| In recent years,China's urbanization process has been accelerated constantly.In the meaning time,building industry has also been developed rapidly.With the improvement of living quality,people's requirements for building area,living environment and comfort conditions have been keeping rising,resulting in the continuous increase of building energy consumption.Therefore,it is urgent to save energy and reduce energy consumption in the construction industry.For construction projects,energy consumption is inevitable through the whole life cycle of design planning,construction,operation and maintenance.Taking the energy-saving driving mechanism and multi-objective optimization strategy of total lifecycle of construction project as the research objects,this paper aims at identifying the influencing factors of energy saving in the total lifecycle of construction projects based on the method of mapping knowledge domain firstly.Then,structural equation model is used to analyze the influence path and relationship of various factors on energy-saving driving force,and to explore the driving mechanism of energy-saving in total lifecycle of construction projects.On this basis,from the three dimensions of society,nature and economy,the multi-objective optimization strategy of energy saving for sustainable development of construction projects is put forward.Finally,the scientificity and feasibility of the optimization strategy is verified taking a construction project for example.The results show that the established structural equation model can objectively reflect energy-saving driving mechanism of the total lifecycle of construction project.The proposed energy consumption,daylighting and cost optimization strategies can obtain the non-dominant solution to balancing the requirements of multi-performance objectives and predict the cost.The research work carried out in this paper mainly includes the following aspects:1.On the basis of literature research,this paper uses the method of scientific metrology to visualize the related literatures in Web of Science and CNKI databases,and draws the mapping knowledge domain of energy-saving research of international and domestic construction projects using Citespace.By keywords co-occurrence analysis and cluster analysis,this paper identifies and defines the influencing factors of energy saving in the total lifecycle,constructs theoretical model of the dynamic roles of government policy,energy-saving technology,energy-saving awareness and facilities management on energy-saving.2.According to the steps and methods of empirical research,this paper develops measurement tools for the energy-saving factors.Based on the questionnaire survey to the professionals who are occupied on related construction project management jobs in Jiangsu Province,descriptive statistics,reliability and validity tests were conducted on the survey samples using statistical analysis tools such as SPSS19 and AMOS21.Based on factor analysis,five impact factors for energy saving in the construction project were identified,including 33 secondary measurement indicators.The structural equation model of building energy-saving project is finally constructed by means of correlation test,test and correction of fitting index.The revised model and theoretical model are used to verify the research hypothesis and clarify the impact path and mechanism of government policy,energy-saving technology,energy-saving awareness and facility management on energy-saving power in total lifecycle of construction project.3.On the basis of empirical research,this paper establishes a multi-objective optimization model for energy saving of construction projects from the social,natural and economic dimensions of sustainable development of construction projects.This model takes reducing energy consumption as the natural dimension goal,lighting performance as the social dimension goal,and project cost as the economic dimension goal.Building energy consumption and daylighting are simulated by BIM technology,parametric driving and cloud computing.The changing mechanism of building energy consumption and daylighting is studied under different parameters.4.As for the energy-saving multi-objective optimization model proposed in this paper,Optimo is used as the optimization engine to analyze the convergence,diversity and limitations of NSGA-II algorithm on classical multi-objective optimization problems.The multi-objective optimization process of building performance based on NSGA-II algorithm is proposed,including BIM model establishment,parametric drive development,building performance simulation,multi-objective optimization design,Pareto frontier analysis,energy saving decision and evaluation.The genetic algorithm is used to improve BP-neural network to realize the neural network model of cost prediction.5.Taking a case project of a convention center as an example,the design parameters,such as window-wall ratio,building orientation,window height,glass material,wall material,and so on,are selected to optimize the energy consumption and daylighting of the project based on NSGA-II algorithm through Dynamo parameterized driving BIM model.The results show that the convergence effect of the optimization process is good,and the non-dominant solution for balancing multi-performance objectives is calculated.The optimization results are trained as input data of the neural network.The results show that the iterative error of the training data is small and can be used for predictive analysis of project cost.From the perspective of construction project management,this paper clarifies the path of influencing factors of energy saving in total lifecycle and explores the driving mechanism of energy saving.On the basis of empirical research,the strategy of multi-objective optimization of building energy consumption,daylighting and cost is put forward,which integrates BIM technology,parametric drive,cloud computing,genetic algorithm and neural network.The strategy realizes the compound weighing and energy-saving regulation combining qualitative and quantitative research,and improves the informatization level of building energy-saving research in China.The dissertation consists of 89 figures,55 tables,and 353 references. |
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