[HTML][HTML] Review of visualising LCA results in the design process of buildings
Abstract Life Cycle Assessment (LCA) is increasingly used for decision-making in the design
process of buildings and neighbourhoods. Therefore, visualisation of LCA results to support …
process of buildings and neighbourhoods. Therefore, visualisation of LCA results to support …
Advances in application of machine learning to life cycle assessment: a literature review
Abstract Purpose Life Cycle Assessment (LCA) is the process of systematically assessing
impacts when there is an interaction between the environment and human activity. Machine …
impacts when there is an interaction between the environment and human activity. Machine …
Methods to optimize carbon footprint of buildings in regenerative architectural design with the use of machine learning, convolutional neural network, and parametric …
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 stage. In the context of climate neutrality, it is important to introduce regenerative …
A real-time operational carbon emission prediction method for the early design stage of residential units based on a convolutional neural network: A case study in …
S Yan, Y Zhang, H Sun, A Wang - Journal of Building Engineering, 2023 - Elsevier
Buildings are currently responsible for 39% of global energy related carbon emissions.
Thus, carbon reduction in the construction industry is crucial to global climate issues. This …
Thus, carbon reduction in the construction industry is crucial to global climate issues. This …
Artificial Intelligence and Digital Tools for Assisting Low-Carbon Architectural Design: Merging the Use of Machine Learning, Large Language Models, and Building …
M Płoszaj-Mazurek, E Ryńska - Energies, 2024 - mdpi.com
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 …
consumer of non-renewable resources. Architectural design decisions play a critical role in a …
An Energy-Saving-Oriented Approach to Urban Design—Application in the Local Conditions of Poznań Metropolitan Area (Poland)
W Bonenberg, W Skórzewski, L Qi, Y Han, W Czekała… - Sustainability, 2023 - mdpi.com
This article discusses the impact of urban layout on the energy performance of residential
buildings. A comparative analysis of multiple variants of land development differing in …
buildings. A comparative analysis of multiple variants of land development differing in …
Application of machine learning techniques to predict patient's satisfaction of indoor environmental quality in Jordanian hospitals
The indoor environment is an integral part of the hospital design since it impacts patients'
health, well-being, and healing process. Although the machine learning approach has been …
health, well-being, and healing process. Although the machine learning approach has been …
Role of Machine Learning in Sustainable Manufacturing Practices: An Outline
R Kaur, R Kumar, H Aggarwal - International Conference on Intelligent …, 2023 - Springer
The present research examines the potential of machine learning (ML) to improve
sustainability and lessen harmful environmental effects across various industries. The paper …
sustainability and lessen harmful environmental effects across various industries. The paper …
Artificial intelligence and machine learning for low carbon architecture. Prototype carbon estimation tool development case study
M Płoszaj-Mazurek - Structures and Architecture A Viable Urban …, 2022 - taylorfrancis.com
The way in which buildings are designed plays a critical role in responding to the climate
emergency. It is estimated that Architecture, Engineering and Construction industry is …
emergency. It is estimated that Architecture, Engineering and Construction industry is …