2022
DOI: 10.1088/1742-6596/2186/1/012008
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Effects of Building Physics Form on Energy Consumption for Buildings

Abstract: The building sector plays an important role in urban energy conservation and CO2 emissions reduction. Therefore, it is necessary to fundamentally explore the influencing factors and mechanisms of building energy consumption. This study aims to explore the impact of building physical form on energy consumption for buildings. Firstly, this study uses different types of buildings as research objects. And method of combining EnergyPlus and GIS is used to calculate building energy consumption. Then adopting regress… Show more

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Cited by 7 publications
(3 citation statements)
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“…The cost estimation model of each star level of green building was established by linear regression method, and the reliability of the model was verified [20]. The key points of cost control are pointed out through the identification of incremental cost [21].…”
Section: Related Workmentioning
confidence: 99%
“…The cost estimation model of each star level of green building was established by linear regression method, and the reliability of the model was verified [20]. The key points of cost control are pointed out through the identification of incremental cost [21].…”
Section: Related Workmentioning
confidence: 99%
“…In a supertall building design, the choice of the building form is critical as it affects many other important parameters (e.g., structural efficiency, aerodynamic efficiency, energy efficiency) that make the project viable [12,13]. In supertall buildings, the load-bearing systems cannot be designed independently without taking into account the building form [14].…”
Section: Introductionmentioning
confidence: 99%
“…Meanwhile, buildings become larger in scale, and better in grade, taking up a growing portion in global energy consumption. erefore, it is practically signi cant to reduce the energy consumption, lower the emissions, and predict the energy consumption of large buildings [1][2][3][4][5][6][7]. For models with low data requirements, the trend of the time series for building energy consumption prediction can be obtained through simple statistical analysis of time nodes.…”
Section: Introductionmentioning
confidence: 99%