Research on CO2 Emission Reduction Mechanism of China’s Iron and Steel Industry under Various Emission Reduction Policies

Duan, Ye; Li, Nan; Mu, Hailin; Gui, Shusen

doi:10.3390/en10122026

Cited by 15 publications

(12 citation statements)

References 46 publications

(38 reference statements)

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“…83% of the heavy industry and 62% of the light industry of Xinjiang are concentrated in this region. A large number of coal-fired power plants, steel mills, and coal-based chemical industries are located in Xinjiang and are the major sources of CO 2 emissions [21]. The study area is the CO 2 -enhanced saline water recovery demonstration site in the eastern part of the Junggar Basin, located on the northern side of the Tian Shan Mountains and approximately 30 km from Fukang, as shown in Figure 1.…”

Section: Geofluidsmentioning

confidence: 99%

Numerical Simulation of the Influence of Geological CO₂ Storage on the Hydrodynamic Field of a Reservoir

Wang

Yang

et al. 2019

Geofluids

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CO2 geological storage in deep saline aquifers is an effective way to reduce CO2 emissions. The injection of CO2 inevitably causes a significant pressure increase in reservoirs. When there exist faults which cut through a deep reservoir and shallow aquifer system, there is a risk of the shallow aquifer being impacted by the changes in reservoir hydrodynamic fields. In this paper, a radial model and a 3D model are established by TOUGH2-ECO2N for the reservoir system in the CO2 geological storage demonstration site in the Junggar Basin to analyze the impact of the CO2 injection on the deep reservoir pressure field and the possible influence on the surrounding shallow groundwater sources. According to the results, the influence of CO2 injection on the reservoir pressure field in different periods and different numbers of well is analyzed. The result shows that the number of injection wells has a significant impact on the reservoir pressure field changes. The greater the number of injection wells is, the greater the pressure field changes. However, after the cessation of CO2 injection, the number of injection wells has little impact on the reservoir pressure recovery time. Under the geological conditions of the site and the constant injection pressure, although the CO2 injection has a significant influence on the pressure field in the deep reservoir, the impact on the shallow groundwater source area is minimal and can be neglected and the existing shallow groundwater sources are safe in the given project scenarios.

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Section: Geofluidsmentioning

confidence: 99%

Numerical Simulation of the Influence of Geological CO₂ Storage on the Hydrodynamic Field of a Reservoir

Wang

Yang

et al. 2019

Geofluids

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“…Similar to Duan et al [66], the government emission reduction policy is a double game problem. Firstly, there is a T 4: e literature and summary information about bounded rationality in industry application.…”

Section: Notations and Explanations As Shown Inmentioning

confidence: 86%

“…Section 5 provides conclusions and policy recommendations for China's steel industry. Figure 1, according to the traditional Chinese geographical division method and reference to Duan et al [66], China is divided into six regions. For data reasons, Tibet, Hong Kong, Macau, and Taiwan are not included.…”

Section: Bronnmann Andmentioning

confidence: 99%

Research on the Influence of Bounded Rationality and Product Differentiation on the Stability of Steel Industry Market

Duan

Zeng-lin

et al. 2020

Discrete Dynamics in Nature and Society

Self Cite

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At present, the problems of homogenization and low quality in China’s iron and steel industry are particularly prominent and the ability of the enterprises to cope with change is insufficient. Adopting product differentiation strategy and dynamic adjustment strategy can allow steel enterprises and the industry to better adapt to future changes. By introducing the product differentiation degree (substitution coefficient) and the bounded rationality strategy to simulate these two strategic means, this paper constructs an extended two-stage dynamic game model to analyse the dynamic game scenarios and steel market stability in China. As new findings, we report the following: (1) The system is more likely to fall into an unbalanced state when multiple enterprises adopt the policy of dynamic output adjustment simultaneously. (2) Enterprises with large output and small output have different output adjustment policies. When enterprises with big-scale output adopt a bit larger adjustment policies, enterprises with small output will be strongly impacted, and the available adjustment space will be sharply compressed. (3) The gradual increase in the difference between products reduces the stability of the market. (4) When product differentiation and bounded rationality strategies coexist, the steel market may fall into an unbalanced state when the degree of product difference increases excessively and the enterprise adopts more drastic output adjustment policies. Therefore, there are pros and cons to product differentiation strategy and bounded rationality adjustment strategy. When each steel oligopoly enterprise formulates a production plan, it needs to comprehensively consider the output changes of the other enterprises and carefully weigh the strategic issues.

