Research on the Influence of Carbon Trading on Jibei Grid Considering the Co-Ordination of Beijing, Tianjin and Hebei Province

2014 ◽  
Vol 675-677 ◽  
pp. 1875-1879
Author(s):  
Zhong Kang Wei ◽  
Yan Ling Du ◽  
Dun Nan Liu ◽  
Yu Jie Xu ◽  
Yuan Zhuo Li
Keyword(s):  
Emission Reduction ◽  
Carbon Emission ◽  
Electric Power Industry ◽  
Hebei Province ◽  
Total Carbon ◽  
Environmental Crisis ◽  
Carbon Trading ◽  
Actual Situation ◽  
Allocation Scheme ◽  
Generating Capacity

As the energy and environmental crisis intensifies, controlling total carbon emission in electric power industry has been an important way to achieve the goals of energy conservation and emission reduction. Beijing and Tianjin have lanched carbon trading pilot successively. As a part of the co-ordination, it’s imperative for Jibei to join carbon trading. Controlling the total carbon emission can’t be separated with making carbon initial quota, which will certainly influence generating capacity of generating enterprises in Jibei. Consequently, Jibei grid should purchase more clean electricity in outside province. Firstly, common methods of carbon quota distribution have been introduced in this paper and three scenes of carbon emission reduction have been set. Then, generating capacity in Jibei has been calculated in three scenes, and the influence of purchasing power in outside province on Jibei grid has been analyzed. Result shows that Benchmarking and target constraint are both feasible and allocation scheme can be chosen reasonably based on the actual situation.

scholarly journals The Study of the Impact of Carbon Finance Effect on Carbon Emissions in Beijing-Tianjin-Hebei Region—Based on Logarithmic Mean Divisia Index Decomposition Analysis

2019 ◽  
Vol 11 (5) ◽  
pp. 1465 ◽  
Author(s):  
Li Li ◽  
Di Liu ◽  
Jian Hou ◽  
Dandan Xu ◽  
Wenbo Chao
Keyword(s):  
Global Warming ◽  
Carbon Emissions ◽  
Emission Reduction ◽  
Carbon Emission ◽  
Total Carbon ◽  
Carbon Trading ◽  
Logarithmic Mean ◽  
Carbon Emission Reduction ◽  
Carbon Finance ◽  
The Impact

The negative effects of global warming are becoming more and more serious. The fundamental way to prevent global warming is by reducing carbon dioxide emissions. Achieving this has become a key concern for all countries. The logarithmic mean divisia index model was constructed to decompose the total carbon emission increment. Carbon finance effect was divided into green credit effect and carbon trading effect to analyze the impact of carbon finance on carbon emissions. The results showed that the total carbon emission reduction value caused by green credit effect from 2010 to 2016 in the Beijing-Tianjin-Hebei region was 66193.96 million tons, and the added value of carbon emission caused by carbon trading effect was 80266.68 million tons. There are regional differences in the effects of carbon finance on carbon emissions in these regions. It can be concluded that to a certain extent, green credit can reduce carbon emissions, and carbon trading can increase carbon emissions. Using the gradual expansion of carbon finance trading and market mechanism of carbon finance to solve the problem of carbon emission can improve the efficiency of carbon emission reduction.

scholarly journals Carbon Emission Estimation of Assembled Composite Concrete Beams during Construction

Energies ◽  
2021 ◽  
Vol 14 (7) ◽  
pp. 1810
Author(s):  
Kaitong Xu ◽  
Haibo Kang ◽  
Wei Wang ◽  
Ping Jiang ◽  
Na Li
Keyword(s):  
Life Cycle ◽  
Carbon Emissions ◽  
Emission Reduction ◽  
Carbon Emission ◽  
Composite Beams ◽  
Total Carbon ◽  
Construction Process ◽  
Low Carbon ◽  
Carbon Emission Reduction ◽  
The Government

At present, the issue of carbon emissions from buildings has become a hot topic, and carbon emission reduction is also becoming a political and economic contest for countries. As a result, the government and researchers have gradually begun to attach great importance to the industrialization of low-carbon and energy-saving buildings. The rise of prefabricated buildings has promoted a major transformation of the construction methods in the construction industry, which is conducive to reducing the consumption of resources and energy, and of great significance in promoting the low-carbon emission reduction of industrial buildings. This article mainly studies the calculation model for carbon emissions of the three-stage life cycle of component production, logistics transportation, and on-site installation in the whole construction process of composite beams for prefabricated buildings. The construction of CG-2 composite beams in Fujian province, China, was taken as the example. Based on the life cycle assessment method, carbon emissions from the actual construction process of composite beams were evaluated, and that generated by the composite beam components during the transportation stage by using diesel, gasoline, and electric energy consumption methods were compared in detail. The results show that (1) the carbon emissions generated by composite beams during the production stage were relatively high, accounting for 80.8% of the total carbon emissions, while during the transport stage and installation stage, they only accounted for 7.6% and 11.6%, respectively; and (2) during the transportation stage with three different energy-consuming trucks, the carbon emissions from diesel fuel trucks were higher, reaching 186.05 kg, followed by gasoline trucks, which generated about 115.68 kg; electric trucks produced the lowest, only 12.24 kg.

