Simulating Combined Heat And Moisture Transfert With Energyplus: Uncertainty Study And Comparison With Experimental Data

This article presents a comparison between experimental and numerical results in terms of coupled hygrothermal behavior. The measurements were taken on an experimental wooden-frame house located in France. Several sensors were installed in the room and in several locations inside the walls. The external climate was measured as well. Numerical simulations were performed with the EnergyPlus tool and its algorithm for combined heat and moisture transfer, available since September 2011. First, the simulated and measured values were compared for temperature and humidity in the walls. Then the most influential parameters were obtained using a global sensitivity analysis. This method classifies the impact of parameters in a model that contains many factors with a relatively small number of simulations. As a second step, an optimization analysis was performed to determine the optimal value of the most important parameters within the corresponding uncertainty band. Finally, an uncertainty analysis using Monte Carlo simulations was performed in order to complement the simulation results with uncertainty bands. A total of 1000 simulations were run to obtain a satisfactory result.

[1]  Monika Woloszyn,et al.  Tools for performance simulation of heat, air and moisture conditions of whole buildings , 2008 .

[2]  Fraunhofer-Institut für Bauphysik,et al.  Simultaneous heat and moisture transport in building components: One- and two-dimensional calculation using simple parameters , 1995 .

[3]  Harvey M. Wagner,et al.  Global Sensitivity Analysis , 1995, Oper. Res..

[4]  Monika Woloszyn,et al.  Impact of direct solar irradiance on heat transfer behind an open-jointed ventilated cladding: Experimental and numerical investigations , 2012 .

[5]  Yuehong Lu,et al.  Method and case study of quantitative uncertainty analysis in building energy consumption inventories , 2013 .

[6]  Thierry Alex Mara,et al.  Extension of the RBD-FAST method to the computation of global sensitivity indices , 2009, Reliab. Eng. Syst. Saf..

[7]  N. Mendesa,et al.  Moisture Effects on Conduction Loads , 2004 .

[8]  Nacim Ramdani,et al.  Application of group screening to dynamic building energy simulation models , 1997 .

[9]  Michael Wetter,et al.  Generic Optimization Program , 1998 .

[10]  P. Fanger,et al.  Impact of Temperature and Humidity on the Perception of Indoor Air Quality , 1998 .

[11]  Monika Woloszyn,et al.  Experimental wooden frame house for the validation of whole building heat and moisture transfer nume , 2011 .

[12]  Saltelli Andrea,et al.  Global Sensitivity Analysis: The Primer , 2008 .

[13]  S. Rahman Reliability Engineering and System Safety , 2011 .

[14]  Daniel E. Fisher,et al.  EnergyPlus: creating a new-generation building energy simulation program , 2001 .

[15]  A. Piot Hygrothermique du bâtiment : expérimentation sur une maison à ossature bois en conditions climatiques naturelles et modélisation numérique , 2009 .

[16]  Nathan Mendes,et al.  Combined simulation of central HVAC systems with a whole-building hygrothermal model , 2008 .

[17]  Stefano Tarantola,et al.  Sensitivity Analysis in Practice: A Guide to Assessing Scientific Models , 2004 .

[18]  Marjorie Musy,et al.  Application of sensitivity analysis in building energy simulations: combining first and second order elementary effects Methods , 2012, ArXiv.

[19]  Laurent Mora,et al.  Practical application of uncertainty analysis and sensitivity analysis on an experimental house , 2012 .

[20]  Etienne Wurtz,et al.  ANALYSIS OF DYNAMIC THERMAL SIMULATION FOR REFURBISHMENT , 2013 .

[21]  Athanasios Tzempelikos,et al.  Sensitivity analysis on daylighting and energy performance of perimeter offices with automated shading , 2013 .

[22]  Paul Strachan,et al.  Practical application of uncertainty analysis , 2001 .

[23]  Monika Woloszyn,et al.  Assessment of the air change rate of airtight buildings under natural conditions using the tracer gas technique. Comparison with numerical modelling , 2013 .

[24]  Yeonsook Heo,et al.  Calibration of building energy models for retrofit analysis under uncertainty , 2012 .