Self-Organised Approach to Designing Building Thermal Insulation

Purvesh Bharadwaj and Ljubomir Jankovic
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Purvesh Bharadwaj: Zero Carbon Lab, School of Creative Arts, University of Hertfordshire, Hatfield AL10 9AB, UK
Ljubomir Jankovic: Zero Carbon Lab, School of Creative Arts, University of Hertfordshire, Hatfield AL10 9AB, UK

Sustainability, 2020, vol. 12, issue 14, 1-14

Abstract: Traditionally, the uniform application of thermal insulation is practised within the built environment sector to achieve desired building regulation standards for energy efficiency. However, that approach does not follow the building heat loss field, and it is therefore poorly matched to the actual heat loss from the building, thus achieving sub-optimum energy performance. This research aims to visualise building heat loss field in three dimensions and to create self-organised thermal insulation patterns that are proportional in thickness to the intensity of heat loss. This is achieved using a 3D agent-based model, in which each agent that represents a miniature object of thermal insulation moves up the gradient of the heat loss representation and competes for its position with the neighbouring thermal insulation components, depending upon the gradient intensity. This creates a self-organised thermal insulation pattern through the competition between the thermal insulation components and through overcrowding in the areas with higher heat loss intensity. This helps to visualise the heat loss field and create a representation of thermal insulation that is ideally matched to it. The result is assessed for its energy performance using a conventional energy performance analysis. That analysis shows that this approach leads to reductions in energy consumption and carbon emissions in comparison with the conventional approach that uses the same amount of thermal insulation material. The overall result increases our understanding of 3D heat loss and introduces a new approach for designing building thermal insulation.

Keywords: thermal insulation agents; heat loss visualisation; emergence-based design; self-organised insulation; heat-loss-matched thermal insulation; emergent design solutions; emergent behaviour (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2020
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