For more than eight decades, CSIRO has tracked and analyzed how Australian homes consume and lose energy, and used that knowledge to drive building standards, policy, and design toward efficiency, tells this article from CSIRO website.
It began in 1944, when simple models predicted indoor temperatures for a single room. Over the years, these evolved into whole-house simulations. By 1998, CSIRO bundled all insights into the “Chenath Engine,” the core of the national energy rating and compliance framework for homes.
Today, almost 90% of new Australian homes, representing roughly A$50 billion annually in construction, rely on CSIRO’s modeling tools. These tools, now vastly more powerful, thanks to advances in computing, big data, and AI, have helped deliver about A$1.72 billion in net benefits, roughly A$69 saved per A$1 invested.
The enduring value of this long-term research stems from its blending of building physics with social and environmental shifts. Models once built around assumptions, such as peak kitchen usage between 4 and 6 pm, must be regularly updated as lifestyles, material choices, and climate conditions change.
More recently, CSIRO has expanded its work beyond pure heat-flow simulations. It now integrates data science, social research, and housing performance metrics to create more complete models. These are used not only for designing new homes but also for retrofits and evaluating energy performance at scale, for example, across mortgage portfolios.
Given that residential buildings still account for about 24% of national electricity use and over 10% of total carbon emissions, improving energy performance is crucial. By making home energy efficiency visible, measurable, and actionable, CSIRO continues to steer housing design toward sustainability, comfort, and reduced emissions.