scholarly journals Carbon Emissions Peak Prediction and the Reduction Pathway in Buildings during Operation in Jilin Province Based on LEAP

2019 ◽  
Vol 11 (17) ◽  
pp. 4540 ◽  
Author(s):  
Haiyan Duan ◽  
Shipei Zhang ◽  
Siying Duan ◽  
Weicheng Zhang ◽  
Zhiyuan Duan ◽  
...  
Keyword(s):  
Energy Saving ◽  
Influencing Factors ◽  
Carbon Emissions ◽  
Residential Buildings ◽  
Planning System ◽  
Low Carbon ◽  
Heating Period ◽  
Cold Region ◽  
Central Heating ◽  
A Value

The building sector has gradually become a major contributor of carbon emissions in recent years. Its carbon emissions, which result from the long heating period and considerable consumption of coal in residential buildings during operation, must be reduced. To this end, the long-range energy alternatives planning system was adopted for the forecasting of carbon emissions in baseline scenarios, energy-saving, energy-saving–low-carbon, and low-carbon. On the basis of these predictions, the contributions of heating, cooling, cooking, illumination, washing, and other activities to carbon emissions were analyzed. The influencing factors in the reduction of carbon emissions from residential buildings in a cold region were identified. The results showed that energy-saving–low-carbon was the optimal scenario to reduce carbon emissions. Meanwhile, carbon emissions will peak in 2030, with a value of 42.06 Mt under the same scenario. As the top three influencing factors, heating, cooling, and cooking contribute 55.74%, 18.86%, and 17.29% of carbon emissions, respectively. Sensitivity results showed the differential effects of 32 factors on the reduction of carbon emissions in residential buildings. Carbon emissions could be reduced by 17.41%, 35.51%, 31.10%, and 14.10% by controlling the building scale, heating, cooling, and cooking, respectively. To this end, seven factors, including the rationing of central heating, were identified. Then, pathways to reducing carbon emissions were proposed under different scenarios. The present research fills the gap between reality and the predicted pathway, considering the heterogeneity of the climate.

Energy Labeling System of Urban Residential Buildings: Market Effect and Operating Mechanism — A Case Study of Energy-Saving Renovations in the Netherlands and Its Implications

2017 ◽  
Vol 05 (04) ◽  
pp. 1750022
Author(s):  
Wei JIANG ◽  
Xuhui ZHANG
Keyword(s):  
The Netherlands ◽  
Energy Saving ◽  
Residential Buildings ◽  
Operating Mechanism ◽  
Low Carbon ◽  
Market Effect ◽  
Group Interviews ◽  
Virtuous Cycle ◽  
Labeling System

Despite China's significant progress in energy saving renovations, during the past 10 years, problems about inefficiencies remain. In the Netherlands, the energy labeling system (ELS) effectively linked policy objectives and market forces, combined with the stepped tariffs aimed at the performance of energy-saving renovation, generating a virtuous cycle of housing energy efficiency upgrading. China may draw the experience from Netherlands. In this regard, the authors probe the market effect and operating mechanism of the Dutch ELS and the stepped tariffs. The theory of multi-level governance (MLG) is introduced to the filed investigations both in China and the Netherlands. Based on the group-interviews and depth-interviews with the officials in related agencies and the residents of retrofitting housing, the authors obtained first-hand information to ensure a close case study on Netherlands' housing ELS and its implementation, in order to provide some enlightenment for China's existing housing renovation and low carbon development.

scholarly journals Optimization of the Milk-run route for inbound logistics of auto parts under low-carbon economy

2021 ◽  
Vol 15 ◽  
pp. 174830262110653
Author(s):  
Chunguang Quan ◽  
Qiuhua He ◽  
Xin Ye ◽  
Xiaojuan Cheng
Keyword(s):  
Energy Saving ◽  
Carbon Emissions ◽  
Emission Reduction ◽  
Ant Colony Algorithm ◽  
Economic Benefits ◽  
Fixed Cost ◽  
Low Carbon ◽  
Human Beings ◽  
Scanning Method ◽  
Milk Run

