Powering towards cleaner urban Energy: Integrating PV, reversible fuel cells, and batteries
Designing an efficient renewable energy system is critical for achieving cost-effective energy solutions and minimizing excess generation. This study analyzes the optimization of renewable energy systems with two storage configurations: PV solar with Li-ion Batteries (PV-LIB) and PV solar with a reversible fuel cell (PV-RFC). The system maximizes renewable energy integration by optimizing component sizes to meet the buildings load demand. Results indicate that the PV-LIB system requires a smaller PV array than the PV-RFC system due to the higher roundtrip efficiency of Li-ion batteries. The PV-RFC system achieved a renewable fraction of 95.43%, while the PV-LIB system reached 95.73%, with 0.068% excess energy in the PV-RFC system and none in the PV-LIB system. Monthly energy supply distribution analysis highlights the variability of PV generation and the consistent contribution of storage systems. Cost analysis reveals a levelized cost of hydrogen (LCOH) of $5.17/kg and a levelized cost of energy (LCOE) of $0.166/kWh for the PV-RFC system, compared to an LCOE of $0.071/kWh for the PV-LIB system. The PV-LIB system is more economically viable due to lower capital costs and higher efficiency. Both systems demonstrated lower LCOE compared to local grid electricity tariffs, emphasizing their economic advantage.
Authors
- Assia Chadly (ORCID: https://orcid.org/0009-0008-4273-4367)
- Rahul Rajeevkumar Urs (ORCID: https://orcid.org/0000-0001-5484-0919)
- Osama Mussawar
- Ahmad Mayyas (ORCID: https://orcid.org/0000-0002-0367-6503)
- Max Wei (ORCID: https://orcid.org/0000-0001-7989-3881)
Institutions
- Lawrence Berkeley National Laboratory (US)
- Khalifa University of Science and Technology (AE)
Publication Details
- Journal
- Renewable Energy
- Published
- 2025-06-06
- DOI
- https://doi.org/10.1016/j.renene.2025.123662
- Citations
- 4
- Primary Topic
- Hybrid Renewable Energy Systems
- Type
- article
- Field-Weighted Citation Impact
- 2.13
Funders
- Khalifa University of Science, Technology and Research