scholarly journals Optimization Model of Emission Reduction Benefits Based on Integrated Development of Electric Vehicle and Power Grid

2021 ◽  
Author(s):  
Zhao Jia ◽  
Fang Haifeng ◽  
Zhu Yueyan ◽  
Li Yueke ◽  
Chen Yisong ◽  
...  
Keyword(s):  
Electric Vehicle ◽  
Carbon Emissions ◽  
Automobile Industry ◽  
Optimization Model ◽  
Emission Reduction ◽  
Large Scale ◽  
Power Grid ◽  
Storage Unit ◽  
Integrated Development ◽  
Power Load

Under the goal of carbon peak and carbon neutrality, the carbon emission reduction of the automobile industry has attracted more and more attention in recent years. Electric vehicle has the dual attributes of power load and energy storage unit. With the increase of the number of electric vehicles, reducing carbon emissions through the collaborative interaction between electric vehicle and power network will become an important way to control carbon emissions in the automotive field. In this study, an optimization model of emission reduction benefits based on integrated development of electric vehicle and power grid is proposed, which explores the best technical way of synergy between power grid and electric vehicle, achieves the best carbon reduction effect and provides a model basis for large-scale demonstration application. Numerical simulations based on the real case in Beijing are conducted to validate the effectiveness of the proposed method.

scholarly journals Prediction and Analysis of the Relationship between Energy Mix Structure and Electric Vehicles Holdings Based on Carbon Emission Reduction Constraint: A Case in the Beijing-Tianjin-Hebei Region, China

2019 ◽  
Vol 11 (10) ◽  
pp. 2928 ◽  
Author(s):  
Weijun Wang ◽  
Dan Zhao ◽  
Zengqiang Mi ◽  
Liguo Fan
Keyword(s):  
Electric Vehicle ◽  
Electric Vehicles ◽  
Carbon Emissions ◽  
Emission Reduction ◽  
Carbon Emission ◽  
Large Scale ◽  
Clean Energy ◽  
Emissions Reduction ◽  
Energy Mix ◽  
Learning Machine

In response to air pollution problems caused by carbon emissions, electric vehicles are widely promoted in China. Since thermal power generation is the main form of power generation, the large-scale development of electric vehicles is equivalent to replacing oil with coal, which will accordingly result in carbon emissions increasing if the scale of electric vehicles exceeds a certain limit. A relationship model between regional energy mix structure and electric vehicles holdings under the constraint of carbon emission reduction is established to perform a quantitative analysis of the limitation mechanism. In order to measure the scale of the future electric vehicle market under the constraint of carbon emissions reduction, a method called Extreme Learning Machine optimized by Improved Particle Swarm Optimization (IPSO-ELM) with higher precision than Extreme Learning Machine (ELM) is proposed to predict the power structure and the trend of electric vehicle development in the Beijing-Tianjin-Hebei region from 2019–2030. The calculation results show that the maximum number of electric vehicles must not exceed 19,340,000 and 26,867,171 based on emissions reduction aims and also the predicted energy mix structure in the Beijing-Tianjin-Hebei region in 2020 and 2030. At this time, the ratio of electric vehicles to traditional car ownership is 75.6% and 78.3%. The proportion of clean energy generation should reach 0.314 and 0.323 to match a complete replacement of traditional fuel vehicles for electric vehicles. A substantial increase in clean energy generation is needed so that the large-scale promotion of electric vehicles can still achieve the goal of carbon reduction. Therefore, this article will be helpful for policy-making on electric vehicle development scale and energy mix structure in the Beijing-Tianjin-Hebei region.

The Empirical Study in Smart Power Consumption Based on the Adjustment and Control System

2012 ◽  
Vol 241-244 ◽  
pp. 2010-2014 ◽  
Author(s):  
Kun Huang ◽  
Tian Yang Li ◽  
Yong Biao Yang
Keyword(s):  
Empirical Study ◽  
Power Consumption ◽  
Large Scale ◽  
Power Grid ◽  
Peak Load ◽  
Regulation System ◽  
Software Platform ◽  
Commercial Building ◽  
Smart Power ◽  
Power Load

The smart power consumption is an important orientation in peak load shifting and load shedding of power grid in particular time period. It has the significant effect to relieve the load shortage of the power grid. The large-scale electrical devices like central air-condition in commercial building have the great potential in the energy efficiency improvement and available load integration. The effectively regulation of power load in public and commercial construction can improve the stability and reliability of power grid. The power situation in china and the content of empirical study were introduced, and the system hardware design and software platform construction is demonstrated. The function modules of software platform and realization of regulation system are discussed in final.

Impact of Electric Vehicle Charging Mode on Load Characteristic in the Shandong Electric Power Grid

2012 ◽  
Vol 608-609 ◽  
pp. 1582-1586
Author(s):  
Jian Wang ◽  
Kui Hua Wu ◽  
Feng Wang ◽  
Kui Zhong Wu ◽  
Zhi Zhen Liu
Keyword(s):  
Electric Vehicle ◽  
Large Scale ◽  
Power Grid ◽  
Maximum Load ◽  
Load Models ◽  
Electric Vehicle Charging ◽  
Electric Power Grid ◽  
Charging Mode ◽  
Ev Charging ◽  
Storage Property

The large scale development of electric vehicle will have both benefits and potential stresses on power grid. It is shown that uncoordinated charging of EVs’ on the grid will produce series of problems, while intelligent charging can improve the operation of the power grid. In this study, based on several scenarios of charging modes, such as plug and charge, night charging and intelligent charging, the corresponding EV load models have been established. Therefore, an analysis is performed for the load characteristics of Shandong power grid to demonstrate the impacts of different EV charging scenarios. The results demonstrate that rational utilization of EVs’ load and energy storage property can help to decrease the maximum load of grid and the peak-valley difference, to stable load, and to raise the utilization of the power facilities.

