Pris: 29,-

Abstrakt

We present the scale-adaptive coupling between heterogeneous computational codes and experimental facilities for human-centred indoor thermal performance analysis. Currently, the analysis comprises human thermoregulation, convective and radiative heat transfer between a virtual manikin model and the environment as well as models for thermal sensation and comfort perception. The developed software framework presented in this paper enables the modular adaptation of existing and future simulation software and experimental devices for common integration into a uniform co-simulation environment. A middleware layer provides the runtime infrastructure which facilitates loose coupling of numerical sub-models on distributed computing platforms. It provides services to visualize intermediate results and to interact with the simulation during computation. Multiple scales are addressed by the simulation framework as the level of detail can be adapted, depending on the trade-off between accuracy and computational costs. Built-in numerical smoothing improves the quality and the stability of the simulation results. The architecture further supports the use of parallel computing resources like clusters or graphics hardware to increase the overall simulation performance.

Referanser

CCA Forum (2010) The DOE Common Component Architecture project , www.cca-forum.org

Cropper, P., Yang, T.,Cook, M., Fial a, D. and Yousaf, R. (2009) S imulating the effect of complex indoor environmental conditi ons on human thermal comfort , In IBPSA Building Simulation Conference 2009, Glasgow, Scotland

Djunaedy, E., Hensen J.L.M., and Loomans, M.G.L.C. (2003) Toward external coupling of building energy and airow modeling program, ASHRAE Transactions, Volume 109(2)

Fiala, D., Lomas, K.J. and Stohrer, M. (2001) Computer prediction of human thermoregulatory and temperature responses to a wide range of environmental conditions , International Journal of Biometeorology, Volume 45, 143-159

Frisch, J. (2008) Parametrisches Modell zur interaktiven Simulation menschlicher Thermoregulation, Diploma thesis, Technische Universität München

Henning M. and Spruiell M. (2010) Distributed programming with Ice , www.zeroc.com/Ice- Manual.pdf

Huizenga, C., Zhang, H., and Arens, E. (2001) A model of human physiology and comfort for assesing complex thermal environments , Building and Environment, Volume 36, 691-699

Kossel, R., Correia, C., Loeffler, M ., Bodmann, M. and Tegethoff W. (2009) Verteilte Systemsimulation mit TISC , In ASIM-Workshop, Dresden, Germany

Maué, J., Wahl, D. and Currle, J. (1997) Computation of the Thermal Environment in Passanger Compartments and Evaluation of Thermal Comfort , In Comfort in th De Auto motive Industry - Recent evelopment and Achievements, Bo logna, Italy, ATA Volume 1, 147-155

Mayer, E. and Schwab, R. (2004) Presentation of a Dummy Representing Suit for Simulation of huMAN heatloss (DRESSMAN) , European Journal of Applied Physiology, Volume 92(6), 626-629

Nilsson, H., Brohus, H. and Nielsen, P. (2007) CFD modeling of thermal m anikin heat loss in a comfort evaluation benchmark test , In Roomvent 2007, Helsinki, Finland

Niu, J. and Gao, N. (2008) Personalized ventilation for commercial aircraft cabins , In IndoorAir2008, Copenhagen, Denmark

Paulke, S. (2007) Finite element based implementation of Fiala\'s Thermal Manikin in THESEUS-FE , In EUROSIM 2007, Ljubljana, Slovenia

Ribes, A. and Caremoli, C. (2007) Salomé platform component m odel for numerical simulation , In International Computer Softwa re and Applications Confer ence, COMPSAC 2007, Beijing, China

Streblow, R., Müller, D. and Gores, I. (2008) A coupled simulation of th e thermal environment and thermal comfort with an adapted Tanabe comfort model , In IndoorAir2008, Copenhagen, Denmark

Tanabe, S., Kobayashi, K., Nakano, J. and Ozeki, Y. (2002) Evaluation of thermal comfort using combined multinode thermoregulation (65MN) and radiation models and computational flu did ynamics (CFD) , Energy and Buildings, Volume 34, 637-646

Van Treeck, C., Frisch, J., E gger, M. and Rank, E. (2009) Model-adaptive analysis of indoor thermal comfort , In IBPSA Building Simulation Conference 2009, Glasgow, Scotland

Wolf, K. and Bayrasy, P. (2010) Generic coupling of 1D system codes with 3D CFD tools , In ERCIM News, Volume 81, 27-28

Zhang, Y. and Yang, T. (2008) Simulation of human thermal res ponses in a confined space . In IndoorAir2008, Copenhagen, Denmark

Zhu, S., Kato, S., Ooka, R., Sa koi, T. and Tsuzuki, K. (2008) Development of a computational thermal manikin applicable in a non-u Rn iform thermal environment (part 2) , ASHRAE HVAC&R esearch, Volume 14(4), 545-564





Forrige artikkel      Neste artikkel