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Review and Critical Analysis of International UHI Studies

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At a City scale one study focuses on the Greater Toronto Area (GTA) in Canada [033]. This study<br />

simulates the potential <strong>of</strong> the heat isl<strong>and</strong> mitigation strategies (i.e. cool ro<strong>of</strong>s/pavements, shade<br />

trees, wind‐shielding <strong>and</strong> urban vegetation) to reduce cooling energy use in buildings in the GTA<br />

region. It accounts for both the direct <strong>and</strong> indirect effects. The study focuses on single family<br />

residential <strong>and</strong> <strong>of</strong>fices <strong>and</strong> retail stores. They model defined the variety <strong>of</strong> building types<br />

available (according to their characteristics); simulate annual cooling/heating energy use <strong>and</strong><br />

peak dem<strong>and</strong> using the DOE‐2 building simulation model thus determining the direct <strong>and</strong><br />

indirect energy <strong>and</strong> dem<strong>and</strong> savings for each heat isl<strong>and</strong> reduction strategy, finally they<br />

estimates the total ro<strong>of</strong> area <strong>of</strong> air‐conditioned buildings in the GTA, using existing data sources<br />

<strong>and</strong> thus were able to determine the metropolitan‐wide effects <strong>of</strong> heat isl<strong>and</strong> reduction strategies.<br />

The gas <strong>and</strong> electricity prices were used to provide a financial estimate as to the extent <strong>of</strong> savings.<br />

Potential annual savings for GTA were found to be $11m for the heat isl<strong>and</strong> strategies deployed<br />

(with residential sector accounting for 59% <strong>of</strong> the savings). It is important to note that the DOE‐2<br />

model has been addressed in both this paper <strong>and</strong> others to underestimate the cooling‐energy<br />

savings <strong>and</strong> potential <strong>of</strong> reflective ro<strong>of</strong>s (by as much as a factor <strong>of</strong> two); the method used to<br />

estimate the actual ro<strong>of</strong> area for commercial buildings was based on population <strong>and</strong> residential<br />

ro<strong>of</strong> area – thus further research in this area is required to generate more accurate results <strong>and</strong><br />

thus economic assessments. The findings indicate that the indirect savings potential appeared to<br />

be smaller than the total potential energy savings. Therefore the greatest economic benefits arise<br />

through mass implementation <strong>of</strong> cool ro<strong>of</strong>s <strong>and</strong> shade trees that make both direct <strong>and</strong> indirect<br />

savings over other indirect saving methods (e.g. cool pavements – only indirect). Moreover, the<br />

study also does not address the mass use <strong>of</strong> <strong>UHI</strong> mitigating technologies in other building types<br />

within the region (e.g. hospitals, schools, restaurants, etc) thus additional financial savings aren’t<br />

accounted for <strong>and</strong> may be underestimated [033].<br />

The State <strong>and</strong> National scale studies use a similar approach to arrive at the same conclusions,<br />

therefore the principle study that is used to provide the figure for the State <strong>and</strong> National scales is<br />

examined in closer detail [025, 027, 028, 112, 176]. This study example the energy <strong>and</strong> thus<br />

monetary savings resulting from the mass implementation <strong>of</strong> cool‐colored ro<strong>of</strong>s on residential<br />

<strong>and</strong> commercial buildings in the main US metropolitan areas. The analysis is based on<br />

simulations <strong>of</strong> building energy use ‐ using the DOE‐2 building energy simulation program. They<br />

specify the prototypical buildings, simulate each prototypes using two heating systems<br />

(gas/electricity); then they enter this data with the weather data in to the model <strong>and</strong> run the<br />

simulation for buildings with light <strong>and</strong> dark colored ro<strong>of</strong>s in a range <strong>of</strong> climates monitoring the<br />

simulation outputs (for energy use <strong>of</strong> the air‐conditioning <strong>and</strong> the heating systems). Economic<br />

estimates are then evaluated from the savings generated by changing from dark to cool‐colored<br />

ro<strong>of</strong>s. In order to obtain the National savings the Metropolitan Statistical Area results are then<br />

extrapolated to the entire US. Annual savings for the state <strong>of</strong> California were found to be $100m<br />

per year in 2005 [025, 112]. The studies highlight that the largest savings are in individual<br />

buildings in the hottest <strong>and</strong> sunniest climates. It is important to note that the DOE‐2 simulation<br />

results have been found to provide conservative estimates in comparison to field measurements.<br />

Furthermore, there is no reference in this or any other study with adapting the internal a/c system<br />

to the new cool‐ro<strong>of</strong>ing design – e.g. buildings cooling load is shown to decrease with the use <strong>of</strong> a<br />

cool ro<strong>of</strong> thus smaller units will suffice.<br />

<strong>Review</strong> <strong>and</strong> <strong>Critical</strong> <strong>Analysis</strong> <strong>of</strong> <strong>International</strong> <strong>UHI</strong> <strong>Studies</strong><br />

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