China's carbon intensity factor decomposition and carbon emission decoupling analysis

Energy ◽  
2021 ◽  
pp. 122175
Author(s):  
Xiongfeng Pan ◽  
Shucen Guo ◽  
Haitao Xu ◽  
Mengyuan Tian ◽  
Xianyou Pan ◽  
...  
Keyword(s):  
Intensity Factor ◽  
Carbon Emission ◽  
Carbon Intensity ◽  
Factor Decomposition ◽  
Decoupling Analysis

scholarly journals Scheduling Optimization of a Cabinet Refrigerator Incorporating a Phase Change Material to Reduce Its Indirect Environmental Impact

Energies ◽  
2021 ◽  
Vol 14 (8) ◽  
pp. 2154
Author(s):  
Angelo Maiorino ◽  
Adrián Mota-Babiloni ◽  
Manuel Gesù Del Duca ◽  
Ciro Aprea
Keyword(s):  
Phase Change ◽  
Emission Reduction ◽  
Energy Demand ◽  
Carbon Emission ◽  
Phase Change Materials ◽  
Demand Curve ◽  
Optimization Technique ◽  
Intensity Variation ◽  
Carbon Intensity ◽  
Carbon Emission Reduction

Phase Change Materials (PCMs) incorporated in refrigerators can be used to shift their energy consumption from peak periods, when the electric network energy demand is the highest, to off-peak periods. While PCMs can flatten the energy demand curve, they can achieve economic savings if Time-of-Use (TOU) electricity tariffs are applied. However, the hourly carbon emission factor is not commonly linked to the hourly tariff, and the final CO2 emitted due to the operations of the refrigerator would not be fully optimized. In this work, a method based on the Simulated Annealing optimization technique was proposed to identify the optimal working schedule of a cabinet refrigerator incorporating a PCM to reduce its indirect carbon emissions. Data from countries with different representative carbon intensity profiles were used. The normalized standard deviation and normalized range are the best statistical indexes to predict carbon emission reduction in the proposed solution. These parameters proved that countries with a higher hourly carbon intensity variation (Uruguay, France, Denmark, and Germany) benefit from the application of the algorithm. Cost and carbon emission reduction cannot be maximized simultaneously, and a trade-off is required.

scholarly journals Urbanization, Public Finance and Carbon Intensity – Based on Panel Data and Error Correction Model

2016 ◽  
Vol 9 (1) ◽  
pp. 23
Author(s):  
Shih-Feng Tsai
Keyword(s):  
Emerging Economies ◽  
Carbon Emission ◽  
Carbon Intensity ◽  
Low Carbon ◽  
Correction Model ◽  
Low Carbon Economy ◽  
The World Bank ◽  
The World ◽  
World Development ◽  
Carbon Economy

<span lang="EN-US">Aiming at six big emerging economies in the world, namely, China, United States, United Kingdom, Germany, France and Japan, this paper analyzes their carbon emission conditions based on the data of carbon emission, energy consumption and economic development during 1970—2008 from the statistics in the World Development Index Database (WDI) of the World Bank, and carries out empirical analyses based on theories &amp; policies and driving factors of their low carbon economy. It is found that energy intensity, economic growth and urbanization progress exert more remarkable influences on carbon intensity, and the effect of carbon emission reduction depending on government fiancé is not sustainable. Thus, this paper is intended to explain that China needs more actively promoting green sustainable towns with its sustainable development, and developing urban low carbon industries and buildings for more civilized ecological towns.</span>

Reduction of Carbon Intensity

2019 ◽  
pp. 70-86
Author(s):  
Md. Mahfuzar Rahman Chowdhury
Keyword(s):  
Carbon Emission ◽  
Oil And Gas ◽  
Ghg Emissions ◽  
Climate Change Impacts ◽  
Carbon Intensity ◽  
Environmentally Sustainable ◽  
Developed Economies ◽  
Co2 Intensity ◽  
Scientific Circle ◽  
Earth’S Climate

Global warming is unequivocal and almost certainly caused by recent human activities that have increased the greenhouse gas (GHG) emissions. Emissions reductions of carbon dioxide and cumulative carbon emissions from energy consumption have created widespread concern of various government agencies, scientific circle, and the general public. The states and the international community are simultaneously struggling to address climate change. Impacts of carbon emission are inevitable and there is a long debate as to who bears the losses incurred due to the carbon emission. Both the developing and the developed economies need to reduce their CO2 intensity significantly for stabilizing the Earth's climate at no more than a 2°C temperature rise. However, for the sake of health, safety, and environment, the supply of oil and gas as well as emission of carbon need to be operated in an environmentally sustainable manner so as to avoid environmental harms.

scholarly journals Research on China’s Regional Carbon Emission Quota Allocation in 2030 under the Constraint of Carbon Intensity

