Research on Solar Resource Evaluation Method Based on Mathematical Statistics

DOI

10.2991/amcce-17.2017.46How to use a DOI?

Keywords

mathematical statistics; resource evaluation; solar energy; principal component analysis.

Abstract

According to the satellite data provided by the US Renewable Energy Laboratory, the datum of solar resources 25 typical cities in China for 29 years were analysed by method of principal component analysis and the whole evaluation of this kind of energy was summarized. The indicators for evaluation of solar energy resources, including richness, stability, utilization value and mean of effective sunshine duration, are incorporated into three main parameters. And the score of principal component is considered as the main factor of the resource evaluation. The evaluation and prediction of solar energy in a region are efficient and accurate by this method, which provide guidance for utilization and development of solar energy.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Mingzhi Zhao
AU  - Xiaobo Kang
AU  - Xu Zhang
AU  - LuLu Zou
PY  - 2017/03
DA  - 2017/03
TI  - Research on Solar Resource Evaluation Method Based on Mathematical Statistics
BT  - Proceedings of the 2017 2nd International Conference on Automation, Mechanical Control and Computational Engineering (AMCCE 2017)
PB  - Atlantis Press
SP  - 263
EP  - 271
SN  - 2352-5401
UR  - https://doi.org/10.2991/amcce-17.2017.46
DO  - 10.2991/amcce-17.2017.46
ID  - Zhao2017/03
ER  -