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.
PO095: Enhancing Wind Resource Assessment and Multi-Objective Dispatch Optimization Through High-Quality Measurements in Coupled Energy Power Systems: A Case Study
Yovitza Lucia Romero Ramos, Project Engineer, ProfEC Ventus GmbH
Abstract
This research builds on a multi-objective dispatch optimization framework designed to enhance energy performance and reduce CO₂ emissions in a coupled energy power system (EPS). In the first scenario, the model uses open-source forecasted wind, temperature, and solar data as inputs. The second scenario advances the framework by integrating accurate and reliable data from a certified wind measurement system, allowing for a direct comparison of how input data quality impacts wind resource assessment, dispatch accuracy, and overall system performance. The methodology assesses the impact of sensor accuracy and data reliability information on dispatch decisions, system efficiency, financial costs, and emission reductions. Each dataset is then integrated into an Open Energy Modeling Framework (oemof) -based dispatch optimization model representing a hybrid system with wind and PV generation, storage, and grid interaction, where the thermal and electricity sector of the EPS is coupled. This research bridges the gap between theoretical optimization and practical implementation, enabling dynamic, data-driven decision-making that links sensor-level observations with system-level operational strategies. By incorporating high-fidelity measurements, the framework adapts to fluctuations in wind energy availability and system demand, improving both operational performance and sustainability outcomes. The results demonstrate that the accuracy of the data may impact the dispatch optimization, providing actionable and accurate insights for industrial-scale renewable energy integration and cost optimization. This work contributes a novel approach to wind energy assessment and energy system optimization, combining advanced modelling techniques with practical measurement considerations to support efficient and low-emission operations. This work contributes a novel methodology linking field-level measurement quality with system-level optimization, providing actionable insights for operational strategies in renewable energy integration. By emphasizing accuracy effects, it extends previous multi-objective optimization frameworks and offers a pathway for further research on data-driven energy system management.
No recording available for this poster.
