Aras et al.model

Empirical models to estimate the monthly global solar radiation on a horizontal surface for each province are developed. The results obtained have indicated that the models developed here predict solar radiation reasonably well for future projections.

solar radiationcorrelation modelsempirical models

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Initial contribute: 2021-09-09

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Application-focused categoriesNatural-perspectiveAtmospheric regions
Application-focused categoriesIntegrated-perspectiveGlobal scale

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English {{currentDetailLanguage}} English

Quoted from:Aras, Haydar, Balli, et al. Global Solar Radiation Potential, Part 1: Model Development.[J]. Energy Sources Part B: Economics, Planning & Policy, 2006, 1(3):303-315.

https://www.sci-hub.ren/10.1080/15567240500398040

INTRODUCTION

Solar engineers, architects, agriculturists, and hydrologists dealing with many applications of solar energy require a reasonably accurate knowledge about the availability of solar resources at any place. For this purpose, in the past, several empirical correlations have been developed in order to predict the solar radiation around the world. The present study, consisting of two parts, analyzes global solar radiation over the Central Anatolia Region (CAR) of Turkey along with its twelve provinces. In the analysis, the data of the monthly average daily global solar radiation and sunshine duration measured by the Turkish State Meteorological Service in the period from January 1990 to December 1996 are used. Empirical models to estimate the monthly global solar radiation on a horizontal surface for each province are developed. The results obtained have indicated that the models developed here predict solar radiation reasonably well for future projections.

The main objective of this study is to develop empirical models to predict the monthly average daily global solar radiation over twelve provinces in the Central Anatolia Region(CAR) of Turkey and to compare calculated values obtained from developed models with data measured by the Turkish State Meteorological Service (DMI) based on the various statistical methods.

Aras et al. proposed the following linear equation for twelve provinces in the Central Anatolia Region of Turkey:

\( 𝐻/𝐻_0 = 0.3078 + 0.4166 𝑆/𝑆_0 . \)

Aras et al. also proposed the following second- and third-order equations for twelve provinces in the Central Anatolia Region of Turkey:

\( H/H_0 = 0.3398 + 0.2868S/S_0 + 0.1187(S/S_0)^2, \)

\( 𝐻/𝐻_0= 0.4832 − 0.6161S/S_0 + 1.8932(S/S_0)^2 − 1.0975(S/S_0)^3. \)

In this present study, statistically signifificant linear, quadratic, and cubic polynomial models were developed for each province to estimate the monthly average daily global solar radiation over twelve provinces in the CAR of Turkey based on measured data obtained from the DMI. In addition, the general linear, quadratic, and cubic polynomial models were derived for the CAR. The results obtained from the statistical analysis have indicated that the three models suggested for the CAR were more suitable for predicting the monthly average daily global solar radiation over all provinces in the CAR. 

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Haydar Aras, Ozgur Balli (2021). Aras et al.model, Model Item, OpenGMS, https://geomodeling.njnu.edu.cn/modelItem/8ee6eba7-67d2-4482-9851-2a4ae89671dc
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Initial contribute : 2021-09-09

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