A novel review on optimization techniques used in wind farm modelling. (December 2020)
- Record Type:
- Journal Article
- Title:
- A novel review on optimization techniques used in wind farm modelling. (December 2020)
- Main Title:
- A novel review on optimization techniques used in wind farm modelling
- Authors:
- Balasubramanian, Karthik
Thanikanti, Sudhakar Babu
Subramaniam, Umashankar
N., Sudhakar
Sichilalu, Sam - Abstract:
- Highlights: Detailed on various optimization techniques used in wind farm modelling. Detailed on several modelling approaches used in wind farm technology. Various performance parameters were compared; cell technologies, convergence speed, computational domain, complexity etc. Detailed cost statistics are presented based on the Turbine installation, foundation concept, maintenance and operations. Future trends of wind farm optimisation techniques research are also discussed in this review paper. Abstract : The important interest and efforts devoted by industries and academic research institutions to electricity production from renewable and clean energy with the maturity of existed technologies justify the biggest exploitation of wind energy over the recent years. With the reduction in oil prices, renewable energy is way forward for efficient and environment friendly energy generation. Out of all existing available renewable energy, Wind Energy is the front runner owing to its ability of efficient power generation and to produce energy at large scale. Due to the non linear nature of wind energy, Optimization techniques are extremely critical as they are solely responsible for building an effective wind farm. Layout optimization is performed by using soft computing techniques and are extensively studied in the available literature. Therefore, this review paper highlights the significant research works of wind farm modelling using optimization techniques. This work alsoHighlights: Detailed on various optimization techniques used in wind farm modelling. Detailed on several modelling approaches used in wind farm technology. Various performance parameters were compared; cell technologies, convergence speed, computational domain, complexity etc. Detailed cost statistics are presented based on the Turbine installation, foundation concept, maintenance and operations. Future trends of wind farm optimisation techniques research are also discussed in this review paper. Abstract : The important interest and efforts devoted by industries and academic research institutions to electricity production from renewable and clean energy with the maturity of existed technologies justify the biggest exploitation of wind energy over the recent years. With the reduction in oil prices, renewable energy is way forward for efficient and environment friendly energy generation. Out of all existing available renewable energy, Wind Energy is the front runner owing to its ability of efficient power generation and to produce energy at large scale. Due to the non linear nature of wind energy, Optimization techniques are extremely critical as they are solely responsible for building an effective wind farm. Layout optimization is performed by using soft computing techniques and are extensively studied in the available literature. Therefore, this review paper highlights the significant research works of wind farm modelling using optimization techniques. This work also addresses the new approaches used in wind farm modelling. Further, it also presents a critical evaluation of existing research methodologies used for wind farm layout optimization. Hence, the objective of this work is to benefit scientists and new entrants in the field of modelling and layout optimization of the wind farm. … (more)
- Is Part Of:
- Renewable energy focus. Volume 35(2020)
- Journal:
- Renewable energy focus
- Issue:
- Volume 35(2020)
- Issue Display:
- Volume 35, Issue 2020 (2020)
- Year:
- 2020
- Volume:
- 35
- Issue:
- 2020
- Issue Sort Value:
- 2020-0035-2020-0000
- Page Start:
- 84
- Page End:
- 96
- Publication Date:
- 2020-12
- Subjects:
- Renewable energy sources -- Periodicals
Solar energy -- Periodicals
333.79405 - Journal URLs:
- http://www.elsevier.com/journals ↗
- DOI:
- 10.1016/j.ref.2020.09.001 ↗
- Languages:
- English
- ISSNs:
- 1755-0084
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 7364.190500
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 15361.xml