Font Size: a A A

College Student Apartments Countermeasures And Analysis In Energy Saving

Posted on:2020-05-29Degree:MasterType:Thesis
Country:ChinaCandidate:S LiangFull Text:PDF
GTID:2392330578462218Subject:Electrical engineering
Abstract/Summary:PDF Full Text Request
With the rapid development of industrialization and urbanization,energy issue will be a key issue hindering China's economic development.Colleges are the key energy consumption units in China,thus reducing building energy consumption in colleges is one of the effective ways of energy conservation in schools.Whether from the strategic global perspective to realize the sustainable development of energy,or from the point of view of lowering energy consumption,it will play a decisive role to the normal operation of energy conservation in colleges.The state actively encourages colleges to establish a monitoring platform for energy consumption on campus,renovate large public buildings for energy conservation,and adopt measures conducive to the development of low-carbon life,such as the recycling of renewable resources.This paper takes the electricity consumption of a student apartment in a university campus in north China as an example,and applies the grey system theory and linear regression theory to the prediction of electricity consumption of the student apartment,which solves the problems such as the heavy workload in conventional methods and the difficulty in dealing with the nonlinear relationship between various influencing factors.Firstly,a series of grey prediction models are established based on the grey system theory to predict the electricity consumption of the apartment and make comparisons of the errors between different models.To analyze the influencing factors of electricity consumption,grey relational analysis method and linear regression method are used to calculate the correlation between electricity consumption and various influencing factors,and compare the two algorithms to determine its main influencing factor.Then grey relational prediction model and linear regression model are established to make simulation and prediction analysis of electricity consumption throughout the years.Through the modeling and analysis of the system,combined with the development goal of campus energy conservation and emission reduction,based on the fundamental,this paper puts forward the measures for electric power transformation on campus,thus providing a theoretical basis for the energy saving potential and development of public buildings similar to colleges.
Keywords/Search Tags:Grey relational analysis, Grey prediction model, Energy conservation, Electricity consumption, Linear regression
PDF Full Text Request
Related items