Energy-saving design of office buildings considering light environment and thermal environment

N. Ding,H. Guo

doi:10.2478/amns.2021.2.00004

Abstract

Abstract The energy consumption of office buildings is analysed, and the influential factors to be considered in architectural design that affect the light and heat environment of office buildings are summarised. The original building model was established by Ecotect, and variable methods were adopted to simulate the influence of different influencing factors on the light and thermal environment, and to quantitatively evaluate the importance of different factors on energy consumption of buildings. This analysis provides an important basis for optimised energy saving design, and finally puts forward the optimal design strategy for energy saving, so as to build harmonious light and heat architectural environment.

Highlights

With the continuous growth and acceleration of urbanisation, new buildings proliferate, especially public buildings, which make energy conservation and environmental protection become a new subject of contemporary architectural theory research
In the design of office buildings, how to improve comfort while saving energy and protecting the environment has become a hot topic in architectural theory and technology research (Yu and Su, 2015; Huang and Niu, 2016)
By summarising and analysing the data obtained from PHPP energy simulation analysis, Ecotect daylighting analysis and thermal environment analysis, the overall load were further determined and the specific parameters were optimised to select the design solution with the lowest energy consumption

Summary

Introduction

With the continuous growth and acceleration of urbanisation, new buildings proliferate, especially public buildings, which make energy conservation and environmental protection become a new subject of contemporary architectural theory research. By summarising and analysing the data obtained from PHPP energy simulation analysis, Ecotect daylighting analysis and thermal environment analysis, the overall load were further determined and the specific parameters were optimised to select the design solution with the lowest energy consumption.

Results

Conclusion