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Elżbieta Ryńska

2 papers indexed

crossrefEnergies2024-06-18Cited by 59

Artificial Intelligence and Digital Tools for Assisting Low-Carbon Architectural Design: Merging the Use of Machine Learning, Large Language Models, and Building Information Modeling for Life Cycle Assessment Tool Development

Mateusz Płoszaj-Mazurek, Elżbieta Ryńska

The construction sector is a significant contributor to global carbon emissions and a major consumer of non-renewable resources. Architectural design decisions play a critical role in a building’s carbon footprint, making it essential to incorporate environmental analyses at vari…

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crossrefEnergies2020-10-12Cited by 99

Methods to Optimize Carbon Footprint of Buildings in Regenerative Architectural Design with the Use of Machine Learning, Convolutional Neural Network, and Parametric Design

Mateusz Płoszaj-Mazurek, Elżbieta Ryńska, Magdalena Grochulska-Salak

The analyzed research issue provides a model for Carbon Footprint estimation at an early design stage. In the context of climate neutrality, it is important to introduce regenerative design practices in the architect’s design process, especially in early design phases when the po…

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