scholarly journals Decision Support Tool for Offshore Wind Farm Vessel Routing under Uncertainty

Energies ◽  
2018 ◽  
Vol 11 (9) ◽  
pp. 2190 ◽  
Author(s):  
Rafael Dawid ◽  
David McMillan ◽  
Matthew Revie
Keyword(s):  
Wind Farm ◽  
Real Life ◽  
Synthetic Data ◽  
Optimal Solution ◽  
Decision Support Tool ◽  
Offshore Wind ◽  
Offshore Wind Farm ◽  
Support Tool ◽  
Trade Offs ◽  
The Impact

This paper for the first time captures the impact of uncertain maintenance action times on vessel routing for realistic offshore wind farm problems. A novel methodology is presented to incorporate uncertainties, e.g., on the expected maintenance duration, into the decision-making process. Users specify the extent to which these unknown elements impact the suggested vessel routing strategy. If uncertainties are present, the tool outputs multiple vessel routing policies with varying likelihoods of success. To demonstrate the tool’s capabilities, two case studies were presented. Firstly, simulations based on synthetic data illustrate that in a scenario with uncertainties, the cost-optimal solution is not necessarily the best choice for operators. Including uncertainties when calculating the vessel routing policy led to a 14% increase in the number of wind turbines maintained at the end of the day. Secondly, the tool was applied to a real-life scenario based on an offshore wind farm in collaboration with a United Kingdom (UK) operator. The results showed that the assignment of vessels to turbines generated by the tool matched the policy chosen by wind farm operators. By producing a range of policies for consideration, this tool provided operators with a structured and transparent method to assess trade-offs and justify decisions.

scholarly journals Exploring the impact of innovative developments to the installation process for an offshore wind farm

2015 ◽  
Vol 109 ◽  
pp. 623-634 ◽  
Author(s):  
Euan Barlow ◽  
Diclehan Tezcaner Öztürk ◽  
Matthew Revie ◽  
Evangelos Boulougouris ◽  
Alexander H. Day ◽  
...  
Keyword(s):  
Wind Farm ◽  
Offshore Wind ◽  
Offshore Wind Farm ◽  
The Impact

Research of Large-Scale Offshore Wind Farm Collection System Short Circuit Equivalent Network

2013 ◽  
Vol 448-453 ◽  
pp. 1732-1737
Author(s):  
Liu Bin ◽  
Hong Wei Cui ◽  
Li Xu ◽  
Kun Wang ◽  
Zhu Zhan ◽  
...  
Keyword(s):  
Large Scale ◽  
Wind Farm ◽  
Short Circuit ◽  
Short Circuit Current ◽  
System Optimization ◽  
Offshore Wind ◽  
Offshore Wind Farm ◽  
Collection System ◽  
Medium Voltage ◽  
The Impact

This paper analyses the characteristics of large-scale offshore wind farm collection network and the impact of the medium voltage collection system optimization,while from the electrical technology point,it proposes the short circuit current of the collection network computational model and algorithms,based on the principle of equivalent circuit.Taking a wind power coolection system planned for a certain offshore wind farm planning for example, the validity of the model and algorithm is verified.

scholarly journals The Impact of an Offshore Wind Farm on Commercial and Recreational Fishermen

2018 ◽  
Author(s):  
Talya Tenbrink ◽  
Tracey Dalton ◽  
Julia Livermore
Keyword(s):  
Wind Farm ◽  
Offshore Wind ◽  
Offshore Wind Farm ◽  
The Impact

scholarly journals Realistic Optimization of Parallelogram-Shaped Offshore Wind Farms Considering Continuously Distributed Wind Resources

Energies ◽  
2021 ◽  
Vol 14 (10) ◽  
pp. 2895
Author(s):  
Angel G. Gonzalez-Rodriguez ◽  
Javier Serrano-González ◽  
Manuel Burgos-Payán ◽  
Jesús Manuel Riquelme-Santos
Keyword(s):  
Power Plants ◽  
Wind Farm ◽  
Continuous Distribution ◽  
Optimal Solution ◽  
Wind Farms ◽  
Offshore Wind ◽  
Optimization Approach ◽  
Offshore Wind Farm ◽  
Wind Rose ◽  
Offshore Wind Farms

Offshore wind power plants are becoming a realistic option for the renewable production of electricity. As an improvement tool to the profitability of OWFs, this work presents the first complete non-genetic (and non-binary) evolutionary algorithm to optimize the location, size and layout of a parallelogram-shaped offshore wind farm, as the arrangement that is becoming an standard for offshore wind farms. It has been tested in the HR-I site. Most relevant economic data influencing the investment profitability have been taken into account. In addition, the paper introduces a new approach to offshore wind farm optimization based on a continuous behaviour of varying wind conditions, which allows a more realistic estimation of the energy produced. The proposed optimization approach has been tested based on the available information from HR-I. Obtained solutions present similar values to the actual offshore wind farm in terms of investment and annual energy produced, but differs with respect to the optimal orientation and profitability. The contributions of this paper are: it details the first method to interpolate a continuous distribution of wind rose and Weibull parameters; it presents the first algorithm to obtain a realistic optimal solution to the location+sizing+micro-siting problem for regular arrangements; it is prepared to work with the most complete set of economic, bathymetric, and wind data.

