| ³í¹®¸í |
¸ðµ¨¸®Ä«¸¦ ÀÌ¿ëÇÑ ºñÀΰúÀû ¿ÜÇÇ ½Ã¹Ä·¹ÀÌ¼Ç / Use of an acausal simulation tool, Modelica for a building envelope |
| ¼ö·Ï»çÇ× |
Ãß°èÇмú¹ßÇ¥´ëȸ, 2010 (2010-10) |
| ÆäÀÌÁö |
½ÃÀÛÆäÀÌÁö(215) ÃÑÆäÀÌÁö(4) |
| ÁÖÁ¦¾î |
ºñÀΰúÀû ÇÁ·Î±×·¡¹Ö ; ¸ðµ¨¸®Ä« ; ¸ÅƲ·¦ ; ºôµù½Ã¹Ä·¹ÀÌ¼Ç ; ÀÌÁß¿ÜÇÇ ; Acausal Programing ; Modelica ; Matlab ; Building Simulation ; DSF |
| ¿ä¾à2 |
Traditional building simulation tools have been developed to perform building energy analysis, energy cost calculation, etc. Most those tools(e+, esp-r, ...) handle problems on the basis of causal way, in other words, the sequential approach. Data from input to output goes through only one direction. The next generation of building simulation tools, Modelica is introduced because it is acausal in which every element in model is interacted one another realistically. In the paper, simulated data are compared in terms of two different ways for simulation tools. The former is used in MATLAB in the causal approach with a space-averaged lumped physical model introduced for modeling of the Double Skin Facade (DSF). The latter is expressed in Modelica, the acausal programing where the full integration approach is used by incorporating both sets of D.E. and A.E. into a single Differential Algebraic Equation (DAE) and solved simultaneously. The comparison was made between simulation outputs from MATLAB and Modelica. Moreover, the working details of the thermal simulation for a DSF system in Modelica, the acausal programing language and specific discussions on the modeling work environment are provided. |