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Alameda, CA, United States

Brown N.,Loisos Ubbelohde | Brown N.,California College of the Arts | Philip S.,Loisos Ubbelohde | Trojaola I.S.,Loisos Ubbelohde | And 3 more authors.
2014 ASHRAE/IBPSA-USA Building Simulation Conference | Year: 2014

This paper presents a calibration process for determining an accurate EnergyPlus modeling methodology for a particular Phase Change Material (PCM) product consisting of PCM contained in pouches sandwiched between two sheets of plastic. Two test cells were constructed to control for the effect of the PCM product. Monitored test cell data were used to first calibrate an EnergyPlus model of the control test cell, and then to calibrate the EnergyPlus PCM module for the PCM product under investigation. The study results include calibrated PCM EnergyPlus module values for the PCM product. The results also demonstrate the importance of explicitly modeling heat transfer paths containing PCM separately from those not containing PCM. © 2014 ASHRAE. Source


Philip S.,Loisos Ubbelohde | Shameson A.,Loisos Ubbelohde | Brown N.,Loisos Ubbelohde | Brown N.,California College of the Arts | And 3 more authors.
2014 ASHRAE/IBPSA-USA Building Simulation Conference | Year: 2014

This paper presents the simulations used in designing a major retrofit to a fully conditioned office and classroom building on the University of Hawaii campus so that it is comfortable without air conditioning (compressive cooling). The design and consulting team worked with lighting, daylighting, shading, thermal mass and ventilation strategies so that comfortable conditions are expected to be maintained in classrooms and faculty offices. We developed modeling strategies to work iteratively with the design process to ensure that comfortable conditions can be achieved. This paper specifically describes the modeling strategies used to simulate adaptive comfort algorithms, cross-ventilation modeling, wind tunnel testing and calibration using site weather data. © 2014 ASHRAE. Source


Brown N.,Loisos Ubbelohde | Brown N.,California College of the Arts | Ubbelohde M.S.,Loisos Ubbelohde | Ubbelohde M.S.,University of California at Berkeley | And 3 more authors.
Simulation | Year: 2014

This study utilized energy simulation in support of a forensic pathology time-of-death analysis for a corpse discovered in a single-family residence two years prior to the study. In order to produce an accurate estimate of the interior temperature profile at the time of death, a thermal model was constructed using EnergyPlus and calibrated using environmental monitoring data from the site. The calibration methods used in the study draw from several precedents and are presented in detail. The thermal model was able to predict the temperature in the room of interest within 1.4°C (2.5°F) with 90% confidence. This model was then altered to account for known differences between the monitoring period and the period of interest, and used to predict what the temperature profile had been at the time of death. This study adds to a small body of work that compares simulated to measured performance data for unconditioned spaces, which should have a growing relevance as building energy performance simulation tools are used to model passive strategies. © 2014 The Society for Modeling and Simulation International. Source


Brown N.,Loisos Ubbelohde | Brown N.,California College of the Arts | Ubbelohde M.S.,Loisos Ubbelohde | Ubbelohde M.S.,University of California at Berkeley | And 3 more authors.
Simulation Series | Year: 2013

This study utilized energy simulation in support of a forensic pathology time of death analysis for a corpse discovered in a single family residence two years prior to the study. In order to produce an accurate estimate of the interior temperature profile at the time of death, a thermal model was constructed using EnergyPlus and calibrated using environmental monitoring data from the site. The thermal model was able to predict the temperature in the room of interest within 1.4°C (2.5°F) with 90% confidence. This model was then altered to account for known differences between the monitoring period and the period of interest, and used to predict what the temperature profile had been at the time of death. This study adds to a small body of work that compares simulated to measured performance data for unconditioned spaces, which should have a growing relevance as building energy performance simulation (BEPS) tools are used to model passive strategies. Source

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