Citation: Al-Quraan, A.;
Al-Mahmodi, M.; Alzaareer, K.;
El-Bayeh, C.; Eicker, U. Minimizing
the Utilized Area of PV Systems by
Generating the Optimal Inter-Row
Spacing Factor. Sustainability 2022, 14,
6077. https://doi.org/10.3390/
su14106077
Academic Editors: Francesco Calise,
Maria Vicidomini and Francesco
Liberato Cappiello
Received: 27 February 2022
Accepted: 11 May 2022
Published: 17 May 2022
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sustainability
Article
Minimizing the Utilized Area of PV Systems by Generating the
Optimal Inter-Row Spacing Factor
Ayman Al-Quraan
1,
* , Mohammed Al-Mahmodi
2
, Khaled Alzaareer
3
, Claude El-Bayeh
4
and Ursula Eicker
4
1
Electrical Power Engineering Department, Hijjawi Faculty for Engineering Technology, Yarmouk University,
Irbid 21163, Jordan
2
Mechanical Engineering Department, Renewable Energy, The University of Jordan, Amman 11942, Jordan;
mhm8210520@ju.edu.jo
3
Department of Electrical Engineering, Faculty of engineering, Philadelphia University, Amman 19392, Jordan;
kalzaareer@philadelphia.edu
4
Canada Excellent Research Chair Team, Concordia University, Montreal, QC H3H 2L9, Canada;
c.bayeh@hotmail.com (C.E.-B.); ursula.eicker@concordia.ca (U.E.)
* Correspondence: aymanqran@yu.edu.jo
Abstract: In mounted photovoltaic (PV) facilities, energy output losses due to inter-row shading
are unavoidable. In order to limit the shadow cast by one module row on another, sufficient inter-
row space must be planned. However, it is not uncommon to see PV plants with such close row
spacing that energy losses occur owing to row-to-row shading effects. Low module prices and high
ground costs lead to such configurations, so the maximum energy output per available surface area
is prioritized over optimum energy production per peak power. For any applications where the
plant power output needs to be calculated, an exact analysis of the influence of inter-row shading on
power generation is required. In this paper, an effective methodology is proposed and discussed in
detail, ultimately, to enable PV system designers to identify the optimal inter-row spacing between
arrays by generating a multiplier factor. The spacing multiplier factor is mathematically formulated
and is generated to be a general formula for any geographical location including flat and non-flat
terrains. The developed model is implemented using two case studies with two different terrains, to
provide a wider context. The first one is in the Kingdome of Saudi Arabia (KSA) provinces, giving
a flat terrain case study; the inter-row spacing multiplier factor is estimated for the direct use of
a systems designer. The second one is the water pump for agricultural watering using renewable
energy sources, giving a non-flat terrain case study in Dhamar, Al-Hada, Yemen. In this case study,
the optimal inter-row spacing factor is estimated for limited-area applications. Therefore, the effective
area using the proposed formula is minimized so that the shading of PV arrays on each other is
avoided, with a simple design using the spacing factor methodology.
Keywords: photovoltaic system; inter-row spacing; tilt angle; effective area; sun path; sun angles
1. Introduction
The penetration level of small-scale renewable energy resources, particularly photo-
voltaic (PV) systems, has rapidly evolved over recent years. Their low installation and
operational costs make these resources competitive in the energy market in those countries
that have high solar radiation, such as those located in the Middle East and South Africa
(MENA). Several studies have been conducted to investigate the possibilities of maximizing
the yield of energy production from renewable power generation, taking the MENA region
as a case study, using intensive surveys and theories of theoretical and practical optimiza-
tion [1–3]. With more focus on PV systems, roof-top solar energy projects are incentivized
due to the simplicity of grid integration and the possibility of trade and exchange within
the grid via certain policies [4]. Furthermore, prompt implementation with scalable ca-
pacity and a low maintenance cost encouraged communities, households, and companies
Sustainability 2022, 14, 6077. https://doi.org/10.3390/su14106077 https://www.mdpi.com/journal/sustainability