Looking over the Horizon 2030: Efficiency of Renewable Energy Base Plants in Algeria Using Fuzzy Goal Programming

Ghouali, Samir; Guellil, Mohammed Seghir; Belmokaddem, Mostefa

doi:10.1007/978-3-030-37207-1_34

Cited by 2 publications

(2 citation statements)

References 11 publications

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“…However, all policies must base their methodology on the optimal mix of different plant types, where in the country these new plants must be built, and finally, what their capacity should be. According to these additional criteria, from the administrative point of view, the interoperability between the available types of renewable energy plants was analyzed [78], synthesizing a variety of additional factors such as geographical, climatic and ecological. The authors applied the FGP model for the case study of the Algeria focusing on the generation of electricity using renewable energy resources.…”

Section: Fuzzy Goal Programmingmentioning

confidence: 99%

Supportiveness of Low-Carbon Energy Technology Policy Using Fuzzy Multicriteria Decision-Making Methodologies

Kokkinos

Karayannis

2020

Mathematics

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The deployment of low-carbon energy (LCE) technologies and management of installations represents an imperative to face climate change. LCE planning is an interminable process affected by a multitude of social, economic, environmental, and health factors. A major challenge for policy makers is to select a future clean energy strategy that maximizes sustainability. Thus, policy formulation and evaluation need to be addressed in an analytical manner including multidisciplinary knowledge emanating from diverse social stakeholders. In the current work, a comparative analysis of LCE planning is provided, evaluating different multicriteria decision-making (MCDM) methodologies. Initially, by applying strengths, weaknesses, opportunities, and threats (SWOT) analysis, the available energy alternative technologies are prioritized. A variety of stakeholders is surveyed for that reason. To deal with the ambiguity that occurred in their judgements, fuzzy goal programming (FGP) is used for the translation into fuzzy numbers. Then, the stochastic fuzzy analytic hierarchical process (SF-AHP) and fuzzy technique for order performance by similarity to ideal solution (F-TOPSIS) are applied to evaluate a repertoire of energy alternative forms including biofuel, solar, hydro, and wind power. The methodologies are estimated based on the same set of tangible and intangible criteria for the case study of Thessaly Region, Greece. The application of FGP ranked the four energy types in terms of feasibility and positioned solar-generated energy as first, with a membership function of 0.99. Among the criteria repertoire used by the stakeholders, the SF-AHP evaluated all the criteria categories separately and selected the most significant category representative. Finally, F-TOPSIS assessed these criteria ordering the energy forms, in terms of descending order of ideal solution, as follows: solar, biofuel, hydro, and wind.

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Section: Fuzzy Goal Programmingmentioning

confidence: 99%

Supportiveness of Low-Carbon Energy Technology Policy Using Fuzzy Multicriteria Decision-Making Methodologies

Kokkinos

Karayannis

2020

Mathematics

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“…In the context of Algerian analysis, Ghouali et al ( 2020 ) examine the relationships between the types of renewable energy in order to define the optimal number of renewable energies plants in Algeria, through the combination of geographically, climatically an environmental parameter,, using a multicriteria analysis focused on multi-source, multi-sink networks and job numbers. Zaitseva et al ( 2020 ) present a complex programming approach to optimizing the regional allocation of jobs.…”

Section: Literature Reviewmentioning

confidence: 99%

Prospective Analysis for a Long-Term Optimal Labor Force Planning in Algeria (PALOLFA)

Guellil

Ghouali

Khedir

et al. 2020

Artificial Intelligence and Renewables Towards an Energy Transition

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Objective programming models propose an explanatory framework to look at multi-criteria issues, including a couple of clashing targets. Genuine issues regularly include uncertain data, which makes weighted objective programming (WGP) models the most appealing decision. This article offers a WGP model that consolidates ideal resource distribution to simultaneously satisfy planned objectives on economic improvement, vitality utilization, workforce, and ozone-depleting substance (GHG) emanation decrease associated with key financial areas of Algeria. The model offers significant encounters to chiefs for fundamental arranging and adventure portions towards doable progression. We exhibit the authenticity and substantiality of the model through a numerical case.

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Looking over the Horizon 2030: Efficiency of Renewable Energy Base Plants in Algeria Using Fuzzy Goal Programming

Cited by 2 publications

References 11 publications

Supportiveness of Low-Carbon Energy Technology Policy Using Fuzzy Multicriteria Decision-Making Methodologies

Supportiveness of Low-Carbon Energy Technology Policy Using Fuzzy Multicriteria Decision-Making Methodologies

Prospective Analysis for a Long-Term Optimal Labor Force Planning in Algeria (PALOLFA)

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