Study on development potential of newly added wind power heating in Beijing–Tianjin—Hebei under carbon emission reduction

2021 ◽  
Author(s):  
Weijun Wang ◽  
Xinna Qiao
Keyword(s):  
Wind Power ◽  
Emission Reduction ◽  
Carbon Emission ◽  
Development Potential ◽  
Carbon Emission Reduction

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.

scholarly journals Development and Utilization of Renewable Energy Based on Carbon Emission Reduction—Evaluation of Multiple MCDM Methods

2021 ◽  
Vol 13 (17) ◽  
pp. 9822
Author(s):  
Tao Li ◽  
Ang Li ◽  
Yimiao Song
Keyword(s):  
Renewable Energy ◽  
Wind Power ◽  
Carbon Emissions ◽  
Emission Reduction ◽  
Carbon Emission ◽  
Carbon Intensity ◽  
High Carbon ◽  
Carbon Emission Reduction ◽  
Photovoltaic Power ◽  
Development And Utilization

With the proposed target of carbon peak and carbon neutralization, the development and utilization of renewable energy with the goal of carbon emission reduction is becoming increasingly important in China. We used the analytic hierarchy process (ANP) and a variety of MCDM methods to quantitatively evaluate renewable energy indicators. This study measured the sequence and differences of the development and utilization of renewable energy in different regions from the point of view of carbon emission reduction, which provides a new analytical perspective for the utilization and distribution of renewable energy in China and a solution based on renewable energy for achieving the goal of carbon emission reduction as soon as possible. The reliability of the evaluation system was further enhanced by confirmation through a variety of methods. The results show that the environment and carbon dimensions are the primary criteria to evaluate the priority of renewable energy under carbon emission reduction. In the overall choice of renewable energy, photovoltaic energy is the best solution. After dividing regions according to carbon emission intensity and resource endowment, areas with serious carbon emissions are suitable for the development of hydropower; areas with sub-serious carbon emissions should give priority to the development of photovoltaic or wind power; high-carbon intensity area I should vigorously develop wind power; high-carbon intensity area II should focus on developing photovoltaic power; second high-carbon intensity areas I and II are suitable for the development of wind power and photovoltaic power; and second high-carbon intensity areas III and IV are the most suitable for hydropower.

scholarly journals LCA-Based Regional Distribution and Transference of Carbon Emissions from Wind Farms in China

Energies ◽  
2021 ◽  
Vol 15 (1) ◽  
pp. 198
Author(s):  
Xintian Bi ◽  
Jin Yang ◽  
Siyuan Yang
Keyword(s):  
Wind Power ◽  
Carbon Emissions ◽  
Inner Mongolia ◽  
Emission Reduction ◽  
Carbon Emission ◽  
Wind Farm ◽  
Regional Distribution ◽  
Wind Farms ◽  
Energy Utilization ◽  
Carbon Emission Reduction

As a clean form of energy utilization, wind power is important for alleviating climate change. Although no direct carbon emissions occur in wind power generation, there exist upstream carbon emissions from manufacturing and installation, which have indirect effects on both the locations of wind farms and areas involved in upstream production and manufacturing. In this paper, based on Input–Output based Life Cycle Analysis (IO-LCA), we explored the lifetime carbon emissions of 378 wind farms in China that were still in operation in 2015. The regional distributions of carbon emissions from wind farms during the whole lifetime were depicted. The embodied carbon emission transfers from the location of the wind farm operation to upstream turbine manufacturing regions were traced. The net emission reduction benefits among regions were also calculated. Results show that carbon emissions mainly distribute in Liaoning, Inner Mongolia, and Tianjin in the turbine manufacturing stage, with a total amount of 3.36 MT. Inner Mongolia contributes the largest carbon emissions (5.94 MT) in the farm construction stage. Inner Mongolia has transferred about 0.99 MT carbon emissions to itself and has the largest net emission reduction. Recognizing the carbon emission transfer of wind farms and dividing the carbon emission reduction responsibilities among regions may shed light on supply chain carbon emission reduction and provincial carbon quota allocation.

scholarly journals Carbon emission reduction technologies in China

2021 ◽  
Vol 257 ◽  
pp. 01009
Author(s):  
Xintong Zhang ◽  
Longshan Fu ◽  
Yu Huang
Keyword(s):  
Solar Energy ◽  
Wind Power ◽  
Carbon Storage ◽  
Carbon Emissions ◽  
Emission Reduction ◽  
Carbon Capture ◽  
Nuclear Energy ◽  
Carbon Emission ◽  
Clean Energy ◽  
Carbon Emission Reduction

Environmental pollution is mainly caused by carbon emissions, so carbon emission reduction is our top priority now. Carbon-containing greenhouse gas emissions mainly come from the following aspects: (1) fossil fuel combustion; (2) leakage and volatilization in the process of fuel extraction, processing, transportation, and industrial utilization; (3) traditional biomass fuel combustion. The greenhouse effect will cause an increase in temperature, the rise of sea level, and the reduction of biodiversity. Due to little or no carbon emissions, new energy is a current research direction. It mainly includes wind energy, solar energy, hydropower, nuclear energy, and biological energy. Among them, wind power technology is quite mature, and the cost of wind power has become competitive in the market. Solar energy is an inexhaustible, nonpolluting, renewable, and clean energy source, which is gradually entering the stage of large-scale development. Hydropower is clean energy, renewable, pollution-free, and low operating costs. Nuclear energy is characterized by high efficiency and low carbon, coming from the fission energy released by the fission reaction of the fissionable material (nuclear fuel) in the nuclear reactor. Biomass resources can be divided into four categories: forest resources, crop straws, poultry manure, and household garbage, and its biggest feature is its renewability. Besides, carbon capture and carbon storage are other ways to reduce carbon emissions. Carbon capture uses chemical adsorption, physical adsorption, adsorption separation, and membrane separation to capture carbon dioxide. Carbon storage injects supercritical CO2 into a closed geological structure containing oil, gas, water, or non-commercial coal seams through pipeline technology to form long-term or permanent CO2 storage

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