scholarly journals Forecast and Analysis of the Total Amount of Civil Buildings in China in the Future Based on Population Driven

2021 ◽  
Vol 13 (24) ◽  
pp. 14051
Author(s):  
Tongdan Gong ◽  
Wenjie Zhang ◽  
Jinhan Liang ◽  
Changqing Lin ◽  
Kai Mao
Keyword(s):  
Emission Reduction ◽  
Carbon Emission ◽  
Residential Buildings ◽  
Calculation Model ◽  
Residential Area ◽  
Detailed Calculation ◽  
Public Building ◽  
The Public ◽  
Building Area ◽  
Per Capita

Controlling the scale of civil buildings is of great significance for energy saving and emission reduction in the construction field. This paper analyzes and extracts the key index parameters for the calculation of various civil building areas, establishes a detailed calculation model of the total civil building area, and constructs three different scenarios to predict various civil building areas in China from 2020 to 2060. Under the three scenarios, the total amount of civil buildings in China will reach a peak of 93.5, 84.6, and 76.3 billion m2 in 2040, 2035, and 2035, respectively. Under the constraints of energy consumption and carbon emission, this paper suggests that civil buildings develop according to the medium control scenario. In 2035, the urban per capita residential area will reach a peak of 42 m2, the urban residential area will reach 43 billion m2, the rural per capita residential area will reach the peak of 55 m2, the rural residential area will reach 20.6 billion m2, and the public building area will reach 21 billion m2. By 2060, the total area of civil buildings will drop to 76.5 billion m2, including 37.1 billion m2 of urban residential buildings, 18.5 billion m2 of rural residential buildings, and 20.9 billion m2 of public buildings.

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.

Co-Integration Theory-Based Study on Environmental Kuznets Curve of Land Use Change Carbon Emission in Shenzhen

2013 ◽  
Vol 389 ◽  
pp. 91-96
Author(s):  
Ke Mei Hu ◽  
Wei Ling Liu ◽  
Jing Hai Zhu ◽  
Lin Wang ◽  
Lin Bo Zhang ◽  
...  
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Carbon Emissions ◽  
Emission Reduction ◽  
Environmental Kuznets Curve ◽  
Carbon Emission ◽  
Kuznets Curve ◽  
Carbon Emission Reduction ◽  
Shenzhen City ◽  
Per Capita

The carbon emission caused by land use change is a human carbon source only second to fossil fuel combustion, the urbanization process in China is extremely intensified, which carbon emissions effect caused by land use change becomes a key factor to influence China's target of carbon emission reduction. Taken Shenzhen city as a typical case, this study utilizes unit root and co-integration test method to research existence of carbon emissions EKC (Environmental Kuznets Curve) in Shenzhen on the basis of the carbon emissions EKC theory and land-use carbon emissions data of 1979-2010 years, in combination with the existing research foundation. The result proves that, the carbon emission EKC per capita exists in Shenzhen, and the inflection point time of carbon emissions per capita is also calculated for Shenzhen city, which provides new research ideas and scientific guidance for urban carbon emission reduction in China.

scholarly journals Research on energy saving and emission reduction of urban transportation under the concept of low-carbon life

2021 ◽  
Vol 248 ◽  
pp. 02025
Author(s):  
Guangyu Zheng
Keyword(s):  
Emission Reduction ◽  
Carbon Emission ◽  
Calculation Model ◽  
Urban Transport ◽  
Low Carbon ◽  
Emission Analysis ◽  
New Energy ◽  
Improvement Measures ◽  
Transport Line ◽  
Line Network

In response to the national concept of green and low carbon, the carbon emission analysis and peak prediction of transportation in 20 cities were carried out by using the carbon emission calculation model based on residents’ travel, and the quantitative effects of various improvement measures were evaluated. The results show that the urban transport structure and residents' travel distance are positively correlated with the urban carbon emission intensity, and the urban transport carbon emission in China will reach the peak around 2023. Accelerating the application of new energy, optimizing the urban transport structure, building a green transport system, and optimizing the urban transport line network all have good emission reduction effects.

scholarly journals Regional-Level Allocation of CO2 Emission Permits in China: Evidence from the Boltzmann Distribution Method

2018 ◽  
Vol 10 (8) ◽  
pp. 2612 ◽  
Author(s):  
Yanbin Li ◽  
Zhen Li ◽  
Min Wu ◽  
Feng Zhang ◽  
Gejirifu De
Keyword(s):  
Carbon Emissions ◽  
Emission Reduction ◽  
Co2 Emission ◽  
Carbon Emission ◽  
Boltzmann Distribution ◽  
Distribution Model ◽  
Emission Permits ◽  
Distribution Method ◽  
Carbon Emission Reduction ◽  
Per Capita

To achieve the commitment of carbon emission reduction in 2030 at the climate conference in Paris, it is an important task for China to decompose the carbon emission target among regions. In this paper, entropy maximization is brought to inter-provincial carbon emissions allocation via the Boltzmann distribution method, which provides guidelines for allocating carbon emissions permits among provinces. The research is mainly divided into three parts: (1) We develop the CO2 influence factor, including per capita GDP, per capita carbon emissions, carbon emission intensity and carbon emissions of per unit industrial added value; the proportion of the second industry; and the urbanization rate, to optimize the Boltzmann distribution model. (2) The probability of carbon emission reduction allocation in each province was calculated by the Boltzmann distribution model, and then the absolute emission reduction target was allocated among different provinces. (3) Comparing the distribution results with the actual carbon emission data in 2015, we then put forward the targeted development strategies for different provinces. Finally, suggestions were provided for CO2 emission permits allocation to optimize the national carbon emissions trading market in China.

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