ANN usefulness in building enhanced with PCM: Efficacy of PCM installation location. (1st October 2022)
- Record Type:
- Journal Article
- Title:
- ANN usefulness in building enhanced with PCM: Efficacy of PCM installation location. (1st October 2022)
- Main Title:
- ANN usefulness in building enhanced with PCM: Efficacy of PCM installation location
- Authors:
- Hai, Tao
Said, Nejla Mahjoub
Zain, Jasni Mohamad
Sajadi, S. Mohammad
Mahmoud, Mustafa Z.
Aybar, Hikmet Ş. - Abstract:
- Abstract: The building walls are composed of several layers to protect the building from temperature fluctuations of the external environment. Increasing the number of layers in a building certainly strengthens the wall's ability to reduce heat transfer. But on the other hand, it increases the thickness of the walls and thus reduces the useful floor area of the building, which has no economic reason. In this study, the effect of reinforcing building walls against heat transfer using PCM was discussed. At constant PCM thickness, the installation location of this material varies from the outermost to the innermost. At the best location, the installation of PCM inside the wall/roof resulted in energy savings by 14.9 k W h m w a l l 2 19.6 k W h m r o o f 2 and taking into account their area, for the whole building, energy-saving was 15.9 k W h m r o o f 2 + m w a l l 2 . The effectiveness of ANN on PCM applications was amazing. Annual energy consumption for the building is 64.236 k W h m 2 . The neural network, by establishing a connection between the data predicts the annual energy consumption of 64.209 k W h m 2 . Therefore, the error was less than 0.04%. The monthly analysis also shows that for monthly EC, the error was less than 1.5%. Highlights: The effects of reinforcing building walls against heat transfer using PCM were discussed. The installation location of this material varies from the outermost to the innermost. Using PCM inside the wall/roof resulted in energyAbstract: The building walls are composed of several layers to protect the building from temperature fluctuations of the external environment. Increasing the number of layers in a building certainly strengthens the wall's ability to reduce heat transfer. But on the other hand, it increases the thickness of the walls and thus reduces the useful floor area of the building, which has no economic reason. In this study, the effect of reinforcing building walls against heat transfer using PCM was discussed. At constant PCM thickness, the installation location of this material varies from the outermost to the innermost. At the best location, the installation of PCM inside the wall/roof resulted in energy savings by 14.9 k W h m w a l l 2 19.6 k W h m r o o f 2 and taking into account their area, for the whole building, energy-saving was 15.9 k W h m r o o f 2 + m w a l l 2 . The effectiveness of ANN on PCM applications was amazing. Annual energy consumption for the building is 64.236 k W h m 2 . The neural network, by establishing a connection between the data predicts the annual energy consumption of 64.209 k W h m 2 . Therefore, the error was less than 0.04%. The monthly analysis also shows that for monthly EC, the error was less than 1.5%. Highlights: The effects of reinforcing building walls against heat transfer using PCM were discussed. The installation location of this material varies from the outermost to the innermost. Using PCM inside the wall/roof resulted in energy savings by 14.9 kWh m wall 2 19.6 kWh m roof 2 For the whole building, energy-saving was 15.9 kWh m roof 2 + m wall 2 owing to PCM installation in building. … (more)
- Is Part Of:
- Journal of building engineering. Volume 57(2022)
- Journal:
- Journal of building engineering
- Issue:
- Volume 57(2022)
- Issue Display:
- Volume 57, Issue 2022 (2022)
- Year:
- 2022
- Volume:
- 57
- Issue:
- 2022
- Issue Sort Value:
- 2022-0057-2022-0000
- Page Start:
- Page End:
- Publication Date:
- 2022-10-01
- Subjects:
- PCM -- Insulation -- Building -- Energy-saving
Building -- Periodicals
690.05 - Journal URLs:
- http://www.sciencedirect.com/science/journal/23527102 ↗
http://www.sciencedirect.com/ ↗ - DOI:
- 10.1016/j.jobe.2022.104914 ↗
- Languages:
- English
- ISSNs:
- 2352-7102
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 22871.xml