Evaluating the coal rebound effect in energy intensive industries of China

Wei, Wei; Mushtaq, Zulqarnain; Sharif, Maimoona; Xiao-wu, Zeng; Zhang, Wanli; Qaisrani, Mumtaz A.

doi:10.1016/j.energy.2020.118247

Cited by 44 publications

(9 citation statements)

References 47 publications

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“…China’s coal production and consumption ranks first in the world, and its coal resource reserves rank third in the world. , Coalbed methane, as the clean energy associated with coal, has huge development potential and strategic economic value. According to surveys, as of the end of 2019, our country’s cumulative proven coalbed methane geological reserves reached 6586 billion m 3 . − However, a coal and gas outburst is a typical dynamic disaster in the coal mine production process.…”

Section: Introductionmentioning

confidence: 99%

Optimization of the Layer Location of Extraction Wells Based on the Unpressurized Gas Transport Law

Lv,

Guo,

Zhu

et al. 2024

ACS Omega

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Protective layer mining is one of the most effective measures to control outbursts of coal seam gas in coal mines. Accurately grasping the overlying rock movement and pressurerelief gas migration patterns under protective layer mining conditions is a prerequisite for efficient surface coalbed methane extraction; it is the basis for green emission reduction in coal mines. A physical model was established using the Ji 15 -33200 working face of Pingmei Shi Mine as the research object, and a method combining theoretical calculation and numerical simulation was used to obtain the overlying rock movement. In situ stress distribution characteristics of the stope after the upper protective layer was mined to explore the upper protective layer migration rules of pressure-relief gas after mining. On this basis, the location and layer of surface coalbed methane production wells was determined. The research results show that the coal and rock formations on the floor of the goaf experienced a deformation process of compression → expansion → rebalance during the mining process; the stress changes of the overlying and underlying coal strata in the goaf have experienced a process of increasing → decreasing → rebalance; and gas migrates upward through the fissure zone in the coal layer and slowly diffuses in other microfissure areas. When the pressure reaches a certain value, it is enriched in the crack development area and the upper part of the fissure zone; combined with the relevant geological conditions of the study area, it was determined that the upper part of the roof of the Ji 16−17 coal seam is a gas-rich area. By comparing three mining vertical wells at different positions in the horizontal direction, it was found that the extraction effect was significant in the "O″ ring, near the excavation face.

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Section: Introductionmentioning

confidence: 99%

Optimization of the Layer Location of Extraction Wells Based on the Unpressurized Gas Transport Law

Lv,

Guo,

Zhu

et al. 2024

ACS Omega

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“…As highlighted by [4,5], burning of coal causes enormous amounts of GHG emissions; CO 2 are calculated to be 70%, whereas SO 2 and dust are calculated to be 90% and 70%, respectively. As a result, GHG amounts increased by more than 2 Gt compared to 2020 levels, making 2021 the year with the largest annual rise in energy-related CO 2 emissions on record.…”

Section: Introductionmentioning

confidence: 99%

Life Cycle Assessment and Cost–Benefit Analysis as Combined Economic–Environmental Assessment Tools: Application to an Anaerobic Digestion Plant

et al. 2023

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In the present study, using Life Cycle Assessment (LCA) and Cost–Benefit Analysis (CBA), we assess the economic–environmental performance of an anaerobic digestion (AD) plant, fed by cultured crops (i.e., maize and wheat), in Italy. The biogas generated by the AD plant is used for the production of electricity, imputed into the Italian energy grid. The LCA evaluated potential greenhouse gas (GHG) emissions, measured via Carbon Footprint (CF), while the CBA analysed the financial and economic profiles via the Net Present Value (NPV) and Internal Rate of Return (IRR) indicators. The strength of combining these methodologies is the joint examination of the financial and social–environmental performance of the plant. The results of the CBA are complemented with the GHG emissions avoided by producing electricity from biogas. The CF of 0.28 kg CO2eq·kWh−1 of electricity produced is mainly due to the nitrogen fertilizers involved in the production of the additional feedstock matrix (i.e., maize flour). In the CBA, the negative financial NPV and the financial IRR, which is lower than the discount rate applied, highlight the inability of the net revenue to repay the initial investment. Regarding the social desirability, the economic analysis, enriched by the LCA outcomes, shows a positive economic performance, demonstrating that the combination of information from different methodologies enables wider consideration for the anaerobic digestion plant. In line with the Italian Recovery and Resilience Plan’s aim to strongly increase the exploitation of renewable resources, an AD plant fed by dedicated crops could valorise the marginal uncultivated land, obtaining energy without consuming land for food production. Moreover, this AD plant could contribute to the creation of repeatable small-scale energy production systems able to sustain the demand of local communities.

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“…Specially, the rapid economic and industrial growth with comparatively low energy efficiency labeled China as the world's largest energy consumer and carbon emitter [5]. To meet the growing energy demands, China highly depends on coal consumption [6]. Manufacturing industries, such as pressing and smelting of metals, manufacturing of non-metal mineral products and manufacturing of chemical products and materials, are playing a vital role in promoting economic development of the country and uplifting the living standards of citizens.…”

Section: Introductionmentioning

confidence: 99%

Environmental regulation and green innovation of polluting firms in China

Wang

2023

PLoS ONE

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The main objective of this paper is to study the impact of the Ambient Air Quality Standard (2012) on the green innovation of Chinese firms in polluting industries. The analysis features “leverage effect” of Porter Hypothesis imposed by environmental regulations and exploits exogenous variations caused by the promulgation of the new policy. Based on the exogenous variations, this paper uses the time varying PSM-DID method. The findings of this study suggest that the implementation of the new policy improves firms’ green innovation. Increments in R&D investment and environmental protection investment are channels through which the new standard positively affects firms’ green innovation. The cross-sectional heterogeneity analysis exhibits that the effect of this environmental regulation is stronger for firms with bigger size and lower financial constraints. The contribution and significance of this study are as follows: our study enriches understanding of the impact of environmental regulation on firms’ green innovation by empirically confirming the influencing channels of the impact of environmental regulations on green innovation. In addition, this paper contributes to the firms’ green innovation literature by empirically validating the role of corporate characteristics in moderating the effect of environmental regulations.

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Evaluating the coal rebound effect in energy intensive industries of China

Cited by 44 publications

References 47 publications

Optimization of the Layer Location of Extraction Wells Based on the Unpressurized Gas Transport Law

Optimization of the Layer Location of Extraction Wells Based on the Unpressurized Gas Transport Law

Life Cycle Assessment and Cost–Benefit Analysis as Combined Economic–Environmental Assessment Tools: Application to an Anaerobic Digestion Plant

Environmental regulation and green innovation of polluting firms in China

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