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• W4366160733 abstract "The energy consumption of the whole life cycle of the existing buildings in China exceeds 50% of the total energy consumption of the society. With the rapid development of the construction industry, this proportion is still growing. On the whole, there is a lack of analysis of the factors related to energy consumption and comfort in the process of building scheme design at this stage. In addition, designers have insufficient understanding of the theoretical system of low-energy buildings, and it is difficult to optimise the scheme throughout the design. To solve these problems, this research first proposes an integrated design method of green buildings based on building information modelling technology. This method integrates and shares engineering information, problem solving, simulation tools, architectural model applications and architectural team communication platforms, which can effectively address the problem that the current green building projects do not belong to each other when designing. The research also proposes a multi-objective optimisation algorithm based on the genetic algorithm. The proposed method optimises the overall design of green buildings, particularly the design of natural lighting, starting from the influence relationship between targets and targets and between targets and enclosure systems. To obtain the optimal effect, the virtual function of Traind was selected as the training function after testing. In addition, the model obtained a reasonable range of design parameters according to the energy consumption of the building in the uncomfortable time. Finally, the method proposed in the study was tested. The experimental results showed that compared with the overall energy consumption of the initial scheme, that of the optimised scheme was reduced by 10.46%; the natural light coefficient increased by 0.44%; and the pressure differeces pascal hours (PDPH) was optimised by 5.38%. The optimisation scheme can effectively reduce the energy consumption of the building in the whole life cycle and improve comfort." @default.
• W4366160733 created "2023-04-19" @default.
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• W4366160733 date "2023-05-11" @default.
• W4366160733 modified "2023-09-26" @default.
• W4366160733 title "Optimisation of energy consumption using building information modelling technology" @default.
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• W4366160733 doi "https://doi.org/10.1680/jsmic.22.00033" @default.
• W4366160733 hasPublicationYear "2023" @default.
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