手法を比較

	温熱快適性評価 (Thermal Comfort Assessment)	音響設計解析	建築物エネルギー性能シミュレーション	昼光シミュレーション
分野	建築学	建築学	建築学	建築学
系統	Process / pipeline	Process / pipeline	Process / pipeline	Process / pipeline
提唱年	1972	1922	1993	2006
提唱者	Povl Ole Fanger	Wallace Clement Sabine	Joe Clarke, Drury Crawley	Christoph Reinhart, John Mardaljevic
種類	psychrometric comfort assessment method	room acoustic prediction and assessment method	dynamic thermal and energy simulation method	computational daylighting assessment method
原典	Fanger, P. O. (1972). Thermal Comfort: Analysis and Applications in Environmental Engineering. Danish Technical Press, Copenhagen.	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.	Reinhart, C. F., Mardaljevic, J., Rogers, Z. (2010). Dynamic Daylight Performance Metrics for Sustainable Building Design. Leukos, 3(1), 7-31.
別名	thermal comfort evaluation, adaptive comfort model, PMV-PPD analysis	sound analysis, room acoustic design, noise prediction	energy simulation, building thermal modeling, annual energy consumption analysis	daylighting analysis, illuminance simulation, daylight availability assessment
関連	3	3	3	3
概要	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.	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.	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.