2022
DOI: 10.1016/j.apenergy.2022.119828
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China’s commercial building carbon emissions toward 2060: An integrated dynamic emission assessment model

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Cited by 72 publications
(20 citation statements)
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“…Therefore, establishing a model for solving FDI-CENLDS nonlinear differential dynamic equations is difficult. This paper adopts Hendry's advocated "datadriven" modeling method, using discrete data from Zhejiang Province between 1995 and 2020 as samples The parameters in the system of differential equation system are estimated using dynamic econometric methods to establish a discrete-type nonlinear dynamic model [25]. This model is transformed into a differential dynamic system model, and numerical solutions are obtained to generate graphical solutions and phase diagrams.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Therefore, establishing a model for solving FDI-CENLDS nonlinear differential dynamic equations is difficult. This paper adopts Hendry's advocated "datadriven" modeling method, using discrete data from Zhejiang Province between 1995 and 2020 as samples The parameters in the system of differential equation system are estimated using dynamic econometric methods to establish a discrete-type nonlinear dynamic model [25]. This model is transformed into a differential dynamic system model, and numerical solutions are obtained to generate graphical solutions and phase diagrams.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Population is related to urban energy consumption. The progression of urbanization is expected to drive the migration of residents from rural to urban areas [31]. This indicates that the social and economic activities of the migrating population will undergo spatial transfers or quantitative changes during the adjustment process, thereby influencing the carbon emissions of different regions [30].…”
Section: Strategies For Carbon Emissions Reduction Of Buildingsmentioning
confidence: 99%
“…Urban building stock evolution is heavily influenced by economic factors, which affect people' disposable income, demand for floor space and energy services, and developer visions for certain building types [31]. Newly built and destroyed building areas are both inputs into the total building stock area [25].…”
Section: Strategies For Carbon Emissions Reduction Of Buildingsmentioning
confidence: 99%
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“…In China, there is a long-term and stable relationship between energy consumption and economic growth, and there is a one-way causal relationship between economic growth and energy consumption [21]. Huo [22] innovatively develops the Integrated Dynamic Emission Assessment Model (IDEAM) to model the dynamic evolution of Chinese commercial building carbon emissions toward 2060. The results show that commercial building carbon emissions will peak at 1.28 Gigatons (Gt) of CO 2 in 2037 under the baseline scenario and will advance toward 2029 with an emissions peak of 0.98 Gt CO 2 under the low-carbon scenario.…”
Section: Introductionmentioning
confidence: 99%