Empirical validation of models to compute solar irradiance on inclined surfaces for building energy simulation

被引:306
作者
Loutzenhiser, P. G. [1 ]
Manz, H.
Felsmann, C.
Strachan, P. A.
Frank, T.
Maxwell, G. M.
机构
[1] Swiss Fed Labs Mat Testing & Res, Lab Appl Phys Bldg, CH-8600 Dubendorf, Switzerland
[2] Iowa State Univ, Dept Mech Engn, Ames, IA 50011 USA
[3] Tech Univ Dresden, Inst Thermodynam & Bldg Syst Engn, D-01062 Dresden, Germany
[4] Univ Strathclyde, ESRU, Dept Mech Engn, Glasgow G1 1XJ, Lanark, Scotland
基金
英国工程与自然科学研究理事会;
关键词
solar radiation models; empirical validation; building energy simulation; uncertainty analysis;
D O I
10.1016/j.solener.2006.03.009
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Accurately computing solar irradiance on external facades is a prerequisite for reliably predicting thermal behavior and cooling loads of buildings. Validation of radiation models and algorithms implemented in building energy simulation codes is an essential endeavor for evaluating solar gain models. Seven solar radiation models implemented in four building energy simulation codes were investigated: (1) isotropic sky, (2) Klucher, (3) Hay-Davies, (4) Reindl, (5) Muneer, (6) 1987 Perez, and (7) 1990 Perez models. The building energy simulation codes included: EnergyPlus, DOE-2.1E, TRNSYS-TUD, and ESP-r. Solar radiation data from two 25 days periods in October and March/April, which included diverse atmospheric conditions and solar altitudes, measured on the EMPA campus in a suburban area in Duebendorf, Switzerland, were used for validation purposes. Two of the three measured components of solar irradiances - global horizontal, diffuse horizontal and direct-normal - were used as inputs for calculating global irradiance on a south-west facade. Numerous statistical parameters were employed to analyze hourly measured and predicted global vertical irradiances. Mean absolute differences for both periods were found to be: (1) 13.7% and 14.9% for the isotropic sky model, (2) 9.1% for the Hay-Davies model, (3) 9.4% for the Reindl model, (4) 7.6% for the Muneer model, (5) 13.2% for the Klucher model, (6) 9.0%, 7.7%, 6.6%, and 7.1 % for the 1990 Perez models, and (7) 7.9% for the 1987 Perez model. Detailed sensitivity analyses using Monte Carlo and fitted effects for N-way factorial analyses were applied to assess how uncertainties in input parameters propagated through one of the building energy simulation codes and impacted the output parameter. The implications of deviations in computed solar irradiances on predicted thermal behavior and cooling load of buildings are discussed. (c) 2006 Elsevier Ltd. All rights reserved.
引用
收藏
页码:254 / 267
页数:14
相关论文
共 39 条
[1]  
[Anonymous], 1996, Monte Carlo Concepts, Algorithms and Applications
[2]   Sensitivity analysis and validation of buildings' thermal models using adjoint-code method [J].
Aude, P ;
Tabary, L ;
Depecker, P .
ENERGY AND BUILDINGS, 2000, 31 (03) :267-283
[3]   3D isotropic approximation for solar diffuse irradiance on tilted surfaces [J].
Badescu, V .
RENEWABLE ENERGY, 2002, 26 (02) :221-233
[4]   Solar radiation on tilted south oriented surfaces: Validation of transfer-models [J].
Behr, HD .
SOLAR ENERGY, 1997, 61 (06) :399-413
[5]  
BUHL F, 2005, PRIVATE EMAIL CORRES
[6]   Application of parameters space analysis tools for empirical model validation [J].
del Barrio, EP ;
Guyon, G .
ENERGY AND BUILDINGS, 2004, 36 (01) :23-33
[7]   Theoretical basis for empirical model validation using parameters space analysis tools [J].
Del Barrio, EP ;
Guyon, G .
ENERGY AND BUILDINGS, 2003, 35 (10) :985-996
[8]  
Duffie J.A., 2006, SOLAR ENG THERMAL PR, VThird
[9]  
*EMPA, 2002, SWISS FED LAB MAT TE
[10]   Confidence of simulation results:: put a sensitivity analysis module in your MODEL -: The IEA-ECBCS Annex 23 experience of model evaluation [J].
Fürbringer, JM ;
Roulet, CA .
ENERGY AND BUILDINGS, 1999, 30 (01) :61-71