Study on Power Transmission Plan of the Nuclear Power Base in Shandong Peninsula

2016 ◽  
Author(s):  
Chengzhu Yin ◽  
Miao Wang
Keyword(s):  
Power Plant ◽  
Nuclear Power ◽  
Large Scale ◽  
Power Transmission ◽  
Short Circuit ◽  
Power Grid ◽  
Short Circuit Current ◽  
Jiaodong Peninsula ◽  
Power Load ◽  
Power Base

The nuclear power site resource is very rich in Jiaodong Peninsula of Shandong Province. It is suitable for construction of the large nuclear power base. The transmission scope and direction of Jiaodong Peninsula nuclear power base is analyzed, and optional transmission plans of Plant 1, Plant 2, Plant 3 and Plant 4 are proposed. The transmission plans are recommended based on technical and economic comparison, which provide good references for construction of the large-scale nuclear power base and power grid development planning. Jiaodong Peninsula nuclear power base is planned to be built in the year of 2016–2030, planning capacity of which is 30500MW. The site of nuclear power base is 100∼400km away from the power load center. The nuclear power will use AC transmission and mainly meet the demand of local power load. The early 15500MW gensets will be accessed to the power grid at 500kV, as the following 15000MW gensets will be accessed at 1000kV UHV (Ultra-high voltage) grid. As the accessing of many large-capacity gensets will produce huge impact to the short-circuit current, sectionalized double-bus configuration is recommended in the 500kV main electrical wiring to reduce the short-circuit current of 500kV bus of nuclear power plant. Double bus section cross wire connection is presented to make sure that every two generators on each bus will be connected to different substations on two transmission lines which are set up on different poles and in different paths, to improve the reliability of the power plant. Through analysis and provement, the construction of large nuclear power base must be based on large and stronge power grid, especially the UHV (Ultra-high voltage) AC grid, to meet the demand of huge nuclear power transmission, and to improve the ability of power exchange and ensure the safety of regional power supply. Also, as the nuclear power plant should better be in base-load operation, the construction of large-scale nuclear power base, would make the system load-control demands increase, which leads to more prominent problems. In order to avoid adding additional depth of peaking power operation and reducing the overall economic operation of power system, power grid should have the necessary means to load-control. Namely the construction of peaking units, such as pumped storage units or gas-fired units at about 5000MW. By analyzing and demonstration, large-scale nuclear power base must rely on large-scale power grid, particularly the support of UHV power grid in order to meet the demond of large-scale power transmission and electricity exchange, and also to ensure regional security of electricity supply.

scholarly journals Optimization Model of Carbon Footprint of Fresh Products in Cold Chain from the Energy Conservation and Emission Reduction Perspective

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Bin Hu ◽  
Bangtong Huang ◽  
Zheng Liu ◽  
Hangxin Guo ◽  
Zihong Chen ◽  
...  
Keyword(s):  
Energy Conservation ◽  
Carbon Footprint ◽  
Carbon Emissions ◽  
Optimization Model ◽  
Emission Reduction ◽  
Cold Chain ◽  
Logistics Industry ◽  
Depth Analysis ◽  
The Government ◽  
Fresh Products

The carbon footprint of the cold chain logistics system refers to the greenhouse gas emissions directly or indirectly caused in each link of the cold chain logistics activities. Because cold chain logistics is the main carbon emitter in the field of logistics, research on how to reduce carbon emissions in the field of cold chain logistics plays an important role in energy conservation and emission reduction. Based on the in-depth analysis of the carbon footprint of cold chain logistics, this paper introduces the distance coefficient and freshness parameters into the optimization model innovatively and uses the life cycle assessment method and input-output method to determine the calculation range of the carbon footprint of fresh products of each link in the cold chain logistics. The system calculates the carbon emissions generated by the production and operation activities of each place of origin, distribution center, retailer, and waste disposal during the circulation of fresh products. This paper establishes a carbon footprint optimization model to discuss how to balance carbon constraints and minimized costs. Through the analysis of the simulation results, from the perspective of the government and enterprises, corresponding countermeasures are put forward to more effectively achieve the goal of energy conservation and emission reduction and guide the cold chain logistics industry to sustainable development.

Analysis and Quantitative Evaluation of Power Grid Corporation’s Carbon Emission Reduction Potential

2014 ◽  
Vol 1073-1076 ◽  
pp. 2624-2629
Author(s):  
Xiao Xuan Zhang ◽  
Li Ma ◽  
Su Yang ◽  
Tao Cai
Keyword(s):  
Quantitative Evaluation ◽  
Carbon Emissions ◽  
Emission Reduction ◽  
Carbon Emission ◽  
Reduction Potential ◽  
Power Grid ◽  
Emissions Reduction ◽  
Carbon Emission Reduction ◽  
Emission Reduction Potential ◽  
Carbon Emissions Reduction

As an important part of energy industry, power grid plays a pivotal and irreplaceable role in promoting low-carbon development. In this paper, the carbon emission reduction potential of power grid corporation was systematically analyzed from qualitative and quantitative perspectives respectively. First, this paper discussed the pathways of power grid corporation’s carbon emissions reduction, including decreasing line loss, promoting clean energy development, and so on. Then, a quantitative evaluation model for carbon emissions reduction potential of power grid corporation was developed. Based on the model, the carbon emission reduction benefits that promoted and achieved by State Grid Corporation of China (SGCC) in 2010 and 2015 were calculated. The results show that the carbon emission reduction benefits of SGCC is 138 million tons in 2010, and will be 481.8 million tons in 2015.

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