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Research On Multi-objective Optimization Design Of Zero-energy Solar Residential Buildings In Cold Region

Posted on:2017-08-03Degree:DoctorType:Dissertation
Country:ChinaCandidate:W D WuFull Text:PDF
GTID:1312330515965213Subject:Construction of Technological Sciences
Abstract/Summary:PDF Full Text Request
In this paper,the problems of multi-objective and multi-discipline optimization applicationin the design of zero energy building were researched.With the rapid development of construction technology and the increasingly complex system,modern building energy saving design concept and mode hadbeen greatly changed,from the pursuit of building energy efficiency to the pursuit of building energy system integrated use efficiency,from the previous serial design mode to integrate and line design model,from the pursuit of high efficiency building model to zero energy consumption building model.To this end,the building energy saving design was a huge and complex system,which needed to establish a close relationship between the bridge and solved the problem of multi-objectives and multi-discipline system.Optimal design was an important stage in the design of zero energy consumption.According to Beijing-Tianjin’s region,a typical residential building in cold climates as a prototype for zero energy multi-objective optimization design was carried out,to achieve the construction of multi-objective optimization for the systematic research on the related principle,purpose of data statistics,optimization algorithm and with Pareto optimal solution set evaluation method of zero energy,and to establish framework ofmulti-objectivesoptimization design,to construct the multi-object analysis model relatingthe design of zero energy architecture,to expand the researching application field of multi-objective design optimization technology in zero energy consumption of residential building design.It is concluded that the basic operation mode of the typical model of zero solar energy residential buildings in Beijing-Tianjin areaand the experimental monitoring of the case were detailedly interpretated.The main contents of this paper are as follows:First,the typical building physics experiment simplified analysis model was constructed based on Similarity Theory,the data screening,input and optimization were completed,a typical physical tradeoff analysis model wasbuild,a set of used to determine the building physical model simplify calculation method and Nine Block analysis theory based on the collection of residential house type and facade basic physical boundary conditions(power module)were given.Second,the basic line and calculation analysis model for the zero energy residential buildings in Beijing-Tianjin cold regions were established.The basic parameters of the model were analyzed,including the domestic and international high efficiency building,energy saving strategy and energy planning.Third,according to the zero energy construction operation mechanism energy and cost analysis modelwas established.In order to obtain the zero energy consumption building energy analysis method comprehensively,the theoretical model for the analysis of relative energy saving life mode based on the exergy analysis was constructed.Life cycle cost analysis was researched.Combined with the characteristics of zero energy,cost analysis of life cycle cost model of energy gains areconstructed.Combined with the analysis of the model,according to the material thickness,energy-efficient building envelope heat transfer coefficient of windows and photovoltaic area as the main constraint variables,and implements the related data of Beijing-Tianjin ZEB energy and cost approach based on statistical zero energy buildings,the mathematical model assembly was set up.Fourth,working mechanism of the current multi-objective optimization algorithm was studied.After the selection based on works NSGAII optimization technology and the introduction of real valued encoding,Michalcwicz crossover operator.The subject between data transfer and coupling relationship were analysised.The design variables,design constraints and the optimization goal were determined.The EEE-ZEB-MO P "technology framework was structured.The zero energy building energy balance a nd the cost of the objective function and constraints were established.The optimizatio n program was made.Pareto disaggregation was get.Results show that the algorithm s howed good closeness,uniformity and integrity in solving the Pareto disaggregation,a nd goodoptimization efficiency and decision making accuracy in this way.Using the multi-objective optimization of the typical zero energy building model in the algorith m,the feasibility and effectiveness of the proposed optimization method was verified.Fifth,in order to solve the problem of obtained certain accuracy and practical satisfaction in the multi-objective Pareto disaggregation,a set of solution which was improved entropy right evaluation method based onthe exergy analysis spatial characteristics was established to the multi-objective optimization design of zero energy build,and get the optimal solution.The best energy-saving system data combination,data of operating parameters and to the basic operation flow of residential building in Beijing-Tianjin area is analysised.Meanwhile,in order to the comprehensive andflexible evaluating ZEBto get more over allanalysis anddecision,and has combined qualitative and quantitative indicators comprehensive evaluation and decision method,a mixed grey multi hierarchical comprehensive evaluation method was proposed.Sixth,the use of multi-objective optimization techniques to be preliminary designed to zero energy solar building,and a hybrid gray correlation multi-level comprehensive evaluation method was establishedfor the evaluation of laboratory multi-energy integration system.Zero energy solar energy laboratory’s construction,monitoring system construction and operation of the systemwere introduced.A reference and popularization of the practice monitoring system were provided.
Keywords/Search Tags:Multi-objective optimization, Zero energy consumption buildings, Longevity, Energy, Cost, exergy analysis, Comprehensive evaluation
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