Simultaneous solutions of coupled thermal airflow problem for natural ventilation in buildings

Natural and hybrid ventilation can be sustainable building ventilation strategies, where airflow is driven naturally by thermal buoyancy and/or wind forces other than pure mechanical means. The simulation and design of these systems need to consider the combined impact of thermal and airflow transport behaviors. The numerical solution of such combined thermal airflow problems often employs a segregate and iterative approach. Either the air temperatures in the thermal problem or the air pressures in the airflow problem are solved separately with the other parameter known from a previous iteration. The newly solved parameters are then substituted successively into the other calculation. For highly coupled thermal airflow problems, the segregate method can cause solution fluctuation or even divergence when relaxation factors are not carefully selected to avoid abrupt changes of air parameters in the successive substitution procedure. This article investigated two nonsegregate methods to solve thermal and airflow problems simultaneously. In the fully simultaneous method, air temperatures and pressures for all rooms of a building are solved simultaneously using a single Jacobian matrix. In the semi-simultaneous method, a Jacobian matrix for the air temperature and pressure of one room is solved when air temperatures and pressures of other rooms are kept as constants. The same procedure is then repeated for each room of a building. In both cases, relaxation factors are not required. The simultaneous solution methods are demonstrated for a two-zone building with thermal buoyancy-driven flows and validated for an experimental study of combined wind and buoyancy forces in a light well. It was shown that the simultaneous solvers provide stable solutions without using any relaxation in both cases. The predicted results also agree reasonably well with the experimental data.

[1]  G. Walton Airflow and multiroom thermal analysis , 1982 .

[2]  Helmut E. Feustel COMIS—an international multizone air-flow and contaminant transport model , 1999 .

[3]  Daniel E. Fisher,et al.  EnergyPlus: creating a new-generation building energy simulation program , 2001 .

[4]  Satish P. Ketkar Iterative and direct solution methods in thermal network solvers , 1993 .

[5]  Francis Allard,et al.  Solution methods for the air balance in multizone buildings , 1992 .

[6]  James W. Axley,et al.  Modeling the Performance of a Naturally Ventilated Commercial Building With a Multizone Coupled Thermal/Airflow Simulation Tool. | NIST , 2002 .

[7]  Toshio Yamanaka,et al.  Natural ventilation of light well in high-rise apartment building , 2003 .

[8]  C. Ghiaus,et al.  Natural ventilation in the urban environment : assessment and design , 2005 .

[9]  Paulo Smith Schneider,et al.  Strategies for solving the air flow—Thermal problem in multiroom buildings , 1995 .

[10]  Steven J. Emmerich,et al.  Integration of Airflow and Energy Simulation Using CONTAM and TRNSYS | NIST , 2003 .

[11]  Viktor Dorer,et al.  A NEW TOOL FOR THE MODELLING OF HEAT , AIR AND POLLUTANT TRANSPORT IN BUILDINGS WITHIN TRNSYS , 2003 .

[12]  Russell D. Taylor,et al.  LINKING THE COMIS MULTI-ZONE AIRFLOW MODEL WITH THE ENERGYPLUS BUILDING ENERGY SIMULATION PROGRAM , 1999 .

[13]  Lixing Gu,et al.  AIRFLOW NETWORK MODELING IN ENERGYPLUS , 2007 .

[14]  Lars Broman,et al.  TRNSYS The most complete solar energy system modeling and simulation software , 1994 .

[15]  Mary-Hall D. Johnson,et al.  Assess and implement natural and hybrid ventilation models in whole-building energy simulations , 2010 .