Simulation-based analysis of optimized PCM to improve building energy performance and indoor thermal environment

Ji Hun Park, Seunghwan Wi, Beom Yeol Yun, Sungwoong Yang, Jongki Lee, Sumin Kim

Research output: Contribution to journalConference article

Abstract

The objective of this paper is to evaluate the optimized PCM melting temperature installed in the building models by DesignBuilder and analyze the building energy performance depending on the different climate conditions in South Korea. The building model was followed the residential construction standard house established by the Korea Rural Community Corporation. The total floor area of building is 41.92 m2, and the window-To-wall ratio is 30 %. The HVAC conditions were set to "simple HVAC" which is the basic load calculation algorithms to minimize the heating and cooling loads. Set-point temperatures set to the comfort temperature range, and set-back temperatures are based on the recommendation of the Ministry of Trade, Industry, and Energy of South Korea (MOTIE). The climate conditions to evaluate the simulation analysis were based on the Köppen-Geiger climate classification, which classifies the general climate of the world depending on temperature and precipitation. As a result of the simulation analysis, the maximum energy savings were shown by PCM with melting point of (22.39-24.47)°C in cooling, and PCM with (19.73-21.38) °C in heating. Consequently, the maximum total energy savings were achieved for PCM with (22.39-24.47) °C, which means that the best optimized PCM according to the four seasons.

Original languageEnglish
Article number042056
JournalIOP Conference Series: Materials Science and Engineering
Volume609
Issue number4
DOIs
Publication statusPublished - 2019 Oct 23
Event10th International Conference on Indoor Air Quality, Ventilation and Energy Conservation in Buildings, IAQVEC 2019 - Bari, Italy
Duration: 2019 Sep 52019 Sep 7

Fingerprint

Pulse code modulation
Melting point
Energy conservation
Cooling
Heating
Temperature
Industry
Hot Temperature
HVAC

All Science Journal Classification (ASJC) codes

  • Materials Science(all)
  • Engineering(all)

Cite this

@article{cfeac5bcdd4a4808aef73824742f7ca8,
title = "Simulation-based analysis of optimized PCM to improve building energy performance and indoor thermal environment",
abstract = "The objective of this paper is to evaluate the optimized PCM melting temperature installed in the building models by DesignBuilder and analyze the building energy performance depending on the different climate conditions in South Korea. The building model was followed the residential construction standard house established by the Korea Rural Community Corporation. The total floor area of building is 41.92 m2, and the window-To-wall ratio is 30 {\%}. The HVAC conditions were set to {"}simple HVAC{"} which is the basic load calculation algorithms to minimize the heating and cooling loads. Set-point temperatures set to the comfort temperature range, and set-back temperatures are based on the recommendation of the Ministry of Trade, Industry, and Energy of South Korea (MOTIE). The climate conditions to evaluate the simulation analysis were based on the K{\"o}ppen-Geiger climate classification, which classifies the general climate of the world depending on temperature and precipitation. As a result of the simulation analysis, the maximum energy savings were shown by PCM with melting point of (22.39-24.47)°C in cooling, and PCM with (19.73-21.38) °C in heating. Consequently, the maximum total energy savings were achieved for PCM with (22.39-24.47) °C, which means that the best optimized PCM according to the four seasons.",
author = "{Hun Park}, Ji and Seunghwan Wi and {Yeol Yun}, Beom and Sungwoong Yang and Jongki Lee and Sumin Kim",
year = "2019",
month = "10",
day = "23",
doi = "10.1088/1757-899X/609/4/042056",
language = "English",
volume = "609",
journal = "IOP Conference Series: Materials Science and Engineering",
issn = "1757-8981",
publisher = "IOP Publishing Ltd.",
number = "4",

}

Simulation-based analysis of optimized PCM to improve building energy performance and indoor thermal environment. / Hun Park, Ji; Wi, Seunghwan; Yeol Yun, Beom; Yang, Sungwoong; Lee, Jongki; Kim, Sumin.

In: IOP Conference Series: Materials Science and Engineering, Vol. 609, No. 4, 042056, 23.10.2019.

Research output: Contribution to journalConference article

TY - JOUR

T1 - Simulation-based analysis of optimized PCM to improve building energy performance and indoor thermal environment

AU - Hun Park, Ji

AU - Wi, Seunghwan

AU - Yeol Yun, Beom

AU - Yang, Sungwoong

AU - Lee, Jongki

AU - Kim, Sumin

PY - 2019/10/23

Y1 - 2019/10/23

N2 - The objective of this paper is to evaluate the optimized PCM melting temperature installed in the building models by DesignBuilder and analyze the building energy performance depending on the different climate conditions in South Korea. The building model was followed the residential construction standard house established by the Korea Rural Community Corporation. The total floor area of building is 41.92 m2, and the window-To-wall ratio is 30 %. The HVAC conditions were set to "simple HVAC" which is the basic load calculation algorithms to minimize the heating and cooling loads. Set-point temperatures set to the comfort temperature range, and set-back temperatures are based on the recommendation of the Ministry of Trade, Industry, and Energy of South Korea (MOTIE). The climate conditions to evaluate the simulation analysis were based on the Köppen-Geiger climate classification, which classifies the general climate of the world depending on temperature and precipitation. As a result of the simulation analysis, the maximum energy savings were shown by PCM with melting point of (22.39-24.47)°C in cooling, and PCM with (19.73-21.38) °C in heating. Consequently, the maximum total energy savings were achieved for PCM with (22.39-24.47) °C, which means that the best optimized PCM according to the four seasons.

AB - The objective of this paper is to evaluate the optimized PCM melting temperature installed in the building models by DesignBuilder and analyze the building energy performance depending on the different climate conditions in South Korea. The building model was followed the residential construction standard house established by the Korea Rural Community Corporation. The total floor area of building is 41.92 m2, and the window-To-wall ratio is 30 %. The HVAC conditions were set to "simple HVAC" which is the basic load calculation algorithms to minimize the heating and cooling loads. Set-point temperatures set to the comfort temperature range, and set-back temperatures are based on the recommendation of the Ministry of Trade, Industry, and Energy of South Korea (MOTIE). The climate conditions to evaluate the simulation analysis were based on the Köppen-Geiger climate classification, which classifies the general climate of the world depending on temperature and precipitation. As a result of the simulation analysis, the maximum energy savings were shown by PCM with melting point of (22.39-24.47)°C in cooling, and PCM with (19.73-21.38) °C in heating. Consequently, the maximum total energy savings were achieved for PCM with (22.39-24.47) °C, which means that the best optimized PCM according to the four seasons.

UR - http://www.scopus.com/inward/record.url?scp=85074407505&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85074407505&partnerID=8YFLogxK

U2 - 10.1088/1757-899X/609/4/042056

DO - 10.1088/1757-899X/609/4/042056

M3 - Conference article

AN - SCOPUS:85074407505

VL - 609

JO - IOP Conference Series: Materials Science and Engineering

JF - IOP Conference Series: Materials Science and Engineering

SN - 1757-8981

IS - 4

M1 - 042056

ER -