Akademik Veri Yönetim Sistemi
ENERGY CONVERSION AND MANAGEMENT-X, cilt.29, 2026 (ESCI, Scopus)
This study develops a robust modelling and optimization framework for a hybrid photovoltaic (PV) and wind energy systems through a comparative techno-economic and environmental analysis of Ankara, T & uuml;rkiye, and Fujairah, UAE, two climatically distinct regions with strong renewable energy potential. Utilizing a multi-tool approach integrating Python-based simulations, HOMER Pro analysis, and PVWatts benchmarking, the study evaluates energy generation, seasonal load matching, economic feasibility, and carbon mitigation. Key metrics, including levelized cost of electricity (LCOE), capacity factors, and system losses, were analysed to identify optimal system configurations under site-specific constraints. Fujairah demonstrated stronger renewable energy potential overall, with both higher solar irradiance and superior wind resources. It achieved approximately 8,902 MWh of annual solar energy (HOMER Pro) with LCOE values ranging from 0.085 to 0.12 USD/kWh. However, system design in Ankara strategically relied more heavily on wind energy due to its relatively lower solar resource, leading to a wind capacity factor of 47.8% and an annual wind energy production of 7,595.83 MWh (HOMER Pro), despite higher associated LCOE values (0.15 to 0.29 USD/kWh). Modelling comparisons revealed that Python-based outputs, 8,126.76 MWh for Ankara and 9,017.15 MWh for Fujairah, tended to overestimate energy production by not fully incorporating real-world derating factors, unlike HOMER Pro's more conservative estimates. Environmental analysis confirmed notable carbon mitigation benefits, with Fujairah achieving 7,729 metric tons of CO2 offset annually, slightly surpassing Ankara due to a higher grid emission factor. This work fills a critical gap in the literature by providing a high-resolution, cross-regional evaluation of hybrid renewable systems. It demonstrates the importance of localized design, real-world constraints, and multi-platform validation to guide efficient renewable energy deployment, providing a reproducible and scalable methodological framework for hybrid energy studies worldwide.