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Low-Carbon Development in the Energy Sector

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Energy Sustainability".

Deadline for manuscript submissions: closed (30 June 2023) | Viewed by 5768

Special Issue Editor


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Guest Editor
School of Economics and Management, North China Electric Power University, Beijing, China
Interests: low carbon development; energy structure adjustment and optimization; energy policy analysis

Special Issue Information

Dear Colleagues,

Carbon emissions have caused climate warming on a global scale, which has resulted in an increased threat to people's lives. As one of the main sources of carbon emissions, the energy sector is focused on carbon emission reduction. To reduce the carbon emissions in the energy sector, governments have actively promoted a low-carbon adjustment in production and consumption. However, the effect of the adjustment is unclear. Specifically, the impact of renewable energy development on carbon emissions is not unified. Therefore, this Special Issue in Sustainability aims to analyze the low-carbon development situation in the energy sector and investigate the sustainable development potential in the energy sector.

This Special Issue calls for a deeper discussion about low-carbon development in the energy sector, which contributes to energy structure adjustment and sustainable development. In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:

  • Energy structure adjustment and optimization;
  • Energy policy analysis for low-carbon development;
  • Impacts of energy policies on low-carbon development;
  • Energy transition and low-carbon development;
  • Policy analysis for energy structure reforms.

We look forward to receiving your contributions.

Dr. Xiaopeng Guo
Guest Editor

Manuscript Submission Information

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Keywords

  • energy production and consumption
  • carbon emission reduction
  • clean energy
  • renewable energy
  • environmental and energy policy
  • green production and consumption policy
  • sustainable development

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Published Papers (3 papers)

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Research

23 pages, 1955 KiB  
Article
Benefit Sharing of Power Transactions in Distributed Energy Systems with Multiple Participants
by Jun Dong, Xihao Dou, Dongran Liu, Aruhan Bao, Dongxue Wang, Yunzhou Zhang and Peng Jiang
Sustainability 2023, 15(11), 9128; https://doi.org/10.3390/su15119128 - 5 Jun 2023
Cited by 1 | Viewed by 1472
Abstract
With the rapid advancement of China’s power system reform, various provinces have progressively recognized distributed energy systems as autonomous market participants, and their operational paradigm has transitioned from centralized procurement and sales to market competition. This paradigm shift has presented novel demands for [...] Read more.
With the rapid advancement of China’s power system reform, various provinces have progressively recognized distributed energy systems as autonomous market participants, and their operational paradigm has transitioned from centralized procurement and sales to market competition. This paradigm shift has presented novel demands for the operational efficacy of distributed energy systems within the power market. Presently, China’s distributed energy systems are predominantly managed through collaborative efforts among multiple enterprises. Consequently, during the operational process, it becomes imperative to contemplate how to achieve efficient benefit allocation to ensure the system’s sustainable development. This endeavor also represents a pivotal undertaking in China’s pursuit of its dual-carbon objectives. Therefore, this study endeavors to construct a model for benefit sharing within distributed energy systems, predicated on the distinctive attributes of various stakeholders, in order to facilitate the system’s sustainable progression. Primarily, from the vantage point of the power market and the conduct of system stakeholders, this research scrutinizes key factors that influence benefit allocation, encompassing risk level, profit contribution, and predictive elements. Subsequently, utilizing the CIRTIC anti-entropy weight method Cloud–Shapley methodology, a benefit allocation model is formulated for multiple stakeholders participating in the distributed energy systems market. Finally, the efficacy of the model is substantiated through the simulation and analysis of core stakeholders within the distributed energy system. Simulation results manifest the actual allocation benefits for micro-gas turbines, wind power, and photovoltaics, which amount to CNY 0.941 million, CNY 0.858 million, and CNY 0.881 million, respectively. Moreover, the impacts of risk level, profit contribution, and prediction vary in magnitude concerning the benefit distribution among distinct stakeholders. In future endeavors encompassing post-operational benefit sharing in regional distributed energy systems, it is indispensable to consider the varying influence of different factors on stakeholders, as well as the significance of stakeholders within the system. Full article
(This article belongs to the Special Issue Low-Carbon Development in the Energy Sector)
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14 pages, 1661 KiB  
Article
Spatial Dependence of SO2 Emissions and Energy Consumption Structure in Northern China
by Xiaoyu Yang, Jianqiang Dong and Xiaopeng Guo
Sustainability 2023, 15(3), 2144; https://doi.org/10.3390/su15032144 - 23 Jan 2023
Cited by 1 | Viewed by 1823
Abstract
China has made achievements in SO2 emissions reduction in recent years. However, the emissions of SO2 in northern China remain high, which need to be reduced. To effectively control SO2 emissions in northern China, this paper from the perspective of [...] Read more.
China has made achievements in SO2 emissions reduction in recent years. However, the emissions of SO2 in northern China remain high, which need to be reduced. To effectively control SO2 emissions in northern China, this paper from the perspective of the coordinated treatment of air pollution discusses the impact of energy consumption, economic development, and environmental regulation on SO2 emissions in 14 provinces and regions by the Spatial Lag Model (SLM), Spatial Error Model (SEM), and Spatial Durbin Model (SDM). The study shows that (1) there is an obvious spatial dependence between SO2 emissions and energy consumption; (2) the increase in the scale of industry enterprise can exacerbate SO2 emissions in local and adjacent regions; and (3) the consumption of electricity suppresses SO2 emissions in the local region, and increases SO2 emissions in adjacent regions, which indicated that the electricity transmission can transfer the emissions of SO2. Therefore, in the treatment of SO2, it is necessary to fully consider the characteristics of SO2 transfer in the electric power industry. Full article
(This article belongs to the Special Issue Low-Carbon Development in the Energy Sector)
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20 pages, 4066 KiB  
Article
Research on Industrial and Commercial User-Side Energy Storage Planning Considering Uncertainty and Multi-Market Joint Operation
by Xuejie Wang, Huiru Zhao, Guanglong Xie, Keyao Lin and Juhua Hong
Sustainability 2023, 15(3), 1828; https://doi.org/10.3390/su15031828 - 18 Jan 2023
Cited by 5 | Viewed by 1884
Abstract
With the continuous development of the Energy Internet, the demand for distributed energy storage is increasing. However, industrial and commercial users consume a large amount of electricity and have high requirements for energy quality; therefore, it is necessary to configure distributed energy storage. [...] Read more.
With the continuous development of the Energy Internet, the demand for distributed energy storage is increasing. However, industrial and commercial users consume a large amount of electricity and have high requirements for energy quality; therefore, it is necessary to configure distributed energy storage. Based on this, a planning model of industrial and commercial user-side energy storage considering uncertainty and multi-market joint operation is proposed. Firstly, the total cost of the user-side energy storage system in the whole life cycle is taken as the upper-layer objective function, including investment cost, operation, and maintenance cost. The lower layer takes the economy and environment of energy storage operation as the goal, and considers the ancillary service market revenue, demand response constraints, and operational constraints. Secondly, considering the uncertainty of the power market price, and based on the robust optimization theory, the robust transformation is carried out to effectively deal with the impact of uncertain variables on the system operation. Finally, the model is verified in a typical IEEE 30-node system. The results show that the uncertainty of renewable energy will affect the optimal location and capacity of energy storage. From the results of energy storage location, energy storage will be configured in the important transmission nodes and renewable energy power generation access nodes in the power system. Full article
(This article belongs to the Special Issue Low-Carbon Development in the Energy Sector)
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