Design Phase Carbon Emission Prediction Using A Visual Programming Technique
The rise in construction sector development is also leading to elevated levels of global carbon density, which is affecting the humanoid population in a negative way. Considering this phenomenon into consideration, it is now globally agreed that the construction sector is contributing to a significa...
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Institute of Electrical and Electronics Engineers Inc.
2020
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my.utp.eprints.297702022-03-25T02:49:34Z Design Phase Carbon Emission Prediction Using A Visual Programming Technique Saad, S. Alaloul, W.S. Ammad, S. Qureshi, A.H. Altaf, M. Rasheed, K. The rise in construction sector development is also leading to elevated levels of global carbon density, which is affecting the humanoid population in a negative way. Considering this phenomenon into consideration, it is now globally agreed that the construction sector is contributing to a significant portion of carbon emissions. The high concentrations of carbon emitted during the construction project lifecycle have also been linked to several human diseases and ozone layer perforations. Among all the different kinds of carbon emissions, the embodied carbon is the one that can be measured under controlled conditions. However, although in regards to the harmful consequences of the carbon emissions, the tools for calculating these emissions in the building industry are insufficient. This study thus tends to develop a conceptual staged embodied carbon measurement tool which can be used for the calculation of embodied carbon at the construction project design stage. © 2020 IEEE. Institute of Electrical and Electronics Engineers Inc. 2020 Conference or Workshop Item NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-85100720977&doi=10.1109%2fIEEECONF51154.2020.9319978&partnerID=40&md5=8177305cde52449121ccac31029cc8b6 Saad, S. and Alaloul, W.S. and Ammad, S. and Qureshi, A.H. and Altaf, M. and Rasheed, K. (2020) Design Phase Carbon Emission Prediction Using A Visual Programming Technique. In: UNSPECIFIED. http://eprints.utp.edu.my/29770/ |
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The rise in construction sector development is also leading to elevated levels of global carbon density, which is affecting the humanoid population in a negative way. Considering this phenomenon into consideration, it is now globally agreed that the construction sector is contributing to a significant portion of carbon emissions. The high concentrations of carbon emitted during the construction project lifecycle have also been linked to several human diseases and ozone layer perforations. Among all the different kinds of carbon emissions, the embodied carbon is the one that can be measured under controlled conditions. However, although in regards to the harmful consequences of the carbon emissions, the tools for calculating these emissions in the building industry are insufficient. This study thus tends to develop a conceptual staged embodied carbon measurement tool which can be used for the calculation of embodied carbon at the construction project design stage. © 2020 IEEE. |
format |
Conference or Workshop Item |
author |
Saad, S. Alaloul, W.S. Ammad, S. Qureshi, A.H. Altaf, M. Rasheed, K. |
spellingShingle |
Saad, S. Alaloul, W.S. Ammad, S. Qureshi, A.H. Altaf, M. Rasheed, K. Design Phase Carbon Emission Prediction Using A Visual Programming Technique |
author_facet |
Saad, S. Alaloul, W.S. Ammad, S. Qureshi, A.H. Altaf, M. Rasheed, K. |
author_sort |
Saad, S. |
title |
Design Phase Carbon Emission Prediction Using A Visual Programming Technique |
title_short |
Design Phase Carbon Emission Prediction Using A Visual Programming Technique |
title_full |
Design Phase Carbon Emission Prediction Using A Visual Programming Technique |
title_fullStr |
Design Phase Carbon Emission Prediction Using A Visual Programming Technique |
title_full_unstemmed |
Design Phase Carbon Emission Prediction Using A Visual Programming Technique |
title_sort |
design phase carbon emission prediction using a visual programming technique |
publisher |
Institute of Electrical and Electronics Engineers Inc. |
publishDate |
2020 |
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https://www.scopus.com/inward/record.uri?eid=2-s2.0-85100720977&doi=10.1109%2fIEEECONF51154.2020.9319978&partnerID=40&md5=8177305cde52449121ccac31029cc8b6 http://eprints.utp.edu.my/29770/ |
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