Development Status and Prospects of Clean and Efficient Coal-fired Power Technology in China

Yu, Guanyi; Guo, Yueyang

doi:10.1051/e3sconf/201911802059

Cited by 4 publications

(3 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Now that electricity consumed in 2020 is predicted to be 6362.50 TW•h (China Electricity Council, 2020), we project that electricity consumed in 2021 will be 6916.3 TW•h and 9012.72 TW•h in 2030 as shown in Figure 4. Yu and Guo (2019) demonstrated that the cumulative proportion of Sub-C, Super-C and USC coal-fired units is around 79.4% of total installed thermal power capacity, which is echoed by Figure 2B. Thus, we assume that 79.4% of the projected total thermal electricity volume is produced by the coal-fired units.…”

Section: Datamentioning

confidence: 75%

See 1 more Smart Citation

Decarbonization roadmap for China’s energy sector in the context of carbon futures trading: An energy-environment-economy assessment perspective

Li¹,

Li²,

Wei³

et al. 2023

Front. Energy Res.

View full text Add to dashboard Cite

By virtue of the hedging and price discovery function, carbon futures trading may help carbon market function more effectively. Is it necessary to establish carbon futures trading in China? The authorities have endorsed the idea since 2015, however, the scheme has not yet started; no antecedent pre-assessment quantitative research has been carried out. Therefore this study that attempts to fill this gap in the literature, could be of real significance. Through deriving a potential decarbonization roadmap, this study tries to give some clues pertaining to the converted mitigation strategy imposed by carbon futures trading in China. A model chain has been proposed, which is composed of the Optimal Production Decision-making Model for Producers, Life Cycle Impact Assessment, Monetization, and Genetic Algorithm based optimization, to quantify the environmental benefits (including improvements to human health, ecosystem damage and increased temperature induced GDP losses) of the assumed mitigation trajectories. By setting the maximization of environmental benefits as the objective, the optimal decarbonization roadmap with carbon futures trading is derived. Results show that the optimal emission reductions for power enterprises (covered by the carbon market) for the next 10 years (2021–2030) are around 3.27 billion tonnes CO2e. If 36% of this amount is assigned to previously discussed mitigation trajectories, it is found that 106.98 GW ultra-super critical units, 160.85 GW mono-Si PV facilities and 167.26 GW doubly-fed induction generator wind capacity should be installed. Overall environmental benefits are 4.6 trillion CNY2018, over 5% of China’s 2018 GDP. Results demonstrate the optimal emission reductions and potential decarbonization roadmap for China’s power enterprises (those covered by the carbon market) under the context of carbon futures trading, which can be an important reference for the authorities and therefore encourage the establishment of the scheme.

show abstract

Section: Datamentioning

confidence: 75%

“…Trends in the installation of coal-fired units. (A) Technological trends since 1950, the data is referenced from (Yu and Guo, 2019). (B) Components of the installed capacity since 1990, data is collected from (Cui et al, 2020).…”

Section: Figurementioning

confidence: 99%

Decarbonization roadmap for China’s energy sector in the context of carbon futures trading: An energy-environment-economy assessment perspective

Li¹,

Li²,

Wei³

et al. 2023

Front. Energy Res.

View full text Add to dashboard Cite

show abstract

“…Under the background of China's ‘double carbon’ policy and based on China's national conditions, it is necessary to fully characterize the role of coal in the energy field. Clean and efficient utilizations of coal are important goals for the coal industry (Yu & Guo, 2019; Zhang et al., 2017). However, the geological structure of the Yuwang Coal Mine is complex, with faults developed in the northwest and folds in the north (Zou et al., 2023).…”

Section: Introductionmentioning

confidence: 99%

Influencing factors of coal elastic parameters based on the generalized Gassmann equation: A case study in Yuwang colliery, eastern Yunnan province

Che,

Liu,

Zou

et al. 2023

Geophysical Prospecting

View full text Add to dashboard Cite

Coal elastic parameters are an important index reflecting the material composition and porosity, which can be used to guide reservoir evaluation and the safe mining of coal and coalbed methane. In this study, coal samples collected from coal seams #2, #3, #7 + 8 and #9 in the Yuwang colliery, eastern Yunnan, were studied, and the influences of organic matter, ash content and porosity on the elastic parameters of coal samples were investigated. The results show that the elastic parameters of coal are negatively correlated with organic matter content and porosity, and positively correlated with ash content. This means that the bulk modulus and primary‐wave velocity of coal decrease with a gradual increase in organic matter content or porosity and increase with a gradual increase in ash content. The main reason for this is that the ash modulus is typically higher than that of coal. When the ash content gradually increases, the contribution of ash to the equivalent modulus of coal increases, whereas the contribution of organic matter and pores decreases. In this study, the primary‐wave velocity of the target coal seam was fitted based on the generalized Gassmann equation. The calculation results were consistent with the observations and the relative error was within 7%. According to the distribution behaviour of elastic parameters, this provides adequate data support for the prediction of gas content in coal mines and ensures safe and green mining of coal resources.

show abstract

VOC emissions of coal-fired power plants in China based on life cycle assessment method

Yang

Wang³

et al. 2021

Fuel

View full text Add to dashboard Cite

Development Status and Prospects of Clean and Efficient Coal-fired Power Technology in China

Cited by 4 publications

References 11 publications

Decarbonization roadmap for China’s energy sector in the context of carbon futures trading: An energy-environment-economy assessment perspective

Decarbonization roadmap for China’s energy sector in the context of carbon futures trading: An energy-environment-economy assessment perspective

Influencing factors of coal elastic parameters based on the generalized Gassmann equation: A case study in Yuwang colliery, eastern Yunnan province

VOC emissions of coal-fired power plants in China based on life cycle assessment method

Contact Info

Product

Resources

About