| 000 -LEADER |
|---|
| fixed length control field |
02509nam a22001577a 4500 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
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| Classification number |
621 |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Waseem, Hafiz Muhammad |
| 245 ## - TITLE STATEMENT |
|---|
| Title |
Effectiveness of passive design measures under future climate change for residential building in a humid subtropical region / |
| Statement of responsibility, etc. |
Hafiz Muhammad Waseem |
| 264 ## - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
|---|
| Place of production, publication, distribution, manufacture |
Islamabad : |
| Name of producer, publisher, distributor, manufacturer |
SMME- NUST; |
| Date of production, publication, distribution, manufacture, or copyright notice |
2022. |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
66p. |
| Other physical details |
Soft Copy |
| Dimensions |
30cm |
| 500 ## - GENERAL NOTE |
|---|
| General note |
Subtropical regions have suffered from the severe effects of climate change over the past few<br/>decades. To counteract the rising ambient temperature, indoor cooling demands have also risen.<br/>The high annual energy consumption of buildings is often offset by the adoption of passive cooling<br/>strategies, which are adapted to preserve indoor comfort. Passive design measures (PDM) are<br/>crucial in reducing buildings' annual energy consumption. Its continued efficacy in the face of<br/>future climate change, however, depends critically on the careful selection of appropriate passive<br/>design measures. This research simulates the effects of five passive design measures (front green<br/>wall, ventilation 24 hours, window louvers, combination of window louvers and overhangs, and<br/>C8 which is the combination of front green wall, night ventilation, and shading devices) for a house<br/>in the subtropical city Islamabad. Energy simulations are computed for typical metrological/base<br/>year as well as future weather files for 2050 and 2080. Results reveal that the combination of a<br/>front green wall (FGW), shading, and night ventilation (C8) has the maximum capacity to reduce<br/>the effect of future energy consumption. As the climatic conditions get more extreme in the future,<br/>C8 gives more effective results. C8’s annual energy consumption results reduces by 25%, 27%,<br/>and 30% when compared to non-passive results of TMY, 2050, and 2080 weather files<br/>respectively. Whereas, the effect of ventilation decreases, as it provides a 5.8%, 3%, and 2.7%<br/>decrease in annual mean energy consumption when compared with non-passive results of TMY,<br/>2050, and 2080 results respectively. In the last section, the impact of different components of the<br/>most optimum PDM combination was also analyzed. Optimum values of leaf area index, louvers<br/>blade width & thickness & shading area all contributes to give overall better results. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
MS Mechanical Engineering |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Supervisor : Dr. Zaib Ali |
| 856 ## - ELECTRONIC LOCATION AND ACCESS |
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| Uniform Resource Identifier |
<a href="http://10.250.8.41:8080/xmlui/handle/123456789/31751">http://10.250.8.41:8080/xmlui/handle/123456789/31751</a> |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
|
| Koha item type |
Thesis |
