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A master's thesis from Aalborg University
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Parametric Analysis of Building Related Resilient Cooling Technologies against Global Warming

Author

Term

4. term

Publication year

2020

Abstract

This thesis examines how buildings can be made more resilient to global warming using passive cooling technologies. Starting from a calibrated building model, the goal is to reduce discomfort (overheating) hours according to ASHRAE standards without increasing the building’s baseline energy use. Three strategies are analyzed and parametrically optimized: solar radiation control (e.g., shading), natural ventilation, and microclimate control. For each, parameter combinations that minimize discomfort hours under the energy constraint are identified, then the optimized solutions are tested against future climate scenarios. These scenarios are created using two different future weather file generation methods (Meteonorm and CCWeatherGen) to assess robustness. Finally, the three passive measures are combined into an integrated strategy and compared with the original building model. DesignBuilder and Excel support modeling, calibration, and evaluation. The work provides a structured method for selecting and combining passive cooling measures for resilient building design; however, quantitative findings are not included in this excerpt.

Dette speciale undersøger, hvordan bygninger kan gøres mere robuste over for global opvarmning ved hjælp af passive køleteknologier. Udgangspunktet er en kalibreret bygningsmodel, hvor målet er at reducere ubehagstimer (overtemperatur) i henhold til ASHRAE-standarder uden at øge det oprindelige energiforbrug. Tre teknologier analyseres og optimeres parametrisk: kontrol af solstråling (fx solafskærmning), naturlig ventilation og mikroklimakontrol. For hver løsning identificeres kombinationer af parametre, der minimerer ubehagstimer under energikravet, hvorefter de optimerede løsninger testes mod fremtidige klimascenarier. Disse scenarier skabes via to forskellige metoder til generering af fremtidige vejrdata (Meteonorm og CCWeatherGen) for at vurdere robustheden af resultaterne. Til sidst kombineres de tre passive tiltag i én samlet strategi og sammenlignes med den oprindelige bygningsmodel. Arbejdet anvender DesignBuilder og Excel til modellering, kalibrering og evaluering. Det leverer en systematisk tilgang til at vælge og kombinere passive kølestrategier til resilient bygningsdesign, men det foreliggende uddrag indeholder ikke kvantitative resultater.

[This apstract has been generated with the help of AI directly from the project full text]