Simulating heat conduction in massive walls with commercial software is reported to cause numerical instability or reduced accur acy. As contribution to the discussion, we have simulated one-dimensional heat conduction in massive walls and their dynamic thermal responses to a step, a sinusoid and time se- ries in TRNSYS, EnergyPlus, Delphin and Matlab. As reference, we have used EN ISO 13786:2007 and a self-written Matlab response factor method imple- mentation. We have compared transient and steady- state wall surface temperatur es and heat fluxes for two different accuracy settin gs using suitable metrics. Errors up to 1 kWh/(m 2 month) have been observed.
Marco Giuliani, Stefano Avesani, Ulrich Filippi Oberegger (2013). QUANTITATIVE COMPARISON OF MASSIVE WALLS THERMAL RESPONSE AMONG COMMERCIAL SOFTWARE. Chambery : Etienne Wurtz.
QUANTITATIVE COMPARISON OF MASSIVE WALLS THERMAL RESPONSE AMONG COMMERCIAL SOFTWARE
GIULIANI, MARCO;
2013
Abstract
Simulating heat conduction in massive walls with commercial software is reported to cause numerical instability or reduced accur acy. As contribution to the discussion, we have simulated one-dimensional heat conduction in massive walls and their dynamic thermal responses to a step, a sinusoid and time se- ries in TRNSYS, EnergyPlus, Delphin and Matlab. As reference, we have used EN ISO 13786:2007 and a self-written Matlab response factor method imple- mentation. We have compared transient and steady- state wall surface temperatur es and heat fluxes for two different accuracy settin gs using suitable metrics. Errors up to 1 kWh/(m 2 month) have been observed.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
