scholarly journals Determining the Optimal Offshore Wind Power Station Using a Two-Stage MCDM-Based Spherical Fuzzy Set Approach

Author(s):  
Chia-Nan Wang ◽  
Ngoc-Ai-Thy Nguyen ◽  
Thanh-Tuan Dang

Abstract In response to challenges from the COVID-19 pandemic and climate change to achieve the goal of ensuring sustainable economic growth, offshore wind power development not only provides a clean and sustainable source of energy but also provides opportunities for economic growth and job creation. Offshore wind energy projects have been promptly suggested in Vietnam as a result of policy advancement, with the country's excellent wind resources. The success of an offshore wind energy project is decided mainly by choosing the best location for offshore wind power station (OWPS) construction, which is a complex multicriteria decision-making (MCDM) problem with the coexistence of conflicting factors. There is a problem with incomplete decision information use and information loss during the decision-making process, and it is easy to overlook the interaction difficulty in a fuzzy environment. To address the complex nature of the prioritization problem posed, this study proposes a hybrid MCDM framework combining the spherical fuzzy analytical hierarchy process (SF-AHP) and weighted aggregated sum product assessment (WASPAS). SF-AHP is used in the first stage to determine the significance levels of OWPS evaluation criteria. WASPAS is then utilized to rank locations of OWPS. A comprehensive set of evaluation criteria developed based on the concept of sustainable development has been recognized by reviewing the literature review and interviewing experts to practice the two-stage MCDM model. A real case study for Vietnam is conducted to test the effectiveness of the proposed method. The best location schemes have been determined by using the decision framework. The results of the sensitivity analysis and a comparison analysis demonstrate that the decision framework is practical and robust. Ultimately, the evaluation criteria and methodology presented in this work can serve as a theoretical foundation for the advancement of offshore wind energy and coastal development.

Author(s):  
Yukinari FUKUMOTO ◽  
Osamu MAEDA ◽  
Takako FUKUYAMA ◽  
Tsuyoshi IKEYA ◽  
Satoshi INAGAKI ◽  
...  

2014 ◽  
Vol 70 (2) ◽  
pp. I_1046-I_1050
Author(s):  
Takako FUKUYAMA ◽  
Nobuyuki IWAMAE ◽  
Koji HAYASHIDA ◽  
Tsuyoshi IKEYA ◽  
Hiroyuki SUKEGAWA ◽  
...  

Energies ◽  
2021 ◽  
Vol 14 (16) ◽  
pp. 4883
Author(s):  
Kamila Pronińska ◽  
Krzysztof Księżopolski

A key question for European energy transition is which forms of renewable energy technologies will play a central role in this process. The recent dynamic growth in offshore wind power together with the vast wind energy potential of the European seas, including the Baltic Sea, make this technology an increasingly attractive and viable option. Considering the high installation and connection costs, government support is considered essential for the development of offshore wind power. The aim of this article is to analyze Poland’s public policy tools, which govern offshore wind farm development, and to present them from a wider geostrategic perspective. Authors identify, classify, and evaluate individual public policy tools with the use of multi-criteria and multi-dimensional methods while explaining their impact on offshore wind development in Poland. The analysis of the individual tools has shown that the currently applied tools give a high probability of achieving public policy objectives. The characteristics of the applied tools prove that vital decisions on offshore wind energy have been made concerning the need for decarbonization but also regarding wider geostrategic calculations. Given the changing security dynamics in the Baltic Sea region, we highlight potential geostrategic risks to the implementation of offshore wind projects.


2020 ◽  
Author(s):  
Axel Kleidon ◽  
Lee Miller

<p>Offshore wind power is seen as a large renewable energy resource due to the high and continuous wind speeds over the ocean.However, as wind farms expand in scale, wind turbines increasingly remove kinetic energy from the atmospheric flow, reducing wind speeds and expected electricity yields.Here we show that this removal effect of large wind farms and the drop in yields can be estimated in a relatively simple way by considering the kinetic energy budget of the lower atmosphere, which we refer to as the KEBA approach.We first show that KEBA can reproduce the estimated, climatological yields of wind farms of different sizes and locations using previously published numerical model simulations with an explicit wind farm representation.<span>  </span>We then show the relevance of these reductions by evaluating the contribution of offshore wind energy in specific scenarios of Germany’s energy transition in the year 2050.Our estimates suggest that due to reduced wind speeds, mean capacity factors of wind farms are reduced to 33 - 39%, which is notably less than capacity factors above 50% that are commonly assumed in energy scenarios.This reduction is explained by KEBA by the depletion of the horizontal flow of kinetic energy by the wind farms and the low vertical renewal rate, which limits large-scale wind energy potentials to less than 1 W m<sup>-2</sup> of surface area.We conclude that wind speed reductions are likely to play a substantial role in the further expansion of offshore wind energy and need to be considered in the planning process.These reduced yields can be estimated by a comparatively simple approach based on budgeting the kinetic energy of the atmosphere surrounding the wind farms.</p>


