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Optimal orientation angles for maximizing energy yield for solar PV in Saudi Arabia

Title:

Optimal orientation angles for maximizing energy yield for solar PV in Saudi Arabia

Awasthi, Anjali, Al Garni, Hassan Z. and Wright, David N (2018) Optimal orientation angles for maximizing energy yield for solar PV in Saudi Arabia. Renewable Energy . ISSN 09601481 (In Press)

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Official URL: http://dx.doi.org/10.1016/j.renene.2018.10.048

Abstract

This paper uses research-quality, ground measurements of irradiance and temperature that are accurate to ±2% to estimate the electric energy yield of fixed solar modules for utility-scale solar power plants at 18 sites in Saudi Arabia. The calculation is performed for a range of tilt and azimuth angles and the orientation that gives the optimum annual energy yield is determined. A detailed analysis is presented for Riyadh including the impact of non-optimal tilt and azimuth angles on annual energy yield. It is also found that energy yield in March and October are higher than in April and September, due to milder operating temperatures of the modules. A similar optimization of tilt and azimuth is performed each month separately. Adjusting the orientation each month increases energy yield by 4.01% compared to the annual optimum, but requires considerable labour cost. Further analysis shows that an increase in energy yield of 3.63% can be obtained by adjusting the orientation at five selected times during the year, thus significantly reducing the labour requirement. The optimal orientation and corresponding energy yield for all 18 sites is combined with a site suitability analysis taking into account climate, topography and proximity to roads, transmission lines and protected areas. Six sites are selected as having high suitability and high energy yield: Albaha, Arar, Hail, Riyadh, Tabuk and Taif. For these cities the optimal tilt is only slightly higher than the latitude, however the optimum azimuth is from 20° to 53° west of south due to an asymmetrical daily irradiance profile.

Divisions:Concordia University > Gina Cody School of Engineering and Computer Science > Concordia Institute for Information Systems Engineering
Item Type:Article
Refereed:Yes
Authors:Awasthi, Anjali and Al Garni, Hassan Z. and Wright, David N
Journal or Publication:Renewable Energy
Date:2018
Funders:
  • The Royal Commission of Jubail and Yanbu – Jubail Industrial College
Digital Object Identifier (DOI):10.1016/j.renene.2018.10.048
Keywords:Solar irradiation; Solar PV; Optimal orientation; Tilt; Azimuth; Energy yield
ID Code:984613
Deposited By: ALINE SOREL
Deposited On:29 Oct 2018 19:53
Last Modified:29 Oct 2018 19:53

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