The aims of the research are:

1. to characterize building types and their operation according to IPCC energy use and greenhouse gas emission scenarios
2. to select future weather from climate models from the IPCC latest report
3. to develop a new weather 'morphing' technique
4. to develop a radically new space allocation generative design algorithm to produce alternative buildings
5. to develop a novel ensemble neural network as a surrogate method to dynamic simulation
6. to develop a new statistical model that quantifies the uncertainties associated with climate predictions and building operation
7. to generate future weather and buildings datasets using the developed algorithms
8. to analyze the datasets using the developed statistical model
9. to realize new building guidelines from the analysis results of the dataset