Сравнение методов

	Моделирование дневного света	Анализ акустического проектирования	Моделирование энергетических характеристик зданий
Область	Архитектура	Архитектура	Архитектура
Семейство	Process / pipeline	Process / pipeline	Process / pipeline
Год появления	2006	1922	1993
Автор метода	Christoph Reinhart, John Mardaljevic	Wallace Clement Sabine	Joe Clarke, Drury Crawley
Тип	computational daylighting assessment method	room acoustic prediction and assessment method	dynamic thermal and energy simulation method
Основополагающий источник	Reinhart, C. F., Mardaljevic, J., Rogers, Z. (2010). Dynamic Daylight Performance Metrics for Sustainable Building Design. Leukos, 3(1), 7-31.	Sabine, W. C. (1922). Collected Papers on Acoustics. Harvard University Press, Cambridge, MA.	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.
Другие названия	daylighting analysis, illuminance simulation, daylight availability assessment	sound analysis, room acoustic design, noise prediction	energy simulation, building thermal modeling, annual energy consumption analysis
Связанные	3	3	3
Сводка	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.	Acoustic Design Analysis is a method for evaluating the acoustical properties of buildings to predict sound levels, reverberation time, and speech intelligibility. Founded by Wallace Clement Sabine in the early 1900s, the field encompasses room acoustic design (controlling reverberation), sound transmission loss (preventing noise transfer between spaces), and environmental noise prediction.	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.