Optimal wind-solar site selection using a GIS-AHP based approach: A case of Tunisia

Rekik, Sassi; Alimi, Souheil El

doi:10.1016/j.ecmx.2023.100355

Cited by 28 publications

(20 citation statements)

References 91 publications

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“…It breaks down a complex problem into constituent factors and forms a hierarchy by the dominant relationship, and then uses pairwise comparisons to derive a scale of relative importance for decision alternatives. Broadly speaking, it can be carried out in the following four steps: (1) establishing hierarchical structure, (2) structuring all judgment matrices in each level, (3) ranking order and testing the uniformity, (4) ranking overall order and testing the uniformity 27,[37][38][39] .…”

Section: Data Source and Study Methodsmentioning

confidence: 99%

GIS-based risk assessment of flood disaster in the Lijiang River Basin

Tang

Liju

et al. 2023

Sci Rep

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This study is designed to provide a scientific reference for the establishment of rainstorm and flood disaster prevention system in Guilin region and improve the risk assessment of rainstorm and flood disasters. To realize the goal, a flood risk evaluation model is established by weight analysis methods including the entropy weight method and the analytic hierarchy process from 3 aspects, i.e., risk of disaster causing factors, sensitivity of disaster-pregnant environment and vulnerability of disaster bearing body. For the model, the daily precipitation 1980–2020 of 6 representative national meteorological stations in the Lijiang River Basin was used as reference data of disaster causing factors; six indicators, i.e., NDVI, river network density, geological hazard, slope, slope aspect and terrain undulation were selected as the sensitivity of disaster-pregnant environment; NPP, potential of farmland production, and population density were taken as the criteria for determining the vulnerability of disaster bearing capacity. Meanwhile, ArcGIS was used for analysis and calculation to complete the risk assessment of flood disaster in Lijiang River Basin, Guangxi. The results indicate that: (1) the hazard level of flood disaster causing factors in Lijiang River Basin shows a decreasing distribution pattern from north to south, and high-risk areas cover 3108.47 km2, accounting for 21.29%; (2) the stability grade of disaster-pregnant environment shows a decreasing trend from the surrounding mountains to the plains, and the low-stability and lower-stability areas are mostly found in the low-lying areas around Lijiang River, with an area of 4218.63 km2, accounting for 28.69%; (3) the vulnerability of the disaster bearing body is generally at a low level, and the areas with high level cover 246.96 km2, accounting for only 1.69%; (4) under the combined effect of the above factors, the northern part of Guilin City in the Lijiang River Basin has a high risk of flood disaster.

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Section: Data Source and Study Methodsmentioning

confidence: 99%

GIS-based risk assessment of flood disaster in the Lijiang River Basin

Tang

Liju

et al. 2023

Sci Rep

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“…There is a significant body of literature devoted to exploring opportunities for utilizing RESs in Tunisia, as evidenced by previous studies (Attig-Bahar et al, 2021;Balghouthi et al, 2016;Harrabi et al, 2023;Rekik and El Alimi, 2023;Trabelsi et al, 2016). However, there is currently a gap in research investigating the implementation of hybrid CSP-PV-wind turbine-based power generation systems, specifically in the Tataouine region, southernmost Tunisia.…”

Section: Literature Reviewmentioning

confidence: 99%

A spatial perspective on renewable energy optimization: Case study of southern Tunisia Using GIS and multicriteria decision making

Rekik,

El Alimi

2023

Energy Exploration & Exploitation

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Renewable energy systems have emerged as a viable option to mitigate the environmental impacts of traditional fossil fuels. However, the intermittent nature of these renewables, such as solar and wind, makes it challenging to ensure a stable energy supply using only one type. Therefore, combining more than a single technology offers significant advantages in addressing the limitations associated with each individual system. Nevertheless, developing these systems requires substantial financial investments, making it crucial to identify the most suitable locations prior to installing them. In this article, the prime objective was to propose a preliminary evaluation of land suitability for constructing solar and wind hybrid facilities (PV–wind, PV–CSP, and CS–wind) in Tataouine, southern Tunisia. To this end, a GIS-based MCDA methodology was developed based on an extensive literature review and experts’ feedback while considering climate, topography, accessibility, and environmental factors. The results obtained revealed that the optimal area for a CSP–PV hybrid system is about 793 km2, indicating that this combination has the highest potential in terms of available resources and compatibility. On the other hand, well-suited locations for hosting CSP–wind and PV–wind systems covered areas of 412 and 333 km2, respectively. Such specific locations are capable of generating an annual technical potential of 316.169, 91.252, and 62.970 TWh for CSP–PV, CSP–wind, and PV–wind, respectively. Interestingly, comprising almost all of the most appropriate sites, Remada and Dhiba stand as the ideal locations for accommodating such hybrid systems. Considering this outcome, Tataouine can position itself as a model for renewable energy adoption in Tunisia. Therefore, it is imperative for policymakers, investors, and local communities to collaborate and embrace these hybrid systems to capitalize on this immense potential and pave the way for a greener and more prosperous future.

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“…Improving energy efficiency in buildings is one of the paths to achieving climate and energy goals [3], which gives the floor to solar power for self-production. In Tunisia the research has been done about the assessment of the promising sites to host large-scale solar panels using geographical information systems and multi-criteria decision-making [4]. Some Norwegian researchers have conducted an analysis of the emissions associated with the energy systems of an existing nearly zero-energy university building in a use case scenario [5].…”

Section: Introductionmentioning

confidence: 99%

Analysis of development of Norwegian household solar energy ecosystem

Meng¹,

Yin²,

Johannessen³

et al. 2023

J. Phys.: Conf. Ser.

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Solar energy for self-production is one of the tools for improving energy efficiency in buildings to achieve EU’s climate and energy goals, while solar energy has a very small share and is increasing slowly in Norway. This paper analyses the four main reasons why solar power has an insignificant role: hydropower with much lower cost, low energy output in winter due to less sunlight, unclear personal willingness to adopt solar photovoltaics (PV) on their houses and current fixed PV panels with low energy efficiency. Based on this analysis, we propose to use a tilting PV system for the current buildings to improve the efficiency and performance of utilization of the solar radiation. In three cities Oslo, Stavanger and Trondheim, economic return for the investment in PV panels is also calculated with payback period (PBP) analysis based on the electricity prices in 2022. It shows that it is profitable with the payback period of over 10 years while the solar panels’ life span is over 30 years. Further research questions are also discussed.

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Optimal wind-solar site selection using a GIS-AHP based approach: A case of Tunisia

Cited by 28 publications

References 91 publications

GIS-based risk assessment of flood disaster in the Lijiang River Basin

GIS-based risk assessment of flood disaster in the Lijiang River Basin

A spatial perspective on renewable energy optimization: Case study of southern Tunisia Using GIS and multicriteria decision making

Analysis of development of Norwegian household solar energy ecosystem

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