New district heating systems in Toronto have the potential for significant financial and environmental gains. Through the use of Geographical Information Systems (GIS) and the data required to estimate heating loads, heat maps were generated on a building-by-building basis for over 4400 buildings at nine different intersections in Toronto. School locations and planned construction maps were used to enhance the data and demonstrate the benefit of considering factors beyond finance and the environment. Out of the intersections studied, Yonge and Eglinton; Yonge and Sheppard; and Yonge and Empress held the largest heating loads. Individual building data allowed for plant locations to be suggested based on their proportional distance to the highest loads. GIS allowed for the visualization of the vast quantity of data. The opportunities for improvement include increasing the availability of location-based data and the application of the methodology to other areas of infrastructure planning and decision making.
| Identifer | oai:union.ndltd.org:LACETR/oai:collectionscanada.gc.ca:OTU.1807/35639 |
| Date | 15 July 2013 |
| Creators | Lu, Yan |
| Contributors | Karney, Bryan William |
| Source Sets | Library and Archives Canada ETDs Repository / Centre d'archives des thèses électroniques de Bibliothèque et Archives Canada |
| Language | en_ca |
| Detected Language | English |
| Type | Thesis |
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