Effect of Floor Shape Optimization on Energy Consumption for U-Shaped Office Buildings in the Hot-Summer and Cold-Winter Area of China

Xiaoyu Ying,Wenzhe Li

doi:10.3390/su12052079

Abstract

This paper explored the effects of the side proportion of building floor shape on building energy consumption. It is based on the analysis of regression models that were developed in the present study. The simplified building models can be used to conduct a parametric study to investigate the effect of building plane shape parameters on total heating and cooling load. DesignBuilder was used to build and simulate individual building configuration. Energy consumption simulations for forty-eight U-shaped buildings with different plane layouts were performed to create a comprehensive dataset covering general ranges of side proportions of U-shaped buildings and building orientations. Statistical analysis was performed using MATLAB to develop a set of regression equations predicting energy consumption and optimizing floor shapes. Furthermore, perimeter-area ratio (PAR), width ratio, and depth ratio were considered as three factors to characterize the quantitative relationship between floor shape and energy consumption. It is envisioned that the binary quadratic polynomial regression models, visualized as a smooth surface in space and mapped to a vortex image on the plane, can be used to estimate the energy consumption in the early stages of the design when different building schemes and design concepts are being considered.

Highlights

With the rapid development of China’s urban construction and the continuous improvement of people’s requirements for the built environment, the energy consumption of buildings continues to increase
A study has shown that a mean annual energy consumption difference of 7.88% in favor of the prismatic building envelope comparing to buildings with right angles [6]
The three kinds of regression models were compared in the article validated fitting results and improved the determination coefficient of regression models to 0.99

Summary

Research Background

With the rapid development of China’s urban construction and the continuous improvement of people’s requirements for the built environment, the energy consumption of buildings continues to increase. Research by Lin from Tongji University shows that the larger the shape coefficient of office buildings in hot-summer and cold-winter areas, the greater the potential for using natural resources and the lower the energy consumption of buildings [12]. Some scholars proposed a kind of design process building parametric modeling that combines evolutionary algorithms and energy consumption simulation to help architects better analyze building performance in the early scheme stage. This method first sets the variables and constraints among building design parameters, performs modeling, design optimization, energy consumption and simulation. TThhee ppaarraammeetteerr mmooddeell ooff UU--shaappeedd buiillddiinngg iiss constrructeedd,, with the help of MATLAB mathemattiiccaall ccaallccuulalatitoionnsosoftfwtwaraereanadndDeDsiegsnigBnuBiludieldr erneerngeyrgsiymsuilmatuiolantisoonftwsoafrtew, arned, baunidldbinugilsdwinigths wdiifftheredniftfelaryenout tlsayaonudttshaenirdentheergiryecnoenrsguymcpotniosunmdapttaiownedreatoabtwaienredo.bRtaeignredss.ioRnegarneaslsyiosins oafnbaluyisldisinogf bshuailpdeinpgarsahmapeteerpsaarnadmeenteerrsgyancodnesnuemrgpytiocnondsautamwptaisonpedrfaotramwedastopperfeodrimctetdhetodepsirgendipctartahme edteerssigonf ploawra-emneetregrys oUf-lsohwap-eendebrguyildUi-nsghsa.ped buildings

Methodology

Simulation of Building Energy Consumption

Depth Ratio and Energy Consumption of Buildings

Conclusion

Findings

Conclusions