Font Size: a A A

Research And Implementation Of Building Intergrated Renewable Energy Data Analysis System Based On Time Series Algorithm

Posted on:2011-08-16Degree:MasterType:Thesis
Country:ChinaCandidate:L YuFull Text:PDF
GTID:2198330338991855Subject:Control theory and control engineering
Abstract/Summary:PDF Full Text Request
It is the developing orientation for our country's efforts in architecture economization to upgrade the technological innovation in the utilization of reproducible energy sources. Therefore, a key project entitled"the Academic and Demonstrative Project in Reproducible Energy Sources and Architecture Integration Technology"has been established in"the National Scientific and Technological Supporting Plan"in"the 11th Five-year Project".Our project aims to provide monitoring and evaluation in technological economics for the Energy Sources System of the Demonstrative Project, consummate the reproducible energy sources and architecture integration technology, and enhance the contribution rate of reproducible energy sources in reducing the energy consumption in civil architecture programs through efforts in promoting the achievements of the demonstrative project.In order to estimate objectively the operation of different kinds of reproducible energy sources in architecture engineering, the writer of this thesis makes great efforts in establishing"the Data Analysis System for Reproducible Energy Sources in Demonstrative Architecture Programs,"on the basis of analyzing a great deal of data, with the emphasis on the effect of the substitution of reproducible energy sources for conventional ones.On the basis of investigations on certain existing energy-economization evaluation systems, the writer proposes a evaluation model for different energy sources within the scopes of our country's architecture industries, based on time-order algorithm,so as to provide a set of standards to estimate the utility efficiency of reproducible energy sources in architecture programs.The main contents of this thesis are as follows:(1) The writer makes efforts in designing and consummating a web-based data analysis platform for demonstrative architecture programs utilizing reproducible energy sources, so as to meet the demands of the key Academic and Demonstrative Project for Reproducible Energy Sources and Architecture Integration Technology, according to the 11th Five-year Project. Furthermore, the writer proposes a conception and method to design a universal energy-source model on the developing platform of Microsoft.Net System, introduces the multi-layer-structured systematic framework and all the functional blocks on the platform, and accounts for the relevant key techniques of the data-base designing, algorithm designing, and consummation of the platform as well.(2) According to the requirements of the Reproducible Energy Sources and Architecture Integration Project, the writer constitutes a energy-source analysis model for the system, with a general conception layer, a public layer, and a basic model layer as well, and undertakes some analytic work on this model, combined with different examples selected from practice.(3) After a comparison between a few time-ordered predictive algorithms, the writer adopts Microsoft time-ordered algorithm to predict the economic indicators, according to the data features of the reproducible energy-source demonstrative architecture programs, and justifies that this algorithm performs outstandingly in predicting the utilization rate of the reproducible energy sources in practical programs.After several initial testing performances, this system is proved to meet all the targets for the design purposes, while it can fulfill the designations for data collection for multiple isomeric data sources from five different architecture climate zones as well as those from twenty-three demonstrative buildings with three kinds of reproducible energy sources for architecture integration, and consummate the functions such as data statistics, model establishments, data prediction, and image demonstrations.
Keywords/Search Tags:Renewable Energy Construction, Renewable Energy Assessment Model, Time Series, Microsoft Time Series Algorithm, Data Analysis Platform
PDF Full Text Request
Related items