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IDA Indoor Climate and Energy. On the effects of decoupling air flow and heat balance in building simulation models Per Sahlin EQUA Simulation AB Stockholm, Sweden www. equa .se. IDA Simulation Environment IDA Indoor Climate and Energy IDA Room
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IDA Indoor Climate and Energy On the effects of decoupling air flow and heat balance in building simulation models Per Sahlin EQUA Simulation AB Stockholm, Sweden www.equa.se IDA Simulation Environment IDA Indoor Climate and Energy IDA Room IDA Road Tunnel Ventilation
Problem and Outline • Why air-flow coupled thermal simulation by symbolic equations and general-purpose, variable-timestep DAE solvers? • A decent GUI will be used • Coupled models may be mathematically sticky: non-linearities + stiffness = short steps • Will “ping-pong” decoupling help?simpler structure – stability problems > 0 ? • Brief demo • Test cases and results • Alternative measures • Summary and conclusions
Why DAE based building simulation? Traditional approach: • Flexibility • Reuse • Speed?
Why DAE based building simulation? GUI Envelope & Zone Heat Balance Equation Based Models Framework Climate & Radiation Models Shading Models Numerical Numerical Symbolic Language Solver 1 Solver 2 Processor Parser HVAC Models Industry independent Industry specific Symbolic equation based approach: • Flexibility • Reuse • Secure model investment • Speed?
The experiment Full coupling: m1-2Enthal(T1, H1), m1-2 > 0 q1-2 = m1-2Enthal(T2, H2), m1-2 < 0 “Ping-pong” decoupling: m1-2,oldEnthal(T1, H1), m1-2,old > 0 q1-2 = m1-2,oldEnthal(T2, H2), m1-2,old < 0
Demo Link to demo
Test cases and results case decoupled execution time family apartment two-zone constant air volume (CAV) office with open door - 13% temperature controlled variable air volume (VAV) ditto + 74% single-zone office with natural ventilation + 59% single family, naturally ventilated house
Alternative measures fanout=5 simpl. zone kmax=2, n_jac=4, tol=0.2 no internal LVOs execution time √ - 46% √ √ - 59% √ √ √ - 67% √ √ √ √ - 79% Apartment case:
Summary and conclusions • “Ping-pong” decoupling provided minor improvements for some cases. • It also gave rise to fatal instabilities, making the approach unattractive • A combination of other means proved effective in dealing with the problematic Apartment case • Packaging and automating the application of such means seems to be a viable alternative
Questions and discussion On the effects of decoupling air flow and heat balance in building simulation models Per Sahlin EQUA Simulation AB Stockholm, Sweden www.equa.se