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.
With the comprehensively promoting the development of digital twins for large rivers and lakes on a national scale, the construction of a digital twin Weihe River Bain (WRB) has been given high priority. At present, WRB is generally still in the initial stages of smart water construction. The digital twin WRB is being built to address its problems in terms of information, intelligence and digitization. The overall framework of the digital twin Weihe River Basin consists of a digital twin platform and an information infrastructure. The data base is used as the data construction support to supplement and generate the refined L2 data base of the WRB based on the national L1 data base. The professional model as the core of the algorithm provides physical mechanisms and data-driven models. The knowledge base is the driver for intelligent construction to broaden the data dimension of the digital twin WRB. The research has been designed to digitally map and intelligently simulate the entire physical elements of the smart WRB and the entire process of intelligent water management. The results have been applied in the construction of the digital twin based smart WRB. It can provide a reference for further improvement and development of digital twin river basin construction, which also provide ideas for a new phase of smart water development in the Wei River.
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