Greenhouse gas emissions have brought serious negative impacts on human beings and organisms, so energy saving and emission reduction have been recognized by more and more people. Traditional Milk-run model seldom considers the factors of energy saving and emission reduction, and its routing optimization cannot meet the current needs of low-carbon economic development. On the basis of traditional Vehicle Routing Problem research, considering the fixed cost, time penalty cost, energy consumption cost and carbon emission cost of vehicles, the Milk-run model of distribution routing considering carbon emissions under time window constraints is studied. Then the improved ant colony algorithm is used to solve the constructed model. Finally, the order and related data of a company are used to verify the validity and practicality of the model and algorithm. Compared to the scanning method, the results show that not only the total journey distance has been shortened but also the total cost and cost of carbon emissions have been reduced. The optimization of distribution routing considering carbon emissions can reduce the distribution cost of logistics enterprises, respond to the call of low-carbon development in China and help to achieve a win-win situation of social and economic benefits.

Study on Low-Carbon and Energy-Saving New Rural Countryside Construction in the Northeast of China

2011 ◽  
Vol 280 ◽  
pp. 179-182
Author(s):  
Da Ming Xu ◽  
Tian Yu Zhao ◽  
Wen Cheng
Keyword(s):  
Energy Saving ◽  
Cold Climate ◽  
Low Carbon ◽  
Cold Region ◽  
Functional Region ◽  
New Energy ◽  
Planning And Construction ◽  
Northeast Of China ◽  
Rural Production ◽  
Selection Of

In this paper, with the purpose of constructing the low-carbon and energy-saving new rural countryside, we regarded the cold region in the Northeast of China as the research object, with analyzing the energy consumption structure and patterns and the main problems of planning and construction in countryside, we proposed planning technology measures and building programs considering selection of topography, design and layout , division of the functional region within the towns and villages, encouragements to build the row of houses, construction of multiple windbreaks, exploration of the energy from rural production and living waste and development of the new energy of solar, biogas, wind and other energy to adapt the character of cold climate.

Carbon Emissions of Quanzhou's Textile Enterprises and Tax Policy

2013 ◽  
Vol 664 ◽  
pp. 337-341
Author(s):  
Chang Quan Huang ◽  
Qing Yun Huang
Keyword(s):  
Energy Efficiency ◽  
Energy Saving ◽  
Carbon Emissions ◽  
Tax Policy ◽  
Emission Reduction ◽  
Environmental Problems ◽  
Low Carbon

Low-carbon textile still concerns environmental problems. Lowcarbon will ultimately focus on the energy efficiency, process to update and the emissions of businesses. At this stage other forms of energy still cannot be applied, so energysaving and emission reductionhave become the highest importance and feasibility in low-carbon textile. In this paper,based on the visits of the main textile enterprisesand relevant government departments in Quanzhou, we track the footprint of enterprise's carbon emissions, and preliminarily calculate the carbon emissions. After in-depth research and analysis, we discuss the energy-saving and emission reduction technologiesof Quanzhou's textile enterprisesand fiscal and taxation policies.

Influencing Factors Analysis of Carbon Dioxide Emissions of Liaoning Power Consumption Based on Kaya Model

2013 ◽  
Vol 779-780 ◽  
pp. 1476-1481 ◽  
Author(s):  
Chang He Jiang ◽  
Wen Ru Zang ◽  
Lei Lei Hu
Keyword(s):  
Carbon Dioxide ◽  
Power Consumption ◽  
Influencing Factors ◽  
Carbon Emissions ◽  
Carbon Dioxide Emissions ◽  
Liaoning Province ◽  
Low Carbon ◽  
Low Carbon Economy ◽  
Carbon Reduction ◽  
Industry Investment

In order to achieve the carbon reduction targets committed by China, Liaoning Province must take the way of low-carbon economy. Based on the related Statistical Yearbook data, applying the IPCC carbon emissions equation and Kaya model, this paper analyses the influencing factors of the carbon dioxide emissions produced from the power consumption of Liaoning Province. and then put forward some suggestion on reducing carbon emissions. The results show that Liaoning Province can achieve the goal, but unit GDP CO2 emissions reduction is mainly due tothe investment expansion of the second industry and construction industry investment expansion. As a result, it puts forward some suggestions.