2020 ◽  
Vol 2020 ◽  
pp. 1-15
Author(s):  
Yuan Zhang
Keyword(s):  
Carbon Dioxide ◽  
Information Entropy ◽  
Carbon Emission ◽  
Entropy Method ◽  
Carbon Intensity ◽  
Maximum Deviation ◽  
Carbon Trading ◽  
Emission Quota ◽  
Quota Allocation ◽  
Deviation Method

To achieve the goal of carbon dioxide emission reduction in 2030 promised to the United Nations, China unified the Carbon Trading System (CTS) in 2017 since carbon dioxide quota allocation is one of the core issues of carbon trading. It is imperative to establish a flexible carbon quota allocation system based on the unbalanced characteristics of resource endowment and economic development in different regions. Unlike previous distribution research, this paper considers five principles, which are fairness principle, efficiency principle, feasibility principle, development principle, and innovation principle. The maximum deviation method is used to research the carbon emission quota allocation in 30 provinces of China, and the results are compared with those under the single principle and the information entropy method. The results reveal that the distribution under the single principle is severely unbalanced, making the region have a strong sense of relative deprivation. The maximum deviation method is better than the information entropy method to achieve carbon intensity by 2030. It is also conducive to promote the coordinated development of the regional economy, narrow the poverty gap, and achieve sustainable development.

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 Crop Production and Agricultural Carbon Emissions: Relationship Diagnosis and Decomposition Analysis

2021 ◽  
Vol 18 (15) ◽  
pp. 8219
Author(s):  
Jianli Sui ◽  
Wenqiang Lv
Keyword(s):  
Economic Growth ◽  
Agricultural Economic ◽  
Carbon Emissions ◽  
Emission Intensity ◽  
Crop Production ◽  
Carbon Emission ◽  
Decomposition Analysis ◽  
Lmdi Method ◽  
Carbon Emission Intensity ◽  
Decoupling Analysis

Modern agriculture contributes significantly to greenhouse gas emissions, and agriculture has become the second biggest source of carbon emissions in China. In this context, it is necessary for China to study the nexus of agricultural economic growth and carbon emissions. Taking Jilin province as an example, this paper applied the environmental Kuznets curve (EKC) hypothesis and a decoupling analysis to examine the relationship between crop production and agricultural carbon emissions during 2000–2018, and it further provided a decomposition analysis of the changes in agricultural carbon emissions using the log mean Divisia index (LMDI) method. The results were as follows: (1) Based on the results of CO2 EKC estimation, an N-shaped EKC was found; in particular, the upward trend in agricultural carbon emissions has not changed recently. (2) According to the results of the decoupling analysis, expansive coupling occurred for 9 years, which was followed by weak decoupling for 5 years, and strong decoupling and strong coupling occurred for 2 years each. There was no stable evolutionary path from coupling to decoupling, and this has remained true recently. (3) We used the LMDI method to decompose the driving factors of agricultural carbon emissions into four factors: the agricultural carbon emission intensity effect, structure effect, economic effect, and labor force effect. From a policymaking perspective, we integrated the results of both the EKC and the decoupling analysis and conducted a detailed decomposition analysis, focusing on several key time points. Agricultural economic growth was found to have played a significant role on many occasions in the increase in agricultural carbon emissions, while agricultural carbon emission intensity was important to the decline in agricultural carbon emissions. Specifically, the four factors’ driving direction in the context of agricultural carbon emissions was not stable. We also found that the change in agricultural carbon emissions was affected more by economic policy than by environmental policy. Finally, we put forward policy suggestions for low-carbon agricultural development in Jilin province.

Analysis of Hunan Province Industry’s Carbon Emission Based on the Energy Consumption Structure

2014 ◽  
Vol 641-642 ◽  
pp. 1078-1081
Author(s):  
Lin Wu ◽  
Han Li
Keyword(s):  
Energy Consumption ◽  
Carbon Emission ◽  
High Energy ◽  
Hunan Province ◽  
Carbon Intensity ◽  
Energy Structure ◽  
Coal Consumption ◽  
Consumption Structure ◽  
Industrial Energy ◽  
Industrial Energy Consumption

Energy consumption carbon emission factor method was used to analyze the carbon emission evolution of industrial energy consumption in Hunan Province with collected data on industrial energy consumption in 2000-2012. Results had shown that Hunan province industry’s carbon emission keep increasing in 2000-2012. There is a highly correlation between the total coal consumption and carbon emission of industrial energy carbon emission. Industrial energy consumption structure plays a decisive role in carbon emission. Industrial economic growth at the expense of high energy consumption in 2000-2005 has changed. Industrial carbon intensity has a fluctuated downward trend from 2005 to 2012. From the perspective of carbon emission per industrial output and industrial energy consumption structure, there is a large potential for carbon emission control in Hunan industrial energy consumption. Therefore, the main way to control carbon emission of industrial energy consumption in Hunan Province is to optimize the energy structure, reasonable adjustment of industry structure, improve energy technical level, proper control the growth of energy consumption.

Sign in / Sign up

Export Citation Format

Share Document