Mapping concentrated solar power site suitability in Algeria

Haddad, Brahim; Díaz-Cuevas, Pilar; Ferreira, Paula Varandas; Djebli, Ahmed; Pérez, Juan Pedro

doi:10.1016/j.renene.2020.12.081

Cited by 41 publications

(18 citation statements)

References 53 publications

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“…While the view that there is a growing public awareness of the role and importance of energy transition in environmental and climate protection efforts is not controversial [45][46][47][48][49], other aspects concerning the dynamics of the development of solar PV as an energy source are not so obvious anymore [50]. In many countries, research is being conducted on methodologies for identifying suitable locations for solar power plant installations [51,52], which are economically, socially or environmentally justified. In Poland, support for photovoltaic investments takes place in regions with the least favorable sunlight conditions, as well as an underinvested electricity grid and relatively easy access to agricultural land whose owners are willing to allocate it for non-agricultural purposes.…”

Section: Introductionmentioning

confidence: 99%

Photovoltaic Farms—Economic Efficiency of Investments in North-East Poland

2021

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The abandonment of conventional sources in favor of energy from renewable energy sources (RES) has a global dimension, and the dynamic increase in the share of energy from photovoltaic systems in the energy mix of many countries results from the possibility of obtaining it both on a small scale (micro-installations) and as part of economic investments (photovoltaic power plants). The study aimed to assess the economic efficiency of 22 photovoltaic farms located in northeastern Poland. The research covered 5 solar power plants with a capacity of up to 799 kWp (I), 13 between 800 and 1100 kWp (II), and 4 installations of 1.98 MWp (III). The evaluation was based on net present value (NPV), internal rate of return (IRR), payback period (PP), profitability index (PI), accounting rate of return (ARR). Additionally, a sensitivity analysis was carried out regarding the value of economic indicators. The analysis shows that all studied PV farms are economically justified investments (NPV > 0) regardless of the adopted scenario. Solar power plants of the largest analyzed capacity (group III) resulted in being the most profitable ones, but no linear relationship between the level of productivity and profitability was established. Due to the large variation in terrain shape in northeastern Poland, landscape value and social benefits, which are difficult to assess, the support system for investments regarding the construction of photovoltaic power plants proved to be the most effective in group I.

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Section: Introductionmentioning

confidence: 99%

Photovoltaic Farms—Economic Efficiency of Investments in North-East Poland

2021

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“…Greece AHP, TOPSIS [11] Khuzestan AHP, fuzzy Boolean logic [27] Turkey AHP [22,24,[28][29][30][31][32] Morocco AHP [33][34][35] China AHP [36] Israel AHP [37] Algeria AHP, EQual Weighted (EQW), Best Worst Method (BWM) [15,[38][39][40] Peru AHP [41] Afghanistan AHP, ANP [42] Iraq AHP, Boolean AHP [8,43] Iran AHP, fuzzy logic, weighted linear Combination (WLC) [44] Thailand AHP [45] Ethiopia AHP [46] Egypt AHP [47] Ireland AHP [48] Chile AHP, ordered weighted averaging [10] Philippines AHP [25] Tanzania AHP [49] Saudi Arabia AHP [23] T A B L E 3 Summary of studies on EVCS site selection using GIS and AHP.…”

Section: Study Area Methods Referencesmentioning

confidence: 99%

An approach for selecting optimal locations for electric vehicle solar charging stations

2023

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Electric vehicles (EVs) are seen as a solution to reduce transport-related greenhouse gas emissions. A major obstacle to wider adoption is the insufficient amount of charging stations. Furthermore, supplying charging stations with renewable energy is still in its infancy. The selection of optimal locations for charging stations is important to best serve the users and maximise the possibilities of renewable energy use. Given this background, this study developed an approach for Solar-supplied Electric Vehicle Charging Station (EVCS) location selection by combining EVCS and solar farm site selection studies using Geographical Information System (GIS) and Analytic Hierarchy Process (AHP). The study determined the most important criteria for site selection based on previous solar and EVCS site selection studies and expert opinions. The 10 most important criteria according to the survey results were: availability of power, solar energy potential, solar panel installation cost, number of EVs, operation and management costs, land cost, distance from roads/highways, distance from current EVCSs, industrial capability of installation and distance to high population density centres. The importance weights of these criteria were assigned using AHP method. The findings are expected to benefit urban planners, decision-makers, and researchers designing solar-supplied EV charging infrastructure.

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“…In a very recent work, Wang et al (2022) proposed an advanced hybrid Aly et al 2017;Mutume, 2023;Yushchenko et al, 2018 model that combines DEA, Grey-AHP, and Grey-TOPSIS to effectively determine the optimal locations for solar power plants, specifically in Vietnam. Studies by Mutume (2023) and Haddad et al (2021) applied AHP along with GIS to delineate the most promising sites for CSP power plants in Zimbabwe and Algeria, respectively. For a more reliable and continuous energy supply, numerous researchers have paid attention to hybrid systems owing to the intermittency and variability of single technologies.…”

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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Mapping concentrated solar power site suitability in Algeria

Cited by 41 publications

References 53 publications

Photovoltaic Farms—Economic Efficiency of Investments in North-East Poland

Photovoltaic Farms—Economic Efficiency of Investments in North-East Poland

An approach for selecting optimal locations for electric vehicle solar charging stations

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

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