Integrated FUZZY-AHP-TOPSIS Model for Offshore Wind Farm Site Evaluation Selection: Ninh Thuan Province case

In the aftermath of the COVID-19 pandemic, the paramount task lies in revitalizing and propelling the economy, political landscape, and education sector while embracing the global shift toward adopting clean and renewable energy sources. The pressing issue of climate change, with its detrimental consequences on the environment and human well-being, has propelled a vigorous transition towards sustainable renewable energy sources, such as offshore wind power. This study focuses on selecting criteria to optimize the location of offshore wind farms in Ninh Thuan province, representing a comprehensive and specialized effort within the Vietnamese research context.The integrated method of Multi-Criteria Decision Making (MCDM), specifically the fusion of Fuzzy-AHP-TOPSIS, is employed to evaluate and select ideal sites for offshore wind farms. Utilizing the hierarchical FUZZY-AHP analysis method, the weightings of four evaluation criteria are determined, including technical, economic, social, and environmental. Subsequently, the TOPSIS object ranking model is applied to yield optimal results based on the initial ranking order of the criteria.By developing this combined method, the study offers stringent methodological support for site selection to achieve benefits in coastal zone management. Furthermore, it makes significant contributions to the field of wind energy, aiding decision-making processes in selecting and optimizing offshore wind farms, particularly in Ninh Thuan. The assessment criteria and this methodology could be extended to other coastal municipalities to advance Integrated Coastal Management (ICM) towards sustainability objectives.

Authors

Institutions

Publication Details

Published
2024-12-01
DOI
https://doi.org/10.1109/iclie61478.2024.11015368
Primary Topic
Multi-Criteria Decision Making
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Integrated FUZZY-AHP-TOPSIS Model for Offshore Wind Farm Site Evaluation Selection: Ninh Thuan Province case

Do Thi Nhung, Ha Nguyen Ngan, Le Nguyen Thi Diem, Nhi Thai Hoang Tuyet
Multi-Criteria Decision Making
article

Integrated FUZZY-AHP-TOPSIS Model for Offshore Wind Farm Site Evaluation Selection: Ninh Thuan Province case

Do Thi Nhung, Ha Nguyen Ngan, Le Nguyen Thi Diem, Nhi Thai Hoang Tuyet
article en

Abstract

In the aftermath of the COVID-19 pandemic, the paramount task lies in revitalizing and propelling the economy, political landscape, and education sector while embracing the global shift toward adopting clean and renewable energy sources. The pressing issue of climate change, with its detrimental consequences on the environment and human well-being, has propelled a vigorous transition towards sustainable renewable energy sources, such as offshore wind power. This study focuses on selecting criteria to optimize the location of offshore wind farms in Ninh Thuan province, representing a comprehensive and specialized effort within the Vietnamese research context.The integrated method of Multi-Criteria Decision Making (MCDM), specifically the fusion of Fuzzy-AHP-TOPSIS, is employed to evaluate and select ideal sites for offshore wind farms. Utilizing the hierarchical FUZZY-AHP analysis method, the weightings of four evaluation criteria are determined, including technical, economic, social, and environmental. Subsequently, the TOPSIS object ranking model is applied to yield optimal results based on the initial ranking order of the criteria.By developing this combined method, the study offers stringent methodological support for site selection to achieve benefits in coastal zone management. Furthermore, it makes significant contributions to the field of wind energy, aiding decision-making processes in selecting and optimizing offshore wind farms, particularly in Ninh Thuan. The assessment criteria and this methodology could be extended to other coastal municipalities to advance Integrated Coastal Management (ICM) towards sustainability objectives.

Van Lang University (VN)
Affordable and clean energy
Openalex Percentile: Top 64%
Multi-Criteria Decision Making
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.