Building Energy Performance Modelling and Simulation
- Performance-driven design of new and retrofitted buildings;
- Operational optimization of HVAC and energy systems;
- Integration with real-time data and the development of digital twins;
- Urban Building Energy Modelling (UBEM) to support city-level energy planning;
- Building-to-grid interaction for demand response and resilience.
- Retrofitting and Climate-Resilient Design
- Data-Driven Modelling and Machine Learning
- Advanced Thermal and Airflow Simulation
- Urban and Occupancy-Related Factors
- Conclusions and Perspectives
- the integration of physics-based and machine learning models into hybrid frameworks;
- increased emphasis on resilience to climate change, particularly in retrofitting existing and historic stock;
- the extension of simulation from individual buildings to urban contexts, incorporating morphology and microclimate;
- and the systematic inclusion of user behaviour and economic feasibility in performance assessments.
Funding
Acknowledgments
Conflicts of Interest
List of Contributions
- Ferdyn-Grygierek, J.; Grygierek, K. Towards Climate-Resilient Dwellings: A Comparative Analysis of Passive and Active Retrofit Solutions in Aging Central European Housing Stock. Energies 2025, 18, 4386. https://doi.org/10.3390/en18164386.
- Menconi, M.; Painting, N.; Piroozfar, P. Simulated Results of a Passive Energy Retrofit Approach for Traditional Listed Dwellings in the UK. Energies 2025, 18, 850. https://doi.org/10.3390/en18040850.
- Ciuman, P.; Kaczmarczyk, J.; Winnicka-Jasłowska, D. Investigation of Energy-Efficient Solutions for a Single-Family House Based on the 4E Idea in Poland. Energies 2025, 18, 449. https://doi.org/10.3390/en18020449.
- Nassif, A.; Dharmasena, P.; Nassif, N. Application of Machine Learning Techniques for Predicting Heating Coil Performance in Building Heating Ventilation and Air Conditioning Systems. Energies 2025, 18, 2314. https://doi.org/10.3390/en18092314.
- Tsikas, P.; Chassiakos, A.; Papadimitropoulos, V.; Papamanolis, A. BIM-Based Machine Learning Application for Parametric Assessment of Building Energy Performance. Energies 2025, 18, 201. https://doi.org/10.3390/en18010201.
- Urzędowski, A.; Sachajdak, A.; Syta, A.; Zaburko, J. CFD and Statistical Analysis of the Impact of Surface Physical Parameters on the Thermal Resistance of Layered Partitions in ETICS Systems. Energies 2025, 18, 107. https://doi.org/10.3390/en18010107.
- Hurnik, M.; Ciuman, P.; Popiolek, Z. Eddy–Viscosity Reynolds-Averaged Navier–Stokes Modeling of Air Distribution in a Sidewall Jet Supplied into a Room. Energies 2024, 17, 1261. https://doi.org/10.3390/en17051261.
- Sadłowska-Sałęga, A.; Wąs, K. Impact of Shading Effect from Nearby Buildings on Energy Demand and Load Calculations for Historic City Centres in Central Europe. Energies 2024, 17, 6400. https://doi.org/10.3390/en17246400.
- Nam, A.; Kim, Y.I. Prioritizing Energy Performance Improvement Factors for Senior Centers Based on Building Energy Simulation and Economic Feasibility. Energies 2024, 17, 5576. https://doi.org/10.3390/en17225576.
- Norouziasl, S.; Vosoughkhosravi, S.; Jafari, A.; Pang, Z. Assessing the Influence of Occupancy Factors on Energy Performance in US Small Office Buildings. Energies 2024, 17, 5277. https://doi.org/10.3390/en17215277.
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Ferdyn-Grygierek, J.; Grygierek, K.; Psikuta, A. Building Energy Performance Modelling and Simulation. Energies 2025, 18, 5295. https://doi.org/10.3390/en18195295
Ferdyn-Grygierek J, Grygierek K, Psikuta A. Building Energy Performance Modelling and Simulation. Energies. 2025; 18(19):5295. https://doi.org/10.3390/en18195295
Chicago/Turabian StyleFerdyn-Grygierek, Joanna, Krzysztof Grygierek, and Agnes Psikuta. 2025. "Building Energy Performance Modelling and Simulation" Energies 18, no. 19: 5295. https://doi.org/10.3390/en18195295
APA StyleFerdyn-Grygierek, J., Grygierek, K., & Psikuta, A. (2025). Building Energy Performance Modelling and Simulation. Energies, 18(19), 5295. https://doi.org/10.3390/en18195295