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Tsang_Evaluating Energy Savings Retrofits for Residential Buildings in China.pdf (1.57 MB)

Evaluating energy savings retrofits for residential buildings in China

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conference contribution
posted on 2018-09-07, 12:19 authored by Christopher Tsang, Eftychia SpentzouEftychia Spentzou, Miaomiao He, Kevin LomasKevin Lomas
Building retrofit plays an important role in reducing energy consumption and carbon dioxide emissions whilst increasing occupant thermal comfort. This study used DesignBuilder to predict the energy saved by retrofitting a typical flat in Chongqing, a city in the hot summer, cold winter region of China. To increase the reliability of predictions, the model was verified by measured indoor air temperature for a one-week period in April. Five retrofit measures were evaluated, external wall insulation, new windows, increased air tightness, external shading, and higher efficiency of air conditioning. Three types of households with different AC operating schedule were assumed, high, medium and low. The variance in the model predictions due to the uncertainty in the model input parameters was calculated. The results showed that the energy saved depended on the use that was made of the AC system. For high energy users, 40 to 68% of the annual space-conditioning energy could be saved depending on the retrofit, whereas for low energy users the savings were 30 to 58%. Thermal comfort has improved in winter for low and medium energy users, but no improvement in summer.

Funding

This research was supported by the UK Engineering and Physical sciences Research Council (EPSRC EP/N009797/1) for the collaborative China-UK project Low carbon climate responsive Heating and Cooling of cities (LoHCool)

History

School

  • Architecture, Building and Civil Engineering

Published in

Proceedings of the 4th IBPSA-England Conference on Building Simulation and Optimization

Pages

284 - 291

Citation

TSANG, C. ... et al., 2018. Evaluating energy savings retrofits for residential buildings in China. Presented at Building Simulation and Optimization 2018, 4th England IBPSA conference, Cambridge, UK, 11-12th Sept.

Publisher

IBPSA

Version

  • NA (Not Applicable or Unknown)

Publisher statement

This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/

Acceptance date

2018-08-17

Publication date

2018

Notes

This is a conference paper.

Language

  • en

Location

Cambridge, UK

Event dates

11th September 2018 - 12th September 2018

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