Assessing the effectiveness of a global optimum strategy within a tidal farm for power maximization. (15th October 2017)
- Record Type:
- Journal Article
- Title:
- Assessing the effectiveness of a global optimum strategy within a tidal farm for power maximization. (15th October 2017)
- Main Title:
- Assessing the effectiveness of a global optimum strategy within a tidal farm for power maximization
- Authors:
- Lo Brutto, Ottavio A.
Guillou, Sylvain S.
Thiébot, Jérôme
Gualous, Hamid - Abstract:
- Highlights: We assess the effectiveness of a global optimum strategy in tidal farms. The power is maximized by determining the operating point of each tidal turbine. The stronger is the flow interactions between devices, the more efficient is the strategy. Applying the strategy to the Alderney race, the mean power increases by 0.87%. Abstract: In the next years, tidal farm will increase in size and density of devices to obtain an economically significant amount of energy. Because of the high density of the devices within the farm, the turbines will be hydrodynamically coupled. The negative effects of this coupling could be reduced by optimizing the tidal farm layout or by optimizing the operating point of each turbine within the farm. In this paper, we investigate the second strategy. The objective is to maximize the overall production of the farm. The power of the upstream tidal turbines is then reduced, allowing the increase of power of the downstream turbines. The Binary Particle Swarm Optimization (BPSO) Algorithm is used in order to find the rotational speed for each device such that the net energy yield is optimized over a tidal cycle. The proposed methodology is firstly applied to an ideal case (i.e. tidal flow constant in magnitude and direction) to assess the influence of the machines density, the ambient turbulence rate and the speed magnitude on the power improvement rate. Secondly, the method is applied to a hypothetical tidal farm located in the Alderney RaceHighlights: We assess the effectiveness of a global optimum strategy in tidal farms. The power is maximized by determining the operating point of each tidal turbine. The stronger is the flow interactions between devices, the more efficient is the strategy. Applying the strategy to the Alderney race, the mean power increases by 0.87%. Abstract: In the next years, tidal farm will increase in size and density of devices to obtain an economically significant amount of energy. Because of the high density of the devices within the farm, the turbines will be hydrodynamically coupled. The negative effects of this coupling could be reduced by optimizing the tidal farm layout or by optimizing the operating point of each turbine within the farm. In this paper, we investigate the second strategy. The objective is to maximize the overall production of the farm. The power of the upstream tidal turbines is then reduced, allowing the increase of power of the downstream turbines. The Binary Particle Swarm Optimization (BPSO) Algorithm is used in order to find the rotational speed for each device such that the net energy yield is optimized over a tidal cycle. The proposed methodology is firstly applied to an ideal case (i.e. tidal flow constant in magnitude and direction) to assess the influence of the machines density, the ambient turbulence rate and the speed magnitude on the power improvement rate. Secondly, the method is applied to a hypothetical tidal farm located in the Alderney Race (Raz Blanchard in French), situated between the Alderney Island and La Hague Cape (France). The results of these scenarios indicate that the proposed strategy is interesting mainly when the density of devices is high and/or when the ambient turbulence rate is lower than 10%. In this cases, it is possible to improve the rate by 2.5%. … (more)
- Is Part Of:
- Applied energy. Volume 204(2017)
- Journal:
- Applied energy
- Issue:
- Volume 204(2017)
- Issue Display:
- Volume 204, Issue 2017 (2017)
- Year:
- 2017
- Volume:
- 204
- Issue:
- 2017
- Issue Sort Value:
- 2017-0204-2017-0000
- Page Start:
- 653
- Page End:
- 666
- Publication Date:
- 2017-10-15
- Subjects:
- Tidal farm -- Power maximization -- Global optimum strategy -- Self-optimum strategy -- Wake effect
Power (Mechanics) -- Periodicals
Energy conservation -- Periodicals
Energy conversion -- Periodicals
621.042 - Journal URLs:
- http://www.sciencedirect.com/science/journal/03062619 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.apenergy.2017.07.090 ↗
- Languages:
- English
- ISSNs:
- 0306-2619
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 1572.300000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 5301.xml