Solar PV power plant site selection using a GIS-AHP based approach with application in Saudi Arabia

Garni, Hassan Z. Al; Awasthi, Anjali

doi:10.1016/j.apenergy.2017.10.024

Cited by 480 publications

(274 citation statements)

References 60 publications

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“…Typically, those are urban areas, ecological zones, watercourses, military sectors, cultural heritage, etc. [24]. They may also represent zones too far from specific objects (e.g.…”

Section: Geographical Data Layersmentioning

confidence: 99%

“…Buffers surrounding geographic objects depend both on their type and on the kind of power station, e.g. wind [23], biomass [42] or solar PV [24]. Distance thresholds to given layers (e.g.…”

Section: Control Parametersmentioning

confidence: 99%

“…As pointed out by Al Garni and Awasthi, terrain slope is for instance one critical criterion when regarding the installation of any power facility [47]. In the case of wind and solar, available polygon surface also limits how much nominal capacity might eventually be set up [24]. In the same way, final cost for establishing a power station might also be affected by land type and land use.…”

Section: Adding Quantifiable Features To the Plotsmentioning

confidence: 99%

“…Al Garni et al [24] have achieved the first GIS-MCDM study in Saudi Arabia for selecting the best sites for large-scale solar PV plants. They first derive potential areas from a restriction overlay analysis, and then achieve AHP to weigh the seven criteria they selected, that is 1) yearly solar irradiation and air temperature, and 2) slope, land aspects, distance to urban area, distance to roads distance to power lines.…”

Section: Introduction and Related Workmentioning

confidence: 99%

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An integrated GIS and robust optimization framework for solar PV plant planning scenarios at utility scale

et al. 2020

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Today, the overall goal of energy transition planning is to seek an optimal strategy for increasing the share of renewable sources in existing power networks, such that the growing power demand is satisfied at manageable short/long term investment. In this paper we address the problem of PV penetration in electricity networks, by considering both 1) the spatial issue of site selection and size, and 2) the temporal aspect of hourly load and demand satisfaction, in addition with the investment and maintenance costs to guarantee a viable and reliable solution. We propose to address this spatio-temporal optimization problem through an integrated GIS and robust optimization model, that allows handling of the ubiquitous dependencies between resource and demand time variability and the selection of optimal sites of renewable power generation. Our approach contributes to the integration of the multi-dimensional and combinatorial aspects of this problem, gathering geographical layers (regional or national scale) and temporal packing (hourly time stamp) constraints, and cost functions. This model computes the optimal geographical location and size of PV facilities allowing energy planning targets to be met at minimal cost in a reliable manner. In this paper, we illustrate our approach by studying the penetration of large-scale solar PV in the French Guiana's power system. Among the results, we show for instance that: 1) our approach performs geographical aggregation with real contextual data, i.e. balances the intermittency of RE sources by spreading out the corresponding installations (location + size) across the territory; 2) the total installed PV capacity can be doubled by removing the 35 % penetration limit on intermittent power without exceeding hourly demand; 3) the safest investment scenario is below 30 MW of new PV facilities (≈ 45 Me and 2 plants), though it is theoretically possible to install up to 45 MW (>120 Me and 11 plants). Nomenclature B iBoolean variable equal to 1 if site PS i is selected, 0 otherwise Ccap i Capital cost for implementation of a new PV power plant (e) Ccon i Connection cost for each new PV plant, transmission lines and substation (e) Clan Transmission line unit cost (e/m) Cop i Annual fixed operational cost per new PV plant (e) Csta Substation power unit cost (e/kW) Csta i Capital cost for new substation (e) Dem h Estimated hourly power demand (kWh) Dg i Minimum distance from the grid to the centroid of a candidate (m) Eint h Current hourly production from intermittent sources (kWh) * Corresponding author Email addresses: benjamin.pillot@ird.fr (Benjamin Pillot), nadeem.alkurdi@ird.fr (Nadeem Al-Kurdi), carmen.gervet@umontpellier.fr (Carmen Gervet), laurent.linguet@univ-guyane.fr (Laurent Linguet)

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“…Typically, those are urban areas, ecological zones, watercourses, military sectors, cultural heritage, etc. [24]. They may also represent zones too far from specific objects (e.g.…”

Section: Geographical Data Layersmentioning

confidence: 99%

“…Buffers surrounding geographic objects depend both on their type and on the kind of power station, e.g. wind [23], biomass [42] or solar PV [24]. Distance thresholds to given layers (e.g.…”

Section: Control Parametersmentioning

confidence: 99%

Section: Adding Quantifiable Features To the Plotsmentioning

confidence: 99%

Section: Introduction and Related Workmentioning

confidence: 99%

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An integrated GIS and robust optimization framework for solar PV plant planning scenarios at utility scale

et al. 2020

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“…Nazari, Aslani and Ghasempour [25] proposed TOPSIS approaches for analysising of solar farm site selection options. Al Garni and Awasthi [26] selected the best location for utility scale solar PV projects by using GIS and an MCDM approach. Merrouni et al [27] used GIS and the AHP to assess the capacity of Eastern Morocco to host large-scale PV farms.…”

Section: Introductionmentioning

confidence: 99%

Multi-Criteria Decision Making (MCDM) Approaches for Solar Power Plant Location Selection in Viet Nam

et al. 2018

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Abstract:The ongoing industrialization and modernization period has increased the demand for energy in Viet Nam. This has led to over-exploitation and exhausts fossil fuel sources. Nowadays, Viet Nam's energy mix is primarily based on thermal and hydro power. The Vietnamese government is trying to increase the proportion of renewable energy. The plan will raise the total solar power capacity from nearly 0 to 12,000 MW, equivalent to about 12 nuclear reactors, by 2030. Therefore, the construction of solar power plants is needed in Viet Nam. In this study, the authors present a multi-criteria decision making (MCDM) model by combining three methodologies, including fuzzy analytical hierarchy process (FAHP), data envelopment analysis (DEA), and the technique for order of preference by similarity to ideal solution (TOPSIS) to find the best location for building a solar power plant based on both quantitative and qualitative criteria. Initially, the potential locations from 46 sites in Viet Nam were selected by several DEA models. Then, AHP with fuzzy logic is employed to determine the weight of the factors. The TOPSIS approach is then applied to rank the locations in the final step. The results show that Binh Thuan is the optimal location to build a solar power plant because it has the highest ranking score in the final phase of this study. The contribution of this study is the proposal of a MCDM model for solar plant location selection in Viet Nam under fuzzy environment conditions. This paper also is part of the evolution of a new approach that is flexible and practical for decision makers. Furthermore, this research provides useful guidelines for solar power plant location selection in many countries as well as a guideline for location selection of other industries.

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Synthesis and Future Perspective

Kumar

2023

Urban Energy Systems

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Solar PV power plant site selection using a GIS-AHP based approach with application in Saudi Arabia

Cited by 480 publications

References 60 publications

An integrated GIS and robust optimization framework for solar PV plant planning scenarios at utility scale

An integrated GIS and robust optimization framework for solar PV plant planning scenarios at utility scale

Multi-Criteria Decision Making (MCDM) Approaches for Solar Power Plant Location Selection in Viet Nam

Synthesis and Future Perspective

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