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Tageslichtsimulation×Gebäudesimulation der Energieperformance×Bewertung des thermischen Komforts×
FachgebietArchitekturArchitekturArchitektur
FamilieProcess / pipelineProcess / pipelineProcess / pipeline
Entstehungsjahr200619931972
UrheberChristoph Reinhart, John MardaljevicJoe Clarke, Drury CrawleyPovl Ole Fanger
Typcomputational daylighting assessment methoddynamic thermal and energy simulation methodpsychrometric comfort assessment method
Wegweisende QuelleReinhart, C. F., Mardaljevic, J., Rogers, Z. (2010). Dynamic Daylight Performance Metrics for Sustainable Building Design. Leukos, 3(1), 7-31. DOI ↗Crawley, D. B., Hand, J. W., Kummert, M., Griffith, B. T. (2008). Contrasting the Capabilities of Building Energy Performance Simulation Programs. Building and Environment, 43(4), 661-673. DOI ↗Fanger, P. O. (1972). Thermal Comfort: Analysis and Applications in Environmental Engineering. Danish Technical Press, Copenhagen. link ↗
Aliasnamendaylighting analysis, illuminance simulation, daylight availability assessmentenergy simulation, building thermal modeling, annual energy consumption analysisthermal comfort evaluation, adaptive comfort model, PMV-PPD analysis
Verwandt333
ZusammenfassungDaylight Simulation is a computational method for predicting the availability and distribution of daylight in interior spaces and assessing visual comfort under varying sky conditions. Developed by researchers like Christoph Reinhart and John Mardaljevic in the 2000s, it has become central to designing healthy, energy-efficient buildings that maximize natural light while controlling glare.Building Energy Performance Simulation is a computational method for predicting how much energy a building consumes for heating, cooling, lighting, and equipment operation under specified weather and occupancy conditions. Pioneered by researchers like Joe Clarke and Drury Crawley in the 1990s, it has become essential for design optimization, compliance demonstration, and operational planning.Thermal Comfort Assessment is a method for evaluating indoor environmental conditions to predict whether occupants will feel thermally comfortable. Pioneered by Povl Ole Fanger in the 1970s, it combines measurements of air temperature, humidity, air speed, and thermal properties of clothing and activity to determine comfort zones and identify remedial actions.
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ScholarGateMethoden vergleichen: Daylight Simulation · Building Energy Performance Simulation · Thermal Comfort Assessment. Abgerufen am 2026-06-20 von https://scholargate.app/de/compare