Carbon Emission-Based Measurement of Floor Area Ratio Bonus for Residential Green Buildings in China

Mao, Yanhui; Xue-mei, Gong; Ye, Yun

doi:10.3992/1943-4618.13.2.84

Cited by 8 publications

(6 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…At the meso level, most studies compare the carbon emissions of single buildings of different types or regions. For example, Mao et al measured and compared the carbon emissions of green buildings of different star ratings [26]. Wu et al compared the carbon emissions of green buildings and non-green buildings [27].…”

Section: Literature Reviewmentioning

confidence: 99%

Scenario Prediction of Carbon Emission Peak of Urban Residential Buildings in China’s Coastal Region: A Case of Fujian Province

Zhang

Zhu

et al. 2023

Sustainability

View full text Add to dashboard Cite

With the acceleration of China’s urbanization process, the importance of energy conservation and emission reduction in the building sector has become increasingly prominent. The effective control of carbon emissions in coastal provinces has a decisive impact on achieving the carbon emissions peak target nationwide. Based on the analysis of the influencing factors, this study establishes an urban residential buildings carbon emission prediction model by combining the IPAT model and the ridge regression model. In addition, the prediction model is combined with scenario analysis to simulate the evolution of carbon emission trends of urban residential buildings in Fujian Province from 2018 to 2050 under different scenarios. The results show that total population, urban living area, residents’ consumption expenditure, urbanization rate, per capita GDP, and energy structure are key factors affecting carbon emissions from urban residential buildings in coastal cities. Only under the ultra-low carbon model scenario can Fujian’s urban residential buildings achieve the carbon peak goal in 2027 (13.4748 million tons of CO2), which requires a reduction of 59.67% compared to that under the baseline model scenario. This study can provide an effective reference for energy conservation and emission reduction work of the regional scale and even the national scale.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

Scenario Prediction of Carbon Emission Peak of Urban Residential Buildings in China’s Coastal Region: A Case of Fujian Province

Zhang

Zhu

et al. 2023

Sustainability

View full text Add to dashboard Cite

show abstract

“…As the world's largest energy consumer and contributor of CO 2 emissions, China has put forward the goal of carbon emission peak before 2030 and carbon neutrality before 2060 (Huo et al, 2021). Facing the situation, green building (GB) emerges as an effective way (Cheng et al, 2016;Mao et al, 2018). GB refers to the buildings that save energy, water, land, material and protect the environment (He et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

The Influence of Information on Residents’ Green Housing Purchasing Behavior: Different Information Contents and Providers

He,

Liu,

et al. 2023

Journal of Civil Engineering and Management

View full text Add to dashboard Cite

To promote consumers to buy green housing, the paper tries to find the effect of information on consumers’ green housing purchasing behavior. It classifies the contents and providers of information and explores their different influences. The results show that: 1) Consumers’ age and environmental protection attitude have a significant impact on their purchasing behavior, while consumers’ gender and monthly income have no significant impact; 2) Consumers are more affected by information relating to the economy and indoor air quality. The detailed order of influence is as follows: information on loan at concessionary rates > cost saving in usage phase > indoor air quality > waste classification > investment benefit > carbon emission reduction > thermal comfort > acoustic environment > greening rate > luminous environment; 3) Consumers with higher environmental awareness care more about the information on living environment and carbon emission. Whereas, those with low awareness of environmental protection are more affected by information on economic benefits. 4) Regarding different information providers, the consumers are mostly impacted by the government, while the information from developers could induce limited effects. It could guide the government and developers to provide appropriate information to promote GH purchasing behavior.

show abstract

“…In order to achieve the goal of carbon neutrality, the construction industry is bound to face a huge transformation challenge. Green buildings, as a sustainable building type, are an effective way to achieve carbon neutrality in buildings [18][19][20][21][22].Fan et al [23] established a multi-objective optimisation scheme for green building modelling. The multi-objective optimisation of the construction effect of the project was carried out by combining the resource allocation and weather condition factors such as temperature, humidity and precipitation of the project site.…”

Section: Introductionmentioning

confidence: 99%

Sequencing the carbon emission cycle of green buildings in China based on an ecological city perspective

Wang

2023

3C TIC

View full text Add to dashboard Cite

As people's basic material living standards continue to rise, the demand for a better living environment and a better life is becoming increasingly strong. Since the 18th and 19th National Congresses of the Party proposed to carry out ecological civilization construction and build a beautiful China, carrying out ecological city construction has become one of the effective ways to solve the current urban development problems. In this paper, we summarise the latest research on green building assessment systems, life-cycle carbon emissions and life-cycle costs of buildings. We find that China's green building assessment system still has many shortcomings compared to the world's advanced green building assessment systems. Based on this, we have conducted a sequencing analysis of the life cycle carbon emissions of green buildings in China, so that buildings can meet the green building rating and at the same time achieve energy and carbon savings. The results of the study show that the building use phase has the highest carbon emissions in the building life cycle, accounting for 77% of the life cycle carbon emissions.

show abstract

Carbon Emission-Based Measurement of Floor Area Ratio Bonus for Residential Green Buildings in China

Cited by 8 publications

References 26 publications

Scenario Prediction of Carbon Emission Peak of Urban Residential Buildings in China’s Coastal Region: A Case of Fujian Province

Scenario Prediction of Carbon Emission Peak of Urban Residential Buildings in China’s Coastal Region: A Case of Fujian Province

The Influence of Information on Residents’ Green Housing Purchasing Behavior: Different Information Contents and Providers

Sequencing the carbon emission cycle of green buildings in China based on an ecological city perspective

Contact Info

Product

Resources

About