Cross-sector energy systems co-simulation framework design
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This study focuses on developing a simulation framework to analyse local cross-sector energy balancing strategies, addressing the challenges of renewable energy integration. The framework integrates tools for managing electricity, heating, cooling, and EV charging, aiming to reduce energy consumption and volatility with minimal impact on user comfort. Novel cross-sector energy management strategies are evaluated, emphasizing renewable energy communities and interconnected systems. The research involves software integration, stochastic modelling, and performance evaluation, providing insights into optimizing energy systems for sustainability. The enabled studies will highlight the potential of cross-sector integration to enhance energy efficiency and flexibility, supporting the transition to 100% renewable energy sources.
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Forkaliuk M. S., Bisikalo O. V. Cross-sector energy systems co-simulation framework design // Матеріали LIV Всеукраїнської науково-технічної конференції підрозділів ВНТУ, Вінниця, 24-27 березня 2025 р. Електрон. текст. дані. 2025. URI: https://conferences.vntu.edu.ua/index.php/all-fksa/all-fksa-2025/paper/view/23036.
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Список використаної літератури (8)
- European Parliament, Council of the European Union. DIRECTIVE (EU) 2018/2001 – RED II . No. L 328/82. Official Journal of the European Union, 2018. URL: http://data.europa.eu/eli/dir/2018/2001/oj.
- Franzl Gerald. renewable multi-energy community sketch. 2024. URL: http://dx.doi.org/10.13140/ RG.2.2.20796.04486 (online; accessed: 2025-01-11).
- Li Ruonan, Mahalec Vladimir. Greenhouse gas emissions reduction by cross-sector integration of energy systems: Optimal sizing of integrated entities // Energy Conversion and Management. 2021. Vol. 248. P. 114788. URL: https://www.sciencedirect.com/science/article/pii/S019689042100964X
- Smart grids: the forgotten key to decarbonization / Deven Chhaya, Nicolas Leonetti, Ciar ´an Rabbitt, Sophie Shen // KPMG – Plugged In – Power and utilities magazine. 2024. no. 3. P. 15–21. URL: https://kpmg.com/us/en/articles/2024/smart-grids.html (online; accessed:2024-09-28).
- Pandapower — An Open-Source Python Tool for Convenient Modeling, Analysis, and Optimization of Electric Power Systems / L. Thurner, A. Scheidler, F. Schäfer et al. // IEEE Transactions on Power Systems. 2018. Nov. Vol. 33, no. 6. P. 6510–6521.
- AixLib: an open-source Modelica library for compound building energy systems from component to district level with automated quality management / Laura Maier, David Jansen, Fabian Wüllhorst et al. // Jour- nal of Building Performance Simulation. 2023. Vol. 0, no. 0. P. 1–24. https://doi.org/10.1080/ 19401493.2023.2250521.
- The OpenModelica Integrated Environment for Modeling, Simulation, and Model-Based Development / Peter Fritzson, Adrian Pop, Karim Abdelhak et al. // Modeling, Identification and Control. 2020. Vol. 41, no. 4. P. 241–295.
- Forkaliuk Maria, Franzl Gerald, Bisikalo Oleg. Evaluating fast charging of electric vehicles along mo- torways using finite multi-server queueing system simulation // Information Technologies and Computer En- gineering. 2024. Vol. 21, no. 2. P. 77–90. URL: https://itce.com.ua/web/uploads/pdf/ IT_2024_2_7.pdf (online; accessed: 2024-11-11).