scholarly journals Effect of Green Construction on a Building’s Carbon Emission and Its Price at Materialization

2021 ◽  
Vol 13 (2) ◽  
pp. 642
Author(s):  
Shuangxi Zhou ◽  
Zhenzhen Guo ◽  
Yang Ding ◽  
Jingliang Dong ◽  
Jianming Le ◽  
...  
Keyword(s):  
Greenhouse Gases ◽  
Emission Reduction ◽  
Carbon Emission ◽  
High Efficiency ◽  
Carbon Price ◽  
Carbon Trading ◽  
Construction Companies ◽  
Green Construction ◽  
The World ◽  
Total Price

Buildings consume many resources and generate greenhouse gases during construction. One of the main sources of greenhouse gases is carbon emission associated with buildings. This research is based on the computing rule of carbon emission at the materialization stage. By taking the features of green construction into consideration, quantitative analysis on construction carbon emission was undertaken via Life Cycle Assessment (LCA). Making use of Vensim (a system dynamics software package), we analyzed the amount of carbon emission at the materialization stage and determined the major subsystems affecting the carbon emission, then took into comprehensive consideration the differences of each subsystem’s carbon emission under different construction technologies. Under the mechanism of carbon trade at the materialization stage, the total price of carbon trades remains unchanged, while the trading price of each subsystem is adjusted. Under these conditions, a coefficient for step-wise increases in carbon price was proposed. By establishing such a system of gradient prices, construction companies are encouraged to adopt high-efficiency emission reduction technologies. Meanwhile, the system also provides a reference for the formulation of price-based policies about buildings’ carbon trading, and accelerates the process of energy conservation and emission reduction in China and the world at large.

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 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 How to Allocate Carbon Emission Permits Among China’s Industrial Sectors Under the Constraint of Carbon Intensity?

2019 ◽  
Vol 11 (3) ◽  
pp. 914 ◽  
Author(s):  
Jianguo Zhou ◽  
Yushuo Li ◽  
Xuejing Huo ◽  
Xiaolei Xu
Keyword(s):  
Carbon Emissions ◽  
Emission Reduction ◽  
Carbon Emission ◽  
Abatement Cost ◽  
Carbon Intensity ◽  
Carbon Trading ◽  
Emission Permits ◽  
Carbon Abatement ◽  
Industrial Sectors ◽  
Ferrous Metals

With the official launch of China’s national unified carbon trading system (ETS) in 2017, it has played an increasingly important role in controlling the growth of carbon dioxide emissions. One of the core issues in carbon trading is the allocation of initial carbon emissions permits. Since the industry emits the largest amount of carbon dioxide in China, a study on the allocation of carbon emission permits among China’s industrial sectors is necessary to promote industry carbon abatement efficiency. In this study, industrial carbon emissions permits are allocated to 37 sub-sectors of China to reach the emission reduction target of 2030 considering the carbon marginal abatement cost, carbon abatement responsibility, carbon abatement potential, and carbon abatement capacity. A hybrid approach that integrates data envelop analysis (DEA), the analytic hierarchy process (AHP), and principal component analysis (PCA) is proposed to allocate carbon emission permits. The results of this study are as follows: First, under the constraint of carbon intensity, the carbon emission permits of the total industry in 2030 will be 8792 Mt with an average growth rate of 3.27%, which is 1.57 times higher than that in 2016. Second, the results of the carbon marginal abatement costs show that light industrial sectors and high-tech industrial sectors have a higher abatement cost, while energy-intensive heavy chemical industries have a lower abatement cost. Third, based on the allocation results, there are six industrial sub-sectors that have obtained major carbon emission permits, including the smelting and pressing of ferrous metals (S24), manufacturing of raw chemical materials and chemical products (S18), manufacturing of non-metallic mineral products (S23), smelting and pressing of non-ferrous metals (S25), production and supply of electric power and heat power (S35), and the processing of petroleum, coking, and processing of nuclear fuel (S19), accounting for 69.23% of the total carbon emissions permits. Furthermore, the study also classifies 37 industrial sectors to explore the emission reduction paths, and proposes corresponding policy recommendations for different categories.

scholarly journals Investment Decisions of Fired Power Plants on Carbon Utilization under the Imperfect Carbon Emission Trading Schemes in China

