Posters
Come meet the poster presenters to ask them questions and discuss their work
We would like to invite you to come and see the posters at our upcoming conference. The posters will showcase a diverse range of research topics, and will give delegates an opportunity to engage with the authors and learn more about their work. Whether you are a seasoned researcher or simply curious about the latest developments in your field, we believe that the posters will offer something of interest to everyone. So please join us at the conference and take advantage of this opportunity to learn and engage with your peers in industry and the academic community.
PO072: Accurate typical meteorological year for optimal design of hybrid power plants
Marta Murkowska, Senior R&D Engineer, EMD International A/S
Abstract
Hybrid Power Plants (HPPs) combining wind turbines, batteries and photovoltaic (PV) , are increasingly important to meet the rising demand for renewable energy. These systems utilize land efficiently and maximize the benefits of a single grid connection point. A key challenge when designing HPPs is optimizing the size of each technology. Due to the temporal fluctuations and complementary nature of wind and solar resources, it is crucial to perform the optimization based on time series data. At the same time, calculations using long climatologically representative time series data, are prohibitively slow for robust optimization. To address the challenge of balancing computational efficiency with accurate resource representation, this study introduces a tailored Typical Meteorological Year (TMY) approach. TMY preserves the temporal correlation between the parameters used in evaluating HPPs’ Annual Energy Production (AEP): irradiance, temperature, wind speed and wind direction. The starting point of the methodology presented in this study is the ISO 15927-4:2005 standard, which outlines a method for creating TMYs for assessing annual energy use in heating and cooling. This is further refined by applying improved parameter weights and using the Earth Mover’s Distance (EMD) metric to select the most representative months. The performance of the TMY is evaluated based on Annual Energy Value (AEV) and compared to calculations with long time series of data. Considering AEV in the analysis is particularly important in the energy markets with volatile prices, which are increasingly influenced by the growing share of solar and wind energy production. TMYs created using the proposed method enable optimization of HPP design and constitute a valuable tool for efficient AEV analyses by HPPs developers and designers.
No recording available for this poster.
