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Optimising Embodied Energy and Thermal Performance of Thermal Insulation in Building Envelopes Via an Automated Building Information Modelling (BIM) Tool
Chen, Z.; Hammad, A.W.A.; Kamardeen, I.; Akbarnezhad, A. Optimising Embodied Energy and Thermal Performance of Thermal Insulation in Building Envelopes via an Automated Building Information Modelling (BIM) Tool. Buildings2020, 10, 218.
Chen, Z.; Hammad, A.W.A.; Kamardeen, I.; Akbarnezhad, A. Optimising Embodied Energy and Thermal Performance of Thermal Insulation in Building Envelopes via an Automated Building Information Modelling (BIM) Tool. Buildings 2020, 10, 218.
Chen, Z.; Hammad, A.W.A.; Kamardeen, I.; Akbarnezhad, A. Optimising Embodied Energy and Thermal Performance of Thermal Insulation in Building Envelopes via an Automated Building Information Modelling (BIM) Tool. Buildings2020, 10, 218.
Chen, Z.; Hammad, A.W.A.; Kamardeen, I.; Akbarnezhad, A. Optimising Embodied Energy and Thermal Performance of Thermal Insulation in Building Envelopes via an Automated Building Information Modelling (BIM) Tool. Buildings 2020, 10, 218.
Abstract
Insulation systems for the floor, roof and external walls play a prominent role in providing a thermal barrier for the building envelope. Design decisions made for the insulation material type and thickness can alleviate potential impacts on the embodied energy and improve the building thermal performance. This design problem is often addressed using a BIM-integrated optimisation approach. However, one major weakness lies in the current studies is that BIM is merely used as the source for design parameters input. This study proposes a BIM-based envelope insulation optimisation design framework using a common software Revit to find the trade-off between the total embodied energy of the insulation system and the thermal performance of the envelope by considering the material type and thickness. In addition, the framework also permits data visualisation in a BIM environment, and subsequent material library mapping together with instantiating the optimal insulation designs. The framework is tested on a case study based in Sydney, Australia. By analysing sample designs from the Pareto front, it is found that slight improvement in the thermal performance (1.3399 to 1.2112 GJ/m2) would cause the embodied energy to increase by more than 50 times.
Keywords
BIM; Insulation Design; Building Envelope; Multi-objective; Optimisation; Pareto-front
Subject
Engineering, Automotive Engineering
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
