Report
Commercial Buildings Stock Model FY2020-21
In FY2019-20 the NEAR Program provided valuable inputs around the physical nature of the national commercial building stock to fill data gaps for the updated 2019-20 CBBS study. This activity aims to build upon this work in order to provide DISER’s Commercial Buildings policy team with aggregate energy data linked to building taxa to underpin the development of the subsequent Commercial Buildings Baseline Study. A major component is exploratory research in linking groups of properties with aggregated electricity usage data, in conjunction with the Australian Energy Market Operator (AEMO).
In this report we outline the data integration and findings, including: • Electricity usage for a range of building classes, including: o Office buildings o Shopping centres o Hotels and commercial accommodation o Data centres o Strata titled mixed-use properties o Education facilities • Analyses, data visualisations and interpretation • Data gaps and limitations The electricity consumption of groups of properties is presented according to dimensions including: • Floorspace, such as net lettable area (NLA), or gross lettable area (GLA) • Geographic extents, including climate zone and ABS Statistical Area 4 (SA4) • NABERS Energy Star rating • Planning zone approximation The rationale behind the groupings, such as the type of analyses that it may support, and any issues or limitations is discussed for each dataset.
- Report
CBBS Stock Model
CSIRO
Overview of work undertaken as part of NEAR to develop a building stock model to assist with the development of the Commercial Buildings Baseline Study.
