Choosing the Best Nature’s Strategy with the Highest Thermodynamic Potential for Application in Building Thermal Envelope Using MCA Analysis
Energy Procedia 2018
Ruta Vanaga, Andra Blumberga, Jūlija Gušča, Dagnija Blumberga

There is rapid growth in energy efficiency in the building sector oriented to zero energy or plus energy building concepts. Additionally building designs need to solve a complex task combining energy and environmental requirements, as well as social and economic performance requirements in one architectural object. Therefore when constructing new generation buildings, there is a necessity to seek for new strategies for inspiration. In this respect nature plays a core role for such inspiration. However, the process whereby one can integrate nature-inspired processes in building applications faces problems via the technical evaluation of such strategies. This research proposes a multi-criteria analysis methodology combining Analytical Hierarchy Process (AHP) and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) methods in order to select the best nature-inspired strategies for climate adaptive building shells. Based on the methodology, four nature strategies are analysed regarding seven thermodynamic criteria: heat loss in the thermal envelope, heat loss in air exchange, thermal inertia and solar heat gains, energy storage, energy production and changing surface characteristics. The proposed selection methodology allows architects and engineers to screen the most appropriate nature inspired strategy to be applied for energy efficiency in buildings taking into account a set of technical criteria.


Atslēgas vārdi
Climate Adaptive Building Shell, Biomimicry, MCA, AHP, TOPSIS
DOI
10.1016/j.egypro.2018.09.252
Hipersaite
https://www.sciencedirect.com/science/article/pii/S1876610218307975?via%3Dihub

Vanaga, R., Blumberga, A., Gušča, J., Blumberga, D. Choosing the Best Nature’s Strategy with the Highest Thermodynamic Potential for Application in Building Thermal Envelope Using MCA Analysis. Energy Procedia, 2018, Vol. 152, 450.-455.lpp. ISSN 1876-6102. Pieejams: doi:10.1016/j.egypro.2018.09.252

Publikācijas valoda
English (en)
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