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	Symulacja światła dziennego	Symulacja Energetyczna Budynków	Ocena komfortu cieplnego
Dziedzina	Architektura	Architektura	Architektura
Rodzina	Process / pipeline	Process / pipeline	Process / pipeline
Rok powstania	2006	1993	1972
Twórca	Christoph Reinhart, John Mardaljevic	Joe Clarke, Drury Crawley	Povl Ole Fanger
Typ	computational daylighting assessment method	dynamic thermal and energy simulation method	psychrometric comfort assessment method
Źródło pierwotne	Reinhart, C. F., Mardaljevic, J., Rogers, Z. (2010). Dynamic Daylight Performance Metrics for Sustainable Building Design. Leukos, 3(1), 7-31.	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.	Fanger, P. O. (1972). Thermal Comfort: Analysis and Applications in Environmental Engineering. Danish Technical Press, Copenhagen.
Inne nazwy	daylighting analysis, illuminance simulation, daylight availability assessment	energy simulation, building thermal modeling, annual energy consumption analysis	thermal comfort evaluation, adaptive comfort model, PMV-PPD analysis
Pokrewne	3	3	3
Podsumowanie	Daylight 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.