Outputs (2)

Modelling Urban Housing Stocks for Building Energy Simulation using CityGML EnergyADE (2019)
Journal Article
Rosser, J. F., Long, G., Zakhary, S., Boyd, D. S., Mao, Y., & Robinson, D. (2019). Modelling Urban Housing Stocks for Building Energy Simulation using CityGML EnergyADE. ISPRS International Journal of Geo-Information, 8(4), Article 163. https://doi.org/10.3390/ijgi8040163

Understanding the energy demand of a city’s housing stock is an important focus for local and national administrations to identify strategies for reducing carbon emissions. Building energy simulation offers a promising approach to understand energy u... Read More about Modelling Urban Housing Stocks for Building Energy Simulation using CityGML EnergyADE.

Predicting residential building age from map data (2018)
Journal Article
Rosser, J., Boyd, D., Long, G., Zakhary, S., Mao, Y., & Robinson, D. (2019). Predicting residential building age from map data. Computers, Environment and Urban Systems, 73, 56-67. https://doi.org/10.1016/j.compenvurbsys.2018.08.004

The age of a building influences its form and fabric composition and this in turn is critical to inferring its energy performance. However, often this data is unknown. In this paper, we present a methodology to automatically identify the construction... Read More about Predicting residential building age from map data.