Analysis of the generation efficiency of disaggregated renewable energy and its spatial heterogeneity influencing factors: A case study of China

Yu, Bolin; Fang, Debin; Meng, Jingxuan

doi:10.1016/j.energy.2021.121295

Cited by 52 publications

(28 citation statements)

References 58 publications

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“…The energy transition remains urgent in China [ 10 ]. In recent years, China has witnessed the unprecedented development of the renewable energy industry [ 11 ]. It has been demonstrated that China’s renewable energy development has a significant positive relationship with carbon emissions in the long term, but not in the short term [ 12 ].…”

Section: Introductionmentioning

confidence: 99%

Towards Carbon Neutrality: The Impact of Renewable Energy Development on Carbon Emission Efficiency

Dong

Qin

Zhang

et al. 2021

IJERPH

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The energy transition and carbon emission efficiency are important thrust and target functions, respectively, for achieving carbon neutrality in the future. Using a sample of 30 Chinese provinces from 2006 to 2018, we measured their carbon efficiency using the game cross-efficiency data envelopment analysis (DEA). Then, a random forest regression model was used to explore the impact of renewable energy development on regional carbon emission efficiency. The results are as follows. First, China’s carbon emission efficiency in the southeast coastal area was better than that in the northwest area. Second, renewable energy development first inhibited and then promoted carbon emission efficiency, and there existed a reasonable range. Third, through a regional heterogeneity analysis, the trend of the influence of renewable energy development on carbon emission efficiency was found to not be significantly different in eastern, central, and western China, but there was a certain gap in the reasonable range. Our study not only helps to promote the study of renewable energy development and the carbon neutral target, but also provides an important reference for Chinese policy-makers to design a reasonable carbon emissions reduction path.

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Section: Introductionmentioning

confidence: 99%

Towards Carbon Neutrality: The Impact of Renewable Energy Development on Carbon Emission Efficiency

Dong

Qin

Zhang

et al. 2021

IJERPH

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“…Moreover, the regions with great potential for solar PV power are concentrated in North China, including Shandong (4.9 TW h), Hebei (3.1 TW h), and Shanxi (2.1 TW h). 46 Their local governments could promote the development of solar PV power via both centralized and distributed installation through incentives policies for example.…”

Section: Ghg Intensities Of Power Generation Of Regional Power Gridsmentioning

confidence: 99%

“…The total amount of hydropower generation in China in 2017 was about 1193.1 TW h, and there is still nearly 1253.9 TW h to be developed. 46 As a traditional renewable power, hydropower is relatively mature technically and the future development is mainly affected by geographical resources and environmental policies. 47 According to the guidelines of the Action Plan for Carbon Emission Peak and Neutrality, 48 hydropower should be further developed, especially in Southwest China where water resources is underused.…”

Section: Ghg Intensities Of Power Generation Of Regional Power Gridsmentioning

confidence: 99%

Life cycle analysis of greenhouse gas emissions of China's power generation on spatial and temporal scale

Zhu

Wang

2022

Energy Science & Engineering

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In this study, the “cradle‐to‐gate” greenhouse gas (GHG) intensities of six types of power generation in China are analyzed using a life cycle assessment approach, including wind power, solar photovoltaic power, nuclear power, hydropower, biomass power, and thermal power. According to the mix of regional power grids in China and GHG intensities of various types of power generation, the GHG intensities of hybrid power on regional power grid scale are calculated. The results show that they are closely corresponding to the grid mix of each region. Besides, the value of northeast China is the highest and the largest variation between regions is about twice. Furthermore, the efforts made by the Chinese government promoting energy shift are expected to accelerate the decrease of the electricity system GHG intensity to 376.9 gCO2‐eq/kW h by 2035, about 51.0% lower than that in 2017. And the total GHG emissions are predicted to reach 4.5 × 109 tCO2‐eq in 2035, while in “below 2°C” scenario this value will decrease to 3.6 × 109 tCO2‐eq. This study compiles the life cycle inventory of China's electricity generation on spatial and temporal scale, and can provide suggestions on the development of regional and national electricity systems.

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“…Renewable energy generation such as hydro, wind and solar power is susceptible to stochastic factors such as climate, resources and geographical conditions (Balali et al 2017). In their study, Yu (Yu et al 2021), Zhao(2019), Shen (Shen et al 2015), Zhang(2022), et al found that environmental and stochastic factors have an impact on efficiency assessment, and used the stochastic frontier analysis method, a three-stage DEA model, and a three-stage SBM-DEA model to assess the provincial renewable energy generation efficiency in China, the provincial energy efficiency in China and the energy efficiency in 13 RCEP countries. In addition, static cross-sectional comparisons using the relative efficiency of different DMUs over the same period do not reflect the dynamics of the generation sector over time.…”

Section: Literature Reviewmentioning

confidence: 99%

Analysis of renewable energy generation efficiency and its influencing factors considering competition between decision making units: A case study of China

Yang

Dong

2022

Preprint

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Currently, China's renewable energy power generation industry is facing problems such as mismatch between output and input, and regional imbalance in power generation efficiency. Measuring power generation efficiency and identifying the key constraints to improving it is an important way of exploring measures to improve power generation efficiency from a management perspective. This paper constructs a system of input-output assessment indicators for the efficiency of renewable energy generation in China, and evaluates and analyses the efficiency of hydro, wind and solar power generation in each province of China for the period 2016–2020 using the DEA game cross-efficiency model. The results show widespread inefficiencies and uneven regional development in the three renewable energy generation industries. The hydropower generation efficiency changed little, the wind power generation efficiency decreased slightly, and the solar power generation efficiency gradually increased. On this basis, the key factors affecting the efficiency of hydro, wind and solar power generation in China were analyzed separately through the Tobit model. The results show that natural resources, grid conditions, and inter-provincial power transmission are important factors in improving the efficiency of renewable energy generation. This paper also makes recommendations for improving the efficiency of renewable energy generation in China in terms of policy formulation, technology promotion and grid construction.

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Analysis of the generation efficiency of disaggregated renewable energy and its spatial heterogeneity influencing factors: A case study of China

Cited by 52 publications

References 58 publications

Towards Carbon Neutrality: The Impact of Renewable Energy Development on Carbon Emission Efficiency

Towards Carbon Neutrality: The Impact of Renewable Energy Development on Carbon Emission Efficiency

Life cycle analysis of greenhouse gas emissions of China's power generation on spatial and temporal scale

Analysis of renewable energy generation efficiency and its influencing factors considering competition between decision making units: A case study of China

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