Review of the Assessment of Thermal Mass in Whole Building Performance Simulation Tools

There is a plethora of dynamic Building Performance Simulation (BPS) tools on the market, that use different methods in terms of how they calculate the effect of thermal mass in buildings. This paper analyses the ability of six widely known BPS tools to calculate the thermal mass potential in whole BPS. The first stage is focused on the analysis of heating and cooling energy consumption, produced for a single-zone test building. This is done using the IEA Building Energy Simulation test (BESTEST) diagnostic method. The results are compared among the different BPS tools in order to examine the extent of variations. The second stage is a systematic comparison of the tools against some key parameters on the calculation methods and aims to investigate the implications of the inter-model variability on the simulation results. The results indicate that there is a divergence in the BPS predictions, and that the relative differences in the simulation results of the different BPS tools are always higher for high thermal mass.

[1]  Malcolm J. Cook,et al.  Assessment of ICF energy saving potential in whole building performance simulation tools , 2015 .

[2]  Overheating in new homes , 2012 .

[3]  M. J. Holmes,et al.  Embodied and operational carbon dioxide emissions from housing: A case study on the effects of thermal mass and climate change , 2008 .

[4]  S. A. Al-Sanea,et al.  Improving thermal performance of building walls by optimizing insulation layer distribution and thickness for same thermal mass , 2011 .

[5]  Jlm Jan Hensen,et al.  Uncertainty analysis in building performance simulation for design support , 2011 .

[6]  S. J. Irving.  Energy program validation: conclusions of IEA Annex I , 1982 .

[7]  Rural Affairs.  UK Climate Change Risk Assessment: Government Report , 2012 .

[8]  Gudni Jóhannesson,et al.  Accuracy of Energy Analysis of Buildings: A Comparison of a Monthly Energy Balance Method and Simulation Methods in Calculating the Energy Consumption and the Effect of Thermal Mass , 2008 .

[9]  R. Judkoff,et al.  International Energy Agency building energy simulation test (BESTEST) and diagnostic method , 1995 .

[10]  Dandan Zhu.  Comparison of Building Energy Modeling Programs: Building Loads , 2014 .

[11]  D. Ph.,et al.  Effect of Insulation and Mass Distribution in Exterior Walls on Dynamic Thermal Performance of Whole Buildings , 2015 .

[12]  Jon Hand,et al.  CONTRASTING THE CAPABILITIES OF BUILDING ENERGY PERFORMANCE SIMULATION PROGRAMS , 2008 .

[13]  M. Davies.  Building Heat Transfer , 2004 .

[14]  Alan Shu Khen Kwan,et al.  An investigation into future performance and overheating risks in Passivhaus dwellings , 2013 .

[15]  Bruno Peuportier,et al.  ACCOUNTING FOR THERMAL MASS IN THERMAL SIMULATION TOOLS: COMPARISON OF SEVERAL ASSUMPTIONS , 2013 .

[16]  Ambrose Dodoo,et al.  Effect of thermal mass on life cycle primary energy balances of a concrete- and a wood-frame building , 2012 .