Issue |
E3S Web Conf.
Volume 572, 2024
2024 The 7th International Conference on Renewable Energy and Environment Engineering (REEE 2024)
|
|
---|---|---|
Article Number | 02001 | |
Number of page(s) | 7 | |
Section | Renewable Energy Technologies and Carbon Capture | |
DOI | https://doi.org/10.1051/e3sconf/202457202001 | |
Published online | 27 September 2024 |
Power Systems Transition Using Biofuels, Carbon Capture and Synthetic Methane Storage
Riga Technical University, Institute of Industrial Electronics, Electrical Engineering and Energy, LV1058 Azenes str.12/1, Riga, Latvia
* Corresponding author: diana.zalostiba@rtu.lv
Energy storage solutions are essential for enabling the deployment of large-scale renewable energy sources to achieve a low-emission and climate-neutral future. This paper evaluates the adequacy of energy systems by examining the utilization of carbon capture, hydrogen, and synthetic methane production and storage in existing or new power plants that use biofuels (incl. biomass). The selected approach holds particular promise in Latvia due to the presence of numerous bioenergy plants, a large underground gas storage facility, and the ongoing and planned rapid development of solar and wind power plants. We use a power systems simulation model that includes sub-models of various energy sources and interconnections with Sweden, Finland, and Poland, considering NORDPOOL electricity market rules. The methodology used incorporates investment volume, electricity price forecasting, and renewable energy potential planning. The preliminary results demonstrate that Latvia’s natural gas infrastructure makes carbon capture and synthetic methane storage technically and economically feasible, with a 17.8% return on assets. The economic feasibility of a hybrid power plant in the Baltic power system warrants further detailed investigation.
Key words: stopping climate change / hydrogen / synthetic methane / energy storage / electricity market / carbon capture / renewables
© 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.