Abstract
It is important for an architect or a construction manager to easily and accurately estimate the heating and cooling demand of a residential building with a different envelope design in the early design phase. To achieve this objective, this study aimed to develop a nine-node-based Lagrangian finite element model for estimating the heating and cooling demand of a residential building with a different envelope design, which can be useful for an architect or a construction manager in the early design phase. This study was conducted in the following steps: (i) definition of the building envelope design elements; (ii) establishment of a standard database through energy simulation; and (iii) development of a Lagrangian finite element model. The prediction performance of the proposed nine-node-based model was improved in comparison with the four-node-based model. It was concluded that the prediction performance of the proposed nine-node-based model was superior to that of the four-node-based model. For the heating demand, RMSE(9-node, heating) (61.2), MAE(9-node, heating) (45.1), and MAPE(9-node, heating) (1.18%) of the proposed nine-node-based model was lower than that of the four-node-based model (73.9, 53.2, and 1.36%). For the cooling demand, RMSE(9-node, cooling) (71.5), MAE(9-node, cooling) (55.3), and MAPE(9-node, cooling) (8.24%) of the proposed nine-node-based model was lower than that of the four-node-based model (84.1, 61.1, and 8.71%). The series of processes used in this study could be applied to any other energy-saving technique or to a new/renewable energy system. It could also be extended to any other country or sector in the global environment.
| Original language | English |
|---|---|
| Pages (from-to) | 66-79 |
| Number of pages | 14 |
| Journal | Applied Energy |
| Volume | 142 |
| DOIs | |
| Publication status | Published - 2015 Mar 5 |
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All Science Journal Classification (ASJC) codes
- Civil and Structural Engineering
- Energy(all)
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A Lagrangian finite element model for estimating the heating and cooling demand of a residential building with a different envelope design. / Seo, Dong yeon; Koo, Choongwan; Hong, Taehoon.
In: Applied Energy, Vol. 142, 05.03.2015, p. 66-79.Research output: Contribution to journal › Article
TY - JOUR
T1 - A Lagrangian finite element model for estimating the heating and cooling demand of a residential building with a different envelope design
AU - Seo, Dong yeon
AU - Koo, Choongwan
AU - Hong, Taehoon
PY - 2015/3/5
Y1 - 2015/3/5
N2 - It is important for an architect or a construction manager to easily and accurately estimate the heating and cooling demand of a residential building with a different envelope design in the early design phase. To achieve this objective, this study aimed to develop a nine-node-based Lagrangian finite element model for estimating the heating and cooling demand of a residential building with a different envelope design, which can be useful for an architect or a construction manager in the early design phase. This study was conducted in the following steps: (i) definition of the building envelope design elements; (ii) establishment of a standard database through energy simulation; and (iii) development of a Lagrangian finite element model. The prediction performance of the proposed nine-node-based model was improved in comparison with the four-node-based model. It was concluded that the prediction performance of the proposed nine-node-based model was superior to that of the four-node-based model. For the heating demand, RMSE(9-node, heating) (61.2), MAE(9-node, heating) (45.1), and MAPE(9-node, heating) (1.18%) of the proposed nine-node-based model was lower than that of the four-node-based model (73.9, 53.2, and 1.36%). For the cooling demand, RMSE(9-node, cooling) (71.5), MAE(9-node, cooling) (55.3), and MAPE(9-node, cooling) (8.24%) of the proposed nine-node-based model was lower than that of the four-node-based model (84.1, 61.1, and 8.71%). The series of processes used in this study could be applied to any other energy-saving technique or to a new/renewable energy system. It could also be extended to any other country or sector in the global environment.
AB - It is important for an architect or a construction manager to easily and accurately estimate the heating and cooling demand of a residential building with a different envelope design in the early design phase. To achieve this objective, this study aimed to develop a nine-node-based Lagrangian finite element model for estimating the heating and cooling demand of a residential building with a different envelope design, which can be useful for an architect or a construction manager in the early design phase. This study was conducted in the following steps: (i) definition of the building envelope design elements; (ii) establishment of a standard database through energy simulation; and (iii) development of a Lagrangian finite element model. The prediction performance of the proposed nine-node-based model was improved in comparison with the four-node-based model. It was concluded that the prediction performance of the proposed nine-node-based model was superior to that of the four-node-based model. For the heating demand, RMSE(9-node, heating) (61.2), MAE(9-node, heating) (45.1), and MAPE(9-node, heating) (1.18%) of the proposed nine-node-based model was lower than that of the four-node-based model (73.9, 53.2, and 1.36%). For the cooling demand, RMSE(9-node, cooling) (71.5), MAE(9-node, cooling) (55.3), and MAPE(9-node, cooling) (8.24%) of the proposed nine-node-based model was lower than that of the four-node-based model (84.1, 61.1, and 8.71%). The series of processes used in this study could be applied to any other energy-saving technique or to a new/renewable energy system. It could also be extended to any other country or sector in the global environment.
UR - http://www.scopus.com/inward/record.url?scp=84921419419&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84921419419&partnerID=8YFLogxK
U2 - 10.1016/j.apenergy.2014.12.051
DO - 10.1016/j.apenergy.2014.12.051
M3 - Article
AN - SCOPUS:84921419419
VL - 142
SP - 66
EP - 79
JO - Applied Energy
JF - Applied Energy
SN - 0306-2619
ER -