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Method Research And System Development Of Energy Analysis For Public Buildings

Posted on:2016-07-03Degree:MasterType:Thesis
Country:ChinaCandidate:M K QiuFull Text:PDF
GTID:2308330473965302Subject:Control engineering
Abstract/Summary:PDF Full Text Request
With the development of C hina’s urbanization accelerates, the public building energy consumption of the total social energy consumption proportion is increasing, so the research of public building energy consumption analysis model has important significance for building a conservation minded society. The developed countries of public building energy consumption than the Chinese save 2 to 3 times, so our public buildings has great energy saving space,and this paper studies the public building energy consumption analysis to promote building energy efficiency.Based on the stud y of a large number of domestic and foreign public building energy consumption analysis based on references, research the public building energy consumption characteristics, and puts forward the new public building energy consumption prediction and evaluation model of energy consumption, the two models of structure design mainly by artificial fish neural network model. Based on the traditional artificial fish algorithm and a large number of scholars have researched on the basis of the improved artificial fish algorithm,this paper puts forward a new search strategy, the new algorithm in the optimization speed and convergence precision has a larger increase, and applys it to the weights of neural network optimization, the experimental results show that has a good effect. New type of artificial fish neural network model for time series prediction and evaluation of energy consumption. New type of artificial fish neural network time series prediction model used to forecast public building energy consumption, and used to predict the future for a period of time the amount of energy consumption. New type of artificial fish neural network evaluation model for public building energy consumption evaluation, which can judge the situation of building energy consumption, namely the energy consumption level of the target architecture in the same building.Through the analysis of energy consumption data model application in a building and commercial building energy consumption statistical database of public building energy consumption(C BECS) analysis, it is to verify the validity of the algorithm and the model and the accuracy of. In order to put the research into application to practical work, based on the VS2010 software development tool design of public building energy co nsumption analysis system, which is not only integrates energy consumption analysis algorithm,but also joined the visual interface design, and the energy consumption of the database, which makes the convenience of Engineering application.
Keywords/Search Tags:Public building, artificial fish swarm, neural network, evaluation, prediction
PDF Full Text Request
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