A multicriteria approach to evaluate wind energy plants on an Italian island

Cavallaro, Fausto; Ciraolo, L.

doi:10.1016/s0301-4215(03)00228-3

Cited by 217 publications

(98 citation statements)

References 12 publications

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“…For example, wind farm site selection problem has been treated as a MCDM problem in various studies. Some recent studies in this direction used weighted aggregation [25][26][27][28], fuzzy logic [29][30][31][32], and Pareto ranking [33]. A more comprehensive coverage of other relevant studies is given in a recent survey by Herbert-Acero et al [19].…”

Section: Multi-criteria Decision-making Techniques For Site Selectionmentioning

confidence: 99%

Fuzzy Logic Based Multi-Criteria Wind Turbine Selection Strategy—A Case Study of Qassim, Saudi Arabia

Rehman

Khan

2016

Energies

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Abstract:The emergence of wind energy as a potential alternative to traditional sources of fuel has prompted notable research in recent years. One primary factor contributing to efficient utilization of wind energy from a wind farm is the type of turbines used. However, selection of a specific wind turbine type is a difficult task due to several criteria involved in the selection process. Important criteria include turbine's power rating, height of tower, energy output, rotor diameter, cut-in wind speed, and rated wind speed. The complexity of this selection process is further amplified by the presence of conflicts between the decision criteria. Therefore, a decision is desired that provides the best balance between all selection criteria. Considering the complexities involved in the decision-making process, this paper proposes a two-level decision turbine selection strategy based on fuzzy logic and multi-criteria decision-making (MCDM) approach. More specifically, the fuzzy arithmetic mean operator is used in the decision process. The proposed approach is applied to wind data collected from the site of Qassim, Saudi Arabia. Results indicate that the proposed approach was effective in finding the optimal turbine from a set of 20 turbines of various capacities.

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Section: Multi-criteria Decision-making Techniques For Site Selectionmentioning

confidence: 99%

Fuzzy Logic Based Multi-Criteria Wind Turbine Selection Strategy—A Case Study of Qassim, Saudi Arabia

Rehman

Khan

2016

Energies

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“…The problem of the construction of a DSS for selecting an offshore wind location was attempted in [24], [7]. As far as decision problems relating to the project design of a wind farms are concerned, these were discussed in [6], [25]. The technical aspects of wind turbines are also related to farm designs [8] as well as wind farm development evaluation, in the bigger picture [26].…”

Section: Literature Reviewmentioning

confidence: 99%

“…100m is crucial. [5], [6], [15], [17], [19]- [21], [23], [24], [26] C1.2 Output power of wind turbine [8] C1.3 Power grid voltage on the site of connection [26] C2 Economic C2.1 Yearly amount of energy generated [6], [7], [25] C2.2 Investment cost [5]- [7], [16], [25] C2.3 Operational costs per year [5], [6], [16], [25] C2.4 Incomes from generated energy per year [26] C2.5 Profits from generated energy per year [5], [6], [24] C2.6 Payback period [5]- [7] C3 Social C3.1 Number of generated workplaces [5], [6], [15] C3. C4.3 Location in Natura 2000 protected area [7], [19], [22], [23] C1.2 The maximum output power of a turbine is achieved at a specific wind speed, which is critical.…”

Section: The Proposed Decision Model For Dssmentioning

confidence: 99%

MCDA-based Decision Support System for Sustainable Management – RES Case Study

Wątróbski¹,

Ziemba²,

Wolski³

2016

Annals of Computer Science and Information Systems

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Abstract-The MCDA methods are used in order to solve complex decision-making problems which require considering many interrelated criteria. They are also the basis of DSS. Nevertheless, these dependencies between criteria can have an influence on the obtained solution. A class of decision-making problems, in which there are intercriteria dependencies, are decisions in the sustainability area, e.g. selection of a location and a design of an RES-based power station. The article presents a complex model, taking into consideration dependencies between criteria.

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“…However, Wolsink (2007), for example emphasised the need to take into consideration public attitude on wind implementation decisions, not only at a general level but also at the local project level and stressed the importance of including the public in decision-making process. Also Cavallaro and Ciraolo (2005) support that social acceptability is extremely important since it may heavily influence the amount of time needed to complete the energy project. The public acceptance of a project may not be sufficient to ensure its viability, but represents a clear contribution to its success.…”

Section: Selection Of Criteriamentioning

confidence: 99%

The Integration of Social Concerns into Electricity Power Planning: A Combined Delphi and AHP Approach

2010

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The increasing acceptance of the principle of sustainable development has been a major driving force towards new approaches to energy planning. This is a complex process involving multiple and conflicting objectives, in which many agents were able to influence decisions. The integration of environmental, social and economic issues in decision making, although fundamental, is not an easy task, and tradeoffs must be made. The increasing importance of social aspects adds additional complexity to the traditional models that must now deal with variables recognizably difficult to measure in a quantitative scale. This study explores the issue of the social impact, as a fundamental aspect of the electricity planning process, aiming to give a measurable interpretation of the expected social impact of future electricity scenarios. A structured methodology, based on a combination of the Analytic Hierarchy Process and Delphi process, is proposed. The methodology is applied for the social evaluation of future electricity scenarios in Portugal, resulting in the elicitation and assignment of average social impact values for these scenarios. The proposed tool offers guidance to decision makers and presents a clear path to explicitly recognise and integrate the social preferences into electricity planning models.

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A multicriteria approach to evaluate wind energy plants on an Italian island

Cited by 217 publications

References 12 publications

Fuzzy Logic Based Multi-Criteria Wind Turbine Selection Strategy—A Case Study of Qassim, Saudi Arabia

Fuzzy Logic Based Multi-Criteria Wind Turbine Selection Strategy—A Case Study of Qassim, Saudi Arabia

MCDA-based Decision Support System for Sustainable Management – RES Case Study

The Integration of Social Concerns into Electricity Power Planning: A Combined Delphi and AHP Approach

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