Location selection for offshore wind power station using interval-valued intuitionistic fuzzy distance...

Area of Science:

• Renewable Energy Systems
• Decision Science
• Environmental Management

Background:

• Offshore wind energy is crucial for sustainable development, but site selection is complex.
• Existing methods often struggle with the inherent uncertainties in evaluating offshore wind power station (OWPS) locations.
• Accurate site assessment is vital for maximizing project performance and capacity.

Purpose of the Study:

• To develop a novel decision-making model for assessing OWPS locations.
• To incorporate multiple criteria and uncertainty perspectives using interval-valued intuitionistic fuzzy sets (IVIFS).
• To provide a framework for robust and stable OWPS site selection.

Main Methods:

• Utilized interval-valued intuitionistic fuzzy sets (IVIFS) to handle uncertain information.
• Developed an improved distance measure for IVIFSs to derive objective criteria weights.
• Employed the RANking COMparison (RANCOM) method for subjective criteria weights.
• Integrated objective and subjective weights using a hybrid IVIFS Weighted integrated Sum Product (WISP) approach.

Main Results:

• An innovative decision analysis framework for OWPS location assessment was developed.
• The proposed IVIF-distance measure and WISP approach demonstrated effectiveness in handling uncertainty.
• The model was successfully applied to an OWPS location selection problem in Gujarat, India.
• Sensitivity and comparative analyses confirmed the robustness and stability of the WISP approach.

Conclusions:

• The developed hybrid WISP approach offers a significant contribution to OWPS site assessment under uncertainty.
• The decision-making framework enhances the selection process for offshore wind energy projects.
• This research provides a reliable tool for optimizing the placement of offshore wind power stations.