Analysis of Energy Consumption and Indoor Temperature Distributions in Educational Facility Based on CFD-BES Model

Taehoon Hong, Myeonghwi Lee, Jimin Kim

Research output: Contribution to journalConference articlepeer-review

8 Citations (Scopus)


To facilitate an increase in comfortable and healthy indoor environments, a lot of people have researched and conducted studies related to this field. However, it has proven difficult to find optimal indoor conditions because each of the elements that make up the thermal environment has different properties. Natural ventilation is an important factor in meeting and creating the thermal environment as well as improved indoor air quality. Moreover, the continuation of efforts to reduce energy consumption in buildings is also required from the design stage due to the depletion of energy resource and global warming. Therefore, this study aims to provide a material of natural ventilation for educational facilities by calculating the energy consumption of a classroom in accordance with indoor temperature distributions in summer. A target educational facility with classrooms was selected in Seoul, Republic of Korea. This study assumed that the classroom windows were fully opened and were then analyzed for indoor temperature distributions and energy consumption according to natural ventilation. In addition, the simulation was conducted based on the actual daily schedule in the school. The results were achieved by utilizing the Computer fluid dynamics simulation and Building energy simulation. This paper will be the basis of research related to occupant behavior and patterns indoors.

Original languageEnglish
Pages (from-to)3705-3710
Number of pages6
JournalEnergy Procedia
Publication statusPublished - 2017
Event8th International Conference on Applied Energy, ICAE 2016 - Beijing, China
Duration: 2016 Oct 82016 Oct 11

Bibliographical note

Publisher Copyright:
© 2017 The Authors. Published by Elsevier Ltd.

All Science Journal Classification (ASJC) codes

  • Energy(all)


Dive into the research topics of 'Analysis of Energy Consumption and Indoor Temperature Distributions in Educational Facility Based on CFD-BES Model'. Together they form a unique fingerprint.

Cite this