Sathyajith Mathew
Professor
An educator, researcher and author focusing on Wind Energy
Research interests
- Offshore Wind Energy
- Low wind speed turbines
- Wind power forecasting
- Distributed wind energy
- Wind resource analysis
Courses and teaching
Work experience
PRESENT
- Programme Manager, Master’s in Renewable Energy, University of Agder, Norway
- Progeamme Coordinator, Flexible Learning for Offshore Wind (FLOW)
PAST
- Deputy Director, Institute of Applied Data Analytics, University of Brunei Darussalam - October 2017 to February 2018
- Deputy Director, UBD | IBM Centre, University of Brunei Darussalam - Nov. 2013 to Sept 2017
- Programme Leader, Physical and Geological Sciences, University of Brunei Darussalam - August 2013 to July 2014
- Co-Coordinator, Energy Research Cluster, University of Brunei Darussalam - Aug 2009 to March 2011
Academic interests
Projects
- Flexible Learning for Offshore Wind (FLOW)
- Artificially Intelligent Management System (AIMS) for Distributed Wind Energy
- Development of low wind speed turbine technology
- Ten Percent Renewable Energy in Brunei’s Power Generation Mix by 2035: A Technoeconomic Road Map
- Optimal micro-layout of wind farm considering 3 dimensional wake
- Consumer and Grid Friendly Homes
- Grid stability analysis and economic dispatch system
- Energy Management Network
Selected publications
BOOKS
- Wind Energy: Fundamentals Resource Analysis and Economics. Springer Berlin, Heidelberg and New York.
- ( Translated to Chinese as 风能 原理, 风 资源 分析 及 风 电场 经济 性 by China Machine Press).
- Advances in Wind Energy Conversion Technology. Springer Berlin, Heidelberg and New York.
- (Translated to Chinese as 在 风力 能源 转换 技术 的 进步 by China Machine Press).
PATENTS
- Wind farm layout in consideration of three-dimensional wake. U.S. Patent No. US9165092 B2 dated Oct 20, 2015.
- Novel Airfoil for Low Wind Speed Turbine. PCT No. PCT / IB2016 / 052426, 2016.
- Determination of Intermittent Renewable Energy Penetration Limits in a Grid US Patent Application: IN920150220US1 (1500-1786), 2016.
Scientific publications
- Kunjuramakurup, Lijin; Sulthan, Sheik Mohammed; Ponparakkal, Muhammed Shanir; Raj, Veena; Mathew, Sathyajith (2023). A High-Power Solar PV-fed TISO DC-DC Converter for Electric Vehicle Charging Applications. Energies. ISSN: 1996-1073. 16 (5). doi:10.3390/en16052186.
- Yakoub, Ghali; Mathew, Sathyajith; Leal, J B (2023). Direct and indirect short-term aggregated turbine- and farm-level wind power forecasts integrating several NWP sources. Heliyon. ISSN: 2405-8440. 9 (11). doi:10.1016/j.heliyon.2023.e21479.
- Veena, Raj; Dotse, Sam-Quarcoo; Mathew, Sathyajith; Petra, M. I.; Yassin, Hayati (2023). Ensemble Machine Learning for Predicting the Power Output from Different Solar Photovoltaic Systems. Energies. ISSN: 1996-1073. 16 (2). doi:10.3390/en16020671.
- Yakoub, Ghali; Mathew, Sathyajith; Leal, João Gouveia Aparício Bento (2022). Intelligent estimation of wind farm performance with direct and indirect ‘point’ forecasting approaches integrating several NWP models. Energy. ISSN: 0360-5442. 263 (D). doi:10.1016/j.energy.2022.125893.
- Yakoub, Ghali; Mathew, Sathyajith; Leal, J B (2022). Power production forecast for distributed wind energy systems using support vector regression. Energy Science & Engineering. ISSN: 2050-0505. s 1 - 12. doi:10.1002/ese3.1295.
- Veena, R.; Mathew, Sathyajith; Petra, M.I. (2020). Artificially intelligent models for the site-specific performance of wind turbines. International Journal of Energy and Environmental Engineering. ISSN: 2008-9163. 11s 289 - 297. doi:10.1007/s40095-020-00352-2.
- Yakoub, Ghali; Mathew, Sathyajith; Leal, J B (2020). Downscaling and improving the wind forecasts from NWP for wind energy applications using support vector regression. Journal of Physics: Conference Series (JPCS). ISSN: 1742-6588. 1618doi:10.1088/1742-6596/1618/6/062034.
- Femin, V.; Petra, I.; Mathew, Sathyajith; Hazra, J (2020). Econo- Environmental Dispatch Solutions for Power Systems Integrated with Renewable Energy Resources. 2020 International Conference and Utility Exhibition on Energy, Environment and Climate Change (ICUE). ISBN: 978-1-7281-8334-3. IEEE conference proceedings. chapter.
- Veena, R.; Manuel, S. M.; Mathew, Sathyajith; Petra, I. (2020). Parametric Models for Predicting the Performance of Wind Turbines. Materials Today: Proceedings. ISSN: 2214-7853. 24 (3). doi:10.1016/j.matpr.2020.03.604.
- Mathew, Sathyajith (2020). Sustainable energy towards air pollution and climate change mitigation. Journal of Environmental Management. ISSN: 0301-4797. 260 (109978). s 1 - 11. doi:10.1016/j.jenvman.2019.109978.
- Mathew, Sathyajith (2020). Wake Induced Power Losses in Wind Farms. International Journal of Engineering and Advanced Technology. ISSN: 2249-8958. 9 (3). s 2175 - 2180. doi:10.35940/ijeat.C5611.029320.
- Mathew, Sathyajith (2018). EnergyPlus models for the benchmarking of residential buildings in Brunei Darussalam. Energy and Buildings. ISSN: 0378-7788. doi:10.1016/j.enbuild.2016.03.039.
- Mathew, Sathyajith (2015). Numerical simulation of flow over an airfoil for small wind turbines using the γ−Reθ model. International Journal of Energy and Environmental Engineering. ISSN: 2008-9163. doi:10.1007/s40095-015-0188-7.
- Mathew, Sathyajith (2014). A Novel Low Reynolds Number Airfoil Design for Small Horizontal Axis Wind Turbines. Wind Engineering : The International Journal of Wind Power. ISSN: 0309-524X. doi:10.1260/0309-524x.38.4.377.
- Mathew, Sathyajith (2003). A High-Power Solar PV-fed TISO DC-DC Converter for Electric Vehicle Charging Applications. Energies. ISSN: 1996-1073.
- Mathew, Sathyajith (2011). Advances in Wind Energy Conversion Technology. ISBN: 978-3-540-88258-9. Springer. s 216.
- Mathew, Sathyajith (2006). Wind Energy. ISBN: 978-3-540-30906-2. Springer. s 252.
- Mian, Haris Hameed; Siddiqui, Muhammad Salman; Keprate, Arvind; Mathew, Sathyajith (2024). Neural network-based motion prtediction of semi-submercible floating platform for offshore wind.
- Mathew, Sathyajith (2023). Wind power forecasting.
- Mathew, Sathyajith (2023). An Introduction to Wind Power Forecasting.
Research groups
In social media
Last changed: 31.07.2023 10:07