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.

Scenario Prediction of China’s Natural Gas Consumption and Carbon Emissions in the Next Ten Years

2021 ◽  
Vol 16 (3) ◽  
pp. 569-587
Author(s):  
Chunzi Wang ◽  
◽  
Mingxiong Zhu ◽  
Keyword(s):  
Economic Growth ◽  
Natural Gas ◽  
Emission Reduction ◽  
Carbon Emission ◽  
Gas Production ◽  
High Rate ◽  
Carbon Emission Reduction ◽  
Gas Consumption ◽  
Natural Gas Consumption ◽  
Low Rate

Based on Johansen Cointegration Test, this paper sheds light on the long-run equilibrium relationship between natural gas consumption, gas production, and GDP in China. Three different natural gas demand scenarios of low, medium and high rates in the next ten years are considered, and a Neural Network Autoregression Model is used to predict the future carbon dioxide emission. We conclude: (1) In all three scenarios, the growth rates of natural gas consumption are all higher than those of natural gas production, while the gap between demand and domestic supply will gradually turn broader and China will largely rely on imports ; (2) In the scenario of low-rate economic growth, natural gas consumption will grow slowly, and it will be difficult to realize the carbon emission reduction targets by 2030 due to low-rate substitution of natural gas for coal; (3) If medium-rate to high-rate economic growth sustains, coupled with rapid increase in natural gas consumption and production, China’s Carbon Emission Reduction Targets for 2030 can be achieved with high-rate substitution of natural gas for coal.

scholarly journals Carbon Emission Reduction Strategy for Energy Users in China

2020 ◽  
Vol 12 (16) ◽  
pp. 6498 ◽  
Author(s):  
Fuquan Zhao ◽  
Feiqi Liu ◽  
Han Hao ◽  
Zongwei Liu
Keyword(s):  
Renewable Energy ◽  
Carbon Emissions ◽  
Emission Reduction ◽  
Carbon Emission ◽  
Current Status ◽  
Chinese Government ◽  
Carbon Trading ◽  
Levelized Cost Of Electricity ◽  
Carbon Emission Reduction ◽  
The Cost

The Chinese government has made a commitment to control carbon emissions, and the deployment of renewable energy power generation is considered as an effective solution. In recent years, great effort has been exerted to support the development of renewable energy in China. While, due to fiscal pressures and changes in management policies, related subsidies are diminishing now and energy users are asked to pay for the cost. Regulations about carbon cap and renewable energy consumptions are issued to transfer the responsibility of consuming renewable energy and reducing carbon emissions to energy consumers. A national carbon trading system is set up in China and is under its growth stage. Therefore, this study lists the factors that should be considered by the energy users, analyzes the levelized cost of electricity generated by renewable energy in four cities in China, Beijing, Shanghai, Guangzhou, Wuhan, and compares the results with current carbon prices. Based on the research, under the current status, it is still more cost-efficient for enterprises to buy carbon credits than introduce renewable energies, and great differences among cities are shown due to different natural conditions. Besides, with diminishing subsidies and development of the carbon trading market, the carbon price will gradually reflect the actual value and carbon emission reduction costs will become an important part of enterprise expenditure. In the long term, enterprises should link more factors to carbon emissions, like social responsibility and brand image, instead of only the cost.

scholarly journals Economic Emission Dispatch for Wind Power Integrated System with Carbon Trading Mechanism

Energies ◽  
2021 ◽  
Vol 14 (7) ◽  
pp. 1870
Author(s):  
Jingliang Jin ◽  
Qinglan Wen ◽  
Xianyue Zhang ◽  
Siqi Cheng ◽  
Xiaojun Guo
Keyword(s):  
Power Generation ◽  
Wind Power ◽  
Emission Reduction ◽  
Carbon Emission ◽  
Carbon Trading ◽  
Low Carbon ◽  
Generation Efficiency ◽  
Emission Dispatch ◽  
Fuel Costs ◽  
Economic Emission Dispatch

Nowadays, the power system is faced with some new changes from low-carbon approaches, though these approaches have proved to be effective in developing low-carbon electricity. Specifically, wind power integration and carbon trading influence the traditional economic emission dispatch (EED) mode, allowing for the disturbance of wind power uncertainties and the fluctuation of carbon trading price. Aiming at the above problems, this study firstly builds a stochastic EED model in the form of chance-constrained programming associated with wind power reliability. Next, wind power features are deduced from the statistic characteristics of wind speed, and thus the established model is converted to a deterministic form. After that, an auxiliary decision-making method based on the technique for order preference by similarity to an ideal solution (TOPSIS) is designed to draw the optimal solution based upon the specific requirements of carbon emission control. The simulation results eventually indicate that the minimization of fuel costs and carbon emissions comes at the expense of wind power reliability. Meanwhile, carbon emission reduction can be effectively realized by carbon trading rather than a substantial increase in fuel costs, and carbon trading may help to improve power generation efficiency. Furthermore, carbon trading prices could be determined by the demands of carbon emission reduction and power generation efficiency improvement.

