Resilient Cooling-Case Study of a Residential Building in Ry (Denmark)
Authors
Kopanyi, Attila ; Poczobutt, Karolina ; Pallagi, Lajos Adam
Term
4. Term
Education
Publication year
2020
Submitted on
2020-01-10
Pages
108
Abstract
Denne kandidatafhandling undersøger, hvor godt almindelige strategier kan forhindre overophedning i et nybygget enfamiliehus i Ry, Danmark. Fokus er på naturlig ventilation (køling med udeluft), faseændringsmaterialer (PCM, materialer der optager og afgiver varme, når de smelter og størkner) og solafskærmning. Ydeevnen vurderes med en adaptiv komfortmodel, som tager højde for, hvordan personer tilpasser sig temperaturer, samt med simulerede fremtidige vejrdatasæt frem til år 2100. Arbejdet tager udgangspunkt i Bygningsreglementet 2018 og DS/EN 15251. Bygningen er modelleret i DesignBuilder, og ekstreme fremtidige vejrforhold er genereret med Meteonorm og CCWorldWeatherGen. Overophedningsresiliens er kvantificeret med POR (et mål for overophedningsrisiko) og antallet af timer over 27 °C og 28 °C. Derudover er robustheden testet over for ændringer i forudsætninger, herunder belægningsgrad, klimaændringer og teknologi-relaterede usikkerheder. Resultaterne viser meget lave POR-værdier for alle strategier (under 5 %). PCM og naturlig ventilation var dog ikke robuste over for klimaændringer i dette tilfælde, mens kombinationen af teknologier gav den højeste robusthed ved højere personbelastning. Alle strategier var robuste over for usikkerheder i teknologiens ydeevne, vejrinndata og tidsfordelingen af ophold.
This master’s thesis examines how well common strategies can prevent overheating in a newly built single-family house in Ry, Denmark. The study focuses on natural ventilation (cooling with outdoor air), phase change materials (PCM, materials that absorb and release heat as they melt and solidify), and shading. Performance is assessed using an adaptive comfort model, which considers how people adapt to temperature, together with simulated future weather data up to the year 2100. The work references the Danish Building Regulations 2018 and DS/EN 15251. The building is modeled in DesignBuilder, and extreme future weather is generated with Meteonorm and CCWorldWeatherGen. Resilience to overheating is quantified by POR (a measure of overheating risk) and by the number of hours above 27 °C and 28 °C. The study also tests robustness to changes in assumptions, including occupancy levels, climate change, and uncertainties related to the technologies themselves. The results show very low POR values for all strategies (below 5%). However, PCM and natural ventilation are not robust to climate change in this case, while combining strategies provides the highest robustness when occupant density increases. All strategies are robust to uncertainties in technology performance, weather inputs, and occupancy timing.
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