Optimizing the Layout of Offshore Wind Energy Systems

2008 ◽  
Vol 42 (2) ◽  
pp. 19-27 ◽  
Author(s):  
Christopher N. Elkinton ◽  
James F. Manwell ◽  
Jon G. McGowan
Keyword(s):  
Wind Energy ◽  
Energy Production ◽  
Wind Farm ◽  
Offshore Wind ◽  
Offshore Wind Energy ◽  
Offshore Wind Farm ◽  
Wind Farm Layout ◽  
Trade Offs ◽  
Cost Of Energy ◽  
The Cost

Offshore wind energy technology is a reality in Europe and is poised to make a significant contribution to the U.S. energy supply in the near future as well. The layout of an offshore wind farm is a complex problem involving many trade-offs. For example, energy production increases with turbine spacing, as do electrical costs and losses. Energy production also increases with distance from shore, but so do O&M (operations and maintenance), foundation, transmission, and installation costs. Determining which of these factors dominates requires a thorough understanding of the physics behind these trade-offs, can lead to the optimal layout, and helps lower the cost of energy from these farms. This paper presents the results of a study carried out to investigate these trade-offs and to develop a method for optimizing the wind farm layout during the micrositing phase of an offshore wind energy system design. It presents a method for analyzing the cost of energy from offshore wind farms as well as a summary of the development of an offshore wind farm layout optimization tool. In addition to an initial validation of the optimization tool, an example of the use of this tool for the design of an offshore wind farm in Hull, Massachusetts, is also given.

scholarly journals Competition for marine space: modelling the Baltic Sea fisheries and effort displacement under spatial restrictions

2014 ◽  
Vol 72 (3) ◽  
pp. 824-840 ◽  
Author(s):  
Francois Bastardie ◽  
J. Rasmus Nielsen ◽  
O. R. Eigaard ◽  
H. O. Fock ◽  
P. Jonsson ◽  
...  
Keyword(s):  
Baltic Sea ◽  
Fishery Management ◽  
Decision Support Tool ◽  
Support Tool ◽  
Positive Effects ◽  
Trade Offs ◽  
Resource Dynamics ◽  
Maritime Spatial Planning ◽  
The Baltic ◽  
The Impact

AbstractMaritime spatial planning (MSP) and fishery management may generate extra costs for fisheries by constraining fishers activity with conservation areas and new utilizations of the sea. More energy-efficient fisheries are also likely to alter existing fishing patterns, which already vary from fishery to fishery and from vessel to vessel. The impact assessment of new spatial plans involving fisheries should be based on quantitative bioeconomic analyses that take into account individual vessel decisions, and trade-offs in cross-sector conflicting interests. We use a vessel-oriented decision-support tool (the DISPLACE model) to combine stochastic variations in spatial fishing activities with harvested resource dynamics in scenario projections. The assessment computes economic and stock status indicators by modelling the activity of Danish, Swedish, and German vessels (>12 m) in the international western Baltic Sea commercial fishery, together with the underlying size-based distribution dynamics of the main fishery resources of sprat, herring, and cod. The outcomes of alternative scenarios for spatial effort displacement are exemplified by evaluating the fishers's abilities to adapt to spatial plans under various constraints. Interlinked spatial, technical, and biological dynamics of vessels and stocks in the scenarios result in stable profits, which compensate for the additional costs from effort displacement and release pressure on the fish stocks. The effort is further redirected away from sensitive benthic habitats, enhancing the ecological positive effects. The energy efficiency of some of the vessels, however, is strongly reduced with the new zonation, and some of the vessels suffer decreased profits. The DISPLACE model serves as a spatially explicit bioeconomic benchmark tool for management strategy evaluations for capturing tactical decision-making in reaction to MSP.

A decision-support tool for autumn management in a spring-calving pasture-based dairy system

2017 ◽  
Vol 57 (7) ◽  
pp. 1343 ◽  
Author(s):  
Mark Neal ◽  
Jane Kay ◽  
Sally Peel ◽  
Sean McCarthy
Keyword(s):  
Decision Support ◽  
Body Condition ◽  
Body Condition Score ◽  
Management Strategies ◽  
Decision Support Tool ◽  
Current Season ◽  
Support Tool ◽  
Trade Offs ◽  
Milking Frequency ◽  
The Impact

Success in a pasture-based dairy system relies on matching feed supply and feed demand in a profitable manner. Autumn is an important period for decision making to maximise current-season profitability, while ensuring key targets such as cow body condition score and the level of average pasture cover are met for the upcoming season. There are many tactical management strategies for farmers to consider during autumn to ensure that profitability is maximised in the current and next season (e.g. feeding crops, purchasing or using available supplementary feeds, reducing milking frequency, grazing off young stock, culling, or drying off cows). The complexity of trade-offs among these factors from January to calving, and the need to assess the impact of each of these on seasonal profitability led to the development of the ‘DairyNZ Autumn Management Resource’. This resource is an energy-based model that calculates the profit from different management strategies in pasture-based spring-calving systems. Feed demand is initially set to ensure that target body condition is achieved for the next season, and can then be altered using variables such as milking frequency, number of cows in milk and stock grazing on-farm. The assumption is made that energy supply comes from grazed pasture and crop first, followed by conserved forages, with the opportunity to fill remaining gaps with purchased feed. The model is a decision-support resource for farmers during the autumn that compares the economics of different management strategies in the current season, while ensuring that the performance in the next season is not compromised.

Assessing the Impact of Offshore Wind Farm Grid Configuration on Harmonic Stability

2019 ◽  
Author(s):  
Matthias Quester ◽  
Viswaja Yellisetti ◽  
Fisnik Loku ◽  
Ralf Puffer
Keyword(s):  
Wind Farm ◽  
Offshore Wind ◽  
Offshore Wind Farm ◽  
Harmonic Stability ◽  
The Impact
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