scholarly journals Research on Carbon Emission Reduction Effect of China's Carbon Trading Pilot

2020 ◽  
Vol 7 (5) ◽  
pp. 240-250
Author(s):  
Linshan Wang ◽  
Chuanming Liu ◽  
Xi Yang
Keyword(s):  
Carbon Emissions ◽  
Emission Reduction ◽  
Carbon Emission ◽  
Industrial Structure ◽  
Government Support ◽  
Carbon Trading ◽  
Carbon Emission Reduction ◽  
Carbon Emissions Trading ◽  
Emission Rights ◽  
Development Levels

Carbon emissions trading is one of the important ways to reduce carbon emissions by giving CO2 emission rights a commodity attribute that allows them to trade on the market and to reduce greenhouse gas emissions through the market mechanisms. Based on the inter-provincial panel data from 1997 to 2016, this paper constructs a basic theoretical analysis framework to analyze the carbon emission reduction effects of carbon trading policies, adopts PSM-DID to study the carbon emission reduction effects of carbon trading pilots. This study finds that: (1) The implementation of the carbon trading pilot can promote carbon emission reduction, but the pilot provinces and municipalities have different economic development levels, industrial structure and supporting measures adopted after the implementation of the carbon trading pilot policy, resulting in differences in carbon emission reduction effects between pilot provinces. (2) For the seller of carbon emission rights, carbon emission reduction is achieved through three effects of "market return-inducing", "technical innovation incentive" and "government support"; for the buyer, carbon emission reduction is achieved through three effects of "enterprise cost pressure", "process innovation motivation" and "market guiding". (4) The results of traditional PSM-DID further prove that the carbon trading pilot can significantly reduce CO2 emissions.

scholarly journals A Day-Ahead Scheduling Model of Electricity-Gas Integrated System with Power-to-Gas

2021 ◽  
Vol 2121 (1) ◽  
pp. 012003
Author(s):  
Jiacheng Ruan ◽  
Yongji Cao
Keyword(s):  
Natural Gas ◽  
Power System ◽  
Integrated System ◽  
Collaborative Optimization ◽  
Energy Utilization ◽  
Mixed Integer ◽  
Scheduling Model ◽  
Gas System ◽  
Power To Gas ◽  
Natural Gas System

Abstract In recent years, with the increasing of gas-fired power plants and the development of power-to-gas (P2G) technology, and the interdependence between the power system and the natural gas system has gradually deepened. This paper proposes a day-ahead optimal scheduling model for an electricity-gas integrated system. Based on P2G, it can realize the two-way movement of energy between the power system and the natural gas system, promote the coordinated and optimized operation of the two energy systems, and improve energy utilization. The model proposed in this paper minimizes the total cost of both systems. Firstly, the power system sub-model and the natural gas system sub-model in the collaborative optimization model are studied separately, and the constraints between the two systems are considered. Then, the piecewise linearization method and DC power flow simplification method are adopted, the nonlinear problem is transformed into a mixed integer linear programming problem. Finally, the load forecast value of the day-ahead dispatch is loaded, and the 24-hour dispatch result is obtained through the simulation platform, and the P2G is used for joint dispatch.

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 Carbon Emission Reduction and Coordination Strategies for New Energy Vehicle Closed-Loop Supply Chain under the Carbon Trading Policy

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-17
Author(s):  
Yan Yin ◽  
Fengcai Liu
Keyword(s):  
Supply Chain ◽  
Emission Reduction ◽  
Carbon Emission ◽  
Carbon Trading ◽  
Order Quantity ◽  
Carbon Emission Reduction ◽  
Cost Coefficient ◽  
New Energy ◽  
New Energy Vehicle ◽  
The Cost

