Artificial Neural Networks to assess energy and environmental performance of buildings: An Italian case study
Abstract Approximately 40% of the European energy consumption and a large proportion of environmental impacts are related to the building sector. However, the selection of adequate and correct designs can provide considerable energy savings and reduce environmental impacts. To achieve this objective, a simultaneous energy and environmental assessment of a building's life cycle is necessary. To date, the resolution of this complex problem is entrusted to numerous software and calculation algorithms that are often complex to use. They involve long diagnosis phases and are characterised by the lack of a common language. Despite the efforts by the scientific community in the building sector, th…
Life Cycle Assessment of Luminescent Solar Concentrators Integrated into a Smart Window
Energies : open-access journal of related scientific research, technology development and studies in policy and management 16(4), 1869 (2023). doi:10.3390/en16041869