A multi-objective optimisation approach applied to offshore wind farm location selection

Mytilinou, Varvara; Kolios, Athanasios

doi:10.1007/s40722-017-0092-8

Cited by 26 publications

(19 citation statements)

References 37 publications

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“…A brief introduction about fuzzy sets and fuzzy numbers, AHP and TOPSIS models are shown in Sections 3.2.1-3.2.3 of this paper. Zadeh (1965) [37] proposed a theory to deal with uncertainty environment conditions. The triangular fuzzy number (TFN) can be defined as (l, m, u).…”

Section: Methodsologymentioning

confidence: 99%

A Multi-Criteria Decision Making (MCDM) for Renewable Energy Plants Location Selection in Vietnam under a Fuzzy Environment

et al. 2018

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In the context of increasing energy demands in Vietnam, and as a result of the limited supply of domestic energy (oil/gas/coal reserves are exhausted), the potential for renewable energy sources in Vietnam is significant. Thus, building wind power plants in Vietnam is necessary. Access to this type of renewable energy not only contributes to society’s energy supply but also helps to save energy and reduce environmental pollution. Although some works have reviewed applications of the Multi-Criteria Decision Making (MCDM) model in wind power plant site selection, little research has focused on this problem in a fuzzy environment. This is the reason why a hybrid Fuzzy Analytic Hierarchy Process (FAHP) and The Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) are developed for wind power plant site selection in Vietnam. In the first stages of this research, an FAHP model is proposed for determining the weight of each potential location for building a wind power plant, based on qualitative and quantitative factors. A TOPSIS is applied for ranking all potential alternatives in the final stage. The authors collected data from seven locations, which have good conditions for investment in a wind power plant. The results indicate that Binh Thuan (Binh Thuan Province is located on coast of South Central Vietnam) is the best place for building a wind power plant in Vietnam. The contributions of this work proposed an MCDM approach under fuzzy environments for wind power plant location selection in Vietnam. This paper also resides in the evolution of a new approach that is flexible and practical for a decision-maker. This work also provides a useful guideline for wind power plant location selection in others countries.

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Section: Methodsologymentioning

confidence: 99%

A Multi-Criteria Decision Making (MCDM) for Renewable Energy Plants Location Selection in Vietnam under a Fuzzy Environment

et al. 2018

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“…It also provides implementations of several state-of-the-art algorithms, test problems and quality indicators, and also supports parallel processing. The algorithm implementations provided by the library have been used for various experiments in the EMO literature [4,39].…”

Section: Netmentioning

confidence: 99%

On Algorithmic Descriptions and Software Implementations for Multi-objective Optimisation: A Comparative Study

2020

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Multi-objective optimisation is a prominent subfield of optimisation with high relevance in real-world problems, such as engineering design. Over the past 2 decades, a multitude of heuristic algorithms for multi-objective optimisation have been introduced and some of them have become extremely popular. Some of the most promising and versatile algorithms have been implemented in software platforms. This article experimentally investigates the process of interpreting and implementing algorithms by examining multiple popular implementations of three well-known algorithms for multi-objective optimisation. We observed that official and broadly employed software platforms interpreted and thus implemented the same heuristic search algorithm differently. These different interpretations affect the algorithmic structure as well as the software implementation. Numerical results show that these differences cause statistically significant differences in performance.

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“…Furthermore, the three explicitly defined objective functions, outlined in Section 3.2, recommend the utilization of a multi-objective optimizer. Secondly, taking into account these demands, three common state-of-the-art gradient-free multi-objective optimizers [22] -NSGAII, NSGAIII (non-dominated sorting genetic algorithm III), and SPEA2 (strength Pareto evolutionary algorithm)are tested, using the open-source framework Platypus [21]. The comparison showed that NSGAII more accurately meets the constraints and objectives, better than NSGAIII, but is at the same time, compared to SPEA2, faster converging to an optimum solution.…”

Section: Optimization Settingsmentioning

confidence: 99%

Larger MW-Class Floater Designs Without Upscaling?: A Direct Optimization Approach

Leimeister

Kolios

Collu

et al. 2019

Volume 1: Offshore Technology; Offshore Geotechnics

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The trend towards larger offshore wind turbines (WTs) implies the need for bigger support structures. These are commonly derived from existing structures through upscaling and subsequent optimization. To reduce the number of design steps, this work proposes a direct optimization approach, by which means a support structure for a larger WT is obtained through an automated optimization procedure based on a smaller existing system. Due to the suitability of floating platforms for large MW-class WTs, this study is based on the OC3 spar-buoy designed for the NREL 5 MW WT. Using a Python-Modelica framework, developed at Fraunhofer IWES, the spar-buoy geometry is adjusted through iterative optimization steps to finally support a 7.5 MW WT. The optimization procedure focuses on the global system performance in a design-relevant load case. This study shows that larger support structures, appropriate to meet the objective of the hydrodynamic system behavior, can be obtained through automated optimization of existing designs without the intermediate step of upscaling.

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A multi-objective optimisation approach applied to offshore wind farm location selection

Cited by 26 publications

References 37 publications

A Multi-Criteria Decision Making (MCDM) for Renewable Energy Plants Location Selection in Vietnam under a Fuzzy Environment

A Multi-Criteria Decision Making (MCDM) for Renewable Energy Plants Location Selection in Vietnam under a Fuzzy Environment

On Algorithmic Descriptions and Software Implementations for Multi-objective Optimisation: A Comparative Study

Larger MW-Class Floater Designs Without Upscaling?: A Direct Optimization Approach

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