Issue |
E3S Web of Conf.
Volume 469, 2023
The International Conference on Energy and Green Computing (ICEGC’2023)
|
|
---|---|---|
Article Number | 00047 | |
Number of page(s) | 9 | |
DOI | https://doi.org/10.1051/e3sconf/202346900047 | |
Published online | 20 December 2023 |
Early Environmental Design of Solar Collector with Consideration for Parameter Variability
Department of Mechanics and Integrated Engineering (M2I), Moulay Ismail University, ENSAM, BP 15290, Meknes, Morocco.
* Corresponding author: bouyarmanehouda@email.com
This article focuses on assessing the environmental impact during the early stages of design, emphasizing the minimization of negative consequences on the environment. We explore methods for integrating environmental constraints into the design process and underscore the importance of preliminary choices. Considering the variability of design parameters plays a fundamental role in ensuring reliable and stable outcomes. In-depth analysis of behavior models allows quantifying the influence of assumptions on prediction accuracy. Classifying these assumptions based on their level of practical verification sheds light on the reliability of expected results. The introduction of objective and subjective accuracy indicators enhances our ability to evaluate models and identify potential sources of uncertainty. Through the study of a concrete case, that of a Fresnel mirror solar concentration system, we demonstrate the relevance of our approach. The optimal and robust design of the collector support is explored using simulation and optimization tools. The obtained results demonstrate a significant improvement in the environmental indicator, confirming the effectiveness of our approach.
© The Authors, published by EDP Sciences, 2023
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.