2022

Front. Energy Res.

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One of the government policies that can reduce CO2 emissions is the Emissions Trading Scheme (ETS), which was implemented in the Chinese economy on 16 July 2021. It is the largest ETS in the world, covering 12% of global CO2 emissions. Since this policy has not been experienced in China, it is necessary to predict its impact on CO2 emissions in this country. Furthermore, electricity and heat production is the major contributor to total CO2 emissions from fuel combustion. Therefore, this study attempts to predict the impact of the emissions trading scheme on CO2 emissions from the combustion of coal, oil and natural gas in electricity generation using annual data from 1985 to 2019. For this purpose, this study first predicts CO2 emissions from the combustion of coal, oil and natural gas for electricity generation in power plants using ARIMA and structural Vector Autoregression (SVAR) techniques over the 2020–2030 period. It then estimates the short- and long-run impact of the ETS policy on CO2 emissions from the combustion of coal, oil and natural gas in power plants over the projected period (2020–2030) by employing the ARDL methodology. The results suggest that the ETS policy is effective in reducing the CO2 emissions from the combustion of all fuels in electricity generation over the long-run. This is because of the increase in CO2 emissions from the combustion of these fuels in power plants in the long run, which exceed the threshold value. But in the short-run, it has a negative and statistically significant impact only on CO2 emissions from the natural gas power plants. These results suggest that improving the efficiency of all fuels can significantly reduce CO2 emissions in electricity generation from coal, oil and natural gas in the short- and long-run. They also enable China’s energy policymakers to update the ETS policy in its next phases.

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Section: Literature Reviewmentioning

confidence: 99%

A prediction on the impacts of China’s national emissions trading scheme on CO2 emissions from electricity generation

Solaymani

2022

Front. Energy Res.

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“…Through Equation (15), the extension cloud correlation degree between each index value of the matter element to be evaluated and the standard grade is calculated, and the comprehensive evaluation matrix K of OHDPM level is obtained, as shown in Equation (16):…”

Section: Cloud Association Degree Calculationmentioning

confidence: 99%

Operation Health Assessment of Power Market Based on Improved Matter-Element Extension Cloud Model

Dong¹,

Wang²,

Liu³

et al. 2019

Sustainability

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The complex power system and trading environment in China has led to higher requirements for the efficient and stable operation of the electricity market. With the continuous advancement of power system reforms, regular evaluation of the operation of the market can help us grasp its status and trends, which is of great significance for ensuring its sustainable development. In order to effectively evaluate the current operational status of the electricity market, the concept of operation health degree of power market (OHDPM) is proposed to measure whether the operation is safe, efficient, and sustainable. This paper establishes an improved model framework based on the matter-element extension theory for evaluation. In order to effectively avoid information distortion and loss in the evaluation process, this paper combines the cloud model, matter element extension theory, ideal point method (IPM), and cloud entropy optimization algorithm to deal with this problem. The matter-element extension cloud model (MEECM) can clearly represent the characteristics of the object to be evaluated. IPM is used to determine the weight of the index. For the improved matter-element extension model, the traditional rules of “3En” and “50% relevance” are taken into account, and the method of solving the entropy is optimized. Then, for the correlation degree between the object to be evaluated and the graded normal cloud, the weight vector solved by the IPM is used to weigh the cloud correlation degree, which can give a reliable evaluation result. The health evaluation index system of power market operation includes 16 sub-indicators in five categories: supply side, demand side, coordinated operation, market security, and sustainable development. In the empirical analysis, the OHDPM situation in Y Province was evaluated in May 2019. The results prove that the OHDPM level is medium, and the importance and health level of each index are given. The reliability of the power system, transaction price stability, Lerner index, residual proportion of producers, and user satisfaction have a greater impact on the health status. Finally, in order to verify the validity and stability of the model, different methods are used to evaluate the evaluation objects, and the advantages of OHDPM evaluation based on the model framework proposed in this paper are proven.

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Improving competitive strategic decisions of Chinese coal companies toward green transformation: A hybrid multi-criteria decision-making model

Wang

Cao

2022

Resources Policy

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Assessment of power industry development in China: Possibilities and challenges

Cited by 3 publications

References 17 publications

A prediction on the impacts of China’s national emissions trading scheme on CO2 emissions from electricity generation

A prediction on the impacts of China’s national emissions trading scheme on CO2 emissions from electricity generation

Operation Health Assessment of Power Market Based on Improved Matter-Element Extension Cloud Model

Improving competitive strategic decisions of Chinese coal companies toward green transformation: A hybrid multi-criteria decision-making model

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