Earticle

초록

영어

In this paper, I researched about proper classification to increase solar generation efficiency with rooftop PV panels. Solar energy efficiency calculation was limited to the individual’s uses. However, Solar energy’s demands are increasing, we need to city level presumption. In this classification, modeling process was based on Busan. To reduce mistakes, this model’s generation data was made by the average of 2019 data. Python was used for the calculation and modeling process. However, I could not find the area of building from its various type. Hence, I supposed that the area of buildings is maximum in its limitation. Therefore, this model can be different in a real situation. Moreover, this research shows that limitation of building to maximize solar generation quantity can not influence much in solar generation quantity. I think it is because Building Acts provides enough sunshine to houses. Presumptions show that the smaller scale of generation was more profitable than the larger one. Furthermore, estimating solar grids is complex. Therefore, I estimated solar grids with less complexity.

목차

ABSTRACT
1. INTRODUCTION
2. MATERIALS AND METHOD
2.1. Preparation of data
2.2. Summary of model
2.3. Making a model
3. RESULTS
3.1. Planned city
3.2. Normal city
4. DISCUSSION
5. CONCLUSION
6. ACKNOWLEDGEMENTS
7. REFERENCES
8. ANNEX

키워드

저자

• Seung Gyun JEONG [ Myeongho High School (Secondary) ] Corresponding author

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  APEC Youth Scientist Journal [APEC 청소년 과학학술지]

• 간기

  반년간

• pISSN

  2005-5625

• 수록기간

  2009~2022

• 십진분류

  KDC 405 DDC 505