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dc.contributor.author Dareeju, BSSS
dc.contributor.author Meegahage, JN
dc.contributor.author Halwatura, RU
dc.date.accessioned 2016-10-13T05:23:45Z
dc.date.available 2016-10-13T05:23:45Z
dc.date.issued 2016-10-13
dc.identifier.uri http://dl.lib.mrt.ac.lk/handle/123/12078
dc.description.abstract In the past few decades, scientists are seeking to overcome issues; occurring due to global warming, which has reached into an alarming level. Global warming has led to many environmental issues including rising sea level and increasing indoor thermal discomfort. These sudden changes badly affect the occupants; living in the tropical climate condition which leads to enhance the heat discomfort in the buildings. As a result, researchers are forced to move towards the concept of sustainable building development for achieving better indoor thermal comfort. As a reason, the green roofs are accepted as a better alternative for overcoming impacts of global warming. However, the performance of the green roofs in a tropical climate is not addressed in Sri Lanka under the effects of global warming. This study emphasized on experimental approach of the green roof and its performance was measured by using small scale models. Using these results, large scale buildings were developed to simulate the performance of green roof under the effects of global warming. It was discovered that green roof provides an acceptable indoor thermal performance for global warming analysis than traditional roof types in Sri Lanka and green roof can be proposed as an ideal solution for achieving better indoor thermal comfort against the global warming effects. en_US
dc.language.iso en en_US
dc.subject Global warming en_US
dc.subject Tropical climate
dc.subject Green roofs
dc.subject Traditional roofs
dc.subject Indoor thermal performance
dc.title Performance of green roof against the global warming en_US
dc.type Article-Abstract en_US
dc.identifier.year 2011 en_US
dc.identifier.journal Transactions of the Institution of Engineers, Sri Lanka (IESL) en_US
dc.identifier.pgnos pp. 297 - 302 en_US


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