Crowdsourcing Urban Air Temperature Data for Estimating Urban Heat Island and Building Heating/Cooling Load in London

Urban heat island (UHI) effects significantly impact building energy. Traditional UHI investigation methods are often incapable of providing the high spatial density observations required to distinguish small-scale temperature differences in UHI. Crowdsourcing offers a solution. Building cooling/heating load 2018 has been estimated London, UK, using crowdsourced data from over 1300 Netatmo personal weather stations. The local climate zone (LCZ) scheme was used classify different urban environments London (UK). Inter-LCZ found be generally consistent with LCZ definitions. Analysis cooling degree hours July shows 2 (the densest London) had highest demand, total 1550 hours. suburban related LCZs 5 and 6 rural B D all about 80% demand 2. In December, A, greatest heating recording around 5750 2, 91%, 86% 95% D, respectively. This study highlighted both advantages issues for energy research.