2019 ◽  
Vol 141 (6) ◽  
Author(s):  
Xun Xu ◽  
Fen Lai ◽  
Guojun Li ◽  
Xiangyuan Zhu ◽  
Liping Zhu

With the increasing demand for clean energy, offshore wind power is developing rapidly. But compared to onshore situation, the working environment at sea is very complicated. In order to ensure the stable operation of generators, higher requirements are put forward for the capability of offshore wind power structures to resist wind and waves. This paper proposes a new combined vibration suppressing device, which can be used to suppress the swaying vibration of offshore floating wind generator under waves. The floating wind power station tower was modeled, the wave force and the torsion force of the tower were analyzed, and the fluid structure interaction numerical simulation was carried out. The calculation results demonstrate that the amplitudes of the tower torsion angle have been attenuated by 8%, 11%, and 17% with different vibration suppression devices which are tuned mass damper (TMD), tuned liquid damper (TLD), and a tuned immersed mass and liquid damper. In this case, the new combined device has the best vibration suppression performance. It is validated that compared to the other two single vibration suppression devices, the new combined device has better vibration suppression capacity, and a new way is provided to design the vibration suppression device for offshore floating wind power station.


2013 ◽  
Vol 2013 ◽  
pp. 1-10 ◽  
Author(s):  
Lita Lizuma ◽  
Zanita Avotniece ◽  
Sergejs Rupainis ◽  
Artis Teilans

Offshore wind energy development promises to be a significant domestic renewable energy source in Latvia. The reliable prediction of present and future wind resources at offshore sites is crucial for planning and selecting the location for wind farms. The overall goal of this paper is the assessment of offshore wind power potential in a target territory of the Baltic Sea near the Latvian coast as well as the identification of a trend in the future wind energy potential for the study territory. The regional climate model CLM and High Resolution Limited Area Model (Hirlam) simulations were used to obtain the wind climatology data for the study area. The results indicated that offshore wind energy is promising for expanding the national electricity generation and will continue to be a stable resource for electricity generation in the region over the 21st century.


2016 ◽  
Vol 10 (2) ◽  
pp. 266-282 ◽  
Author(s):  
Kannan Govindan ◽  
Madan Shankar

Purpose The purpose of this paper is to evaluate the essential barrier and reveal the priority among common barriers to offshore wind energy in an Indian context with the assistance of the proposed framework. Design/methodology/approach Based on the proposed framework, a five-phase methodology was adapted to explore the essential barrier step by step. The common barriers, which were collected from the existing literatures through a systematic review, were further validated by field experts. The collected common barriers were evaluated with the assistance of the case industry’s field professionals through an analytical hierarchy process, a multi-criteria decision-making tool, to evaluate the barriers to Indian offshore wind energy. Findings Among the 12 common barriers to offshore wind energy, it is clear that “high capital cost” is the most essential barrier involved in the implementation of offshore wind energy farms in the Indian context. Practical implications This study reveals the importance of offshore wind power as a long-term profitable strategy to the case company within the Indian context. By addressing the essential barriers to the implementation of offshore wind farms, the Indian offshore wind system managers can train their employees to counteract the hindrances through the benchmarking of pioneering global offshore wind power developers such as Denmark and the UK. Further, this study provides useful suggestions to the Indian Government regarding policies for offshore wind energy; it also clearly projects the current status of the Indian offshore wind farm implementation. Originality/value This study assists Indian key stakeholders of offshore wind energy by indicating the essential barrier in an Indian context; they can remove the particular barrier instead of focusing on others that previous studies have identified. Further, this study brings out the importance of offshore wind power in an Indian context, which can urge stakeholders to invest more in offshore wind farms.


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