Modeling and design optimization of hybrid renewable energy parks

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Chinese explanation / 中文解读

中文解读待补充：本站会优先为光伏效率、钙钛矿太阳能电池、储能技术、太阳能热利用、BIPV、并网技术等高价值论文补充中文说明。

Original abstract

This thesis investigates the optimal design and performance assessment of hybrid renewable energy systems under diverse European climate conditions through a multiparametric optimisation framework. This framework is implemented on three representative climatic regions in Europe to capture the effects of variation in solar irradiance, wind potential and ambient temperature. This allows for a comparative evaluation under contrasting meteorological regimes. The methodological approach is based on detailed energy modelling and simulation, using meteorological datasets, to evaluate annual energy yield under stable investment capital, for both photovoltaic and wind technologies. A multi-objective optimisation process was used to identify optimal configurations that minimise cost and maximise annual energy production. The results demonstrate that the optimal renewable configuration is strongly dependent on local climatic characteristics. Solar-dominant regions, due to higher irradiation levels, favour larger photovoltaic deployment, whereas wind-rich regions achieve superior performance through increased wind capacity contribution. In transitional climates, hybrid systems provide enhanced stability and improved overall efficiency by utilising the complementary energy-generation patterns of these two technologies. Beyond the case study analysis, this thesis establishes a scalable modelling structure, capable of extending to high-resolution geospatial applications. The proposed framework can support the development of continent-wide renewable suitability mapping, based on meteorological data derived from satellites. This aims to identify the most appropriate renewable energy source for each geographic location, contributing to renewable energy planning and decarbonization policies. Overall, this research provides an analytical contribution to the field of renewable energy system optimisation, and it offers practical insights for sustainable energy planning, setting the foundation for future large-scale spatial optimisation studies.

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