A new geographical information system approach based on best worst method and analytic hierarchy process for site suitability and technical potential evaluation for large-scale CSP on-grid plant: An application for Algeria territory

Gouareh, Abderrahmane; Settou, Belkhir; Settou, Noureddine

doi:10.1016/j.enconman.2021.113963

Cited by 38 publications

(13 citation statements)

References 75 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In addition, the results obtained also correspond to similar research conducted in countries with comparable geographic and climate characteristics. For instance, Díaz-Cuevas et al ( 2021) and Gouareh et al (2021), using the same approach, found similar key criteria for the successful adaptation of PV-wind hybrid and CSP technologies in Algeria. Furthermore, in comparison with similar works conducted in Egypt, Morocco, and Kenya (Effat and El-Zeiny, 2022; Elkadeem Jbaihi et al, 2022), our outcome was found to be significant and provide very competitive opportunities for Tataouine and the entire country as a whole.…”

Section: Discussionmentioning

confidence: 84%

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

View full text Add to dashboard Cite

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.

show abstract

Section: Discussionmentioning

confidence: 84%

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

View full text Add to dashboard Cite

show abstract

“…The methods used in different studies are presented in Table A1 of the Appendix. They include Analytic Hierarchy Process (AHP), Fuzzy Analytical Hierarchy Method (FAHP), Fuzzy‐Boolean logic, Analytical Network Process (ANP), Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), Preference Ranking Organisation Method for Enrichment of Evaluations (PROMETHEE), Elimination, Choice Translating Reality (ELECTRE), Entropy Weighted Method (EWM), Best Worst Model (BWM), Step‐wise Weight Assessment Ratio Analysis (SWARA), Ordered Weighted Averaging (OWA) and Optimal Site Definition Model (ODM) [2, 4, 7–15].…”

Section: Methodsmentioning

confidence: 99%

“…Multi-Criteria Decision-Making (MCDM) methods provide a structured and systematic approach to handle conflicting criteria and make informed decisions. The literature review identified 33 [2,4,[7][8][9][10][11][12][13][14][15].…”

Section: Multi-criteria Decision-making Methodsmentioning

confidence: 99%

“…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%

See 1 more Smart Citation

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

2023

View full text Add to dashboard Cite

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.

show abstract

“…e combination of different types of each interface component of a recreational intelligent product will result in multiple design solutions, and the evaluation and selection of the solutions requires a more comprehensive evaluation system. Many scholars have been experimenting and summarizing according to the actual practice, while drawing on the knowledge of other disciplines such as operations research, management science, and mathematics to study the evaluation methods, mainly hierarchical analysis [13,14], entropy power method [15,16], the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method [17][18][19], and comprehensive evaluation method [20][21][22]. When these methods are applied, expert interviews and questionnaires are often used to establish evaluation indicators and evaluation systems, and the indicators are often derived based on direct generalization by the researcher, without being able to classify the evaluation indicators of the interface based on scientific logic.…”

Section: Introductionmentioning

confidence: 99%

Design and Evaluation of the Interface of Recreational Intelligent Escort Products

Han

Jiao

Tan

et al. 2022

Scientific Programming

View full text Add to dashboard Cite

In the context of the Internet of Things (IoT), the user interface has become the main means of interaction between the user and the network system, and the increasing variety of ways of interacting with the user interface has created many “digital problems” for the elderly. In order to explore the preferences of elderly people in using smart products and to help designers to objectively and rationally select interface design solutions, to enhance the experience of elderly people in using smart products and the naturalness of the interaction process, and to motivate them to actively participate in Internet life, this study proposes a new approach to interface design solution selection, which reduces the subjectivity of solution selection in the design process. Firstly, the interface was decomposed into 7 components, and the orthogonal experimental design was used to calculate the evaluation indexes and the correlation degree between the objects of 18 typical solutions, and finally the preferred solution was obtained. Secondly, conjoint analysis was used to obtain the importance that older users attached to the seven interface components and their preferences for the types of elements. The research takes the interface design of an elderly companion robot as an example. The method enables the optimization of the target problem of how to match the interface design elements and the final solution preference in IoT systems, enabling designers to use mathematical and rational thinking to study contradictory problems, enhancing the objectivity and scientificity of interface design and solution selection, providing a more natural and comfortable interaction experience for elderly users, and promoting healthy ageing.

show abstract

A new geographical information system approach based on best worst method and analytic hierarchy process for site suitability and technical potential evaluation for large-scale CSP on-grid plant: An application for Algeria territory

Cited by 38 publications

References 75 publications

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

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

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

Design and Evaluation of the Interface of Recreational Intelligent Escort Products

Contact Info

Product

Resources

About