Issue |
E3S Web Conf.
Volume 545, 2024
2024 9th International Conference on Sustainable and Renewable Energy Engineering (ICSREE 2024)
|
|
---|---|---|
Article Number | 02004 | |
Number of page(s) | 10 | |
Section | Solar Photovoltaic Technology and Building Integrated Photovoltaics | |
DOI | https://doi.org/10.1051/e3sconf/202454502004 | |
Published online | 04 July 2024 |
Exergy-Based analysis of CO2e reduction by campus solar energy installation for sustainability improvement
Ostim Technical University, OSTİM 06374 Ankara, Turkiye
* Corresponding author: hikmet.bal@ostimteknik.edu.tr
Sustainability studies aiming to reduce CO2e emissions is increasing gradually. Generally energy-based approaches is being used in these studies. In this paper, the carbon footprint calculations of energy-consuming systems in the OSTIM Technical University building is examined, focusing on the use of solar energy for emission reduction. An Exergy-based approach, generally ignored in CO2e calculations, is adopted. The carbon emissions calculation is carried out according to the ISO14064 by monitoring the University’s energy consumption. In order to reduce CO2e, use of solar energy PV panels for the University building is evaluated. Calculations showed that intended PV panels could meet 16% of the annual electricity demand, leading to an 18% reduction in CO2e emissions compared to grid reliance. For Exergy analysis, general electricity generation sources (fossil fuel, renewable, etc.) are considered in obtaining the CO2e caused by using grid electricity. It is concluded that using electricity generated from PV panels instead of grid electricity resulted in less exergy destruction and approximately 61% low in carbon emissions. The planned PV panel installation’s payback period calculated as 5.1 years. The obtained results suggest that calculating CO2e emissions using the Exergy method provides a more realistic view, due to not only considering consumption but also taking into account energy generation, transmission, and distribution lines.
© 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.