Modeling temporal variations in global residential energy consumption and pollutant emissions

Chen, Han; Huang, Ye; Shen, Huizhong; Chen, Yilin; Ru, Muye; Chen, Yuanchen; Lin, Nan; Su, Shu; Zhuo, Shaojie; Zhong, Qirui; Wang, Xilong; Liu, Junfeng; Li, Bengang; Tao, Shu

doi:10.1016/j.apenergy.2015.10.185

Cited by 84 publications

(72 citation statements)

References 47 publications

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“…The spatial and time resolution of the PD and GDP grid-data are 1 km × 1 km and one year, respectively. The CE grid-data used in this study were obtained from the China Emission Accounts and Datasets [35,36]. The spatial resolution of CE was 0.1…”

Section: Socioeconomic Factorsmentioning

confidence: 99%

PM2.5 Spatiotemporal Evolution and Drivers in the Yangtze River Delta between 2005 and 2015

Yun

Jiang

et al. 2019

Atmosphere

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High concentrations of PM2.5 are a primary cause of haze in the lower atmosphere. A better understanding of the spatial heterogeneity and driving factors of PM2.5 concentrations is important for effective regional prevention and control. In this study, we carried out remote sensing inversion of PM2.5 concentration data over a long time series and used spatial statistical analyses and a geographical detector model to reveal the spatial distribution and variation characteristics of PM2.5 and the main influencing factors in the Yangtze River Delta from 2005 to 2015. Our results show that (1) The average annual PM2.5 concentration in the Yangtze River Delta prior to 2007 displayed an increasing trend, followed by a decreasing trend after 2007 which eventually stabilized; and (2) climate regionalization and geomorphology were the dominant natural factors driving PM2.5 concentration diffusion, while total carbon dioxide emissions and population density were the dominant socioeconomic factors affecting the formation of PM2.5. Natural factors and socioeconomic factors together lead to PM2.5 pollution. These findings provide an interpretation of PM2.5 spatial distribution and the mechanisms influencing PM2.5 pollution, which can help the Chinese government develop effective abatement strategies.

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Section: Socioeconomic Factorsmentioning

confidence: 99%

PM2.5 Spatiotemporal Evolution and Drivers in the Yangtze River Delta between 2005 and 2015

Yun

Jiang

et al. 2019

Atmosphere

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“…As global issues, such as climate change [1], restriction of energy sources and environmental impacts are affecting human life; conducting research on these is becoming increasingly topical. Sustainable development can help to alleviate these issues under consideration.…”

Section: Literature Reviewmentioning

confidence: 99%

Consumers’ Attitudes to Support Green Energy: A Case Study in Shanghai

et al. 2019

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Residents’ willingness to use green energy products is a major concern for different stakeholders and policymakers due to the reformed Chinese electricity market since 2015. This study focused on the Chinese consumer’s willingness to opt and pay for environmentally-friendly electricity sources in Shanghai’s residential sector. A questionnaire survey was used to find out the influence of gender, age, education, awareness and income level on consumers’ attitudes to alter their energy sources to green ones. The results indicated that income level and awareness are significant barriers in the usage of green energy products. Increasing the respondent’s awareness about the issues of non-green energy products convinced 97% of them to change their electricity sources completely or partly, in line with their monthly income. This clearly shows that clarifying the benefits of green energy products is a key tool to achieve a green environment in China.

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“…Chen et al [15] conducted seasonal inventories for global electricity and fuel consumption for the residential sector, by using regression models and validated global electricity and fuel consumption in the residential sector based on a series of physical and socioeconomic factors. Their results can be used to predict temporal variations of residential energy consumption, pollutant emissions, and net effects of climate warming on energy consumption and emissions.…”

Section: Co-benefits Of Ghg Mitigation With Other Environmental Issuesmentioning

confidence: 99%

Understanding the energy consumption and greenhouse gas emissions and the implication for achieving climate change mitigation targets

et al. 2016

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Modeling temporal variations in global residential energy consumption and pollutant emissions

Cited by 84 publications

References 47 publications

PM2.5 Spatiotemporal Evolution and Drivers in the Yangtze River Delta between 2005 and 2015

PM2.5 Spatiotemporal Evolution and Drivers in the Yangtze River Delta between 2005 and 2015

Consumers’ Attitudes to Support Green Energy: A Case Study in Shanghai

Understanding the energy consumption and greenhouse gas emissions and the implication for achieving climate change mitigation targets

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