Articles

Quasi-Monte Carlo based uncertainty analysis: Sampling efficiency and error estimation in engineering applications
November 2019
By: Tianfeng Hou, Dirk Nuyens, Staf Roels, Hans Janssen
Publisher: Reliability Engineering & System Safety, Volume 191

In probabilistic assessment via Monte Carlo sampling efficiency is of high importance. It is shown that Quasi-Monte Carlo mostly performs better than standard Monte Carlo. Depending on the smoothness of the function and the number of dominant parameters. Randomization techniques on Quasi-Monte Carlo allows assessing sampling accuracy.In probabilistic assessment via Monte Carlo sampling efficiency is of high importance. It is shown that Quasi-Monte Carlo mostly performs better than standard Monte Carlo. Depending on the smoothness of the function and the number of dominant parameters. Randomization techniques on Quasi-Monte Carlo allows assessing sampling accuracy.

 

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Trilemma of historic buildings: Smart district heating systems, bioeconomy and energy efficiency
November 2019
By: Andra Blumberga, Ritvars Freimanis, Indra Muizniece, Kriss Spalvins, Dagnija Blumberga
Publisher: Energy, Volume 186

Novel insulation material made from pine needles based on bioeconomy principles is tested. Insulation material without/with lime treatment was tested for application as internal insulation for historic buildings. Insulation material is highly porous, has high moisture transfer and storage capacity, and is good hygric regulator. No mold growth was detected at 85% relative humidity for lime treated samples.

 

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