Energy-Saving Analysis of a Composite Steel Residential Building in Cold Region

2012 ◽  
Vol 209-211 ◽  
pp. 1788-1791
Author(s):  
Xiao Tong Peng ◽  
Chen Lin ◽  
Li Li Shen
Keyword(s):  
Energy Saving ◽  
Residential Buildings ◽  
Residential Building ◽  
Steel Structure ◽  
Steel Structures ◽  
Thermal Testing ◽  
Cold Region ◽  
K Value ◽  
Problems And Solutions ◽  
Composite Steel

The composite steel structure combines the advantages of steel structures and concrete structures. In order to study the energy-saving behavior of the composite steel structure, a thermal testing on a typical composite steel structure residential in cold region is performed. The energy consumption performances of all components of the residential are evaluated; the heat transfer coefficient K for envelope structure is obtained using the testing data and then the K value is compared with the current specification. The results show that energy-saving standard of the testing residential could not meet the requirements of code. Finally the existing problems and solutions for the composite steel residential buildings are produced.

The Low-Carbon Evaluation of Resident Buildings Based on the Value Engineering

2011 ◽  
Vol 71-78 ◽  
pp. 456-460
Author(s):  
Xiao Long Chen ◽  
Ning Zhang ◽  
Ting Ting Yu
Keyword(s):  
Carbon Emissions ◽  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Residential Buildings ◽  
Residential Building ◽  
Evaluation Index System ◽  
Value Engineering ◽  
Function Evaluation ◽  
Low Carbon ◽  
Function Coefficient

Facing the increasingly serious energy and climate crisis, the concept of low-carbon indicates development direction for building conservation. However, building functions are easily neglected in the process of low carbon residential buildings construction. Therefore, based on the concept of value engineering, this paper presents a comprehensive evaluation method to evaluate carbon emissions of residential building. It highlights residential building functions as well. Function coefficient can be confirmed by establishing residential buildings function evaluation index system. Moreover,the unit carbon emission isadopted as cost coefficient. The low-carbon nature of residential building will be evaluated by the ratio of function coefficient and cost coefficient.The aim of this research is to advance the awareness of residential building carbon emissions, exploring the path of realizing maximum satisfaction of building functions with minimum carbon emissions, which can provide new ideas of residential building carbon emissions evaluation.

scholarly journals Spatial–Temporal Heterogeneity and Driving Factors of Rural Residents’ Food Consumption Carbon Emissions in China—Based on an ESDA-GWR Model

2021 ◽  
Vol 13 (22) ◽  
pp. 12419
Author(s):  
Shuai Qin ◽  
Hong Chen ◽  
Haokun Wang
Keyword(s):  
Spatial Heterogeneity ◽  
Influencing Factors ◽  
Food Consumption ◽  
Carbon Emissions ◽  
Regression Coefficient ◽  
Social Factor ◽  
Central Area ◽  
Low Carbon ◽  
Rural Residents ◽  
Gwr Model

The increase in income among Chinese residents has been accompanied by dramatic changes in dietary structure, promoting a growth in carbon emissions. Therefore, in the context of building a beautiful countryside, it is of great significance to study the carbon emissions of rural residents’ food consumption to realize the goal of low-carbon food consumption. In this paper, the calculation of food consumption carbon emissions of Chinese rural residents is based on the carbon conversion coefficient method, and the spatial heterogeneity of influencing factors is analyzed with the aid of the ESDA-GWR model. The results indicate that the per capita food consumption carbon emissions of rural residents have increased by 1.68% annually, reaching 336.73 kg CO2-eq in 2020, which is 1.32 times that of 2002. Carbon emissions generated from rural residents’ food consumption have significant spatial agglomeration characteristics, showing the spatial distribution characteristics of a north–south confrontation, with a central area collapse. The influencing factors of food consumption carbon emissions have significant spatial heterogeneity, among which, as the main force to restrain the growth of food consumption carbon emissions, the price factor has a regression coefficient between −0.1 and −0.3, and its influence has weakened from northwest to southeast in 2020. The education–social factor is the main driving force for the growth of food consumption carbon emissions, with a regression coefficient between 0.58 and 0.99, and its influence has increased from east to west. In the future, formulating food consumption optimization policies should be based on the actual situation of food consumption carbon emissions in various regions to promote the realization of low-carbon food consumption.

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