Wind Turbine Placement Optimization by means of the Monte Carlo Simulation Method. (9th June 2014)
- Record Type:
- Journal Article
- Title:
- Wind Turbine Placement Optimization by means of the Monte Carlo Simulation Method. (9th June 2014)
- Main Title:
- Wind Turbine Placement Optimization by means of the Monte Carlo Simulation Method
- Authors:
- Brusca, S.
Lanzafame, R.
Messina, M. - Other Names:
- Trabia Mohamed B. Academic Editor.
- Abstract:
- Abstract : This paper defines a new procedure for optimising wind farm turbine placement by means of Monte Carlo simulation method. To verify the algorithm's accuracy, an experimental wind farm was tested in a wind tunnel. On the basis of experimental measurements, the error on wind farm power output was less than 4%. The optimization maximises the energy production criterion; wind turbines' ground positions were used as independent variables. Moreover, the mathematical model takes into account annual wind intensities and directions and wind turbine interaction. The optimization of a wind farm on a real site was carried out using measured wind data, dominant wind direction, and intensity data as inputs to run the Monte Carlo simulations. There were 30 turbines in the wind park, each rated at 20 kW. This choice was based on wind farm economics. The site was proportionally divided into 100 square cells, taking into account a minimum windward and crosswind distance between the turbines. The results highlight that the dominant wind intensity factor tends to overestimate the annual energy production by about 8%. Thus, the proposed method leads to a more precise annual energy evaluation and to a more optimal placement of the wind turbines.
- Is Part Of:
- Modelling and simulation in engineering. Volume 2014(2014)
- Journal:
- Modelling and simulation in engineering
- Issue:
- Volume 2014(2014)
- Issue Display:
- Volume 2014, Issue 2014 (2014)
- Year:
- 2014
- Volume:
- 2014
- Issue:
- 2014
- Issue Sort Value:
- 2014-2014-2014-0000
- Page Start:
- Page End:
- Publication Date:
- 2014-06-09
- Subjects:
- Engineering -- Simulation methods -- Periodicals
Engineering -- Mathematical models -- Periodicals
620.004 - Journal URLs:
- https://www.hindawi.com/journals/mse/ ↗
- DOI:
- 10.1155/2014/760934 ↗
- Languages:
- English
- ISSNs:
- 1687-5591
- Deposit Type:
- Legaldeposit
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- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD Digital store
- Ingest File:
- 10546.xml