Designing an Optimal Urban Community Mix for an Aquifer Thermal Energy Storage System

This research examined what mix of building types result in the most efficient use of a technology known as Aquifer Thermal Energy Storage (ATES). Hourly energy simulation models for six different building archetypes were created based on representative building characteristic and energy use data fr...

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Bibliographic Details
Main Author Zizzo, Ryan
Format Dissertation
LanguageEnglish
Subjects
0543
0775
0791
Aquifer
Community Mix Optimization
Energy Simulation
Thermal Energy Storage
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Summary:This research examined what mix of building types result in the most efficient use of a technology known as Aquifer Thermal Energy Storage (ATES). Hourly energy simulation models for six different building archetypes were created based on representative building characteristic and energy use data from the Toronto area. A genetic algorithm optimization tool was then created to vary scheduling and production properties of the ATES system and the relative number of different building archetypes. The tool found that a cooling season from weeks 16‐42 maximized the useful energy output of the ATES and resulted in roughly 30% reduction in heating and cooling energy use and associated GHG emissions. It was also found that creating a mix consisting of a higher percentage of larger buildings than is currently found in most neighbourhoods could reduce energy usage by an additional 10%.