Comparer des méthodes

	Simulation de la lumière du jour	Évaluation Post-Occupation	Évaluation du confort thermique
Domaine	Architecture	Architecture	Architecture
Famille	Process / pipeline	Process / pipeline	Process / pipeline
Année d'origine	2006	1988	1972
Auteur d'origine	Christoph Reinhart, John Mardaljevic	Wolfgang Preiser	Povl Ole Fanger
Type	computational daylighting assessment method	empirical building evaluation method	psychrometric comfort assessment method
Source fondatrice	Reinhart, C. F., Mardaljevic, J., Rogers, Z. (2010). Dynamic Daylight Performance Metrics for Sustainable Building Design. Leukos, 3(1), 7-31.	Preiser, W. F., Rabinowitz, H. Z., White, E. T. (1988). Post-Occupancy Evaluation. Van Nostrand Reinhold, New York.	Fanger, P. O. (1972). Thermal Comfort: Analysis and Applications in Environmental Engineering. Danish Technical Press, Copenhagen.
Alias	daylighting analysis, illuminance simulation, daylight availability assessment	POE, building performance evaluation, occupant satisfaction assessment	thermal comfort evaluation, adaptive comfort model, PMV-PPD analysis
Apparentées	3	3	3
Résumé	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.	Post-Occupancy Evaluation (POE) is a systematic method for assessing how well a completed building meets the needs and expectations of its occupants, comparing planned performance to actual performance. Formalized by Wolfgang Preiser in the 1980s, POE has become essential for learning what design strategies work, identifying problems for remediation, and improving future projects.	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.