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“…According to the planning, the SR of the steel industry should rise to 30% by 2025. On this basis, the production proportions of the BF-BOF and EAF routes are 78% and 22%, respectively (the SRs of the BOF and EAF routes are 10% and 100%, respectively), which are calculated by Formulas (2) and (3). According to Formula (4), the proportion of electricity in the total energy consumption of the steel industry will rise to 18.2%.…”

Section: Production Situationmentioning

confidence: 99%

“…As the world's largest steel producing country, China is a prominent and important global and national case study for scenario analysis, and a number of energy-modeling approaches have been used to analyze its future energy intensity trends and to assess policy support for energy-saving [2][3][4][5][6][7][8]. These can be categorized into two types: bottom-up (BU) and top-down (TD) models.…”

Section: Introductionmentioning

confidence: 99%

Energy-Saving Potential of China’s Steel Industry According to Its Development Plan

Wang

Hongliang³

et al. 2018

Energies

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The energy consumption of China's steel industry accounted for 53% of the global steel industry energy consumption in 2014. This paper aims to analyze the energy saving potential of China's steel industry, according to its development plan of the next decade, and find the key of energy conservation. A multivariate energy intensity (MEI) model is developed for energy saving potential analysis based on the research on China's energy statistics indexes and methods, which is able to capture the impacts of production routes, technology progress, industrial concentration, energy structure, and electricity (proportion and generation efficiency). Different scenarios have been set to describe future policy measures in relation to the development of the iron and steel industry. Results show that an increasing scrap ratio (SR) has the greatest energy saving effect of 16.8% when compared with 2014, and the maximum energy saving potential reaches 23.7% after counting other factors. When considering coal consumption of power generation, the energy saving effect of increasing SR drops to 7.9%, due to the increase on the proportion of electricity in total energy consumption, and the maximum energy saving potential is 15.5%, and they can increase to 10.1% and 17.5%, respectively, with improving China's power generation technology level.Energies 2018, 11, 948 2 of 16The advantages of BU models are the disadvantages of TD models and vice versa. Due to disciplinary and structural differences, these two types of models cannot demonstrate wide ranges of future projection of energy trajectories at both the macroscopic and technical levels. Ref.[10] tried to complement each type model's advantages and disadvantages by exchanging information between a detailed BU model with simplified macroeconomic module; Proença and Aubyn [11] integrated TD and BU models by representing detailed energy technologies within the TD framework; Fujimori etc. Ref.[12] developed an Integrated Assessment Models (IAM)/computable general equilibrium (CGE) model that was integrating detailed energy end-use technologies.These studies focused on coupling existing models without exploring the calculation approach or EI impact factors of the steel industry besides existing ones. According to the development plan issued by the Chinese government in recent years, the production situation of China's steel industry will change significantly by in next decade, including both macro and technical impact factors, such as raw materials, production routes, technology progress, industrial concentration, energy structure, and electricity (proportion in energy consumption and generation efficiency). However, using existing models in early studies cannot comprehensively analyze the future energy consumption trends of China's steel industry, as no existing models are able to capture the influence of all these factors. Furthermore, the energy statistics system are the basis of energy related analysis and research, and data calculated according to their definition and statistical met...

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Research on CO2 Emission Reduction Mechanism of China’s Iron and Steel Industry under Various Emission Reduction Policies

Cited by 15 publications

References 46 publications

Numerical Simulation of the Influence of Geological CO₂ Storage on the Hydrodynamic Field of a Reservoir

Numerical Simulation of the Influence of Geological CO₂ Storage on the Hydrodynamic Field of a Reservoir

Research on the Influence of Bounded Rationality and Product Differentiation on the Stability of Steel Industry Market

Energy-Saving Potential of China’s Steel Industry According to Its Development Plan

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Research on CO2 Emission Reduction Mechanism of China’s Iron and Steel Industry under Various Emission Reduction Policies

Cited by 15 publications

References 46 publications

Numerical Simulation of the Influence of Geological CO2 Storage on the Hydrodynamic Field of a Reservoir

Numerical Simulation of the Influence of Geological CO2 Storage on the Hydrodynamic Field of a Reservoir

Research on the Influence of Bounded Rationality and Product Differentiation on the Stability of Steel Industry Market

Energy-Saving Potential of China’s Steel Industry According to Its Development Plan

Contact Info

Product

Resources

About

Numerical Simulation of the Influence of Geological CO₂ Storage on the Hydrodynamic Field of a Reservoir

Numerical Simulation of the Influence of Geological CO₂ Storage on the Hydrodynamic Field of a Reservoir