کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6680562 1428075 2018 13 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
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
موضوعات مرتبط
مهندسی و علوم پایه مهندسی انرژی مهندسی انرژی و فناوری های برق
پیش نمایش صفحه اول مقاله
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
چکیده انگلیسی
As 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.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Applied Energy - Volume 215, 1 April 2018, Pages 41-53
نویسندگان
, , , ,