Design of wind farm layout with non-uniform turbines using fitness difference based BBO
- Submitting institution
-
Liverpool Hope University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- AKN35C
- Type
- D - Journal article
- DOI
-
10.1016/j.engappai.2018.02.007
- Title of journal
- Engineering Applications of Artificial Intelligence
- Article number
- -
- First page
- 45-59
- Volume
- 71
- Issue
- -
- ISSN
- 0952-1976
- Open access status
- Compliant
- Month of publication
- May
- Year of publication
- 2018
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- Yes
- Number of additional authors
-
2
- Research group(s)
-
I - Intelligent and Distributed Systems (IDS)
- Citation count
- 10
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This work was initiated during Nagar's sabbatical visit on an Indian Government's "Human Resource Development in Mathematics” grant (No. SR/S4/MS:559/08.); 2013/14).
We achieve both, Biogeography-based optimization to find the optimal location of wind turbines as well as the optimal configuration (hub height and rotor radius) so that the total annual energy output is maximum.
The Significance is it can help the wind farm manufacturers to decide the
a. Maximum number of turbines to fit in a given wind-farm
b. Optimal locations and configuration of the wind-turbines.
c. The study can be generalized.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
