Development of a dynamic model for natural ventilated photovoltaic components and of a data driven approach to validate and identify the model parameters
作者: J. CiprianoG. HouzeauxG. MorU. EickerJ. CarbonellS. Danov
作者单位: 1Centre Internacional de Mètodes Numèrics a l’Enginyeria (CIMNE), Building Energy and Environment Group, CIMNE-UdL classroom c/Pere de Cabrera s/n, Office 1.16, 25001 Lleida, Spain
2Barcelona Supercomputing Center (BSC-CNS), 08034 Barcelona, Spain
3Research Centre Sustainable Energy Technologies, University of Applied Sciences Stuttgart, Schellingstr.24, 70174 Stuttgart, Germany
4Centre Internacional de Mètodes Numèrics a l’Enginyeria (CIMNE), Building Energy and Environment Group, c/Rambla St Nebridi 22, 08222 Terrassa, Spain
刊名: Solar Energy, 2016, Vol.129 , pp.310-331
来源数据库: Elsevier Journal
DOI: 10.1016/j.solener.2016.01.039
关键词: Building integrated photovoltaicsDynamic simulation modelingData driven optimizationSensitivity analysisLatin Hypercube Monte Carlo
英文摘要: Abstract(#br)In the development of dynamic models for the energy performance evaluation of building integrated natural ventilated PV components there are still many open questions regarding the uncertainty of the estimated parameters of the models. Traditionally, the dynamic models for these complex components are derived from the heat transfer balance equations, and the unknown heat transfer coefficients (convection and radiation), the solar properties of the materials or the pressure coefficients for the air mass flow rate balance, are assigned based on literature or on manufacturer prescriptions. However, there is a lack of systematic methods able to validate the simulation outputs with the measured data, taking into consideration the uncertainty of the parameters and their effect over...
全文获取路径: Elsevier  (合作)
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影响因子:2.952 (2012)

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