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- W4220945543 abstract "<p>Medium- and long-term energy planning at regional scale requires, among others, the estimate of the future energy demand driven by expected&#160; heating and cooling needs of buildings, according to the local impact of changing climate. To support the development of the 2021-2030 Energy Plan of the Province of Trento in the Alps, temperature projections provided by EURO-CORDEX Regional Climate Models (RCMs) were downscaled at 11 weather stations, representative of altitudes between 0 and 700 m a.m.s.l., to estimate the future values of a set of parameters that are commonly used to model the energy demand of buildings, such as: Heating and Cooling Degree Days (HDDs and CDDs), Test Reference Years (TRYs) and Extreme Reference Years (ERYs). A dataset of temperature and solar radiation hourly measurements, taken at the stations starting from 1983, was quality-controlled and analyzed to estimate statistics and observed trends for both variables, as well as degree days, reference years and climate change indices from the ETCCDI set. A hybrid downscaling approach (combining statistical and dynamical techniques) is then applied to temperature projections, based on the application of the <em>morphing method</em>&#160;to&#160;the results of&#160;an ensemble of&#160;16 RCMs, allowing the estimate of&#160;future TRYs, ERYs&#160;and degree days&#160;in 2030 and 2050&#160;at the selected sites&#160;(notice that&#160;no significant variation associated with climate change&#160;was&#160;assumed for solar radiation).&#160;According to historical observations&#160;(1983-2019), the warming tendency for monthly mean temperatures is clear and falls&#160;around&#160;0.06&#160;&#176;C&#160;year<sup>-1</sup>, slightly higher than reported at national level. The increase is more pronounced in spring and summer than in autumn and winter, with minima in December and especially May.&#160;No significant trend is observed&#160;for solar radiation trends.&#160;As for HDDs, stations at different altitudes show comparable reductions, of around&#160;-10 HDDs&#160;year<sup>-1</sup>,&#160;with an apparent tendency to accelerate in the most recent years.&#160;The increase of CDDs can be quantified in less than&#160;5 CDDs&#160;year<sup>-1</sup>.&#160;The ensemble of temperature projections estimate temperature increases of 0.5 &#176;C between 2016 and 2030 and 1.3 &#176;C between 2016 and 2050 on average (0.03-0.04&#160;&#176;C&#160;year<sup>-1</sup>),&#160;implying further future reductions of HDDs (between -4 and -11% at 2030, between -10 and -21% at 2050) and increases of CDDs (between 12 and 36% at 2030, between 36 and 87% at 2050). Such changes will&#160;correspond&#160;to major modifications in the&#160;seasonal profile&#160;of&#160;the&#160;energy&#160;demand associated with the winter heating and summer cooling of buildings in the Alpine area.</p>" @default.
- W4220945543 created "2022-04-03" @default.
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- W4220945543 date "2022-03-28" @default.
- W4220945543 modified "2023-09-24" @default.
- W4220945543 title "Local downscaling of temperature projections for energy planning purposes in an Alpine area" @default.
- W4220945543 doi "https://doi.org/10.5194/egusphere-egu22-11372" @default.
- W4220945543 hasPublicationYear "2022" @default.
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