Integrated Spatial Analysis Model For Building Energy In Cities

Under the background of fast acceleration of energy consumption in worldwide,at the same time the task of realizing energy saving and emission reduction is very taxing.It accelerates the research and development efforts on energy saving from single building to buildings clusters in city-scale.However,compared with the transportation energy research in city,research on building energy consumption is still in the very early stage.The main reason is the lack of the techniques to integrate a spatial analysis environment in the field of urban building energy assessment in cites.At present,with the development of the spatial data,information technology and intelligent building technology is not only providing the technical support to urban building energy model and the spatial analysis,but also rise an important opportunity to target the research on city scale model of systemic study in building energy saving.The papers based on the theoretical retrospect and arrangement in the present research and practice of the filed of building energy analysis and model prediction,points out optimization of building energy consumption in city scale is a systemic study,composed of spatial analysis,energy prediction and evaluation,which is necessary to build integrated comprehensive system in the research.To emphasize the concept of comprehensive study,the paper presents the main contents and relationships of the research of building energy saving.It points out the content framework and technical routes of the integrated spatial analysis model for building energy-saving in cities.Second,the paper puts forward the quantitative methods of the spatial distribution of urban building energy consumption as well as the application model.In which using the Bayesian method and combining with spatial analysis SAR and GWR technology to puts forward spatial EUI model with regional characteristics.By using the model this chapter developing a quantitative analysis of the influence of the spatial autocorrelation to related of building energy consumption in city-scale and demonstrates its application to buildings in London.This new integrated analysis can associate standard spatial analysis technology for energy consumption of neighborhood district,but also incorporate it relevant information about energy consumption and geographic information(GIS)of buildings.By incorporating with Bayesian approach,the resulting model is able to describe the spreads due to variation of energy consumption across districts within a higher accuracy.The proposed method enhances the building energy analysis in a higher resolution that can be used for estimating the probability distribution of the gross energy consumption,also as a function of prediction of energy growth under energy efficiency policies within the city-scale.Thirdly the research of spatial analysis of building energy across districts demonstrate that one of main characteristics for building energy in urban environment is spatially distributed.Then,about questions of how to identify the sensitivity of spatial factors and improve data accuracy of key factors,chapter four applies the theoretical research of spatial statistical models to investigate the relationships and uncertainties between spatial factors and building energy consumption as well as demonstrates its application with implementation steps in case studies.Fourthly,occupant behavior not only has the significant effects on energy consumption but also is one of the most significant tool and content in the field of building energy-saving research and energy-saving policy evaluation.However,there are still many limitations such as complex in current research technology and methodology.The paper proposes an integrated model approach which realize the organic combination of environment,architectural physics and behavior simulation.Through the integrated model paper expands the modeling and quantizing approach include mathematical form,parameter selection method of the study of energy consumption for buildings based on occupant behavior.The novel work builds the more comprehensive perspectives in the study of building energy simulation within city-scale.Paper is already building a systemic framework from theory to practice of the main contents and key links of the integrated spatial analysis model for building energy in cities.However,there are still many limitations,especially the abstract and complicated expressions in results,and lack of effective visual expression,which has hindered rational comprehension on spatially phenomenon and effectively convey information among the specialty of city planning and HVAC engineering,as well as forward an efficient city scale energy saving strategy.In view of this,paper finally develop systemic integrated analysis environment named “I-UBEA” which makes full use of current spatial data relevant to building energy consumption in order to thoroughly analysis the building energy patterns in cities.“I-UBEA” is an Agent-based spatial analysis environment of building energy which simplifies the implementation steps of spatially energy analysis,prediction and policy simulation,and provide a friendly and effective analysis tool for the government and planners.The better extensibilities of “I-UBEA” also establishes good groundwork for promoting the depth and cross-regional research in the future.