Comparer des méthodes
Examinez les méthodes sélectionnées côte à côte ; les lignes qui diffèrent sont mises en évidence.
| Simulation de la lumière du jour× | Simulation de la performance énergétique des bâtiments× | |
|---|---|---|
| Domaine | Architecture | Architecture |
| Famille | Process / pipeline | Process / pipeline |
| Année d'origine≠ | 2006 | 1993 |
| Auteur d'origine≠ | Christoph Reinhart, John Mardaljevic | Joe Clarke, Drury Crawley |
| Type≠ | computational daylighting assessment method | dynamic thermal and energy simulation method |
| Source fondatrice≠ | Reinhart, 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 ↗ |
| Alias | daylighting analysis, illuminance simulation, daylight availability assessment | energy simulation, building thermal modeling, annual energy consumption analysis |
| Apparentées | 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. | 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. |
| ScholarGateJeu de données ↗ |
|
|