Wind Energy Harvesting and Conversion Systems: A Technical Review

Sinhara M. H. D. Perera, Ghanim Putrus (), Michael Conlon, Mahinsasa Narayana and Keith Sunderland
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Sinhara M. H. D. Perera: Department of Chemical Engineering, University of Rochester, Rochester, NY 14627, USA
Ghanim Putrus: Department of Mathematics, Physics and Electrical Engineering, Northumbria University, Newcastle upon Tyne NE1 8ST, UK
Michael Conlon: School of Electrical and Electronic Engineering, Technological University Dublin, D07 ADY7 Dublin, Ireland
Mahinsasa Narayana: Department of Chemical and Process Engineering, University of Moratuwa, Moratuwa 10400, Sri Lanka
Keith Sunderland: School of Electrical and Electronic Engineering, Technological University Dublin, D07 ADY7 Dublin, Ireland

Energies, 2022, vol. 15, issue 24, 1-34

Abstract: Wind energy harvesting for electricity generation has a significant role in overcoming the challenges involved with climate change and the energy resource implications involved with population growth and political unrest. Indeed, there has been significant growth in wind energy capacity worldwide with turbine capacity growing significantly over the last two decades. This confidence is echoed in the wind power market and global wind energy statistics. However, wind energy capture and utilisation has always been challenging. Appreciation of the wind as a resource makes for difficulties in modelling and the sensitivities of how the wind resource maps to energy production results in an energy harvesting opportunity. An opportunity that is dependent on different system parameters, namely the wind as a resource, technology and system synergies in realizing an optimal wind energy harvest. This paper presents a thorough review of the state of the art concerning the realization of optimal wind energy harvesting and utilisation. The wind energy resource and, more specifically, the influence of wind speed and wind energy resource forecasting are considered in conjunction with technological considerations and how system optimization can realise more effective operational efficiencies. Moreover, non-technological issues affecting wind energy harvesting are also considered. These include standards and regulatory implications with higher levels of grid integration and higher system non-synchronous penetration (SNSP). The review concludes that hybrid forecasting techniques enable a more accurate and predictable resource appreciation and that a hybrid power system that employs a multi-objective optimization approach is most suitable in achieving an optimal configuration for maximum energy harvesting.

Keywords: wind energy harvesting; forecasting techniques; turbine technology; maximum power point tracking; hybrid systems and optimization (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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