Processes ◽  
2019 ◽  
Vol 7 (11) ◽  
pp. 828 ◽  
Author(s):  
Weiwei Zhang ◽  
Linlin Liu
Keyword(s):  
Emission Reduction ◽  
Carbon Emission ◽  
Path Dependence ◽  
Emission Trading ◽  
Investment Decisions ◽  
Chinese Government ◽  
Carbon Trading ◽  
Carbon Utilization ◽  
Carbon Emission Trading ◽  
And Storage

Carbon capture, utilization, and storage (CCUS) is one of the most effective technologies to reduce CO2 emissions and has attracted wide attention all over the world. This paper proposes a real option model to analyze the investment decisions of a coal-fired power plant on CCUS technologies under imperfect carbon emission trading schemes in China. Considering multiple uncertainties, which include carbon trading price volatility, carbon utilization revenue fluctuation, and changes in carbon transport and storage cost, the least squares Monte Carlo simulation method is used to solve the problems of path dependence. The research results show that the independent effects of carbon trading mechanisms on investment stimulation and emission reduction are limited. The utilization ratio of captured CO2 has significant impacts on the net present value and investment value of the CCUS project. Moreover, the investment threshold is highly sensitive to the utilization proportion of food grade CO2 with high purity. It is suggested that the Chinese government should take diverse measures simultaneously, including increasing grants for research and development of carbon utilization technologies, introducing policies to motivate investments in CCUS projects, and also improving the carbon emission trading scheme, to ensure the achievement of the carbon emission reduction target in China.

Study on Model of Carbon Emission Rights Allocation among Power Enterprises

2014 ◽  
Vol 962-965 ◽  
pp. 1645-1649
Author(s):  
Chuan Yu Liu ◽  
Jie Zhang ◽  
Yong Chen
Keyword(s):  
Carbon Emission ◽  
Power Industry ◽  
Multiple Attribute Decision Making ◽  
Total Carbon ◽  
Carbon Trading ◽  
Multiple Attribute ◽  
Power Enterprise ◽  
Emission Rights ◽  
The Difference ◽  
Decision Making Model

China is launching a pilot carbon trading, but carbon trading must be based on the reasonable allocation of carbon emission rights. Current research mainly focused on the regional allocation of carbon emission rights(distributing total carbon emission rights to each area),but industry allocation research is need deeply study. Power industry is one of key industries of carbon emissions,so research about distributing power industry carbon emission rights to each power enterprise is very important. Based on principles of fairness, efficiency, feasibility and sustainability, a multiple attribute decision making model is constructed to slove the problem of power industry allocation. Finally, through comparing and analyzing the allocation results of different methods , find that the constructed model can balance the difference of each power enterprise better, and has stronger operability.

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 Reduction Effect and Mechanism Analysis of Carbon Trading Policy on Carbon Emissions from Land Use

2021 ◽  
Vol 13 (17) ◽  
pp. 9558
Author(s):  
Qiuyue Xia ◽  
Lu Li ◽  
Jie Dong ◽  
Bin Zhang
Keyword(s):  
Land Use ◽  
Emission Reduction ◽  
Technological Progress ◽  
Carbon Emission ◽  
Energy Structure ◽  
Carbon Trading ◽  
Regional Heterogeneity ◽  
Carbon Neutrality ◽  
Reduction Effect ◽  
Intermediate Effect

The reduction of carbon emissions from land use (CELU) is critical for China to achieve carbon neutrality, which may be greatly facilitated by carbon trading policies. Previous studies of the emission reduction effects of carbon trading policies focused mostly on the reduction of carbon source emissions, and there is a lack of research from the comprehensive perspective of carbon sources and carbon sinks. Understanding the effect of carbon trading policies on emission reduction from the perspective of CELU may help to improve the evaluation system of carbon trading policies, as well as provide important implications for the construction of China’s carbon trading market in the context of global carbon neutrality. Here, based on China’s current carbon-trading pilot areas, quasi-natural experiments were conducted by using the CELU data from 2005 to 2017, the synthetic control method (SCM) and the mediation effect model, aiming to empirically study the reduction effect and mechanism of carbon trading policies on CELU. The following main findings were obtained. (1) Carbon trading policies have had a significant reduction effect on the average CELU of the pilot areas by at least four million tons per year during the study period. (2) The carbon emission reduction effect of carbon trading policies has certain regional heterogeneity. (3) Carbon trading policies reduce CELU through the intermediate effect of energy structure, whose contribution rate reaches 30.433%. (4) Carbon trading policies did not achieve the Porter effect of technological progress during the study period, and technological progress has no significant intermediate effect on the reduction of CELU by carbon trading policy. Based on the above findings, the following policy implications can be proposed. Carbon trading and carbon offset should be studied from a comprehensive perspective of land use; regional heterogeneity should be considered when promoting the carbon emission trading system nationwide; and the energy structure should be optimized continuously.

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