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The building sector is material-intensive and is responsible for consuming large quantities of local and international resources. In extreme climates, the consumption of these resources increases manifold to ensure comfortable indoors. Contemporary buildings have predominantly used energy efficiency as the main criterion to define sustainability, which has led to the consumption of more abiotic materials. In contrast, indigenous buildings are based on local context and are guided by geographical, environmental, and economic constraints. This work aims to critically review indigenous architectural practices across four climatic zones, focusing on their resource efficiency, and identify practices that can be reintroduced in contemporary construction in extremely cold climates. To achieve this objective, literature from 1960 to 2022 was comprehensively reviewed. In addition, contemporary building construction and codes in cold climatic regions were analyzed to assess the current state of practices. Specific case studies from each climatic region were evaluated to assess applicability in residential buildings in cold climates. The main findings from this review and analysis indicate that indigenous practices have the potential to optimize the use of natural resources to create more sustainable climate-resilient buildings. In addition, more empirical studies are needed to tailor these practices and quantitatively assess resource efficiency for large-scale implementation. [ABSTRACT FROM AUTHOR]

Occupant behavior in residential buildings has a direct impact on the effectiveness of energy-saving measures. In order to realize a buildings' carbon mitigation targets, the impact of individual occupancy profiles needs to be integrated with building simulation models. This paper introduces a decision support framework as a potential solution to make energy performance upgrade choices based on different occupancy profiles. This framework has been demonstrated through a case study of two single-family detached homes in Canada, which were highly instrumented with sensors for monitoring energy input and output. The case studies represented two common occupancy profiles-(1) a family of four (consisting of 2 working adults and 2 teenagers); and (2) a retired couple. Firstly, calibrated energy models were developed by using one-year energy use data collected through an intrusive load monitoring technique. Secondly, energy upgrade combinations were considered for each profile and tested for additional investment, payback period and greenhouse gas (GHG) emissions. Lastly, the most suitable combination of energy upgrade for each profile was ranked using a multi-criteria decision-making method (e.g., TOPSIS). Results indicated that the retired couple used more energy than the family of four and required energy upgrades with usually higher payback periods to achieve the same level of GHG emission reduction. The results of this research are timely for energy policymaking and developing best management practices, which need to be implemented along with the deployment of more stringent building standards and codes. • A scenario-based framework was developed for residential homes energy upgrades. • It considers occupant behavior and preference in selecting energy upgrades. • Field data is used to represent energy use of a family of four and a stay-at-home retired couple. • Energy upgrades are same under pro-economic choices for two profiles. • Energy upgrades vary under pro-environmental scenarios for two profiles. [ABSTRACT FROM AUTHOR]