Paper
22 December 2022 Emission reduction prediction and policy simulation of prefabricated buildings using system dynamics
Author Affiliations +
Proceedings Volume 12460, International Conference on Smart Transportation and City Engineering (STCE 2022); 124601D (2022) https://doi.org/10.1117/12.2658301
Event: International Conference on Smart Transportation and City Engineering (STCE 2022), 2022, Chongqing, China
Abstract
Under the national "double carbon" goal, taking the prefabricated building as the research goal, the system dynamics model of prefabricated building is constructed using Vensim software. Draw the causal circuit diagram and stock flow diagram, determine the model equation, study the relationship and action mechanism between different influencing factors of prefabricated buildings. Simulate the change trend of carbon emission of prefabricated buildings under the time series, investigate the sensitivity of eight types of industrial policy changes to the system. Taking Xi'an city as an example, the results show that the market share of prefabricated buildings in Xi'an city will reach 52%, and the total emission reduction will reach 12.56 million tons in 2030. Industrial policies play an obvious role in promoting the development of prefabricated buildings. The implementation of construction policies, fiscal policies, technical policies and ecological development policies have good effects, which plays a great role in promoting the development of prefabricated buildings and energy conservation and emission reduction in Xi'an City, and provide references for emission reduction in other cities.
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Linqian Tian, Rengui Jiang, Xiaowan Chen, Jiancang Xie, Lingzi Wang, Xinyi Liu, and Jiaote Dang "Emission reduction prediction and policy simulation of prefabricated buildings using system dynamics", Proc. SPIE 12460, International Conference on Smart Transportation and City Engineering (STCE 2022), 124601D (22 December 2022); https://doi.org/10.1117/12.2658301
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KEYWORDS
Buildings

Carbon

Data modeling

Error analysis

Atmospheric modeling

Pollution control

Standards development

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