New design method for energy slabs in underground space using artificial neural network

S. Lee, D. Kim, Hangseok Choi, K. Oh, S. Park

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish
Title of host publicationTunnels and Underground Cities
Subtitle of host publicationEngineering and Innovation meet Archaeology, Architecture and Art- Proceedings of the WTC 2019 ITA-AITES World Tunnel Congress
EditorsGiulia Viggiani, Tarcisio Celestino, Daniele Peila, Giulia Viggiani
PublisherCRC Press/Balkema
Pages2463-2472
Number of pages10
ISBN (Print)9781138388659
DOIs
Publication statusPublished - 2019 Jan 1
EventWorld Tunnel Congress, WTC 2019 and the 45th General Assembly of the International Tunnelling and Underground Space Association, ITA-AITES 2019 - Naples, Italy
Duration: 2019 May 32019 May 9

Publication series

NameTunnels and Underground Cities: Engineering and Innovation meet Archaeology, Architecture and Art- Proceedings of the WTC 2019 ITA-AITES World Tunnel Congress

Conference

ConferenceWorld Tunnel Congress, WTC 2019 and the 45th General Assembly of the International Tunnelling and Underground Space Association, ITA-AITES 2019
CountryItaly
CityNaples
Period19/5/319/5/9

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Geotechnical Engineering and Engineering Geology
  • Building and Construction

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  • Cite this

    Lee, S., Kim, D., Choi, H., Oh, K., & Park, S. (2019). New design method for energy slabs in underground space using artificial neural network. In G. Viggiani, T. Celestino, D. Peila, & G. Viggiani (Eds.), Tunnels and Underground Cities: Engineering and Innovation meet Archaeology, Architecture and Art- Proceedings of the WTC 2019 ITA-AITES World Tunnel Congress (pp. 2463-2472). (Tunnels and Underground Cities: Engineering and Innovation meet Archaeology, Architecture and Art- Proceedings of the WTC 2019 ITA-AITES World Tunnel Congress). CRC Press/Balkema. https://doi.org/10.1201/9780429424441-261