Wind Micro-Turbine Networks for Urban Areas: Optimal Design and Power Scalability of Permanent Magnet Generators

Marco Palmieri, Salvatore Bozzella, Giuseppe Leonardo Cascella, Marco Bronzini, Marco Torresi and Francesco Cupertino
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Marco Palmieri: Department of Electrical Engineering and Information Technology, Politecnico di Bari, 70126 Bari, Italy
Salvatore Bozzella: Department of Electrical Engineering and Information Technology, Politecnico di Bari, 70126 Bari, Italy
Giuseppe Leonardo Cascella: Department of Electrical Engineering and Information Technology, Politecnico di Bari, 70126 Bari, Italy
Marco Bronzini: Department of Electrical Engineering and Information Technology, Politecnico di Bari, 70126 Bari, Italy
Marco Torresi: Department of Mechanics, Mathematics and Management, Politecnico di Bari, 70126 Bari, Italy
Francesco Cupertino: Department of Electrical Engineering and Information Technology, Politecnico di Bari, 70126 Bari, Italy

Energies, 2018, vol. 11, issue 10, 1-21

Abstract: This work is focused on the design optimization of electrical machines that are used in small-scale direct-drive aerogenerators. A ducted wind turbine, equipped with a diffuser, is considered due to its enhanced power capability with respect to bare turbines. An annular type Permanent Magnet brushless generator is integrated in the turbine structure: the stator coils are placed in the internal part of the diffuser, whereas the permanent magnets are on an external ring connected to the turbine blade tips. Moreover, as regards the stator windings, the Printed Circuit Board (PCB) technology is investigated in order to exploit its advantages with respect to conventional wire coils, such as the increased current density capacity, the reduction of costs, and the enhanced precision and repeatability of the PCBs. An original design procedure is presented together with some scalability rules. An automated tool has been developed in order to aid the electrical machine designer in the first design stages: the tool performs multi-objective optimizations (using the Matlab Genetic Algorithm Toolbox), coupled to fast Finite Element analysis (through the open-source software FEMM) for the evaluation of the electromagnetic torque and field distribution. The proposed procedure is applied to the design of an annular PM generator directly coupled to a small-scale turbine for an urban application.

Keywords: electrical machines; renewable energy; ducted wind turbines; PCB winding; scalability; design automation; multi-objective optimization; FEA (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: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

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