Applied Energy, 215, 41-53 , Elsevier). (PolyU)
Environment|구충완
Improving the prediction performance of the finite element model for estimating the technical performance of the distributed generation of solar power system in a building façade
2018International Journals
Research AreaEnvironment
Professor구충완
AuthorsKoo, C., Hong, T., Oh, J., and Choi, J
Publication Year2018
Journal (Volume, Issue, Pages)Applied Energy, 215, 41-53 , Elsevier). (PolyU)
AbstractAs interest in the distributed generation of solar power system in a building façade continues to increase, its technical performance (i.e. the amount of electricity generation) should be carefully investigated before its implementation. In this regard, this study aimed to develop the nine-node-based finite element model for estimating the technical performance of the distributed generation of solar power system in a building façade (FEM9-node), focusing on the improvement of the prediction performance. The developed model (FEM9-node) was proven to be superior to the four-node-based model (FEM4-node), which was developed in the previous study, in terms of both prediction accuracy and standard deviation. In other words, the prediction accuracy (3.55%) and standard deviation (2.93%) of the developed model (FEM9-node) was determined to be superior to those of the previous model (FEM4-node) (i.e. 4.54% and 4.39%, respectively). The practical application was carried out to enable a decision maker (e.g. construction manager, facility manager) to understand how the developed model works in a clear way. It is expected that the developed model (FEM9-node) can be used in the early design phase in an easy way within a short time. In addition, it could be extended to any other countries in a global environment.
Distributed Generation of Solar Power SystemBuilding-Integrated Photovoltaic BlindFinite Element MethodPrediction PerformanceNonlinearity Analysis