Comparer des méthodes

	Évaluation Post-Occupation	Simulation de la lumière du jour	Évaluation du confort thermique
Domaine	Architecture	Architecture	Architecture
Famille	Process / pipeline	Process / pipeline	Process / pipeline
Année d'origine	1988	2006	1972
Auteur d'origine	Wolfgang Preiser	Christoph Reinhart, John Mardaljevic	Povl Ole Fanger
Type	empirical building evaluation method	computational daylighting assessment method	psychrometric comfort assessment method
Source fondatrice	Preiser, W. F., Rabinowitz, H. Z., White, E. T. (1988). Post-Occupancy Evaluation. Van Nostrand Reinhold, New York.	Reinhart, C. F., Mardaljevic, J., Rogers, Z. (2010). Dynamic Daylight Performance Metrics for Sustainable Building Design. Leukos, 3(1), 7-31.	Fanger, P. O. (1972). Thermal Comfort: Analysis and Applications in Environmental Engineering. Danish Technical Press, Copenhagen.
Alias	POE, building performance evaluation, occupant satisfaction assessment	daylighting analysis, illuminance simulation, daylight availability assessment	thermal comfort evaluation, adaptive comfort model, PMV-PPD analysis
Apparentées	3	3	3
Résumé	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.	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.	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.