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Development of EUC (End User Computing) System for the Design of HVAC ( Heating, Ventilation and Air Conditioning). O.Yoshida, M.Andou Tokyo Gas Co., Ltd. Contents. Introduction Feature of the EUC system Wide variety of DB (data-base) Original user-subroutines Verification of DB
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Development of EUC (End User Computing) System for the Design of HVAC(Heating, Ventilation and Air Conditioning) O.Yoshida, M.Andou Tokyo Gas Co., Ltd.
Contents • Introduction • Feature of the EUC system • Wide variety of DB (data-base) • Original user-subroutines • Verification of DB • Conclusions
Introduction • CFD methods have become a promising tool to optimise design parameters of HVAC by predicting thermal environment in buildings. • While many advantage are expected, CFD codes still require lots of expertise and time for designers to model and predict indoor environment. • Wider application of CFD has been expected, in particular, to the field of EUC that designers and even sales engineers can easily take advantage of. An EUC system for the optimal design of HVAC has been developed.
Feature of the EUC System • Utilisation of PHOENICS • Flexible pre-processor • Powerful solver • Easy VR post-processor Uniquely customised to predict indoor environment in faster, more accurate and user-friendly manners • Wide variety of DB (data-base) for the analysis of HVAC • Original user-subroutines • Verification of DB
Q1 Q1 A/C DB A/C type Building DB Wide Variety of DB (Data-base) The system incorporated DB compiled during various cases of predictions and experiments. • The DB provides typical specifications of a variety of air-conditioners and buildings as a set of Q1 files. • It also maintains previous Q1 and PHI files as reference, which can be readily upgraded to predict similar problems .
Original User-subroutines • Along with the DB, series of practical user-subroutines have been developed using GROUND. • These user-subroutines are applicable to predict ideal performance and operating conditions of air-conditioning units under desired optimal thermal environment. • Optimisation of input conditions such as efflux temperature is conducted to obtain desired thermal environment in a room.
Z=0.6m Window Office Room Type (Outside of Temp. = 0 C) Original User-subroutines - ExamplePrediction of Optimal Efflux Temp. • Mean temperature at the height of 0.6m for each of perimeter and interior areas needs to be 22℃ to achieve desired thermal environment. Unit_P(Q=9m3/min) Unit_I1(Q=6)Unit_I2(Q=6) Interior (Area_I) Perimeter (Area_P) • Efflux temperatures are separately controlled with reference to respective area temperature.
Start Tm_start=22 C, Tm_end=22 C, Te_start=40 C EARTH Solution Calculate Tm Te Calculate Rlx (Relax. factor) by Residual of NETSOURCE Tm Te=Te+(Tm_end-Tm)*Rlx LSWEEP ? No Yes End Temperatures. vs. Sweep No. Original User-subroutines - ExampleAlgorithm
Efflux temp ≒ 30.6C Efflux temp ≒ 29.8C Center plane of A/C units Mean temp ≒ 22.0C Mean temp ≒ 22.0C Plane at Z=0.6m Original User-subroutines - ExampleTemperature Distributions
Computation Measurement Verification Verification of DB • Prediction accuracy of DB of the system was verified a-priori, by comparing with detailed measurements. • Know-hows to generate a numerical grids have been compiled to secure practical accuracy with minimum calculation time .
Air-Conditioning unit 3D traverse apparatus Schematic Diagram Model Room Verification of DB - ExampleArtificial Climatic Room
Neighboring Temp. = 10 C Air-Conditioning unit Sink Efflux Temp. = 46C Outside of Temp. = 0 C Living Room Type Verification of DB - ExampleHeating Conditions
Numerical Grid Verification of DB - ExampleNumerical Analysis • PHOENICS 3.2 • Steady states • Rectangular grids 38×32×33 = 40128cells • Elliptic-staggered equation • k-epsilon turbulence model • Hybrid differencing schemes • Boussinesq buoyancy model
Measured Computed Verification of DB - Example Center Plane of Air Conditioner
Verification of DB - Example Center Plane of Model Room Measured Computed
● Verification of DB - Example Temperature Profiles
Conclusions • An useful EUC system for the optimal design of HVAC has been developed using PHOENICS. • The system incorporated DB for the analysis of HVAC as a set of Q1 files . • Along with the DB, practical user-subroutines have been developed. • Prediction accuracy of the system was verified a-priori, by comparing with detailed measurements. • Computed result with incorporate DB was in good agreement with measured result.