Characterization of the thermal structure of different building constructions using in-situ measurements and Bayesian analysis
| Autor: | Virginia Gori, Clifford A. Elwell |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Mathematical optimization
Materials science 020209 energy Markov chain Monte Carlo 02 engineering and technology Mechanics 01 natural sciences R-value (insulation) symbols.namesake 0103 physical sciences Thermal Heat transfer 0202 electrical engineering electronic engineering information engineering Maximum a posteriori estimation symbols Probability distribution Thermal mass 010303 astronomy & astrophysics Cavity wall |
| Zdroj: | Energy Procedia. 132:537-542 |
| ISSN: | 1876-6102 |
| DOI: | 10.1016/j.egypro.2017.09.723 |
| Popis: | A dynamic method, comprising a two lumped-thermal-mass model and Markov Chain Monte Carlo sampler, was used to analyze in-situ-monitored data and estimate the thermophysical properties of two walls of different construction. This method, unlike maximum a posteriori approaches, estimates the parameters’ probability distributions, providing insight into the wall’s thermal structure. Total R-values were well defined for both walls, whilst constituent estimated R-values for a solid wall having layers of materials with similar thermal properties were anticorrelated (thermal mass locations weakly constrained), but were not correlated for an insulated cavity wall with thermally distinct layers (thermal mass locations strongly thermally constrained). |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|