Non Domestic
Data
SimStock is a new approach to building stock modelling, generating stocks made of individual building models. It can be used to interpret existing communities or predict impacts of interventions at the stock level.
Overview
The model takes advantage of developments in computing power and data availability to develop an epidemiological approach to modelling complex communities of buildings. The model has been successfully trialled in the London Borough of Camden.
Key findings
- SimStock can reproduce consumption patterns at a national or local scale to better understand the factors that influence consumption
- Stock owners could use the tool to assess the most appropriate improvements for their stock
- Government and decision-makers could use the model to quantify potential savings of different improvement pathways at a national level