Due to the increasingly serious energy crisis and environmental pollution, new energy vehicle (NEV) as a environmentally-friendly travel tool has been vigorously developed by various countries. However, in 2020, China officially enters the “postsubsidy era” in which the carbon trading scheme will replace the current fiscal and taxation system, affecting the implementation of NEV. Under the carbon trading policy, it has gradually become a major issue how NEV companies achieve production revenue coordination and carbon emission optimization decisions. This study focuses on building a multilevel supply chain for NEV production, sales, and component recycling. In addition, this study establishes a Stackelberg game model dominated by NEV manufacturers and uses contracts to coordinate the model. Results are as follows: (1) With the increasing maturity and perfection of enterprises’ carbon emission reduction technology, consumers’ demand for new energy vehicles will increase, and the effect will be more obvious when the system centralized decision-making. (2) Since the centralized decision is aimed at the total profit of the system and has the advantage of optimal order quantity, the total benefit of the supply chain is higher than that of the decentralized decision. Moreover, if the cost coefficient of carbon emission reduction is small, the total benefit of the supply chain under the centralized decision will be more obvious. (3) From the perspective of each member of the supply chain, the profit change of the manufacturer is more sensitive to the change of order quantity compared with the cost coefficient of carbon emission reduction. When the cost of carbon emission reduction technology is too high, manufacturers may not have much incentive to carry out technological research and development and innovation, resulting in failure to achieve system optimization. (4) This study designed a revenue-cost-sharing contract coordination mechanism; that is, the retailer will provide part of the revenue to the manufacturer, and the manufacturer will provide recovery compensation to the recycler.

scholarly journals A Calculation Model for CO2 Emission Reduction of Energy Internet: A Case Study of Yanqing

2019 ◽  
Vol 11 (9) ◽  
pp. 2502 ◽  
Author(s):  
Shuxia Yang ◽  
Di Zhang ◽  
Dongyan Li
Keyword(s):  
Co2 Emissions ◽  
Emission Reduction ◽  
Carbon Emission ◽  
Energy System ◽  
Calculation Model ◽  
Emissions Reduction ◽  
Low Carbon ◽  
Co2 Emission Reduction ◽  
Energy Internet ◽  
Carbon Emission Reduction

This paper takes the regional energy internet as the research object, and combines the power system, primary energy system, transportation system, and thermal energy system to give the system boundary. First, the mathematical decomposition method and the logical integration method were combined to decompose the total low-carbon capability into seven single low-carbon capabilities. On the basis of the mechanism of carbon emission reduction, a comprehensive calculation model for CO2 emissions reduction of the energy internet was then established. Finally, taking the Yanqing Energy Internet Demonstration Zone in China as an example, it was calculated that the model could reduce CO2 emissions by 14,093.19 tons in 2025. The results show that the methods adopted in this paper avoided the overlap calculation reasonably well; the comprehensive calculation model of CO2 emissions reduction has strong versatility, and can quantitatively calculate the carbon emission reduction amount for any completed or planned energy internet. Among the seven low-carbon capabilities, “replacement of gasoline with electricity” had the highest contribution rate, with a value of 42.62%, followed by “renewable energy substitution” (37.13%). The innovations in this paper include: (1) The problem of reasonable splitting of the overlapping parts in carbon emission reduction calculations being solved. (2) The first comprehensive calculation model of CO2 emission reduction on the energy internet being established. (3) The contribution of the seven low-carbon capabilities of the energy internet to total emissions reduction being clarified.

scholarly journals Research on Double-Layer Optimized Configuration of Multi-Energy Storage in Regional Integrated Energy System with Connected Distributed Wind Power

Energies ◽  
2019 ◽  
Vol 12 (20) ◽  
pp. 3964 ◽  
Author(s):  
Quanming Zhang ◽  
Zhichao Ren ◽  
Ruiguang Ma ◽  
Ming Tang ◽  
Zhongxiao He
Keyword(s):  
Energy Storage ◽  
Natural Gas ◽  
Wind Power ◽  
Double Layer ◽  
Energy System ◽  
Mixed Integer ◽  
Storage Technology ◽  
Energy Storage Technology ◽  
Integrated Energy System ◽  
Upper Level

With the wide application of multi-energy storage technology in the regional integrated energy system, the configuration of multi-energy storage devices is expected to enhance the economic benefits of regional integrated energy systems. To start with, in this paper, the basic framework of the regional integrated energy system is constructed, and a mathematical model of micro-gas turbine, gas boiler, distributed wind power and multi-energy storage device is established. Then, the multi-energy storage and double-layer planning configuration model with multi-energy complementation is established. The upper level of the model aims to minimize the comprehensive investment cost of multi-energy storage, while the lower level of the model aims to minimize the comprehensive systematic operating cost, in which the net losses cost is also included and the required multi-energy storage capacity from the upper level is set as its constraint. During the programming and problem solving, the second-order conic relaxation technology is introduced to realize the convex relaxation for power flow constraint. At the same time, the piecewise linearization method is adopted to deal with the natural gas pipeline flow constraint, which can convert the original model into a mixed integer programming problem. In the end, the example analysis is carried out in the IEEE 33-bus system and the improved 6-node natural gas system. The results show that the multi-energy storage technology can improve the economics of the regionally integrated energy system to a certain extent, and have verified the validity of the model.

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