Issue |
E3S Web Conf.
Volume 579, 2024
2024 11th International Conference on Civil and Urban Engineering (ICCUE 2024)
|
|
---|---|---|
Article Number | 02005 | |
Number of page(s) | 9 | |
Section | Preparation, Implementation and Performance of Innovative Building Materials | |
DOI | https://doi.org/10.1051/e3sconf/202457902005 | |
Published online | 18 October 2024 |
Evaluating the influence of convective heat transfer coefficient on the carbon footprint of a service building in Morocco
Thermal and Energy Research Team, National Higher School of Arts and Crafts, Mohammed V University, B.P.6207, Rabat, Morocco.
* Corresponding author: abdessamad.idouanaou@um5r.ac.ma
This study examines how the convective heat transfer coefficient impacts the carbon footprint of a service building situated in Morocco. This coefficient is pivotal in shaping the thermal efficiency of buildings, influencing energy consumption and environmental impact. Through simulations and analyses, we evaluate the extent to which variations in this coefficient affect overall energy efficiency and carbon emissions. Our analysis, based on specific climate data for Morocco and detailed architectural and operational parameters of a typical service building, reveals significant annual deviations. Heating energy fluctuates by up to ±48%, and cooling energy varies by up to ±32%. Furthermore, our findings demonstrate that the carbon footprint of electricity consumption for heating and cooling can vary by as much as ±31% of total CO2 emissions annually. Optimizing the convective heat transfer coefficient emerges as a critical strategy for reducing the carbon footprint, underscoring its importance in sustainable building design. These results offer valuable insights for architects, engineers, and policymakers seeking to enhance building performance and minimize environmental impact within the unique climate conditions of Morocco.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.