Offshore Wind Farm Layout Optimisation Considering Wake Effect and Power Losses

被引:13
|
作者
Baptista, Jose [1 ,2 ]
Jesus, Beatriz [1 ]
Cerveira, Adelaide [2 ,3 ]
Pires, Eduardo J. Solteiro [1 ,2 ]
机构
[1] Univ Tras Os Montes & Alto Douro, Dept Engn, P-5000801 Vila Real, Portugal
[2] INESC TEC UTAD Pole, P-5000801 Vila Real, Portugal
[3] Univ Tras Os Montes & Alto Douro, Dept Math, P-5000801 Vila Real, Portugal
关键词
nonlinear linear programming; offshore wind farm; optimisation; power losses; techno-economic analysis; wake effect; STATISTICAL-ANALYSIS; WEIBULL; DESIGN; DISTRIBUTIONS; MODELS; SPEED;
D O I
10.3390/su15139893
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The last two decades have witnessed a new paradigm in terms of electrical energy production. The production of electricity from renewable sources has come to play a leading role, thus allowing us not only to face the global increase in energy consumption, but also to achieve the objectives of decarbonising the economies of several countries. In this scenario, where onshore wind energy is practically exhausted, several countries are betting on constructing offshore wind farms. Since all the costs involved are higher when compared to onshore, optimising the efficiency of this type of infrastructure as much as possible is essential. The main aim of this paper was to develop an optimisation model to find the best wind turbine locations for offshore wind farms and to obtain the wind farm layout to maximise the profit, avoiding cable crossings, taking into account the wake effect and power losses. The ideal positioning of wind turbines is important for maximising the production of electrical energy. Furthermore, a techno-economic analysis was performed to calculate the main economic indicators, namely the net present value, the internal rate of return, and the payback period, to support the decision-making. The results showed that the developed model found the best solution that maximised the profits of the wind farm during its lifetime. It also showed that the location of the offshore substation played a key role in achieving these goals.
引用
收藏
页数:22
相关论文
共 50 条
  • [41] Optimal Layout of a Wind Farm Considering Multiple Wind Directions
    Xie, Kaigui
    Yang, Hejun
    Hu, Bo
    Li, Chunyan
    2014 INTERNATIONAL CONFERENCE ON PROBABILISTIC METHODS APPLIED TO POWER SYSTEMS (PMAPS), 2014,
  • [42] The impact of wind direction on wind farm power output calculation considering the wake effects of wind turbines
    Narain, Aishvarya
    Srivastava, Sudhir Kumar
    Singh, Sri Nivas
    WIND ENGINEERING, 2023, 47 (01) : 74 - 85
  • [43] Design of Wake Control Strategy for Offshore Wind Farm
    Liu, Meijie
    Zhu, Yu
    Tong, Yongjie
    PROCEEDINGS OF THE 32ND 2020 CHINESE CONTROL AND DECISION CONFERENCE (CCDC 2020), 2020, : 5506 - 5513
  • [44] Demand Response Risk Based Stochastic Power System Scheduling Considering Wind Farm Wake Effect
    Chen, J. J.
    Zhao, Y. L.
    2017 IEEE CONFERENCE ON ENERGY INTERNET AND ENERGY SYSTEM INTEGRATION (EI2), 2017,
  • [45] Optimal Capacity Configuration of Distributed Offshore Wind Power-to-Hydrogen Cluster Considering Wake Effect
    Li J.
    Lin J.
    Chen K.
    Song Y.
    Xu Y.
    Dianli Xitong Zidonghua/Automation of Electric Power Systems, 2023, 47 (11): : 9 - 17
  • [46] An optimisation model for scheduling the decommissioning of an offshore wind farm
    Chandra Ade Irawan
    Graham Wall
    Dylan Jones
    OR Spectrum, 2019, 41 : 513 - 548
  • [47] Study of aerodynamic performance and wake effects for offshore wind farm cluster
    Cao, Jiufa
    Qin, Zhaojie
    Gao, Xiang
    Pu, Tianmei
    Zhu, Weijun
    Ke, Shitang
    Shen, Xiang
    OCEAN ENGINEERING, 2023, 280
  • [48] An optimisation model for scheduling the decommissioning of an offshore wind farm
    Irawan, Chandra Ade
    Wall, Graham
    Jones, Dylan
    OR SPECTRUM, 2019, 41 (02) : 513 - 548
  • [49] Wind farm layout optimization with a three-dimensional Gaussian wake model
    Tao, Siyu
    Xu, Qingshan
    Feijoo, Andres
    Zheng, Gang
    Zhou, Jiemin
    RENEWABLE ENERGY, 2020, 159 : 553 - 569
  • [50] Layout optimization of a wind farm considering grids of various resolutions, wake effect, and realistic wind speed and wind direction data: A techno-economic assessment
    Masoudi, Seiied Mohsen
    Baneshi, Mehdi
    ENERGY, 2022, 244