Distribution of solar diffuse fraction in Taiwan

Chia Wei Kuo, Wen Chey Chang, Keh-Chin Chang

Research output: Contribution to journalConference article

1 Citation (Scopus)

Abstract

A simple polynomial model of the sky clearness index as predictor was proposed in this paper, for estimating the hourly solar diffuse fractions in Taiwan. The error analysis was performed through two statistical indicators, the mean bias error and the root-mean-square error. The out of database validation was also made to confirm the model generality. Next, regressions between monthly averaged conditions and geographical parameters of places (latitude, longitude, and elevation above sea level) were discussed, using the model's estimates and the updated data sets of typical solar radiation year. Based on the results, diffuse fraction maps for two observation periods were presented in 1-km resolution via an aid of linear interpolation.

Original languageEnglish
Pages (from-to)1120-1129
Number of pages10
JournalEnergy Procedia
Volume57
DOIs
Publication statusPublished - 2014 Jan 1
Event2013 ISES Solar World Congress, SWC 2013 - Cancun, Mexico
Duration: 2013 Nov 32013 Nov 7

Fingerprint

Sea level
Solar radiation
Mean square error
Error analysis
Interpolation
Statistical Models

All Science Journal Classification (ASJC) codes

  • Energy(all)

Cite this

Kuo, Chia Wei ; Chang, Wen Chey ; Chang, Keh-Chin. / Distribution of solar diffuse fraction in Taiwan. In: Energy Procedia. 2014 ; Vol. 57. pp. 1120-1129.
@article{13a198c04bbe401e895823c2567e480e,
title = "Distribution of solar diffuse fraction in Taiwan",
abstract = "A simple polynomial model of the sky clearness index as predictor was proposed in this paper, for estimating the hourly solar diffuse fractions in Taiwan. The error analysis was performed through two statistical indicators, the mean bias error and the root-mean-square error. The out of database validation was also made to confirm the model generality. Next, regressions between monthly averaged conditions and geographical parameters of places (latitude, longitude, and elevation above sea level) were discussed, using the model's estimates and the updated data sets of typical solar radiation year. Based on the results, diffuse fraction maps for two observation periods were presented in 1-km resolution via an aid of linear interpolation.",
author = "Kuo, {Chia Wei} and Chang, {Wen Chey} and Keh-Chin Chang",
year = "2014",
month = "1",
day = "1",
doi = "10.1016/j.egypro.2014.10.098",
language = "English",
volume = "57",
pages = "1120--1129",
journal = "Energy Procedia",
issn = "1876-6102",
publisher = "Elsevier BV",

}

Distribution of solar diffuse fraction in Taiwan. / Kuo, Chia Wei; Chang, Wen Chey; Chang, Keh-Chin.

In: Energy Procedia, Vol. 57, 01.01.2014, p. 1120-1129.

Research output: Contribution to journalConference article

TY - JOUR

T1 - Distribution of solar diffuse fraction in Taiwan

AU - Kuo, Chia Wei

AU - Chang, Wen Chey

AU - Chang, Keh-Chin

PY - 2014/1/1

Y1 - 2014/1/1

N2 - A simple polynomial model of the sky clearness index as predictor was proposed in this paper, for estimating the hourly solar diffuse fractions in Taiwan. The error analysis was performed through two statistical indicators, the mean bias error and the root-mean-square error. The out of database validation was also made to confirm the model generality. Next, regressions between monthly averaged conditions and geographical parameters of places (latitude, longitude, and elevation above sea level) were discussed, using the model's estimates and the updated data sets of typical solar radiation year. Based on the results, diffuse fraction maps for two observation periods were presented in 1-km resolution via an aid of linear interpolation.

AB - A simple polynomial model of the sky clearness index as predictor was proposed in this paper, for estimating the hourly solar diffuse fractions in Taiwan. The error analysis was performed through two statistical indicators, the mean bias error and the root-mean-square error. The out of database validation was also made to confirm the model generality. Next, regressions between monthly averaged conditions and geographical parameters of places (latitude, longitude, and elevation above sea level) were discussed, using the model's estimates and the updated data sets of typical solar radiation year. Based on the results, diffuse fraction maps for two observation periods were presented in 1-km resolution via an aid of linear interpolation.

UR - http://www.scopus.com/inward/record.url?scp=84922319589&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84922319589&partnerID=8YFLogxK

U2 - 10.1016/j.egypro.2014.10.098

DO - 10.1016/j.egypro.2014.10.098

M3 - Conference article

AN - SCOPUS:84922319589

VL - 57

SP - 1120

EP - 1129

JO - Energy Procedia

JF - Energy Procedia

SN - 1876-6102

ER -