853 - 855 |
A view of energy and building performance simulation at the start of the third millennium Hensen JLM, Lamberts R, Negrao COR |
857 - 871 |
The adaptive conflation of computational fluid dynamics with whole-building thermal simulation Beausoleil-Morrison I |
873 - 882 |
COMIS v3.1 simulation environment for multizone air flow and pollutant transport modelling Haas A, Weber A, Dorer V, Keilholz W, Pelletret R |
883 - 889 |
A method for simulating the performance of photosensor-based lighting controls Ehrlich C, Papamichael K, Lai J, Revzan K |
891 - 899 |
A prediction tool for the temperature field of double facades von Grabe J |
901 - 907 |
BSPro COM-Server - interoperability between software tools using industrial foundation classes Karola A, Lahtela H, Hanninen R, Hitchcock R, Chen QY, Dajka S, Hagstrom K |
909 - 916 |
Development of a testing method for control HVAC systems by emulation Lahrech R, Gruber P, Riederer P, Tessier P, Visier JC |
917 - 931 |
Applying the building energy simulation test (BESTEST) diagnostic method to verification of space conditioning equipment models used in whole-building energy simulation programs Neymark J, Judkoff R, Knabe G, Le HT, Durig M, Glass A, Zweifel G |
933 - 940 |
Simulation-assisted control in building energy management systems Clarke JA, Cockroft J, Conner S, Hand JW, Kelly NJ, Moore R, O'Brien T, Strachan P |
941 - 949 |
Indoor air flow analysis based on lattice Boltzmann methods Crouse B, Krafczyk M, Kuhner S, Rank E, van Treeck C |
951 - 958 |
Analysis of uncertainty in building design evaluations and its implications de Wit S, Augenbroe G |
959 - 972 |
Optimization of building thermal design and control by multi-criterion genetic algorithm Wright JA, Loosemore HA, Farmani R |
973 - 983 |
Efficient creation of building performance simulators using automatic code generation Zimmermann G |