TY - GEN
T1 - New design method for energy slabs in underground space using artificial neural network
AU - Lee, S.
AU - Kim, D.
AU - Choi, H.
AU - Oh, K.
AU - Park, S.
N1 - Funding Information:
This research was supported by National Research Foundation of Korea Government (NRF-2014R1A2A2A01007883) and by Korea institute of Energy Technology Evaluation and Planning (KETEP), Ministry of Knowledge Economy (No. 20153030111110).
Funding Information:
This research was supported by National Research Foundation of Korea Government (NRF2014R1A2A2A01007883) and by Korea institute of Energy Technology Evaluation and Planning (KETEP), Ministry of Knowledge Economy (No. 20153030111110).
Publisher Copyright:
© 2019 Taylor & Francis Group, London.
PY - 2019
Y1 - 2019
N2 - The energy slab is a ground-coupled heat exchanger consisting of the horizontal ground heat exchanger (HGHE). The energy slab is installed as one component of the floor slab layers to utilize the underground structure as a hybrid energy structure. In this study, a design method for energy slabs using the artificial neural network (ANN) is proposed. Before establishing the design method, it is necessary to accurately identify system parameters that may affect the thermal performance of energy slabs. Therefore, the effect of system parameters on the thermal performance of energy slabs was investigated by numerical analysis for ideal conditions. Then, a set of databases constructed through the numerical analysis was implemented by the ANN. From this approach, the thermal performance of energy slabs for a typical condition can be quickly predicted without time-consuming numerical simulations.
AB - The energy slab is a ground-coupled heat exchanger consisting of the horizontal ground heat exchanger (HGHE). The energy slab is installed as one component of the floor slab layers to utilize the underground structure as a hybrid energy structure. In this study, a design method for energy slabs using the artificial neural network (ANN) is proposed. Before establishing the design method, it is necessary to accurately identify system parameters that may affect the thermal performance of energy slabs. Therefore, the effect of system parameters on the thermal performance of energy slabs was investigated by numerical analysis for ideal conditions. Then, a set of databases constructed through the numerical analysis was implemented by the ANN. From this approach, the thermal performance of energy slabs for a typical condition can be quickly predicted without time-consuming numerical simulations.
UR - http://www.scopus.com/inward/record.url?scp=85068368571&partnerID=8YFLogxK
U2 - 10.1201/9780429424441-261
DO - 10.1201/9780429424441-261
M3 - Conference contribution
AN - SCOPUS:85068368571
SN - 9781138388659
T3 - Tunnels and Underground Cities: Engineering and Innovation meet Archaeology, Architecture and Art- Proceedings of the WTC 2019 ITA-AITES World Tunnel Congress
SP - 2463
EP - 2472
BT - Tunnels and Underground Cities
A2 - Peila, Daniele
A2 - Viggiani, Giulia
A2 - Viggiani, Giulia
A2 - Celestino, Tarcisio
PB - CRC Press/Balkema
T2 - World Tunnel Congress, WTC 2019 and the 45th General Assembly of the International Tunnelling and Underground Space Association, ITA-AITES 2019
Y2 - 3 May 2019 through 9 May 2019
ER -