Contribution to the Quantification of Solar Radiation in Algeria

Nia, M.; Chegaar, M.; Benatallah, M.F.; Aillerie, Michel

doi:10.1016/j.egypro.2013.07.085

Cited by 29 publications

(13 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Following a similar approach, the present study focuses on the regression analysis of these meteorological factors and extends to the non-linear impact of multivariate models which include variations of these parameters. Extensive studies were published to detail the non-linear analysis of GSR estimation models across various countries in the world [37][38][39][40][41][42].…”

Section: Mean Bias Error (Mbe) and Mean Absolute Bias Error (Mabe)mentioning

confidence: 99%

Non-linear multivariate models for the estimation of global solar radiation received across five cities in South Africa

Govindasamy

Chetty

2019

J. energy South. Afr.

View full text Add to dashboard Cite

South Africa continues to lag globally in the adoption of renewable energy systems despite a notable decrease in the cost of applicable renewable energy technologies over the past five years. Most applications of potential solar renewable energy systems are currently in various stages of investigation, leaving this readily accessible resource capacity idle. The present study proposes linear and non-linear analysis of multivariate models for estimating global solar radiation (GSR) received across five cities in South Africa. The significance of this study is to provide effective GSR estimation in the application of solar technologies, while increasing their implementation. The dependency of GSR on meteorological variables such as air temperature, relative humidity and relative sunshine duration was evaluated for January 2007 to June 2018 to realise estimation models for each of the study sites. The Hargreaves-Samani and Angstrom-Prescott empirical models served as the basis for single variable analysis of GSR reliance on each meteorological parameter and their relative variations. The results indicated that the proposed non-linear, multivariate equations perform better than the empirical models as well as linear, single variable regression equations. The suggested models are site-specific and demonstrate a strong correlation to historic GSR values with low, acceptable error indicators. It was also recognised that second-and third-order relationships between the clearness index and multiple meteorological variables provide a more accurate description of GSR for most of the cities under study. These methods are cost-effective, easily accessible and appropriate for the evaluation of the feasibility of solar photovoltaic technologies in South Africa.

show abstract

Section: Mean Bias Error (Mbe) and Mean Absolute Bias Error (Mabe)mentioning

confidence: 99%

Non-linear multivariate models for the estimation of global solar radiation received across five cities in South Africa

Govindasamy

Chetty

2019

J. energy South. Afr.

View full text Add to dashboard Cite

show abstract

“…The comparison with four other models (Angstrom-Prescott, Bahel, Newland and Abdala), reveals that the proposed model gives a better estimate with an MPE of 2.12%. Detailed examination of eight empirical models by Nia et al showed that the model combining sunshine duration, mean monthly temperature and mean relative humidity produces the lower RMSE of 1.91% [40]. This study has been conducted for the site of Algiers, Oran, Bechar and Tamanrasset.…”

Section: Semi-empirical and Parametric Modelsmentioning

confidence: 97%

A Review on Solar Radiation Assessment and Forecasting in Algeria (Part 1: Solar Radiation Assessment)

Chellali

Kabouche²,

Recioui

2021

AJSS

View full text Add to dashboard Cite

Solar energy takes a prime place in the energetic transition towards renewable energies. Solar radiation data plays a major role in the expansion of this energy. However, the unavailability of these data due to the reduced number of meteorological stations has imposed the use of various solar radiation estimation and prediction models. Moreover, the geostrategic location of Algeria, its enormous area and its huge solar potential places it among the promising solar energy countries. The main objective of this part is to review the studies done upon estimation and assessment of solar radiation for Algerian sites. Different techniques are proposed including semi-empirical models, satellite imaging and solar maps. The study shows that semi-empirical models have been the most widely used due to the unavailability of solar data.

show abstract

“…The coldest month registers an average low temperature of 03 C at Bechar against 06 C at Algiers. 20 Relative humidity are higher in Algiers. Concerning the solar irradiance, Figure 12 shows obviously higher values for Bechar.…”

Section: Parametric Studymentioning

confidence: 97%

Energy performance evaluation of direct solar floor in traditional and modern buildings

Kazeoui

Belarbi

Tahakourt

et al. 2015

Building Services Engineering Research and Technology

View full text Add to dashboard Cite

This paper reports results of a series of year-long simulations using TRNSYS computer code applied to Direct Solar Floor of a building made of local materials in Algeria. The Direct Solar Floor system was modeled and implemented using TRNSYS code. Then, energy saving was assessed through a mathematical approach calculating the heating load during winter. The internal climate was also evaluated by analyzing indoor temperatures and PMV along with PPD indices. Moreover, a parametric study was performed in order to evaluate the main characteristics that affect the performance of DSF with different construction materials used in Algeria. Practical application: The use of renewable energies in Algeria is still not widespread despite its strategic geographical location. Because that the residential sector seems to be the biggest consumer of energy and it widely contributes to greenhouse gases (GHG) emissions, the technique of heating by Direct Solar Floor (DSF) could be a very interesting solution to reduce both of energy consumption and GHG emissions. The DSF is still a relatively novel heating technology in Algeria. This paper describes the use of this technique in some typical Algerian constructions: old traditional buildings which are rarely used and modern buildings which are very common. Such as presented in this article, the use of local materials contribute to improving DSF performance. The parametric study presented in the paper offers designers decision-making tools to size appropriately a DSF heating system according to the construction materials used.

show abstract

Contribution to the Quantification of Solar Radiation in Algeria

Abstract: International audienc

Cited by 29 publications

References 15 publications

Non-linear multivariate models for the estimation of global solar radiation received across five cities in South Africa

Non-linear multivariate models for the estimation of global solar radiation received across five cities in South Africa

A Review on Solar Radiation Assessment and Forecasting in Algeria (Part 1: Solar Radiation Assessment)

Energy performance evaluation of direct solar floor in traditional and modern buildings

Contact Info

Product

Resources

About