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基于BIM的装配式建筑节能减排耦合优化研究

Research on Coupled Optimization of Energy Conservation and Emission Reduction in Prefabricated Buildings Based on BIM
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摘要 为进一步提升装配式住宅的综合性能,基于BIM技术,提出一种多目标函数的装配式建筑节能减排耦合优化方法。其中,以建筑能耗、成本以及碳排放为优化目标,进行多目标优化模型的构建,同时通过BP神经网络进行建筑参数和目标函数之间的关系模型的构建,并引入带精英策略的非支配排序遗传(Elitist Non-Dominated Sorting Genetic Algorithm, NSGA-II)算法作为该关系模型的寻优方法。结果表明,构建的多目标优化模型能够对三个优化目标进行良好的优化,使得建造过程中三个性能目标均有所提升,验证了该方法的有效性;构建的基于NSGA-II算法的BP神经网络建筑节能多目标优化算法能够对目标函数进行有效优化,进而实现效果更好的建筑节能。综上可知,基于BIM技术的装配式建筑节能减排优化方法性能良好,能够取得良好的优化效果,能够应用于实际的建造场景,帮助提升节能优化效果,可行性较高。 To further improve the comprehensive performance of prefabricated residential buildings,a multi-objective function coupled optimization method for energy conservation and emission reduction of prefabricated buildings is proposed based on BIM technology.Among them,a multi-objective optimization model is constructed with building energy consumption,cost,and carbon emissions as optimization objectives.At the same time,a relationship model between building parameters and objective functions is constructed using BP neural network,and the NSGA-II algorithm is introduced as the optimization method for this relationship model.The results show that the constructed multi-objective optimization model can effectively optimize the three optimization objectives,resulting in improvements in all three performance objectives during the construction process,verifying the effectiveness of the method;The BP neural network multi-objective optimization algorithm for building energy efficiency based on NSGA-II algorithm can effectively optimize the objective function,thereby achieving better building energy efficiency.In summary,it can be seen that the energy-saving and emission reduction optimization method for prefabricated buildings based on BIM technology has good performance and can achieve good optimization results.It can be applied to practical construction scenarios to help improve the energy-saving optimization effect,with high feasibility.
作者 蒋琳 莫民静 JIANG Lin;MO Minjing(Guangxi Vocational&Technical Institute of Industry,Nanning 530001,China)
出处 《自动化与仪器仪表》 2024年第7期111-114,119,共5页 Automation & Instrumentation
基金 2021年广西工业职业技术学院科学研究重点课题《“EPC+BIM+装配式”新型建造模式的应用研究》(桂工业院科研Y2021KY001) 2022年度广西高校中青年教师科研基础能力提升项目《“EPC+BIM+装配式”新型建造模式的应用研究》(2022KY1289)。
关键词 节能设计 装配式建筑 BIM技术 多目标优化 NSGA-II energy saving design prefabricated buildings BIM technology multi objective optimization NSGA-II
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