Spatial prediction of renewable energy resources for reinforcing and expanding power grids

Park, Beom Jun; Hur, Jin

doi:10.1016/j.energy.2018.09.032

Cited by 32 publications

(8 citation statements)

References 24 publications

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“…Generally, regions with coal-dominated energy structure are less interested in renewable energy upgrade. Moreover, renewable energy generation needs to overcome the reliability issue due to its intermittency and instability, 129 which would negatively influence the secure and reliable operation of power system.…”

Section: Discussionmentioning

confidence: 99%

The achievement, significance and future prospect of China's renewable energy initiative

Sun

2020

Int J Energy Res

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China's high-speed economic growth and ambitious urbanization depend heavily on the massive consumption of fossil fuel. However, the overdependence on the depleting fossil fuels causes severe environmental problems, making China the largest energy consumer and the biggest CO 2 emitter in the world. Faced with significant challenges in terms of managing its environment and moving forward with the concept of sustainable economic development, the Chinese government plans to move away from fossil fuels and rely on renewables such as hydropower, wind power, solar power, biomass power and nuclear power. In this paper, the current status of China's renewable energy deployment and the ongoing development projects are summarized and discussed. Most recent developments of major renewable energy sources are clearly reviewed. Additionally, the renewable energy development policies including laws and regulations, economic encouragement, technical research and development are also summarized. This study showcases China's achievements in exploiting its abundant domestic renewable energy sources to meet the future energy demand and reducing carbon emissions. To move toward a low carbon society, technological progress and policy improvements are needed for improving grid access (wind), securing nuclear fuel supplies and managing safety protocols (nuclear), integrating supply chains to achieve indigenous manufacture of technologies across supply chains (solar). Beyond that, a preliminary prediction of the development of China's future renewable energy developments, and proposes targeted countermeasures and suggestions are proposed. The proposal involves developing smart-grid system, investing on renewable energy research, improving the feed-in tariff system and clarifying the subsidy system.

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Section: Discussionmentioning

confidence: 99%

The achievement, significance and future prospect of China's renewable energy initiative

Sun

2020

Int J Energy Res

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Section: Literature Reviewmentioning

confidence: 99%

Spatial Spillover Effects of Renewable Energy on Carbon Emissions in Less-developed Areas of China

Jun

Kang

et al. 2021

Environ Sci Pollut Res

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The purpose of this paper is to determine the spatial spillover effects of renewable energy on carbon emissions in China's less-developed areas. However, few studies have considered this issue from the perspective of less-developed areas. Based on panel data of 21 provinces in China from 2000 to 2017, this paper investigates the spatial spillover effects of renewable energy on carbon emissions using Moran's I and Spatial Durbin Model (SDM). The results suggest that, first, Moran's I ranges from 0.378 to 0.519, Moran scatter plot presents that provinces are located in the high-high (HH) and lowlow (LL) quadrants, indicating provincial carbon emissions in the study area have a significant spatial correlation and agglomeration. Second, under the three matrices, the direct effect coefficients of renewable energy are -0.2522, -0.2639 and -0.2601, this shows that renewable energy is beneficial to local carbon emissions reduction. In contrast, the indirect effect coefficients of renewable energy are 0.0605, 0.1012 and 0.1125, which means higher renewable energy consumption in a single area is conducive to the improvement of carbon emissions to neighbouring areas. Third, urbanization, industrialization, physical capital and other variables have different 2 impacts on local and nearby carbon emissions. This study provides empirical evidence to achieve carbon emission reduction targets by government policymakers.

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“…At present, it is extensively applied in the fields of the environment and the economy, among others (Acheampong et al 2019). For example, using spatial model optimization, relevant studies proposed a method for estimating and comparing the potential supply of RES and their potential capacity factor (Vettorato et al 2011;Park and Hur 2018). Furthermore, based on the improved spatial analysis model, researchers found that the spatial spillover effect of renewable energy on economic growth exists in European Union (EU) countries.…”

Section: Literature Reviewmentioning

confidence: 99%

Spatial Spillover Effects of Renewable Energy on Carbon Emissions in Less-Developed Areas of China

Bai

Kang

et al. 2021

Preprint

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The purpose of this paper is to determine the spatial spillover effects of renewable energy on carbon emissions in China’s less-developed areas. However, few studies have considered this issue from the perspective of less-developed areas. Based on panel data of 21 provinces in China from 2000 to 2017, this paper investigates the spatial spillover effects of renewable energy on carbon emissions using Moran’s I and Spatial Durbin Model (SDM). The results suggest that, first, Moran’s I ranges from 0.378 to 0.519, Moran scatter plot presents that provinces are located in the high–high (HH) and low-low (LL) quadrants, indicating provincial carbon emissions in the study area have a significant spatial correlation and agglomeration. Second, under the three matrices, the direct effect coefficients of renewable energy are − 0.2522, -0.2639 and − 0.2601, this shows that renewable energy is beneficial to local carbon emissions reduction. In contrast, the indirect effect coefficients of renewable energy are 0.0605, 0.1012 and 0.1125, which means higher renewable energy consumption in a single area is conducive to the improvement of carbon emissions to neighbouring areas. Third, urbanization, industrialization, physical capital and other variables have different impacts on local and nearby carbon emissions. This study provides empirical evidence to achieve carbon emission reduction targets by government policymakers.

show abstract

Spatial prediction of renewable energy resources for reinforcing and expanding power grids

Cited by 32 publications

References 24 publications

The achievement, significance and future prospect of China's renewable energy initiative

The achievement, significance and future prospect of China's renewable energy initiative

Spatial Spillover Effects of Renewable Energy on Carbon Emissions in Less-developed Areas of China

Spatial Spillover Effects of Renewable Energy on Carbon Emissions in Less-Developed Areas of China

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