scholarly journals Method to evaluate comprehensive economic benefit of hybrid wind power–pumped hydro storage considering the carbon emission trade

2017 ◽  
Vol 2017 (13) ◽  
pp. 1646-1650
Author(s):  
Liu Ya ◽  
Ma Conggan ◽  
Wang Yi
Keyword(s):  
Wind Power ◽  
Economic Benefit ◽  
Carbon Emission ◽  
Carbon Emission Trade

scholarly journals Low-Carbon Economic Bi-Level Optimal Dispatching of an Integrated Power and Natural Gas Energy System Considering Carbon Trading

2021 ◽  
Vol 11 (15) ◽  
pp. 6968
Author(s):  
Hong Li ◽  
Yazhong Ye ◽  
Lanxin Lin
Keyword(s):  
Natural Gas ◽  
Power System ◽  
Wind Power ◽  
Emission Reduction ◽  
Carbon Emission ◽  
Energy System ◽  
Mixed Integer ◽  
Carbon Trading ◽  
Carbon Emission Reduction ◽  
Gas System

The integrated power and natural gas energy system (IPGES) is of great significance to promote the coordination and complementarity of multi-energy flow, and it is an important carrier to increase the proportion of wind power accommodation and achieve the goal of carbon emission reduction. In this paper, firstly, the reward and punishment ladder-type carbon trading model is constructed, and the impact of the carbon trading mechanisms on the carbon emission sources in the power system is comparatively analyzed. Secondly, in order to achieve a reasonable allocation of carbon resources in IPGES, a bi-level optimization model is established while taking into account the economics of dispatching and the requirements of carbon emission reduction. Among them, the outer layer is the optimal carbon price solution model considering carbon trading; in the inner layer, considering the power system constraints, natural gas system constraints, and coupling element operation constraints, a stochastic optimal dispatching model of IPGES based on scenario analysis is established. Scenario generation and reduction methods are used to deal with the uncertainty of wind power, and the inner model is processed as a mixed integer linear programming problem. In the MATLAB environment, program the dichotomy and call the Gurobi optimization solver to complete the interactive solution of the inner and outer models. Finally, case studies that use an integrated IEEE 39-bus power system and Belgian 20-node gas system demonstrate the effectiveness and scalability of the proposed model and optimization method.

Cooperative Dispatch of BESS and Wind Power Generation Considering Carbon Emission Limitation in Australia

2015 ◽  
Vol 11 (6) ◽  
pp. 1313-1323 ◽  
Author(s):  
Yang Zhang ◽  
Herbert Ho-Ching Iu ◽  
Tyrone Fernando ◽  
Fang Yao ◽  
Kianoush Emami
Keyword(s):  
Power Generation ◽  
Wind Power ◽  
Carbon Emission ◽  
Wind Power Generation

scholarly journals Research on the construction of carbon emission model of power generation industry in Jilin province

2022 ◽  
Vol 355 ◽  
pp. 02032
Author(s):  
Weiwei Jiang ◽  
Zhiyu Song ◽  
Zhongyan Wang ◽  
Ping Guo
Keyword(s):  
Power Generation ◽  
Renewable Energy ◽  
Wind Power ◽  
Field Test ◽  
Carbon Emission ◽  
Thermal Power ◽  
Jilin Province ◽  
Emission Model ◽  
Forest Reserves ◽  
Installed Capacity

Although Jilin Province has abundant forest reserves and has a relatively large carbon neutral advantage compared to other provinces, the installed capacity of thermal power is still relatively high, and the installed capacity of renewable energy such as wind power, photovoltaic and hydropower is insufficient. This paper builds a carbon emission model for the power generation industry in Jilin Province based on the characteristics of the power generation industry in Jilin Province and years of field test experience.

scholarly journals Factors Affecting Wind Power Efficiency: Evidence from Provincial-Level Data in China

2021 ◽  
Vol 13 (22) ◽  
pp. 12759
Author(s):  
Xiaoyan Sun ◽  
Wenwei Lian ◽  
Hongmei Duan ◽  
Anjian Wang
Keyword(s):  
Spatial Distribution ◽  
Wind Power ◽  
Influencing Factors ◽  
Emission Intensity ◽  
Power Efficiency ◽  
Carbon Emission ◽  
Clean Energy ◽  
Spillover Effects ◽  
Spatial Effects ◽  
Carbon Emission Intensity

As a significant energy consumer, China is under tremendous pressure from the international community to address climate change issues by reducing carbon emissions; thus, the use of clean energy is imperative. Wind power is an essential source of renewable energy, and improving the efficiency of wind power generation will contribute substantially to China’s ability to achieve its energy-saving and emission reduction goals. This paper measured the wind power efficiency of 30 provinces in China from 2012 to 2017 using the data envelopment analysis (DEA) method. Moran’s I index and the spatial Durbin model were applied to analyse the spatial distribution of the wind power efficiency and the spatial effects of influencing factors. The results show obvious differences in the spatial distribution of wind power efficiency in China; specifically, the wind power efficiency in the eastern and western regions is higher than that in the central areas. Moreover, wind power efficiency has a significant positive spatial correlation between regions: the eastern and western regions show certain high-high clustering characteristics, and the central area shows certain low-low clustering characteristics. Among the influencing factors, the fixed asset investment and carbon emission intensity of the wind power property have a negative impact on the efficiency of regional wind power production, while the urbanization process and carbon emission intensity have significant spatial spillover effects. The optimization of the economic structure, technological innovation and the construction of energy infrastructure are expected to improve the regional wind power efficiency. The results present a new approach for accurately identifying the spatial characteristics of wind power efficiency and the spatial effects of the influencing factors, thus providing a reference for policymakers.

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