Estimating energy savings in Chinese residential buildings from 2001 to 2015: A decomposition analysis

Yan, Ran; Ma, Minda; Pan, Tian

doi:10.25103/jestr.101.15

Cited by 28 publications

(10 citation statements)

References 12 publications

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“…The consumption of fossil energy, such as coal and oil, generates a large amount of waste gas, which affects the climate and endangers human health. Therefore, energy-saving emission reduction is crucial (Ma et al, 2017a;Yan et al, 2017). Many scholars have focused on carbon emissions reduction in their research (Shuai et al, 2017;Ma et al, 2017b;Ma et al, 2017c), and now society as a whole is beginning to pay attention to the haze issue in China.…”

Section: Introductionmentioning

confidence: 99%

Evolution of the spatiotemporal pattern of PM2.5 concentrations in China – A case study from the Beijing-Tianjin-Hebei region

Yan

Lei

Shi

et al. 2018

Atmospheric Environment

199

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Atmospheric haze pollution has become a global concern because of its severe effects on human health and the environment. The Beijing-Tianjin-Hebei urban agglomeration is located in northern China, and its haze is the most serious in China. The high concentration of PM2.5 is the main cause of haze pollution, and thus investigating the temporal and spatial characteristics of PM2.5 is important for understanding the mechanisms underlying PM2.5 pollution and for preventing haze. In this study, the PM2.5 concentration status in 13 cities from the Beijing-Tianjin-Hebei region was statistically analyzed from January 2016 to November 2016, and the spatial variation of PM2.5 was explored via spatial autocorrelation analysis. The research yielded three overall results. (1) The distribution of PM2.5 concentrations in this area varied greatly during the study period. The concentrations increased from late autumn to early winter, and the spatial range expanded from southeast to northwest. In contrast, the PM2.5 concentration decreased rapidly from late winter to early spring, and the spatial range narrowed from northwest to southeast. (2) The spatial dependence degree, by season from high to low, was in the order winter, 2 autumn, spring, summer. Winter (from December to February of the subsequent year) and summer (from June to August) were, respectively, the highest and lowest seasons with regard to the spatial homogeneity of PM2.5 concentrations. (3) The PM2.5 concentration in the Beijing-Tianjin-Hebei region has significant spatial spillovers. Overall, cities far from Bohai Bay, such as Shijiazhuang and Hengshui, demonstrated a high-high concentration of PM2.5 pollution, while coastal cities, such as Chengde and Qinhuangdao, showed a low-low concentration.

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Section: Introductionmentioning

confidence: 99%

Evolution of the spatiotemporal pattern of PM2.5 concentrations in China – A case study from the Beijing-Tianjin-Hebei region

Yan

Lei

Shi

et al. 2018

Atmospheric Environment

199

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“…In recent years, government officials and research institutions have paid great attention to the importance of identifying the influencing factors of carbon dioxide emissions for carbon emission reduction [9][10][11]. As a result, a number of techniques have been explored to help identify the driving factors of carbon emissions [12][13][14].…”

Section: Literature Reviewmentioning

confidence: 99%

Operational Carbon Change in Commercial Buildings under the Carbon Neutral Goal: A LASSO–WOA Approach

Xiang

et al. 2022

Buildings

Self Cite

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The rapid growth of energy consumption in commercial building operations has hindered the pace of carbon emission reduction in the building sector in China. This study used historical data to model the carbon emissions of commercial building operations, the LASSO regression was applied to estimate the model results, and the whale optimization algorithm was used to optimize the nonlinear parameter. The key findings show the following: (1) The major driving forces of carbon emissions from commercial buildings in China were found to be the population size and energy intensity of carbon emissions, and their elastic coefficients were 0.6346 and 0.2487, respectively. (2) The peak emissions of the commercial building sector were 1264.81 MtCO2, and the peak year was estimated to be 2030. Overall, this study analyzed the historical emission reduction levels and prospective peaks of carbon emissions from China’s commercial buildings from a new perspective. The research results are helpful for governments and decision makers to formulate effective emission reduction policies and can also provide references for the low-carbon development of other countries and regions.

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“…Guided by the research of Ma et al [8], this study developed a commercial building emissions model considering a series of impact factors, as illustrated in Figure 2 and Box 1. Equations ( 1) and ( 2) demonstrate the logical flow of the extended Kaya identity in Figure 2, which is essential to evaluate the past emissions abatement and simulate the prospective emissions scenario of the commercial building operations [32].…”

Section: Emission Model Of Commercial Building Operationsmentioning

confidence: 99%

“…Refined as Equations ( 1) and ( 2) demonstrate the logical flow of the extended Kaya identity in Figure 2, which is essential to evaluate the past emissions abatement and simulate the prospective emissions scenario of the commercial building operations [32].…”

Section: Emission Model Of Commercial Building Operationsmentioning

confidence: 99%

Carbon Neutral Roadmap of Commercial Building Operations by Mid-Century: Lessons from China

Zhang

Xiang

et al. 2021

Buildings

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Carbon neutrality has positive impacts on people, nature and the economy, and buildings represent the “last mile” sector in the transition to carbon neutrality. Carbon neutrality is characterized by the decarbonization of operations and maintenance, in addition to zero emissions in electricity and other industry sectors. Taking China’s commercial buildings as an example, this study is the first to perform an extensive data analysis for a step-wise carbon neutral roadmap of building operations via the analysis of a dynamic emission scenario. The results reveal that the carbon emissions abatement of commercial building operations from 2001 to 2018 was 1460.85 (±574.61) mega-tons of carbon dioxide (Mt CO2). The carbon emissions of commercial building operations will peak in the year 2039 (±5) at 1364.31 (±258.70) Mt, with emission factors and energy intensity being the main factors influencing the carbon peak. To move toward carbon neutral status, an additional 169.73 Mt CO2 needs to be cut by 2060, and the low emission path toward carbon neutrality will lead to the realization of the carbon peak of commercial buildings in 2024, with total emissions of 921.71 Mt. It is believed that cutting emissions from the operation of buildings in China will require a multi-sectoral synergistic strategy. It is suggested that government, residents, enterprises, and other stakeholders must better appreciate the challenges to achieve a substantial carbon reduction and the need for urgent action in the building sector in order to achieve carbon neutrality.

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Estimating energy savings in Chinese residential buildings from 2001 to 2015: A decomposition analysis

Cited by 28 publications

References 12 publications

Evolution of the spatiotemporal pattern of PM2.5 concentrations in China – A case study from the Beijing-Tianjin-Hebei region

Evolution of the spatiotemporal pattern of PM2.5 concentrations in China – A case study from the Beijing-Tianjin-Hebei region

Operational Carbon Change in Commercial Buildings under the Carbon Neutral Goal: A LASSO–WOA Approach

Carbon Neutral Roadmap of Commercial Building Operations by Mid-Century: Lessons from China

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