AZCEG is a computational model centering the affordability and energy generation of a settlement against its carbon emissions with the goal of optimising it to achieve carbon negativity. Using renewable energy types, the computational model hinges on analysis of patterns at micro and macro scales to determine areas of optimisation through a system of rules, which in turn feeds into an adaptive system whose feedback loop we aim to evolve continuously until it reaches peak operational efficiency.
A
Affordability
Affordability is at the crux of our thesis. Due to the cost of housing rising significantly (12% in the last year (Manchester evening news, year) and affecting many singles and families.
A
Accessibility
Accessibility is a key factor within our thesis as it provides a way to ensure that each residents that we are providing social and affordable housing to, has access to the key amenities that they need on site.
ZC
Zero Carbon
We aim to generate a zero carbon site using our tool. We also propose for our hybrid building typologies to be carbon negative to mitigate the excess emissions through more renewable and sustainable technologies.
EG
Energy
Energy is used to power most of society, its emissions are a large concern as it contributes significantly to the global CO2 emissions. We aim to tackle this by introducing renewable sources of energy as our primary focus on energy, integrating it into the development and finding ways to minimise energy loss.