Abstract
Accountable for more than 70% of the worldwide CO2 emissions (World Energy Outlook Internatioal Energy
Agency 2008) and constantly growing, urban metropolises are the key actors of climate change. A rapid transition of urban
areas towards energy efficiency is highly required, in particular for the building stock, which represents the main urban
energy consumer. In this context, city municipalities, energy suppliers, housing companies and private owners must be
mobilized and bonded around a common low-carbon urban energy strategy.
GIS simulation offers a first step into the development of this long-term strategy. It has long been applied to demographics,
social and economic indicators, housing density, property costs, infrastructure, transport and water consumption. In regard
to building energy modelling, it has the potential to move from a basic overview calculation down to a precise diagnosis of
consumption; its causes, function, location, and time of use. Furthermore, it can allow for prediction of operational energy
and carbon emission savings through identifying retrofitting upgrades and refurbishment priorities.
This study demonstrates the potential and implications of an energy modelling framework for Australian cities. A case study
of a city’s CBD region that encompasses 665 buildings is modelled in 2D and 3D, comparing residential, commercial and
industrial development energy prediction. Several strategies are proposed and investigated towards developing a better
understanding and mapping of the energy use at a regional scale, suggesting retrofitting potential, energy targets and
infrastructure capabilities.
Agency 2008) and constantly growing, urban metropolises are the key actors of climate change. A rapid transition of urban
areas towards energy efficiency is highly required, in particular for the building stock, which represents the main urban
energy consumer. In this context, city municipalities, energy suppliers, housing companies and private owners must be
mobilized and bonded around a common low-carbon urban energy strategy.
GIS simulation offers a first step into the development of this long-term strategy. It has long been applied to demographics,
social and economic indicators, housing density, property costs, infrastructure, transport and water consumption. In regard
to building energy modelling, it has the potential to move from a basic overview calculation down to a precise diagnosis of
consumption; its causes, function, location, and time of use. Furthermore, it can allow for prediction of operational energy
and carbon emission savings through identifying retrofitting upgrades and refurbishment priorities.
This study demonstrates the potential and implications of an energy modelling framework for Australian cities. A case study
of a city’s CBD region that encompasses 665 buildings is modelled in 2D and 3D, comparing residential, commercial and
industrial development energy prediction. Several strategies are proposed and investigated towards developing a better
understanding and mapping of the energy use at a regional scale, suggesting retrofitting potential, energy targets and
infrastructure capabilities.
| Original language | English |
|---|---|
| Title of host publication | Engaging Architectural Science: Meeting the Challenges of Higher Density |
| Subtitle of host publication | 52nd International Conference of the Architectural Science Association 2018 |
| Editors | Priyadarsini Rajagopalan, Mary Myla Andamon |
| Place of Publication | Melbourne, Australia |
| Publisher | RMIT Publishing |
| Pages | 525-533 |
| Number of pages | 8 |
| ISBN (Electronic) | 9780992383558 |
| Publication status | Published - 28 Nov 2018 |
Keywords
- energy prediction
- GIS modelling
- city energy
