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Review and Critical Analysis of International UHI Studies

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These studies were founded primarily on numerical simulations (depending on the scaling they<br />

used different granularity <strong>of</strong> models that <strong>of</strong>ten made use <strong>of</strong> the DOE2/3 building energy analysis<br />

program) <strong>and</strong> not the outcomes <strong>of</strong> data collection from large scale implementation. It was found<br />

that temperature increases above a certain threshold would result in steady increase in peak<br />

urban electric dem<strong>and</strong>. For case specific city studies <strong>and</strong> hypothetical scale‐up scenarios (<strong>of</strong>ten in<br />

hot climates with collective countermeasure implementation) that energy consumption <strong>and</strong> peak<br />

power at the building, city <strong>and</strong> national scales can be decreased significantly both directly <strong>and</strong><br />

indirectly. It was also found that the primary energy saving technologies could generate greater<br />

energy savings than <strong>UHI</strong> countermeasures <strong>and</strong> also have the potential to contribute to the<br />

mitigation <strong>of</strong> <strong>UHI</strong>s. The studies that examined the CO2 reduction due to mass modification to<br />

existing cities with urban green areas, reflective ro<strong>of</strong>s <strong>and</strong> pavements demonstrated that<br />

significant reductions in CO2 levels were achievable. Results for energy use, peak power <strong>and</strong> CO2<br />

as a consequence <strong>of</strong> <strong>UHI</strong> mitigation measures were not easily transferable from one<br />

region/climate zone to another <strong>and</strong> in scaling up such estimates to a global scale it was evident<br />

that there is still significant research <strong>and</strong> refinement is required.<br />

4.2.3 Energy/Peak Power/CO2 Literature <strong>Review</strong><br />

There are twenty references which addressed the energy, peak power <strong>and</strong> CO2 emissions as<br />

defined above in the literature reviewed. Of these studies 65% emanate from the Lawrence<br />

Berkeley National Laboratory Urban Heat Isl<strong>and</strong> Group [021, 027, 028, 033, 034, 035, 059, 066, 070,<br />

079, 112, 142, 171] with a majority <strong>of</strong> studies focusing in North America <strong>and</strong> Japan but also<br />

Singapore.<br />

Of these nine studies addressed energy use [009, 015, 021, 022, 027, 033, 066, 079, 171,], thirteen<br />

studies address peak power [021, 028, 031, 033, 034, 039, 059, 066, 070, 079, 111, 112, 171] <strong>and</strong> four<br />

address the CO2 emissions [035, 041, 066, 142].<br />

Nine studies addressed energy use were predominantly based on numerical simulations <strong>and</strong><br />

were not results <strong>of</strong> large scale implementation <strong>and</strong> measurements [009, 015, 021, 022, 027, 033,<br />

066, 079, 171]. A selection <strong>of</strong> studies that help highlight the key conclusions are reviewed here. A<br />

study produced by LBNL on Canada examines the heat isl<strong>and</strong> effect <strong>of</strong> the implementing <strong>UHI</strong><br />

mitigation measures in mass in the form <strong>of</strong> shade trees strategically position such that they<br />

provide not just shading but also wind shielding <strong>and</strong> the use <strong>of</strong> cool ro<strong>of</strong>s across the Greater<br />

Toronto Area – the annual energy savings <strong>of</strong> the building sector are calculated using an hourly<br />

building energy simulation model. The results show that annual energy savings <strong>of</strong> over $11m can<br />

result from the mass implementation <strong>of</strong> <strong>UHI</strong> strategies across the Greater Toronto Area – the<br />

potential annual electricity savings are estimated to be in the region <strong>of</strong> 150GWh. It demonstrated<br />

that the combined use <strong>of</strong> reflective ro<strong>of</strong>s <strong>and</strong> strategic shade trees reduces the summer cooling<br />

energy use but also potentially incurs a penalty increase in the winter heating energy use,<br />

however the approach yields results that are highly sensitive to the prices <strong>of</strong> cooling <strong>and</strong> heating<br />

energy fuels (i.e. gas <strong>and</strong> electricity). It was evident that the research used to conduct this study<br />

was better suited for addressing the mass effects <strong>of</strong> shading as opposed to shading effects <strong>of</strong><br />

trees; the DOE‐2 model has been addressed in both this paper <strong>and</strong> others to underestimate the<br />

cooling‐energy 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<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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