Offshore wind farm optimisation: a comparison of performance between regular and irregular wind turbine layouts

Author:

Sickler Maaike,Ummels Bart,Zaaijer MichielORCID,Schmehl RolandORCID,Dykes KatherineORCID

Abstract

Abstract. Layout optimisation is essential for improving the overall performance of offshore wind farms. During the past 15 years, the use of yield optimisation algorithms has resulted in a transition from regular to more irregular farm layouts. However, since the layout affects many factors, yield optimisation alone may not maximise the overall performance. In this paper, a comparative case study is presented to quantify the effect of the wind farm layout on the overall performance of offshore wind farms. The case study was performed to investigate two performance indicators: power performance, using yield calculations with windPRO, and wake-induced tower fatigue, using the Frandsen model. It is observed that irregular wind farm layouts have a higher annual energy production compared to regular layouts. Their power production is also more persistent and less sensitive to wind direction, improving predictability and thus the market value of power output. However, one turbine location in the irregular layout has a 24 % higher effective turbulence level, leading to additional tower fatigue. As a result, fatigue-driven tower designs would require increased wall thicknesses, which would result in higher capital costs for all turbine locations. It is demonstrated in this study that layout optimisation using minimum inter-turbine spacing effectively resolves the induced wake issue while maintaining high-yield performance.

Publisher

Copernicus GmbH

Subject

Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment

Reference25 articles.

1. Akay, B., Ragni, D., Ferreira, C. S., and Bussel, G. J. W. V.: Experimental investigation of the root flow in a horizontal axis wind turbine, Wind Energy, 17, 1093–1109, https://doi.org/10.1002/we.1620, 2014. a, b

2. Bortolotti, P., Tarres, H. C., Dykes, K. L., Merz, K., Sethuraman, L., Verelst, D., and Zahle, F.: IEA Wind TCP Task 37: Systems Engineering in Wind Energy – WP2.1 Reference Wind Turbines, Technical Report NREL/TP-5000-73492, NREL – National Renewable Energy Lab., Golden, CO, USA, https://doi.org/10.2172/1529216, 2019. a

3. Charhouni, N., Sallaou, M., and Mansouri, K.: Realistic wind farm design layout optimization with different wind turbines types, Int. J. Energ. Environ. Eng., 10, 307–318, https://doi.org/10.1007/s40095-019-0303-2, 2019. a, b, c

4. Chen, Y., Li, H., He, B., Wang, P., and Jin, K.: Multi-objective genetic algorithm based innovative wind farm layout optimization method, Energ. Convers. Manage., 105, 1318–1327, https://doi.org/10.1016/j.enconman.2015.09.011, 2015. a

5. DuPont, B., Cagan, J., and Moriarty, P.: Optimization of Wind Farm Layout and Wind Turbine Geometry Using a Multi-Level Extended Pattern Search Algorithm That Accounts for Variation in Wind Shear Profile Shape, in: ASME 2012 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, vol. 3: 38th Design Automation Conference, Parts A and B, 12–15 August 2012, Chicago, Illinois, USA, https://doi.org/10.1115/DETC2012-70290, 2012. a

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3