TY - GEN
T1 - Inverse design of indoor environment using an adjoint RNG k-ϵ turbulence model
AU - Zhao, Xingwang
AU - Chen, Qingyan
N1 - Publisher Copyright:
© 2019 by International Building Performance Simulation Association (IBPSA) All rights reserved.
PY - 2019
Y1 - 2019
N2 - The adjoint method can determine design variables of an indoor environment according to the optimal design objective, such as minimal predicted mean vote (PMV) for thermal comfort. The method calculates the gradient of the objective function over the design variables so that the objective function can be minimized along the fastest direction using an optimization algorithm. Since the objective function is controlled by the Reynolds-averaged Navier-Stokes (RANS) equations with the RNG k-8 model during the optimization process, all the corresponding adjoint equations should be solved, rather than the "frozen turbulence" assumption used in previous studies. This investigation developed adjoint equations for the RNG k-8 turbulence model and applied it to a three-dimensional, two-person office. Design processes with the adjoint RNG k-8 turbulence model led to a near-zero design function, while the case with the "frozen turbulence" assumption did not. This investigation has successfully used the new method to design a two-person office with optimal thermal comfort level around the two occupants.
AB - The adjoint method can determine design variables of an indoor environment according to the optimal design objective, such as minimal predicted mean vote (PMV) for thermal comfort. The method calculates the gradient of the objective function over the design variables so that the objective function can be minimized along the fastest direction using an optimization algorithm. Since the objective function is controlled by the Reynolds-averaged Navier-Stokes (RANS) equations with the RNG k-8 model during the optimization process, all the corresponding adjoint equations should be solved, rather than the "frozen turbulence" assumption used in previous studies. This investigation developed adjoint equations for the RNG k-8 turbulence model and applied it to a three-dimensional, two-person office. Design processes with the adjoint RNG k-8 turbulence model led to a near-zero design function, while the case with the "frozen turbulence" assumption did not. This investigation has successfully used the new method to design a two-person office with optimal thermal comfort level around the two occupants.
UR - http://www.scopus.com/inward/record.url?scp=85107500201&partnerID=8YFLogxK
M3 - Conference article published in proceeding or book
AN - SCOPUS:85107500201
T3 - Building Simulation Conference Proceedings
SP - 798
EP - 804
BT - 16th International Conference of the International Building Performance Simulation Association, Building Simulation 2019
A2 - Corrado, Vincenzo
A2 - Fabrizio, Enrico
A2 - Gasparella, Andrea
A2 - Patuzzi, Francesco
PB - International Building Performance Simulation Association
T2 - 16th International Conference of the International Building Performance Simulation Association, Building Simulation 2019
Y2 - 2 September 2019 through 4 September 2019
ER -