The allocation of carbon emission quotas to five major power generation corporations in China

Ma, Chaoqun; Ren, Yi-Shuai; Zhang, Yue‐Jun; Sharp, Basil

doi:10.1016/j.jclepro.2018.04.006

Cited by 51 publications

(20 citation statements)

References 50 publications

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“…Although Fan and Todorova (2017) stated that China's carbon market is still in an early stage and is not functioning well, the technical constraints on power system operation appear to weaken the effect of the carbon pricing adjustment mechanism. Currently, many researchers in China are conducting model analysis under various technical constraints on methods to construct a low-carbon electric power system by utilizing the recently introduced carbon pricing mechanism (Guo et al 2017, Ma et al 2018Zhao et al 2018). To increase the introduction of renewable energy in China using the carbon pricing mechanism, new investment to increase the efficiency of thermal power generation as a dispatchable power supply is necessary first.…”

Section: Literature Reviewmentioning

confidence: 99%

Analysis of inter-regional effects caused by the wide-area operation of the power grid in Japan: an implication for carbon pricing schemes

Nakano

Washizu

2020

Environ Econ Policy Stud

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In this research, we examine the socioeconomic impact of carbon pricing (CP) mechanism-related energy policies under the technical constraints of Japan. For this, we have created the InterRegional Input-Output Table for a Next Generation Energy System (IONGES) in 2030, considering these technical constraints. Namely, we created three InterRegional IONGESs with different assumptions for the widearea operation of the power grid. The results show that the technical constraints of the power grid influence the interregional distribution of renewable energy. Top ten regional renewable energy sectors (TOP10), which has a large production scale, account for approximately 54% of renewable energy generation, which was found to be biased. From the viewpoint of consumers in each region, we analyzed the share of the electricity cost required to support their consumption. If the CP mechanism is implemented under the technical constraints of the current power grid, consumers in each region will be impacted unequally. However, it was found that such inequality will be solved under the wide-area operation of the power grid.

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Section: Literature Reviewmentioning

confidence: 99%

Analysis of inter-regional effects caused by the wide-area operation of the power grid in Japan: an implication for carbon pricing schemes

Nakano

Washizu

2020

Environ Econ Policy Stud

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“…This is repeated until the global satisfactory solution is reached. Therefore, by integrating Equations (1)- (14), equilibrium strategy-based bi-level multi-objective programming model to reduce carbon emissions in CEQA is established as shown in Equation (15).…”

Section: Global Modelmentioning

confidence: 99%

“…The researches of ET have always focused on carbon emissions quota allocation(CEQA). Ma et al developed a bi-level programming model to optimally allocate carbon emission quotas to the corporations based on both fairness and efficiency principles, and then employed a zero sum gains data envelopment analysis model to evaluate the efficiency of the allocation [15]. Li et al set the mixed quota allocation method which was most proper for all 30 provinces in China and considered survival and development, and indicated the proposed method could make 76% of province be in the status of normal operation [16].…”

Section: Introductionmentioning

confidence: 99%

Equilibrium Strategy-Based Optimization Method for Carbon Emission Quota Allocation in Conventional Power Plants

et al. 2018

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Carbon emissions have become significant obstacles to sustainable development. To control carbon emissions, rational carbon emissions quota allocation provides an effective way. As conventional power plants (CPP) are the major contributors to global carbon emissions, this study proposes an equilibrium strategy-based bi-level multi-objective model for carbon emissions quota allocation which fully considers the conflict between the authority and the CPPs, and the conflict between economic development and environmental protection. In addition, uncertainty theory is employed to represent the imprecise parameters in reality. The proposed model is then applied to Shenzhen to show the practicality and efficiency of the proposed model. An interactive algorithm is developed to calculate. Based on results, the proposed method can achieve carbon emissions reductions, cooperative authority-CPPs relationship and economic-environmental coordination. It also indicates that the authority would allocate greater quotas to lower carbon emissions power plants. These results demonstrate the proposed method could help seek optimal allocation policies.

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“…The former focus on the allocation of various fossil and clean energy sources among DMUs to achieve better efficiency values, while the latter focus on the allocation of carbon emissions and carbon trading to regulate the use of energy from the perspective of greenhouse gas emissions. In terms of DMUs, the relevant literature has introduced four categories: nation [6,7,10,11], region [12][13][14], industry [15,16], and company [17]. Scholars have also targeted energy distortion elimination for energy reengineering planning such that economic output and energy efficiency can improve after reengineering (see Chen et al [18]).…”

Section: Introductionmentioning

confidence: 99%

An Optimization Study of Provincial Carbon Emission Allowance Allocation in China Based on an Improved Dynamic Zero-Sum-Gains Slacks-Based-Measure Model

Zheng

Mao

et al. 2022

Sustainability

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In order to achieve its 2030 carbon emission peak target, China needs to adjust and allocate energy consumption and initial carbon emission allowances for each province in a phased and planned manner. Thus, this study applied an improved dynamic undesirable zero-sum-gains slacks-based-measure (ZSG-SBM) model to evaluate provincial CO2 emission reduction scenarios and energy allocation for 2015–2019 and calculate the optimal allocation values of carbon emission allowances for each province in 2030. The results showed that China’s allocation efficiency values for total energy exhibited rising and then declining trends during 2015–2019 and that most input–output term efficiency values had room for improvement. Furthermore, after four adjustment iterations of the improved dynamic undesirable ZSG-SBM model, the modeled China achieved optimal carbon emission efficiency for the whole country. In the final model, 19 provinces were allowed to increase their carbon emissions in 2030, while the remaining 11 provinces needed to reduce their emissions. The findings of this paper can help regulators to establish fairer and more effective policy solutions to promote regional synergistic emission reduction, achieve the national goal of peak total carbon emissions, and promote the green, coordinated, and sustainable development of China’s economy.

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The allocation of carbon emission quotas to five major power generation corporations in China

Cited by 51 publications

References 50 publications

Analysis of inter-regional effects caused by the wide-area operation of the power grid in Japan: an implication for carbon pricing schemes

Analysis of inter-regional effects caused by the wide-area operation of the power grid in Japan: an implication for carbon pricing schemes

Equilibrium Strategy-Based Optimization Method for Carbon Emission Quota Allocation in Conventional Power Plants

An Optimization Study of Provincial Carbon Emission Allowance Allocation in China Based on an Improved Dynamic Zero-Sum-Gains Slacks-Based-Measure Model

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