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2025 Vol.19, Issue 2 Preview Page

Research Article

Feasibility Study on a Direct Normal Irradiance Estimation Model Based on Multi-Directional Global Irradiance

다방향 전일사량 기반 법선면 직달일사량 예측 모델의 적용성 연구

Woo-Min Lee1
,
Dong-Seok Lee2*
이 우민1
,
이 동석2*
1Master’s Course Student, Department of Architecture, Keimyung University, Daegu, Korea
2Assistant Professor, Department of Architectural Engineering, Keimyung University, Daegu, Korea
1계명대학교 대학원 건축학과 석사과정
2계명대학교 건축공학전공 조교수, 공학박사
*Corresponding Author
30 April 2025. pp. 64-77
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Abstract

This study proposes a novel method for efficiently predicting DNI (Direct Normal Irradiance), a critical factor in solar power planning and building energy management. This study develops a DNN (Deep Neural Network) model to predict DNI based on global irradiance data measured on five surfaces: four vertical surfaces (East, West, South, North) and the horizontal surface (Top). The DNN model is designed to accurately predict solar irradiance without requiring pre-calculation of solar positions, thereby enhancing its applicability. The evaluation results showed that the predicted values closely matched the reference values not only across various domestic regions but also in international locations within a latitude range of ±20° from the reference site. In particular, when the model was trained on a specific domestic region and applied to ten different locations within Korea, it achieved RMSE values ranging from 3.6 to 7.2, demonstrating stable predictive performance. Future research will focus on validating the model using actual DNI measurements.

Keywords
일사계
법선면 직달일사
직산분리 모델
다방향 일사량
키워드
Pyranometer
Direct Normal Irradiance (DNI)
Decomposition Model
Multi- directional irradiance
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Information
  • Publisher :Korean Institute of Architectural Sustainable Environment and Building Systems
  • Publisher(Ko) :한국건축친환경설비학회
  • Journal Title :Journal of Korean Institute of Architectural Sustainable Environment and Building Systems
  • Journal Title(Ko) :한국건축친환경설비학회논문집
  • Volume : 19
  • No :2
  • Pages :64-77
  • Received Date : 2025-03-11
  • Revised Date : 2025-03-22
  • Accepted Date : 2025-03-26
  • DOI :https://doi.org/10.22696/jkiaebs.20250007
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