Abstract

Aiming to lessen energy consumption and heating cost, this paper analyzes the effect of different types of window for residential building based on intermittent heating supply. The research results show that the type of window with a smaller heat transfer coefficient has higher energy consumption. Otherwise, the rate of temperature rising is slightly affected by the change of window with different heat transfer coefficient and window-to-wall ratio. Based on the economic and technical analysis, through changing the better window, energy-saving ratio can be arrived to 10.4%-16.8% and economic recovery period is 4.4-10.4 years. The research findings can be used for reference to thermal design in new residential buildings and provide improvement of building performance for existing residential buildings.

Highlights

  • In the hot summer and cold winter areas of China, the heat loss of the residential building envelope structure accounts for 70%-80% of the total heat loss, and the total heat loss of the window accounts for 47% of the total heat loss

  • Otherwise, based on the intermittent heating supply system which is generally believed that can significantly reduce the heating energy consumption and cost compared with the continuous heating [2-5]

  • The article tries to reveal the influence of different types of window for the energy consumption of residential building in Chongqing

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Summary

Introduction

In the hot summer and cold winter areas of China, the heat loss of the residential building envelope structure accounts for 70%-80% of the total heat loss, and the total heat loss of the window accounts for 47% of the total heat loss. The article tries to reveal the influence of different types of window for the energy consumption of residential building in Chongqing. The simulation model is established by DesignBuilder, aiming to make a research about the effect of windows for intermittent heating energy, which is an existing residential building in Chongqing. The other building envelope parameters in Chongqing are showed as follows:. The result of simulating is showed as Table.. The energy consumption value is 11.59k kW·h, which is about 8.2% different from the measured energy consumption data.

Result
Effect of window on energy consumption of heating rooms in winter
Annual energy consumption and operating cost
Findings
Conclusion
Full Text
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