Effectiveness of passive design measures under future climate change for residential building in a humid subtropical region / Hafiz Muhammad Waseem

By: Waseem, Hafiz MuhammadContributor(s): Supervisor : Dr. Zaib AliMaterial type: TextTextIslamabad : SMME- NUST; 2022Description: 66p. Soft Copy 30cmSubject(s): MS Mechanical EngineeringDDC classification: 621 Online resources: Click here to access online
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Subtropical regions have suffered from the severe effects of climate change over the past few
decades. To counteract the rising ambient temperature, indoor cooling demands have also risen.
The high annual energy consumption of buildings is often offset by the adoption of passive cooling
strategies, which are adapted to preserve indoor comfort. Passive design measures (PDM) are
crucial in reducing buildings' annual energy consumption. Its continued efficacy in the face of
future climate change, however, depends critically on the careful selection of appropriate passive
design measures. This research simulates the effects of five passive design measures (front green
wall, ventilation 24 hours, window louvers, combination of window louvers and overhangs, and
C8 which is the combination of front green wall, night ventilation, and shading devices) for a house
in the subtropical city Islamabad. Energy simulations are computed for typical metrological/base
year as well as future weather files for 2050 and 2080. Results reveal that the combination of a
front green wall (FGW), shading, and night ventilation (C8) has the maximum capacity to reduce
the effect of future energy consumption. As the climatic conditions get more extreme in the future,
C8 gives more effective results. C8’s annual energy consumption results reduces by 25%, 27%,
and 30% when compared to non-passive results of TMY, 2050, and 2080 weather files
respectively. Whereas, the effect of ventilation decreases, as it provides a 5.8%, 3%, and 2.7%
decrease in annual mean energy consumption when compared with non-passive results of TMY,
2050, and 2080 results respectively. In the last section, the impact of different components of the
most optimum PDM combination was also analyzed. Optimum values of leaf area index, louvers
blade width & thickness & shading area all contributes to give overall better results.

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