TY - JOUR A1 - Völker, Conrad A1 - Alsaad, Hayder T1 - Simulating the human body's microclimate using automatic coupling of CFD and an advanced thermoregulation model JF - Indoor Air N2 - This study aims to develop an approach to couple a computational fluid dynamics (CFD) solver to the University of California, Berkeley (UCB) thermal comfort model to accurately evaluate thermal comfort. The coupling was made using an iterative JavaScript to automatically transfer data for each individual segment of the human body back and forth between the CFD solver and the UCB model until reaching convergence defined by a stopping criterion. The location from which data are transferred to the UCB model was determined using a new approach based on the temperature difference between subsequent points on the temperature profile curve in the vicinity of the body surface. This approach was used because the microclimate surrounding the human body differs in thickness depending on the body segment and the surrounding environment. To accurately simulate the thermal environment, the numerical model was validated beforehand using experimental data collected in a climate chamber equipped with a thermal manikin. Furthermore, an example of the practical implementations of this coupling is reported in this paper through radiant floor cooling simulation cases, in which overall and local thermal sensation and comfort were investigated using the coupled UCB model. KW - Numerische Strömungssimulation KW - Mikroklima KW - Wärmeübergangszahl KW - Wärmeempfindung KW - computational fluid dynamics KW - microclimate KW - UCB model KW - heat transfer coefficient KW - thermal sensation Y1 - 2018 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:gbv:wim2-20190218-38517 UR - https://onlinelibrary.wiley.com/doi/full/10.1111/ina.12451 N1 - This is the peer reviewed version of the article published in Indoor Air 28 (3), 415-425 (2018) and may be found in final form at https://doi.org/10.1111/ina.12451. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving. Copyright 2018 John Wiley & Sons. This article may be downloaded for personal use only. Any other use requires prior permission of the authors and John Wiley & Sons. VL - 2018 IS - 28, Heft 3 SP - 415 EP - 425 ER - TY - JOUR A1 - Alsaad, Hayder A1 - Völker, Conrad T1 - Performance assessment of a ductless personalized ventilation system using a validated CFD model JF - Journal of Building Performance Simulation N2 - The aim of this study is twofold: to validate a computational fluid dynamics (CFD) model, and then to use the validated model to evaluate the performance of a ductless personalized ventilation (DPV) system. To validate the numerical model, a series of measurements was conducted in a climate chamber equipped with a thermal manikin. Various turbulence models, settings, and options were tested; simulation results were compared to the measured data to determine the turbulence model and solver settings that achieve the best agreement between the measured and simulated values. Subsequently, the validated CFD model was then used to evaluate the thermal environment and indoor air quality in a room equipped with a DPV system combined with displacement ventilation. Results from the numerical model were then used to quantify thermal sensation and comfort using the UC Berkeley thermal comfort model. KW - Ventilation KW - Validierung KW - Strömungsmechanik KW - Raumklima KW - personalized ventilation KW - validation KW - computational fluid dynamics KW - thermal comfort KW - indoor air quality Y1 - 2018 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:gbv:wim2-20190218-38500 UR - https://www.tandfonline.com/doi/full/10.1080/19401493.2018.1431806 N1 - Copyright 2018 Taylor & Francis Group and the International Building Performance Simulation Association (IBPSA). This article may be downloaded for personal use only. Any other use requires prior permission of the authors and Taylor & Francis Group. This is an Accepted Manuscript of an article published by Taylor & Francis in the Journal of Building Performance Simulation 11 (6), 689–704 (2018) and may be found at https://doi.org/10.1080/19401493.2018.1431806 VL - 2018 IS - 11, Heft 6 SP - 689 EP - 704 ER - TY - JOUR A1 - Alsaad, Hayder A1 - Schälte, Gereon A1 - Schneeweiß, Mario A1 - Becher, Lia A1 - Pollack, Moritz A1 - Gena, Amayu Wakoya A1 - Schweiker, Marcel A1 - Hartmann, Maria A1 - Voelker, Conrad A1 - Rossaint, Rolf A1 - Irrgang, Matthias T1 - The Spread of Exhaled Air and Aerosols during Physical Exercise JF - Journal of Clinical Medicine N2 - Physical exercise demonstrates a special case of aerosol emission due to its associated elevated breathing rate. This can lead to a faster spread of airborne viruses and respiratory diseases. Therefore, this study investigates cross-infection risk during training. Twelve human subjects exercised on a cycle ergometer under three mask scenarios: no mask, surgical mask, and FFP2 mask. The emitted aerosols were measured in a grey room with a measurement setup equipped with an optical particle sensor. The spread of expired air was qualitatively and quantitatively assessed using schlieren imaging. Moreover, user satisfaction surveys were conducted to evaluate the comfort of wearing face masks during training. The results indicated that both surgical and FFP2 masks significantly reduced particles emission with a reduction efficiency of 87.1% and 91.3% of all particle sizes, respectively. However, compared to surgical masks, FFP2 masks provided a nearly tenfold greater reduction of the particle size range with long residence time in the air (0.3–0.5 μm). Furthermore, the investigated masks reduced exhalation spreading distances to less than 0.15 m and 0.1 m in the case of the surgical mask and FFP2 mask, respectively. User satisfaction solely differed with respect to perceived dyspnea between no mask and FFP2 mask conditions. KW - Sport KW - Training KW - Fahrradergometer KW - sport KW - training KW - cycle ergometer KW - schlieren imaging KW - particles concentration KW - OA-Publikationsfonds2023 Y1 - 2023 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:gbv:wim2-20230208-49262 UR - https://www.mdpi.com/2077-0383/12/4/1300 VL - 2023 IS - Volume 12, issue 4, article 1300 PB - Basel CY - MDPI ER - TY - JOUR A1 - Alsaad, Hayder A1 - Völker, Conrad T1 - Qualitative evaluation of the flow supplied by personalized ventilation using schlieren imaging and thermography JF - Building and Environment N2 - Personalized ventilation (PV) is a mean of delivering conditioned outdoor air into the breathing zone of the occupants. This study aims to qualitatively investigate the personalized flows using two methods of visualization: (1) schlieren imaging using a large schlieren mirror and (2) thermography using an infrared camera. While the schlieren imaging was used to render the velocity and mass transport of the supplied flow, thermography was implemented to visualize the air temperature distribution induced by the PV. Both studies were conducted using a thermal manikin to simulate an occupant facing a PV outlet. As a reference, the flow supplied by an axial fan and a cased axial fan was visualized with the schlieren system as well and compared to the flow supplied by PV. Schlieren visualization results indicate that the steady, low-turbulence flow supplied by PV was able to penetrate the thermal convective boundary layer encasing the manikin's body, providing clean air for inhalation. Contrarily, the axial fan diffused the supplied air over a large target area with high turbulence intensity; it only disturbed the convective boundary layer rather than destroying it. The cased fan supplied a flow with a reduced target area which allowed supplying more air into the breathing zone compared to the fan. The results of thermography visualization showed that the supplied cool air from PV penetrated the corona-shaped thermal boundary layer. Furthermore, the supplied air cooled the surface temperature of the face, which indicates the large impact of PV on local thermal sensation and comfort. KW - Bildverarbeitung KW - Photothermische Methode KW - Visualisierung KW - Belüftung KW - Lüftungsanlage KW - Schlieren imaging KW - Thermography KW - Visualization KW - Personalized ventilation KW - Axial fan Y1 - 2021 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:gbv:wim2-20211008-45117 UR - https://www.sciencedirect.com/science/article/abs/pii/S0360132319306602?via%3Dihub N1 - This is the accepted manuscript of the article published by Elsevier in Building and Environment 167 (2020) 106450, which can be found at https://doi.org/10.1016/j.buildenv.2019.106450. VL - 2020 IS - Volume 167, article 106450 PB - Elsevier CY - New York ER -